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yifita/DSS | ['denoising'] | ['Differentiable Surface Splatting for Point-based Geometry Processing'] | DSS/core/camera.py DSS/utils/matrixConstruction.py DSS/misc/pix2pix/util/html.py DSS/core/rasterizer.py DSS/options/render_options.py DSS/core/renderer.py DSS/core/cloud.py DSS/misc/pix2pix/models/base_model.py DSS/misc/pix2pix/util/__init__.py DSS/utils/dataset.py DSS/misc/imageFilters.py DSS/utils/sampler.py DSS/misc/__init__.py DSS/misc/pix2pix/models/pix2pix_model.py DSS/misc/pix2pix/models/networks.py DSS/options/base_options.py DSS/utils/__init__.py DSS/misc/pix2pix/data/aligned_dataset.py DSS/models/point_modeling.py test_opendr.py DSS/utils/io.py DSS/models/__init__.py DSS/training/losses.py DSS/training/trainer.py DSS/misc/visualize.py DSS/__init__.py DSS/core/texture.py DSS/misc/pix2pix/data/single_dataset.py DSS/options/deformation_options.py common.py DSS/misc/pix2pix/data/__init__.py DSS/utils/mathHelper.py DSS/misc/pix2pix/options/base_options.py DSS/misc/pix2pix/options/test_options.py DSS/options/filter_options.py scripts/evaluatePointClouds.py DSS/misc/checkpoints.py DSS/models/common.py sequences.py DSS/misc/pix2pix/data/base_dataset.py DSS/misc/pix2pix/models/template_model.py scripts/create_mvr_data_from_mesh.py DSS/training/scheduler.py DSS/misc/pix2pix/models/__init__.py DSS/core/lighting.py DSS/misc/pix2pix/util/util.py DSS/options/finetune_options.py train_mvr.py DSS/misc/pix2pix/models/test_model.py setup.py config.py learn_image_filter.py DSS/logger.py scripts/pcl2Mesh.py get_light_for_view get_tri_color_lights_for_view create_animation create_generator create_point_texture create_model save_config create_trainer _get_tensor_with_default create_lights create_renderer create_dataset update_recursive create_cameras load_config trainImageFilter rotMatrix read_and_process_mesh create_callback test_earth test_teapot get_earthmesh get_logger color_cheat_sheet _CustomFormatter set_debugging_mode_ get_debugging_mode set_deterministic_ DebuggingTensor get_debugging_tensor CameraSampler denoise_normals project_to_latent_surface upsample PointCloudsFilters remove_outliers resample_uniformly PointClouds3D upsample_ear diffuse specular DirectionalLights PointLights _clip_grad PointFragments SurfaceSplatting _check_grad rasterize_elliptical_points PointsRasterizationSettings EllipticalRasterizer SurfaceSplattingRenderer NeuralTexture LightingTexture apply_lighting CheckpointIO is_url Pix2PixDenoising L0Smooth SuperPixel box gf plot_2D_quiver animate_points plot_3D_quiver figures_to_html plot_iso_surface plot_cuts animate_mesh Thread npy_loader AlignedDataset BaseDataset __flip get_transform __crop __make_power_2 __print_size_warning __scale_width get_params make_dataset SingleDataset CustomDatasetDataLoader get_option_setter find_dataset_using_name create_dataset BaseModel get_norm_layer PixelDiscriminator GANLoss ResnetGenerator ResnetBlock UnetSkipConnectionBlockRe1 define_D UnetGenerator UnetSkipConnectionBlock UnetGeneratorRe1 init_weights PixelNormLayer get_scheduler init_net NLayerDiscriminator cal_gradient_penalty define_G Pix2PixModel TemplateModel TestModel get_option_setter create_model find_model_using_name BaseOptions TestOptions HTML is_image_file save_img_tensor load_img print_numpy diagnose_network mkdirs mkdir save_image tensor2im ResidualSDF Siren RenderingNetwork ResnetBlockFC Embedder SineLayer _validate_out_dims get_embedder SDF Occupancy BaseModel approximate_gradient Generator Model save_mask_grad save_grad_with_name BaseGenerator BaseOptions parse_device DeformationOptions FilterOptions FinetuneOptions RenderOptions L1Loss NormalLengthLoss CosSimilarityLoss RepulsionLoss ProjectionLoss NormalLoss IouLoss SmapeLoss BaseLoss L2Loss SurfaceLoss TrainerScheduler Trainer BaseTrainer MVRDataset DTUDataset encodeFlow read_ply cart2pol save_ply saveDebugPNG save_ply_property pol2cart estimate_pointcloud_normals estimate_pointcloud_local_coord_frames pinverse ndc_to_pix eps_sqrt eps_denom to_homogen decompose_to_R_and_t rotationMatrix convertWorldToCameraTransform rotationMatrixX batchAffineMatrix rotationMatrixY batchLookAt rotationMatrixZ lookAt WeightedSubsetRandomSampler scatter_with_neg_idx intersection_with_unit_cube valid_value_mask gather_with_neg_idx tolerating_collate mask_packed_to_list num_points_2_cloud_to_packed_first_idx check_weights mask_from_padding get_grid_uniform slice_dict get_surface_high_res_mesh mask_padded_to_list get_class_from_string to_tensor get_tensor_values scatter_add_with_neg_idx make_image_grid reduce_mask_padded gather_batch_to_packed convert_tensor_property_to_value_dict num_points_2_packed_to_cloud_idx intersection_with_unit_sphere get_visible_points scaler_to_color get_grid get_per_point_visibility_mask get_names_and_paths get_filenames join list animate_points format sort figures_to_html dirname info append animate_mesh makedirs zeros_like FloatTensor PointLights cos pi transform_points stack DirectionalLights sin get_camera_center tensor look_at_rotation FloatTensor PointLights cos pi transform_points stack sin DirectionalLights tensor get update_recursive edict format info warn dirname isfile makedirs items list isinstance edict get NeuralTexture is_neural_shader create_lights texture LightingTexture PointLights DirectionalLights view MVRDataset DTUDataset get ones_like format sample_points_from_meshes Texture scale_verts_ texture_type get_class_from_string __class__ ico_sphere info to type LightingTexture Generator get_class_from_string format type join Trainer compositor_type raster_type rfind Renderer RasterSetting get_class_from_string renderer_type Compositor join setup name cloud output Trainer floor sum steps writeScene makedirs load_mesh deepcopy asarray mesh row dot v load_mesh ones_like asarray hasattr row dot v seed join SphericalHarmonics gaussian_pyramid format minimize r print rand dot ProjectPoints TexturedRenderer Rodrigues save v array get_earthmesh vc rand pi read_trimesh save copyto v write_mesh points range format LambertianPointLight copy ProjectPoints Rodrigues read_and_process_mesh join minimize r dot ColoredRenderer array write range setFormatter _CustomFormatter getLogger addHandler StreamHandler DEBUG setLevel seed manual_seed DebuggingTensor info warning set_debugging_mode_ convert_pointclouds_to_tensor filter estimate_pointcloud_local_coord_frames mask_from_padding convert_pointclouds_to_tensor estimate_pointcloud_normals unsqueeze denoise_normals frnn_grid_points exp project_to_latent_surface normalize sum range mean sqrt idx item dists frnn_gather _KNN isinstance is_pointclouds min normals_padded Tensor convert_pointclouds_to_tensor cos pi unsqueeze eps_denom exp frnn_grid_points shape normalize sum range ones_like new_zeros sqrt idx norm frnn_gather _KNN min full convert_pointclouds_to_tensor norm frnn_gather frnn_grid_points exp _KNN min sqrt idx normalize eps_denom sum knn_points warn indices unsqueeze padded_to_list list_to_padded gather tensor max all tolist expand shape append cat knn dists enumerate norm _KNN clone knn_points warn indices unsqueeze padded_to_list list_to_padded clamp_max gather tensor eps_denom max denoise_normals exp all tolist expand shape append normalize sum cat sqrt enumerate norm clone view relu convert_to_tensors_and_broadcast normalize sum len view relu float32 convert_to_tensors_and_broadcast normalize to sum len print _clip_grad int num_points_per_cloud points_packed register_hook expand apply cloud_to_packed_first_idx max specular warn ambient_color diffuse sum scheme cumsum tile ndim zeros_like sum zoom ones solve range eye box round array zeros label2rgb isinstance slic device Tensor to numpy enumerate len isinstance concatenate to fft2 range enumerate tile device real Tensor expand_dims numpy ifft2 zeros append conj parse create_model setup stack eval load Scatter3d makedirs figures_to_html dict vertices dirname Figure enumerate load makedirs figures_to_html dict dirname Figure Mesh3d enumerate data Figure list tolist OrderedDict update_layout dirname append normalize range cat Scatter3d enumerate add_trace norm time Cone items isinstance min makedirs write_html dict cpu Tensor Mesh3d numpy array len where unsqueeze tensor max fromarray squeeze_ list all OrderedDict update_layout array dirname cat create_quiver astype add_layout_image item float items norm time add_traces isinstance sort write_html dict cpu Tensor numpy Scatter makedirs sdf isinstance concatenate makedirs astype float32 write_html Figure dirname split append get_grid_uniform numpy Tensor enumerate _plot_cut write_html make_subplots stack linspace dirname meshgrid update_layout ravel range makedirs from_numpy load crop_size randint maximum load_size int size round __print_size_warning int size size print append join sorted walk items list import_module replace find_dataset_using_name CustomDatasetDataLoader load_data BatchNorm2d partial InstanceNorm2d LambdaLR CosineAnnealingLR ReduceLROnPlateau StepLR print apply init_weights to DataParallel ResnetGenerator UnetGenerator UnetGeneratorRe1 get_norm_layer NLayerDiscriminator PixelDiscriminator get_norm_layer view size rand grad mean requires_grad_ netD to items list replace print exit import_module find_model_using_name print __name__ find_model_using_name model data isinstance transpose tile Tensor numpy print parameters fromarray save print float64 astype flatten shape mkdir makedirs BICUBIC convert resize fromarray uint8 format print transpose astype save numpy clip list keys Embedder detach view shape stack repeat device to len print str device min axvline imshow scatter clf axhline savefig max pi cart2pol hsv2rgb full log sqrt pi arctan2 cos sin transpose read vstack concatenate PlyData concatenate transpose makedirs write fromarrays descr dirname names empty len normalizer save_ply Normalize amin get_cmap full amax abs clamp type_as sign diag_embed zeros_like view batch_svd transpose where shape convert_pointclouds_to_tensor _disambiguate_vector_directions view batch_svd knn_points knn mean shape cross any stack sum flip estimate_pointcloud_local_coord_frames transpose shape new_ones ndim cat cos eye sin cos eye sin cos eye sin transpose list new_zeros list view cross shape append normalize empty cross normalize empty tensor to cumsum pad repeat_interleave arange len full range items list set_trace warn any rfind import_module getattr list items isinstance normalizer reshape shape Normalize get_cmap isinstance dir numpy getattr is_tensor sum packed_to_list tolist tolist split zeros sum packed_to_padded item gather scatter clone scatter_ clone scatter_add scatter_add_ view clone expand shape gather len meshgrid arange astype valid_value_mask grid_sample squeeze shape unsqueeze permute long bool full view item norm unbind view error sort device stack unsqueeze warning expand_as gather to cat norm view zeros_like sqrt unsqueeze full_like expand_as sum meshgrid tensor T linspace numpy get_grid_uniform cuda transpose squeeze Trimesh append cat detach concatenate astype mean float enumerate get_grid float32 cpu marching_cubes_lewiner mm array split arange argmin min linspace cuda meshgrid numpy max PointsRasterizer get_per_point_visibility_mask unique raster commonpath list from_iterable sorted format isdir isinstance glob extend isfile | yifita/DSS | 4,200 |
yifjiang/relative-depth-using-pytorch | ['depth estimation'] | ['Single-Image Depth Perception in the Wild'] | src/experiment/load_data.py src/experiment/common/NYU_params.py src/experiment/models/hourglass.py test_model_on_NYU.py DataPointer.py models/criterion/relative_depth.py src/experiment/validation_crit/validate_crit1.py common/NYU_params.py validation_crit/validate_crit_DIW.py models/hourglass.py DataLoader.py DataLoader_DIW.py src/experiment/main.py test_on_one_image.py models/layers/inception.py src/experiment/test_model_on_DIW.py src/experiment/test_model_on_NYU.py validation_crit/validate_crit1.py src/experiment/DataLoader.py src/experiment/validation_crit/validate_crit_DIW.py src/experiment/DataPointer.py load_data.py src/experiment/test_on_one_image.py main.py src/experiment/DataLoader_DIW.py test_on_one_image_cpu.py test_model_on_DIW.py src/experiment/models/layers/inception.py src/experiment/models/criterion/relative_depth.py src/experiment/test_on_one_image_cpu.py DataLoader DataLoader DataPointer TrainDataLoader ValidDataLoader save_model save_loss_accuracy parseArgs save_best_model default_feval inpaint_pad_output_eigen _evaluate_correctness print_result _read_data_handle _read_one_sample normalize_output_depth_with_NYU_mean_std inpaint_pad_output_our metric_error _evaluate_correctness_out _read_data_handle main parseArgs main parseArgs Channels3 Channels4 f_depth_from_model_output Model Channels2 get_criterion Channels1 get_model ____get_depth_from_model_output relative_depth_crit inception DataLoader DataLoader DataPointer TrainDataLoader ValidDataLoader save_model save_loss_accuracy parseArgs save_best_model default_feval inpaint_pad_output_eigen _evaluate_correctness print_result _read_data_handle _read_one_sample normalize_output_depth_with_NYU_mean_std inpaint_pad_output_our metric_error _evaluate_correctness_out _read_data_handle main parseArgs main parseArgs Channels3 Channels4 f_depth_from_model_output Model Channels2 get_criterion Channels1 get_model ____get_depth_from_model_output relative_depth_crit inception _count_correct _classify reset_record evaluate _count_correct evaluate _is_correct _count_correct _classify reset_record evaluate _count_correct evaluate _is_correct parse_args add_argument ArgumentParser load_next_batch backward step zero_grad bs g_model forward join str remove rundir File close create_dataset isfile Tensor period str period save join period save str list reader print open len append int print range print range print format int range append zeros range Compose min crop copy_ scale Tensor max range mean pow abs cuda log float min clone paste save prev_model_file max cuda new parseArgs size Compose input_image float output_image load print Variable convert min cpu t_back Tensor resize print _classify range fill_ format collect print n_relative_depth_sample load_indices min _count_correct reset_record Tensor float forward range _is_correct criterion model | yifjiang/relative-depth-using-pytorch | 4,201 |
yikangli/video-rhythm | ['action recognition'] | ['Recognizing Video Events with Varying Rhythms'] | Breakfast/load_BF_data.py Breakfast/Skip_IndRNN.py VIRAT/indrnn.py Breakfast/indrnn.py VIRAT/utils.py Breakfast/Skip_IndRNN_BF.py Breakfast/extract_deep_features.py VIRAT/Skip_IndRNN_VIRAT.py VIRAT/IndRNN_VIRAT.py Breakfast/create_list.py Breakfast/IndRNN_BF_baseline.py VIRAT/VIRAT_Dataloader.py VIRAT/load_VIRAT_data.py VIRAT/Skip_IndRNN.py Breakfast/utils.py check_bounds IndRNNCell IndRNN IndRNNv2 loss_regu Dropout_overtime VENet BF_Deep_Feature SkipIndRNN check_bounds SkipIndRNNCell BinaryLayer loss_regu VENet get_mean_and_std AveragePrecisionMeter performance_stats progress_bar read_json save_checkpoint write_json format_time init_params mkdir_if_missing check_bounds IndRNNCell IndRNN IndRNNv2 loss_regu l2norm VENet VIRAT_Deep_Feature SkipIndRNN check_bounds SkipIndRNNCell BinaryLayer loss_regu l2norm VENet get_mean_and_std AveragePrecisionMeter performance_stats progress_bar read_json save_checkpoint write_json format_time init_params mkdir_if_missing default_collate RandomSampler DataLoader BatchSampler _DataLoaderIter SequentialSampler Sampler clamp clamp_ mul sign mean size float abs sum print DataLoader div_ zeros range len normal constant isinstance kaiming_normal Conv2d bias modules BatchNorm2d weight Linear int time join format_time write append range flush len int mean std cat makedirs dirname save mkdir_if_missing dirname mkdir_if_missing sqrt sum sum list isinstance Sequence new Mapping type zip _new_shared is_tensor | yikangli/video-rhythm | 4,202 |
yikeqicn/DeepErase | ['optical character recognition'] | ['DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images'] | src/CleaningRecognitionJointModel/archive/Model_Unet_github.py src/CleaningStandaloneModel/archived/Model_128.py src/CleaningRecognitionJointModel/archive/recognition/utils.py src/CleaningRecognitionJointModel/utils_recg.py src/DataFactory/archived/data_artifact_edit_w_spurious_words_archive_05182019.py src/CleaningRecognitionJointModel/archive/recognition/utils_preprocess.py src/CleaningRecognitionJointModel/datasets_recg.py src/CleaningRecognitionJointModel/Model_Binary_Joint.py src/CleaningRecognitionJointModel/Densenet4htr.py src/CleaningStandaloneModel/archived/Model_Unet_github_archive.py src/CleaningStandaloneModel/recognition/utils.py src/CleaningStandaloneModel/recognition/Model.py src/CleaningRecognitionJointModel/datasets_seg.py src/CleaningRecognitionJointModel/utils.py src/DataFactory/data_artifact_edit_w_spurious_words.py src/CleaningRecognitionJointModel/archive/recognition/Densenet4htr.py src/CleaningRecognitionJointModel/utils_seg.py src/CleaningStandaloneModel/recognition/Densenet4htr.py src/CleaningStandaloneModel/utils.py src/CleaningStandaloneModel/datasets.py src/CleaningStandaloneModel/recognition/utils_preprocess.py src/CleaningRecognitionJointModel/dustbin/Densenet4htr_archive.py src/CleaningStandaloneModel/Model_Unet_github.py src/CleaningStandaloneModel/archived/Model_Stack.py src/CleaningRecognitionJointModel/archive/recognition/Model.py src/CleaningStandaloneModel/archived/Model.py src/DataFactory/archived/data_artifact_edit.py src/CleaningStandaloneModel/archived/Model_simpU_inhouse.py src/CleaningStandaloneModel/main.py REAL PRT PRT_WORD IRS read_text EyDigitStrings IAM IRS_83 PRT_WORD_20000 IRS_2000 ArtTypeWriterBin ArtPrintNoIntsectLBW IRSPRT_3000 ArtPrintNoIntsectLBW_biameyd_siameyd ArtPrintNoIntsectHVBW_bpr_spr RecgArtPrintNoIntsectHVBW ArtPrintNoIntsectHVBW ArtTypeWriter ArtPrintNoIntsectBinary ArtPrintNoIntsectLBW_bpr_spr ArtPrintNoIntsectBinary_20000 ArtPrintNoIntsectLBW_biameyd_sprt IRSPRTWORD ArtPrintNoIntsectHVBW_biameyd_sprt ArtPrintNoIntsectHVBW_biameyd_siameyd ArtPrint IRSManual ArtPrintNoIntsectHVBW_biameyd_siameyd_5000 ArtPrintNoIntsect read_text ArtPrintNoIntsectBinary_3000 IRSPRT Densenet4htr densenet_feature_extractor pixel_wise_softmax DecoderType crop_and_concat max_pool deconv2d conv2d Model weight_variable_devonc bias_variable create_conv_net cross_entropy weight_variable storeImageQueue log_images _add_loss_summaries fast_hist _activation_summary get_image_summary get_hist per_class_acc print_hist_summery writeImage _variable_with_weight_decay _variable_on_cpu log_image2 maybe_download debug_settings log_image maybe_download storeImageQueue log_images _add_loss_summaries fast_hist _activation_summary get_image_summary get_hist per_class_acc print_hist_summery writeImage _variable_with_weight_decay _variable_on_cpu log_image2 maybe_download pixel_wise_softmax crop_and_concat max_pool deconv2d conv2d Model weight_variable_devonc bias_variable create_conv_net cross_entropy weight_variable Densenet4htr densenet_feature_extractor RecgModel DecoderType debug_settings log_image maybe_download merge_patch_box_random target_aspect_pad merge_patch tight_crop center_pad keep_aspect_pad merge_patch_horiz_random img_normalize add_artifacts horizontal_stretch remove_background clean_lines Densenet4htr densenet_feature_extractor ArtTypeWriterBin ArtPrintNoIntsectLBW IRS ArtPrintNoIntsectLBW_biameyd_siameyd ArtPrintNoIntsectHVBW_bpr_spr RecgArtPrintNoIntsectHVBW ArtPrintNoIntsectHVBW ArtTypeWriter ArtPrintNoIntsectBinary ArtPrintNoIntsectLBW_bpr_spr ArtPrintNoIntsectLBW_biameyd_sprt IRSPRTWORD ArtPrintNoIntsectHVBW_biameyd_sprt ArtPrintNoIntsectHVBW_biameyd_siameyd ArtPrint IRSManual ArtPrintNoIntsect REAL read_text IRSPRT main checkArgs pixel_wise_softmax crop_and_concat max_pool deconv2d conv2d Model weight_variable_devonc bias_variable create_conv_net cross_entropy weight_variable storeImageQueue log_images _add_loss_summaries fast_hist _activation_summary get_image_summary get_hist per_class_acc print_hist_summery writeImage _variable_with_weight_decay _variable_on_cpu log_image2 maybe_download msra_initializer batch_norm_layer deconv_layer orthogonal_initializer Model conv_layer_with_bn get_deconv_filter msra_initializer batch_norm_layer deconv_layer orthogonal_initializer Model conv_layer_with_bn get_deconv_filter msra_initializer batch_norm_layer deconv_layer orthogonal_initializer Model conv_layer_with_bn get_deconv_filter msra_initializer batch_norm_layer deconv_layer orthogonal_initializer Model conv_layer_with_bn get_deconv_filter pixel_wise_softmax crop_and_concat max_pool deconv2d conv2d Model weight_variable_devonc bias_variable create_conv_net cross_entropy weight_variable Densenet4htr densenet_feature_extractor RecgModel DecoderType debug_settings log_image maybe_download merge_patch_box_random target_aspect_pad merge_patch tight_crop center_pad keep_aspect_pad merge_patch_horiz_random img_normalize add_artifacts horizontal_stretch remove_background clean_lines merge_patch_box_random merge_patch_vertic_random merge_patch merge_patch_horiz_random merge_patch_words_random remove_background merge_patch_horiz_random2 merge_patch_box_random merge_patch_horiz_random merge_patch remove_background merge_patch_box_random merge_patch merge_patch_horiz_random merge_patch_words_random remove_background array truncated_normal array constant format OrderedDict info append range slice reshape stack transpose join list str imwrite remove concatenate astype copy zip sleep log_image join str remove replace axis tight_layout imshow title savefig dirname sleep log_image makedirs print getcwd join system name zero_fraction sub histogram scalar name get_collection apply average ExponentialMovingAverage scalar multiply add_to_collection _variable_on_cpu l2_loss fromarray uint8 copy save zeros array range fromarray uint8 reshape save writeImage range zeros range print range nanmean float sum diag print diag nanmean append zeros float sum range join str T remove replace axis tight_layout imshow title savefig dirname sleep makedirs randint int Canny line COLOR_BGR2GRAY squeeze cos copy pi shape HoughLines resize GaussianBlur max sin cvtColor COLOR_BGR2GRAY ones copy erode cvtColor merge_patch_box_random target_aspect_pad tuple imgsize keep_aspect_pad merge_patch_horiz_random horizontal_stretch resize meanStdDev int shape pad randint max int shape pad randint max copy int arange reduce logical_and copy maximum shape remove_background meshgrid array min choice IMREAD_GRAYSCALE resize normalize imread max min choice IMREAD_GRAYSCALE resize normalize imread max ckptpath batch_size print lrDrop2 max_epoch lrInit test transfer data_root lrDrop1 int random_split print samples image_h Compose ArtPrint training DataLoader Model data_root array image_w train sum checkArgs len sqrt constant_initializer ceil zeros abs range global_variables_initializer int64 zeros min choice IMREAD_GRAYSCALE resize normalize imread max min choice IMREAD_GRAYSCALE resize normalize imread max min where choice IMREAD_GRAYSCALE resize normalize imread sum max | yikeqicn/DeepErase | 4,203 |
yiling-chen/view-finding-network | ['image cropping'] | ['Learning to Compose with Professional Photographs on the Web'] | create_dbs.py network.py vfn_train.py vfn_eval.py download_images.py _bytes_feature create_database _int64_feature _float_feature fetch_image score svm_loss build_loss_matrix conv build_alexconvnet ranknet_loss get_variable_dict loss evaluate_sliding_window overlap_ratio evaluate_FCDB evaluate_aesthetics_score str2bool count_tfrecords inputs read_and_decode generate_validation_history str2bool read_and_decode_aug print format compile len join urlretrieve print save exists open zeros range get_variable constant score maximum matmul reduce_mean zeros_like sigmoid_cross_entropy_with_logits score matmul reduce_mean print format concat convolve split int relu_layer local_response_normalization relu max_pool conv prod get_variable min max astype float32 repeat resize run zeros expand_dims argmax range len evaluate_sliding_window join read format print float overlap_ratio loads imread abs astype float32 resize zeros expand_dims range len read TFRecordReader decode_raw uint8 reshape float32 cast parse_single_example read TFRecordReader decode_raw uint8 random_flip_left_right reshape float32 random_brightness cast parse_single_example random_contrast batch shuffle_batch read_and_decode read_and_decode_aug tf_record_iterator | yiling-chen/view-finding-network | 4,204 |
ying09/TextFuseNet | ['scene text detection'] | ['TextFuseNet: Scene Text Detection with Richer Fused Features', '$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge'] | projects/DensePose/densepose/densepose_coco_evaluation.py tests/test_checkpoint.py detectron2/modeling/proposal_generator/build.py detectron2/evaluation/cityscapes_evaluation.py detectron2/utils/visualizer.py detectron2/utils/collect_env.py tools/visualize_data.py detectron2/modeling/anchor_generator.py detectron2/data/detection_utils.py detectron2/modeling/proposal_generator/rpn_outputs.py detectron2/modeling/proposal_generator/rpn.py detectron2/checkpoint/__init__.py demo/ctw1500_detection.py projects/TridentNet/tridentnet/trident_rcnn.py detectron2/modeling/postprocessing.py detectron2/config/compat.py projects/DensePose/train_net.py detectron2/evaluation/sem_seg_evaluation.py detectron2/evaluation/lvis_evaluation.py detectron2/utils/registry.py detectron2/modeling/backbone/backbone.py detectron2/modeling/roi_heads/fast_rcnn.py tests/test_boxes.py detectron2/data/datasets/lvis.py detectron2/modeling/roi_heads/mask_head.py detectron2/data/samplers/__init__.py projects/DensePose/densepose/evaluator.py detectron2/utils/logger.py detectron2/structures/__init__.py detectron2/modeling/meta_arch/semantic_seg.py detectron2/modeling/meta_arch/retinanet.py detectron2/modeling/roi_heads/rotated_fast_rcnn.py detectron2/data/samplers/grouped_batch_sampler.py detectron2/layers/roi_align.py setup.py detectron2/utils/events.py detectron2/layers/roi_align_rotated.py detectron2/utils/video_visualizer.py detectron2/data/samplers/distributed_sampler.py detectron2/modeling/sampling.py detectron2/utils/__init__.py projects/DensePose/apply_net.py detectron2/structures/image_list.py detectron2/checkpoint/model_zoo.py detectron2/evaluation/panoptic_evaluation.py detectron2/layers/__init__.py detectron2/modeling/roi_heads/roi_heads.py detectron2/modeling/backbone/__init__.py docs/conf.py detectron2/data/transforms/transform_gen.py tools/visualize_json_results.py detectron2/utils/comm.py detectron2/evaluation/testing.py detectron2/structures/instances.py detectron2/data/__init__.py detectron2/modeling/box_regression.py detectron2/solver/lr_scheduler.py projects/TridentNet/tridentnet/trident_rpn.py tools/train_net.py detectron2/data/datasets/pascal_voc.py detectron2/data/catalog.py detectron2/config/__init__.py detectron2/modeling/test_time_augmentation.py projects/DensePose/densepose/vis/extractor.py tests/test_roi_align.py detectron2/modeling/proposal_generator/rrpn_outputs.py detectron2/modeling/roi_heads/box_head.py projects/DensePose/densepose/structures.py detectron2/modeling/meta_arch/__init__.py projects/DensePose/densepose/utils/dbhelper.py demo/demo.py detectron2/solver/build.py tools/benchmark.py detectron2/data/transforms/__init__.py detectron2/config/defaults.py tests/test_roi_pooler.py projects/DensePose/densepose/densepose_head.py detectron2/modeling/meta_arch/rcnn.py projects/DensePose/densepose/config.py detectron2/layers/batch_norm.py detectron2/modeling/roi_heads/mutil_path_fuse_module.py detectron2/data/datasets/coco.py demo/icdar2015_detection.py detectron2/evaluation/__init__.py tests/test_sampler.py projects/DensePose/densepose/roi_head.py detectron2/checkpoint/detection_checkpoint.py projects/DensePose/densepose/dataset.py projects/TridentNet/tridentnet/config.py projects/TridentNet/tridentnet/trident_conv.py detectron2/structures/keypoints.py detectron2/engine/__init__.py detectron2/utils/serialize.py detectron2/config/config.py projects/DensePose/densepose/dataset_mapper.py projects/DensePose/densepose/vis/bounding_box.py detectron2/engine/train_loop.py detectron2/modeling/matcher.py projects/DensePose/densepose/vis/base.py detectron2/data/dataset_mapper.py detectron2/data/datasets/cityscapes.py detectron2/modeling/proposal_generator/proposal_utils.py detectron2/data/datasets/builtin.py detectron2/modeling/roi_heads/cascade_rcnn.py projects/TridentNet/tridentnet/__init__.py detectron2/data/transforms/transform.py detectron2/modeling/proposal_generator/rrpn.py detectron2/engine/hooks.py detectron2/layers/mask_ops.py projects/TridentNet/tridentnet/trident_backbone.py tests/test_roi_heads.py demo/predictor.py detectron2/data/datasets/__init__.py detectron2/data/datasets/builtin_meta.py detectron2/modeling/roi_heads/keypoint_head.py tests/test_nms_rotated.py detectron2/data/build.py tests/test_anchor_generator.py tests/test_data_transform.py tests/test_rpn.py detectron2/modeling/roi_heads/__init__.py detectron2/modeling/proposal_generator/__init__.py detectron2/checkpoint/c2_model_loading.py detectron2/__init__.py detectron2/data/datasets/register_coco.py detectron2/modeling/roi_heads/seg_head.py tests/test_mask_ops.py detectron2/layers/nms.py detectron2/modeling/meta_arch/build.py tests/test_rotated_boxes.py detectron2/structures/masks.py projects/DensePose/densepose/utils/logger.py detectron2/solver/__init__.py detectron2/evaluation/coco_evaluation.py detectron2/layers/wrappers.py projects/DensePose/densepose/__init__.py detectron2/engine/defaults.py projects/DensePose/query_db.py tests/test_visualizer.py demo/totaltext_detection.py detectron2/layers/deform_conv.py tools/plain_train_net.py detectron2/structures/rotated_boxes.py projects/DensePose/densepose/vis/densepose.py projects/TridentNet/train_net.py detectron2/modeling/backbone/resnet.py detectron2/layers/rotated_boxes.py tests/test_box2box_transform.py detectron2/modeling/backbone/fpn.py tests/test_roi_align_rotated.py datasets/prepare_panoptic_fpn.py detectron2/utils/colormap.py detectron2/evaluation/pascal_voc_evaluation.py detectron2/modeling/backbone/build.py detectron2/modeling/__init__.py tests/test_fast_rcnn.py detectron2/modeling/meta_arch/panoptic_fpn.py demo/icdar2013_detection.py detectron2/utils/env.py tests/test_config.py detectron2/engine/launch.py detectron2/layers/shape_spec.py detectron2/data/datasets/lvis_v0_5_categories.py detectron2/modeling/poolers.py tests/__init__.py detectron2/evaluation/evaluator.py detectron2/structures/boxes.py detectron2/data/common.py get_extensions separate_coco_semantic_from_panoptic link_val100 _process_panoptic_to_semantic save_result_to_txt get_parser compute_polygon_area setup_cfg get_parser setup_cfg save_result_to_txt get_parser setup_cfg save_result_to_txt get_parser compute_polygon_area setup_cfg VisualizationDemo AsyncPredictor save_result_to_txt get_parser compute_polygon_area setup_cfg convert_c2_detectron_names convert_basic_c2_names align_and_update_state_dicts DetectionCheckpointer Detectron2Handler ModelCatalogHandler ModelCatalog upgrade_config downgrade_config _rename _RenameConverter ConverterV2 ConverterV1 guess_version set_global_cfg get_cfg CfgNode build_batch_data_sampler print_instances_class_histogram build_detection_test_loader filter_images_with_few_keypoints build_detection_train_loader load_proposals_into_dataset worker_init_reset_seed get_detection_dataset_dicts trivial_batch_collator filter_images_with_only_crowd_annotations _quantize MetadataCatalog DatasetCatalog Metadata DatasetFromList MapDataset DatasetMapper check_metadata_consistency annotations_to_instances transform_instance_annotations annotations_to_instances_rotated transform_proposals gen_crop_transform_with_instance build_transform_gen check_image_size create_keypoint_hflip_indices SizeMismatchError filter_empty_instances transform_keypoint_annotations read_image register_all_coco register_all_cityscapes register_all_lvis register_all_pascal_voc _get_coco_instances_meta _get_builtin_metadata _get_coco_panoptic_separated_meta load_cityscapes_instances load_cityscapes_semantic cityscapes_files_to_dict load_sem_seg convert_to_coco_json load_coco_json convert_to_coco_dict register_lvis_instances get_lvis_instances_meta _get_lvis_instances_meta_v0_5 load_lvis_json load_voc_instances register_pascal_voc merge_to_panoptic register_coco_panoptic_separated register_coco_instances RepeatFactorTrainingSampler InferenceSampler TrainingSampler GroupedBatchSampler ExtentTransform Resize_rotated_box ResizeTransform HFlip_rotated_box TransformGen RandomFlip RandomSaturation check_dtype RandomLighting apply_transform_gens RandomContrast Resize RandomCrop ResizeShortestEdge RandomExtent RandomBrightness default_setup DefaultTrainer DefaultPredictor default_argument_parser PeriodicCheckpointer LRScheduler IterationTimer PreciseBN CallbackHook PeriodicWriter AutogradProfiler EvalHook launch _distributed_worker _find_free_port SimpleTrainer HookBase TrainerBase CityscapesEvaluator _evaluate_box_proposals _evaluate_predictions_on_coco COCOEvaluator instances_to_json DatasetEvaluator DatasetEvaluators inference_on_dataset inference_context _evaluate_predictions_on_lvis _evaluate_box_proposals LVISEvaluator COCOPanopticEvaluator _print_panoptic_results PascalVOCDetectionEvaluator parse_rec voc_eval voc_ap SemSegEvaluator verify_results print_csv_format flatten_results_dict NaiveSyncBatchNorm FrozenBatchNorm2d AllReduce get_norm ModulatedDeformConv DeformConv _ModulatedDeformConv _DeformConv paste_mask_in_image_old pad_masks _do_paste_mask paste_masks_in_image scale_boxes nms_rotated batched_nms_rotated batched_nms ROIAlign _ROIAlign _ROIAlignRotated ROIAlignRotated pairwise_iou_rotated ShapeSpec _NewEmptyTensorOp Conv2d interpolate BatchNorm2d ConvTranspose2d cat RotatedAnchorGenerator build_anchor_generator _create_grid_offsets BufferList DefaultAnchorGenerator Box2BoxTransformRotated Box2BoxTransform Matcher convert_boxes_to_pooler_format assign_boxes_to_levels ROIPooler detector_postprocess sem_seg_postprocess subsample_labels DatasetMapperTTA GeneralizedRCNNWithTTA Backbone build_backbone LastLevelMaxPool build_retinanet_resnet_fpn_backbone build_resnet_fpn_backbone FPN LastLevelP6P7 _assert_strides_are_log2_contiguous ResNet ResNetBlockBase BottleneckBlock build_resnet_backbone DeformBottleneckBlock make_stage BasicStem build_model combine_semantic_and_instance_outputs PanopticFPN ProposalNetwork GeneralizedRCNN permute_all_cls_and_box_to_N_HWA_K_and_concat permute_to_N_HWA_K RetinaNet RetinaNetHead SemanticSegmentor SemSegFPNHead build_sem_seg_head build_proposal_generator add_ground_truth_to_proposals add_ground_truth_to_proposals_single_image RPN StandardRPNHead build_rpn_head rpn_losses RPNOutputs find_top_rpn_proposals RRPN RRPNOutputs find_top_rrpn_proposals build_box_head FastRCNNConvFCHead _ScaleGradient CascadeROIHeads FastRCNNOutputs fast_rcnn_inference fast_rcnn_inference_single_image FastRCNNOutputLayers build_keypoint_head keypoint_rcnn_inference KRCNNConvDeconvUpsampleHead keypoint_rcnn_loss MaskRCNNConvUpsampleHead mask_rcnn_loss build_mask_head mask_rcnn_inference get_selfarea_and_interarea Mutil_Path_Fuse_Module build_mutil_path_fuse_module Res5ROIHeads build_roi_heads ROIHeads select_proposals_with_visible_keypoints select_foreground_proposals StandardROIHeads RROIHeads RotatedFastRCNNOutputs fast_rcnn_inference_single_image_rotated fast_rcnn_inference_rotated Segmentation_head build_seg_head build_seg_head_loss make_segmentation_gt Segmentation_LossComputation build_lr_scheduler build_optimizer WarmupMultiStepLR WarmupCosineLR _get_warmup_factor_at_iter pairwise_iou matched_boxlist_iou BoxMode Boxes ImageList Instances Keypoints _keypoints_to_heatmap heatmaps_to_keypoints polygon_area BitMasks polygons_to_bitmask rasterize_polygons_within_box PolygonMasks pairwise_iou RotatedBoxes get_env_module collect_torch_env collect_env_info random_color colormap get_local_size synchronize get_world_size get_local_rank reduce_dict _get_global_gloo_group shared_random_seed all_gather get_rank gather _serialize_to_tensor is_main_process _pad_to_largest_tensor setup_environment setup_custom_environment _configure_libraries _import_file seed_all_rng EventStorage TensorboardXWriter EventWriter get_event_storage JSONWriter CommonMetricPrinter _cached_log_stream log_first_n _find_caller setup_logger log_every_n create_small_table _ColorfulFormatter Registry PicklableWrapper _DetectedInstance VideoVisualizer VisImage Visualizer GenericMask ColorMode _PanopticPrediction _create_text_labels url_resolver setup autodoc_skip_member ShowAction create_argument_parser register_action InferenceAction main DumpAction Action setup_dataset ShowAction create_argument_parser register_action EntrywiseAction main PrintAction Action main setup Trainer add_densepose_config get_densepose_metadata DatasetMapper Params DensePoseCocoEval _extract_single_tensors_from_matches_one_image build_densepose_losses DensePoseV1ConvXHead DensePoseLosses _linear_interpolation_utilities densepose_inference _grid_sampling_utilities DensePoseDataFilter initialize_module_params build_densepose_data_filter _resample_data _extract_at_points_packed build_densepose_predictor build_densepose_head DensePosePredictor _extract_single_tensors_from_matches prediction_to_json _evaluate_predictions_on_coco DensePoseCOCOEvaluator DensePoseROIHeads DensePoseResult DensePoseList normalized_coords_transform DensePoseTransformData DensePoseDataRelative DensePoseOutput AllEntrySelector EntrySelector FieldEntrySelector verbosity_to_level PointsVisualizer CompoundVisualizer RectangleVisualizer TextVisualizer MatrixVisualizer BoundingBoxVisualizer ScoredBoundingBoxVisualizer _extract_v_from_iuvarr DensePoseDataPointsVisualizer DensePoseDataPointsIVisualizer DensePoseDataPointsVVisualizer DensePoseResultsMplContourVisualizer DensePoseDataCoarseSegmentationVisualizer DensePoseResultsVVisualizer DensePoseResultsFineSegmentationVisualizer _densepose_data_i_for_cmap DensePoseOutputsFineSegmentationVisualizer _extract_u_from_iuvarr DensePoseOutputsVVisualizer DensePoseOutputsUVisualizer _densepose_data_v_for_cmap _densepose_data_u_for_cmap DensePoseDataPointsUVisualizer DensePoseResultsVisualizer DensePoseMaskedColormapResultsVisualizer DensePoseResultsCustomContourVisualizer _extract_i_from_iuvarr DensePoseResultsUVisualizer extract_boxes_xywh_from_instances BoundingBoxExtractor ScoreThresholdedExtractor CompoundExtractor ScoredBoundingBoxExtractor DensePoseResultExtractor extract_scores_from_instances NmsFilteredExtractor create_extractor main setup Trainer add_tridentnet_config build_trident_resnet_backbone TridentBottleneckBlock make_trident_stage TridentConv merge_branch_instances TridentStandardROIHeads TridentRes5ROIHeads TridentRPN TestAnchorGenerator random_rotated_boxes TestBox2BoxTransformRotated random_boxes TestBox2BoxTransform TestBoxIOU TestBoxMode TestCheckpointer TestConfigVersioning TestTransforms FastRCNNTest rasterize_polygons_with_grid_sample TestMaskCropPaste benchmark_paste iou_between_full_image_bit_masks TestNMSRotated ROIAlignTest ROIAlignRotatedTest ROIHeadsTest TestROIPooler TestRotatedBoxesLayer TestRotatedBoxesStructure benchmark_rotated_iou RPNTest TestGroupedBatchSampler TestVisualizer benchmark_eval benchmark_data setup benchmark_train setup get_evaluator do_train main do_test main setup Trainer parse_args output setup create_instances dataset_id_map get join format glob dirname abspath append asarray zeros_like save rgb2id open time format starmap partial print makedirs iter_annotations Pool enumerate join relpath print symlink makedirs merge_from_file confidence_threshold config_file get_cfg weights merge_from_list opts freeze add_argument ArgumentParser range len pred_classes close open writelines compute_polygon_area append array range len str int tensor boxPoints write minAreaRect deepcopy deepcopy sorted format convert_basic_c2_names zip getLogger tuple shape startswith info keys cat get_missing_parameters_message getLogger tuple warning max values list sorted view tolist shape convert_c2_detectron_names format info keys enumerate error clone get_unexpected_parameters_message len VERSION upgrade clone range VERSION downgrade clone range VERSION format warning getLogger _get _del _set split clear update getLogger format info len getLogger format info len pop sorted format getLogger set info enumerate list sorted copy list tabulate arange format chain min log_first_n extend zip_longest colored zeros sum INFO len GroupedBatchSampler _quantize BatchSampler list check_metadata_consistency thing_classes print_instances_class_histogram filter_images_with_few_keypoints from_iterable zip filter_images_with_only_crowd_annotations RepeatFactorTrainingSampler build_batch_data_sampler format TrainingSampler IMS_PER_BATCH getLogger get_world_size TRAIN DataLoader MapDataset SAMPLER_TRAIN REPEAT_THRESHOLD get_detection_dataset_dicts info DatasetMapper DatasetFromList len DataLoader MapDataset BatchSampler get_detection_dataset_dicts DatasetMapper DatasetFromList InferenceSampler len randint seed_all_rng pop apply_box convert astype Boxes Instances nonempty XYXY_ABS as_tensor clip XYXY_ABS convert transform_keypoint_annotations apply_coords reshape Keypoints from_polygon_masks Boxes Instances tensor PolygonMasks clip Instances tensor clip RotatedBoxes append nonempty get update check_metadata_consistency keypoint_flip_map dict keypoint_names minimum asarray convert astype maximum randint int32 XYXY_ABS str format getLogger error enumerate str RandomFlip MIN_SIZE_TRAIN_SAMPLING info getLogger RandomSaturation RandomLighting MIN_SIZE_TEST random RandomContrast MIN_SIZE_TRAIN ResizeShortestEdge MAX_SIZE_TRAIN MAX_SIZE_TEST RandomBrightness append get join list items register_coco_instances _get_builtin_metadata register_coco_panoptic_separated register_lvis_instances list join items get_lvis_instances_meta join list format items set _get_builtin_metadata register join register_pascal_voc update _get_coco_instances_meta join format partial getLogger glob map info append Pool len append join glob list asarray isinstance Polygon endswith bounds geoms id buffer difference is_empty nonzero unique append XYXY_ABS union chain warn warning Timer getCatIds sorted list append get format XYWH_ABS zip loadImgs info seconds keys enumerate join get_local_path loadCats len list sorted format zip warn set info append len get XYWH_ABS convert len item info append sum PolygonMasks enumerate join mkdirs convert_to_coco_dict info register set Timer load_imgs get_local_path format seconds sorted list zip join get set get_lvis_instances_meta startswith info LVIS keys append len join parse findall text append find register set register set register set update append copy width arctan2 cos h pi w new_w sin new_h check_dtype get_transform apply_image append getuid add_argument hash ArgumentParser str read format collect_env_info hasattr join config_file CUDNN_BENCHMARK setup_logger get_world_size get_rank mkdirs abspath info OUTPUT_DIR seed_all_rng socket bind close AF_INET SOCK_STREAM _find_free_port spawn main_func list init_process_group new_group synchronize set_device main_func range pred_masks_rle XYWH_ABS has pred_keypoints convert tolist append XYXY_ABS numpy range len arange zeros_like max pairwise_iou Boxes append sum loadAnns range cat getAnnIds mean float proposal_boxes enumerate reshape sort min zeros as_tensor len pop deepcopy evaluate COCOeval summarize accumulate loadRes array int time format str evaluate getLogger min timedelta reset info len eval train training get_ann_ids load_anns pop deepcopy format getLogger LVISResults warn get_results create_small_table print_results info LVISEval run append tabulate info int parse findall text append find arange concatenate size maximum sum max range parse_rec cumsum argmax max sum range eps format astype float minimum reshape maximum voc_ap argsort zeros bool array len join list format items getLogger info str getLogger error exit EXPECTED_RESULTS pformat info abs items list isinstance isinstance arange grid_sample size expand stack device to split int arange chunk _do_paste_mask device ceil tensor to zeros len fromarray max uint8 min from_numpy resize zeros to numpy array float new_zeros zeros_like nms view size tolist new_zeros nms_rotated min clone to max _output_size tuple meshgrid reshape arange NAME clamp sqrt log2 floor epsilon cat cat pred_boxes has Instances scale paste_masks_in_image proposal_boxes image_size clip expand int squeeze min numel NAME ShapeSpec enumerate IN_FEATURES OUT_CHANNELS FPN build_resnet_backbone IN_FEATURES OUT_CHANNELS FPN build_resnet_backbone append block_class range convert_frozen_batchnorm STEM_OUT_CHANNELS make_stage WIDTH_PER_GROUP max DEFORM_NUM_GROUPS FREEZE_AT RES2_OUT_CHANNELS append freeze range OUT_FEATURES DEPTH RES5_DILATION DEFORM_ON_PER_STAGE BasicStem enumerate NORM STRIDE_IN_1X1 parameters DEFORM_MODULATED NUM_GROUPS META_ARCHITECTURE zeros_like tolist argsort item append to shape reshape permute view view NAME NAME ones Instances device image_size log cat len HEAD_NAME arange count zip sort min Boxes Instances nonempty enumerate image_sizes device append tensor batched_nms full clip cat len smooth_l1_loss to float32 binary_cross_entropy_with_logits arange count zip sort min RotatedBoxes Instances nonempty batched_nms_rotated enumerate image_sizes device append tensor full clip cat len NAME view reshape Boxes Instances nonzero batched_nms clip NAME put_scalar cross_entropy get_event_storage view gt_keypoints squeeze numel shape cat append tensor to to_heatmap len detach heatmaps_to_keypoints zip cat split put_scalar arange get_event_storage size numel binary_cross_entropy_with_logits item append to max cat arange sigmoid zip cat split NAME max min area clamp NAME append squeeze gt_classes put_scalar get_event_storage squeeze numel mean unsqueeze any append tensor view reshape RotatedBoxes Instances batched_nms_rotated nonzero clip int reshape fillPoly gt_classes polygons stack nonzero cuda append zeros sum array Tensor len Segmentation_LossComputation WEIGHT_DECAY_NORM endswith WEIGHT_DECAY_BIAS SGD named_parameters BASE_LR BIAS_LR_FACTOR WEIGHT_DECAY LR_SCHEDULER_NAME clamp min area where zeros max max min area clamp long argmax arange view exp_ clamp squeeze new_zeros ceil float sum max range frPyObjects merge from_numpy deepcopy max polygons_to_bitmask get str list defaultdict items join format check_output get_env_module strip is_available device_count append tabulate range randint len barrier get_world_size format getLogger from_buffer dumps get_rank warning get_backend device to len get_world_size all_gather tensor max zeros cat _serialize_to_tensor _get_global_gloo_group loads zip append max _pad_to_largest_tensor max zip _get_global_gloo_group loads get_rank append _serialize_to_tensor _pad_to_largest_tensor randint all_gather get_world_size seed int set_rng_state format from_bytes get_state getLogger strftime getpid info urandom spec_from_file_location exec_module module_from_spec get int setUseOpenCL get setup_custom_environment _configure_libraries endswith setup_environment _import_file import_module setFormatter join format _cached_log_stream getLogger addHandler StreamHandler Formatter mkdirs _ColorfulFormatter dirname colored DEBUG setLevel f_back _getframe f_code _find_caller log isinstance _find_caller log tuple tabulate zip getattr replace add_transform add_config_value connect items list add_parser ArgumentParser set_defaults add_subparsers create_argument_parser setup_logger func setLevel parse_args verbosity_to_level get format timer info merge_from_file config_file add_densepose_config get_cfg setup_logger merge_from_list default_setup opts freeze verify_results setup resume_or_load build_model test WEIGHTS Trainer eval_only is_main_process CN kaiming_normal_ constant_ named_parameters NAME DensePosePredictor DensePoseDataFilter DensePoseOutput len clamp float min unbind _linear_interpolation_utilities unbind arange grid_sample size expand stack u gt_densepose hasattr y view list clone i unsqueeze full_like zip append v tensor range x len _extract_single_tensors_from_matches_one_image size len extend long cat enumerate DensePoseLosses append tolist range len getLogger DensePoseCocoEval warn create_small_table info device numpy clip numpy clip N_PART_LABELS numpy clip has clone has error isinstance getLogger add_tridentnet_config CN append block_class range convert_frozen_batchnorm STEM_OUT_CHANNELS BRANCH_DILATIONS WIDTH_PER_GROUP max TRIDENT_STAGE DEFORM_NUM_GROUPS FREEZE_AT RES2_OUT_CHANNELS append freeze range OUT_FEATURES DEPTH RES5_DILATION DEFORM_ON_PER_STAGE BasicStem enumerate pop NORM STRIDE_IN_1X1 TEST_BRANCH_IDX parameters DEFORM_MODULATED NUM_BRANCH NUM_GROUPS scores pred_classes append tensor batched_nms range cat len sum arange grid_sample from_numpy shape meshgrid to append randn clamp rand Boxes benchmark manual_seed is_available cat is_available stack benchmark append format setup info IMS_PER_BATCH build_detection_train_loader total available iter Timer seconds trange next range virtual_memory load list format setup build_model build_optimizer islice f WEIGHTS build_detection_train_loader DetectionCheckpointer DistributedDataParallel defrost register_hooks info SimpleTrainer train load Timer list format setup build_model model islice build_detection_test_loader WEIGHTS eval defrost info seconds range evaluator_type join COCOPanopticEvaluator COCOEvaluator SemSegEvaluator append OUTPUT_DIR join format print_csv_format get_evaluator inference_on_dataset build_detection_test_loader OrderedDict info OUTPUT_DIR TEST is_main_process enumerate get PeriodicCheckpointer build_lr_scheduler CHECKPOINT_PERIOD format MAX_ITER build_optimizer build_detection_train_loader DetectionCheckpointer info train OUTPUT_DIR format DistributedDataParallel do_train info update test_with_TTA ENABLED register_hooks add_argument ArgumentParser show join format print waitKey imshow save asarray XYWH_ABS convert Boxes Instances XYXY_ABS | ying09/TextFuseNet | 4,205 |
yingDaWang-UNSW/SegNets-3D | ['semantic segmentation'] | ['Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images'] | glcmLosses.py cyclegan.py ops.py tifffile.py module.py utils.py main.py cyclegan computeGLCM compute8WayGLCM testFunction str2float main str2bool str2int discriminatorSR tot_var_criterion abs_criterion mse_criterion uResNetp2p uResNetp2p3D edsrYDW generator_unet sce_criterion discriminator psnr_metric segNetYDW3 segNetYDW3D generator_resnet generator_unetYDW segNetYDW segNetYDW2 generator_resnetYDW segNetYDW4 seg_criterion lrelu apply_bicubic_downsample prelu denselayer batchnormSR batch_norm linear conv3d build_filter conv2d deconv2d instance_norm deconv3d preluLayer bicubic_kernel pformat_xml reshape_nd read_mm_stamp print_ tile_decode repeat_nd NullContext create_output scanimage_description_metadata stripascii _app_show FileNotFoundError decode_lzw julian_datetime byteorder_isnative asbool excel_datetime read_tvips_header read_sis_ini format_size read_exif_ifd read_sis read_cz_sem memmap delta_encode TIFF update_kwargs read_metaseries_catalog svs_description_metadata recarray2dict imagej_metadata stripnull TiffPage read_lsm_scaninfo read_json scanimage_artist_metadata imagej_description nullfunc buffered_read read_lsm_positions TiffPages read_lsm_channelcolors fluoview_description_metadata imshow str2bytes squeeze_axes imagej_description_metadata packints_decode read_interoperability_ifd stk_description_metadata read_colormap json_description clean_offsets_counts isprintable parse_kwargs hexdump TiffFrame sequence read_mm_header askopenfilename apply_colormap read_fei_metadata imwrite metaseries_description_metadata delta_decode TiffSequence iogetbuffer read_gps_ifd read_uic2tag read_nih_image_header stack_pages read_scanimage_metadata read_lsm_timestamps snipstr clean_whitespace unpack_rgb OpenFileCache xml2dict TiffFile pilatus_description_metadata imread product astype reshape_axes read_numpy read_utf8 enumarg transpose_axes main bitorder_decode read_lsm_eventlist TiffPageSeries read_micromanager_metadata olympusini_metadata TiffTag read_lsm_floatpairs read_uic3tag read_uic1tag TiffFileError LazyConst read_uic_tag validate_jhove read_bytes matlabstr2py lsm2bin imagej_shape natural_sorted read_uic4tag read_tags json_description_metadata identityfunc pformat lazyattr FileHandle bytes2str reorient imagej_metadata_tag byte2int read_uic_image_property read_cz_lsminfo TiffWriter load_test_data loadp2pTrainData loadDataset2Ram load_train_data load_test_image summarise_model load_c2train_data loadSrganTrainData loadSemSegTrainData concat astype computeGLCM linspace expand_dims range segment_sum reshape sort concat float32 reduce_prod shape cast round int32 linspace zeros expand_dims abs abs Session run show subplot squeeze compute8WayGLCM placeholder colorbar shape imshow initialize_all_variables expand_dims range normal astype ConfigProto print reshape reduce_mean array int float checkpoint_dir sample_dir test_dir ConfigProto GPUOptions makedirs resSkip Uskip resSkip Uskip resSkip Uskip resSkip Uskip constant one_hot reshape shape softmax array len preluLayer sum T constant outer floor zeros bicubic_kernel range pad max depthwise_conv2d parse_kwargs pop warning glob pop dtype itemsize nbytes byteorder product parse_kwargs update imwrite get str read bytes2str seek tell calcsize strip readfunc read_numpy read_bytes unpack warning append range EXIF_TAGS bytes2str read_tags decode read warning len read_array read recarray2dict read_record MM_HEADER reshape read range read_uic_tag reshape reshape read_uic_tag bytes2str read seek tell calcsize read_uic_image_property unpack warning julian_datetime read_int stripnull range append read unpack get items read list seek reader CZ_LSMINFO read_record recarray2dict unpack append read unpack warning bytes2str read stripnull unpack append bytes2str read seek tell reshape tolist unpack warning append bool bytes2str pop read unpack warning stripnull append bytes2str read seek pow unpack stripnull range datetime bytes2str read stripnull decode read_record tolist TVIPS_HEADER_V1 warning TVIPS_HEADER_V2 startswith stripnull bytes2str read strip astype splitlines startswith stripnull split bytes2str read strip astype isupper lower splitlines stripnull split newbyteorder read_record NIH_IMAGE_HEADER recarray2dict bytes2str read seek unpack matlabstr2py read read_json seek unpack pack join lower func append len update get dict unpack func zip append range dtype strip splitlines split items imagej_shape list product append bool tuple len update tuple join strip astype extend splitlines append array split join replace isinstance strptime tuple split rsplit strip astype split bytes2str strip astype append split fromstring replace parse keyindex pack get join tuple strip astype upper splitlines zip append array split decompress bitorder_decode shape unpack unpredict dtype sum int itemsize byteorder char astype empty frombuffer next enumerate dtype itemsize view isinstance insert ndim frombuffer diff itemsize view isinstance cumsum frombuffer append frombuffer take view reshape frombuffer unpackbits warn ascontiguousarray take rollaxis ndim enumarg ORIENTATION asarray extend strides shape zip append isinstance len list zip shape transpose reshape reversed product tuple append max len clear dtype asarray create_output cpu_count OpenFileCache shape keyframe func is_tiled enumerate len list len warning zip enumerate len str ndarray Path isinstance parse strip any splitlines split find len lower compile fromordinal divmod trunc bytes2str tolist descr zip stripnull int join decode min floor sub append hexlify range len isalnum strip replace bytes2str parse BytesIO tostring encode bytes2str pformat_xml list isprintable rstrip join isinstance record clean_whitespace set_printoptions pprint splitlines get_printoptions int isinstance splitlines floor append len items list items list decode check_output strip splitlines startswith time verbose reshape_nd on_changed max log subplot str itemsize atleast_2d list squeeze colorbar title ceil mpl_connect astype swapaxes enumerate int isinstance rc min ndim absolute subplots_adjust set_facecolor figure show update Tk withdraw destroy __str__ print_ setLevel opt add_option argv doctest use testmod TiffFile append parse_args OptionParser glob close INFO enumerate join time print error askopenfilename any is_ome pop print flush items list File convert expand_dims array open load array resize load int concatenate uniform resize ceil array load int uniform ceil load randint fine_size zip zeros load randint fine_size zip zeros expand_dims load nDims transpose randint fine_size zip zeros expand_dims write astype vstack fine_size zip append expand_dims max flush split print get_shape name | yingDaWang-UNSW/SegNets-3D | 4,206 |
yinghdb/EmbedMask | ['instance segmentation', 'semantic segmentation'] | ['EmbedMask: Embedding Coupling for One-stage Instance Segmentation'] | fcos_core/modeling/rpn/anchor_generator.py fcos_core/structures/bounding_box.py fcos_core/modeling/rpn/embed_mask/inference.py fcos_core/data/datasets/evaluation/__init__.py fcos_core/data/datasets/list_dataset.py fcos_core/layers/__init__.py fcos_core/structures/boxlist_ops.py fcos_core/utils/comm.py fcos_core/modeling/roi_heads/mask_head/inference.py demo/webcam.py fcos_core/utils/env.py fcos_core/utils/metric_logger.py tests/test_feature_extractors.py fcos_core/modeling/detector/generalized_rcnn.py tests/test_detectors.py tests/test_box_coder.py tests/test_rpn_heads.py fcos_core/structures/image_list.py fcos/fcos.py fcos_core/modeling/roi_heads/box_head/box_head.py fcos_core/modeling/roi_heads/box_head/inference.py fcos_core/engine/inference.py tests/checkpoint.py fcos_core/layers/iou_loss.py fcos_core/utils/model_serialization.py setup.py fcos_core/modeling/utils.py fcos_core/modeling/matcher.py fcos_core/modeling/roi_heads/box_head/roi_box_predictors.py fcos_core/modeling/roi_heads/keypoint_head/roi_keypoint_feature_extractors.py fcos_core/solver/lr_scheduler.py fcos_core/modeling/backbone/mobilenet.py docker/docker-jupyter/jupyter_notebook_config.py fcos_core/utils/timer.py fcos_core/modeling/roi_heads/roi_heads.py fcos_core/modeling/backbone/resnet.py fcos_core/modeling/rpn/utils.py fcos_core/layers/mask_prob.py fcos_core/utils/c2_model_loading.py demo/fcos_demo.py fcos_core/modeling/roi_heads/box_head/loss.py fcos_core/layers/scale.py fcos_core/modeling/backbone/fbnet.py fcos_core/modeling/detector/__init__.py fcos_core/layers/batch_norm.py fcos_core/data/__init__.py fcos_core/config/defaults.py fcos_core/data/datasets/evaluation/voc/voc_eval.py fcos_core/data/datasets/voc.py fcos_core/modeling/rpn/inference.py tests/test_backbones.py fcos_core/modeling/roi_heads/mask_head/loss.py tools/train_net.py fcos_core/modeling/rpn/embed_mask/loss.py fcos_core/utils/collect_env.py fcos/__init__.py fcos_core/layers/dcn/deform_pool_module.py fcos_core/data/build.py fcos_core/data/transforms/build.py fcos_core/utils/checkpoint.py tests/test_metric_logger.py fcos_core/data/collate_batch.py fcos_core/modeling/roi_heads/keypoint_head/roi_keypoint_predictors.py tests/test_predictors.py fcos_core/layers/roi_align.py fcos_core/modeling/box_coder.py fcos_core/modeling/rpn/retinanet/inference.py tests/test_segmentation_mask.py fcos_core/data/datasets/evaluation/coco/__init__.py fcos_core/modeling/rpn/fcos/inference.py fcos_core/modeling/detector/detectors.py fcos_core/data/samplers/distributed.py fcos_core/layers/lovasz_hinge_loss.py fcos_core/utils/registry.py fcos_core/config/paths_catalog.py demo/embed_mask_demo.py fcos_core/modeling/rpn/rpn.py fcos_core/__init__.py fcos_core/data/transforms/transforms.py fcos_core/modeling/roi_heads/keypoint_head/loss.py fcos_core/structures/keypoint.py fcos_core/data/datasets/evaluation/voc/__init__.py fcos_core/modeling/rpn/retinanet/loss.py fcos_core/layers/dcn/deform_pool_func.py fcos_core/engine/__init__.py tools/remove_solver_states.py fcos_core/modeling/rpn/retinanet/retinanet.py fcos_core/config/__init__.py tools/cityscapes/instances2dict_with_polygons.py fcos_core/layers/roi_pool.py tools/evalDemo.py fcos_core/utils/model_zoo.py fcos_core/layers/dcn/deform_conv_func.py fcos_core/modeling/registry.py fcos_core/modeling/backbone/fbnet_modeldef.py tests/env_tests/env.py demo/predictor.py tests/test_fbnet.py tools/test_net.py fcos_core/layers/nms.py fcos_core/modeling/backbone/backbone.py fcos_core/modeling/rpn/__init__.py tests/test_nms.py fcos_core/solver/__init__.py tests/utils.py fcos_core/modeling/rpn/loss.py fcos_core/modeling/rpn/fcos/loss.py tools/cityscapes/convert_cityscapes_to_coco.py fcos_core/modeling/backbone/fpn.py tests/test_data_samplers.py fcos_core/modeling/roi_heads/box_head/roi_box_feature_extractors.py fcos_core/data/datasets/coco.py fcos_core/data/samplers/__init__.py fcos_core/layers/smooth_l1_loss.py fcos_core/utils/cv2_util.py fcos_core/engine/bbox_aug.py fcos_core/structures/segmentation_mask.py fcos_core/layers/sigmoid_focal_loss.py fcos_core/layers/dcn/deform_conv_module.py fcos_core/layers/misc.py fcos_core/modeling/roi_heads/keypoint_head/keypoint_head.py fcos_core/utils/logger.py fcos_core/modeling/make_layers.py fcos_core/data/datasets/evaluation/coco/coco_eval.py fcos_core/modeling/poolers.py fcos_core/data/datasets/concat_dataset.py fcos_core/engine/trainer.py fcos_core/layers/_utils.py tests/test_configs.py fcos_core/data/transforms/__init__.py fcos_core/solver/build.py fcos_core/modeling/backbone/fbnet_builder.py fcos_core/utils/imports.py fcos_core/modeling/roi_heads/keypoint_head/inference.py fcos_core/modeling/balanced_positive_negative_sampler.py fcos_core/utils/miscellaneous.py fcos_core/layers/interpolate.py fcos_core/modeling/roi_heads/mask_head/roi_mask_feature_extractors.py fcos_core/data/samplers/iteration_based_batch_sampler.py fcos_core/layers/dcn/__init__.py fcos_core/modeling/rpn/embed_mask/embed_mask.py fcos_core/modeling/backbone/__init__.py fcos_core/modeling/roi_heads/mask_head/roi_mask_predictors.py fcos_core/modeling/rpn/fcos/fcos.py fcos_core/modeling/roi_heads/mask_head/mask_head.py fcos_core/data/datasets/__init__.py fcos_core/data/samplers/grouped_batch_sampler.py get_extensions main main vis_keypoints COCODemo main FCOS DatasetCatalog ModelCatalog make_data_sampler _quantize make_data_loader make_batch_data_sampler build_dataset _compute_aspect_ratios BatchCollator BBoxAugCollator COCODataset _has_only_empty_bbox has_valid_annotation _count_visible_keypoints ConcatDataset ListDataset PascalVOCDataset evaluate COCOResults check_expected_results prepare_for_coco_segmentation evaluate_predictions_on_coco evaluate_box_proposals do_coco_evaluation compute_thresholds_for_classes prepare_for_coco_keypoint prepare_for_coco_detection coco_evaluation calc_detection_voc_ap do_voc_evaluation calc_detection_voc_prec_rec eval_detection_voc voc_evaluation DistributedSampler GroupedBatchSampler IterationBasedBatchSampler build_transforms Compose ToTensor Resize Normalize RandomHorizontalFlip im_detect_bbox_aug im_detect_bbox_scale im_detect_bbox_hflip im_detect_bbox compute_on_dataset inference _accumulate_predictions_from_multiple_gpus do_train reduce_loss_dict FrozenBatchNorm2d InterpolateModule IOULoss lovasz_grad LovaszHinge _NewEmptyTensorOp Conv2d DFConv2d interpolate BatchNorm2d ConvTranspose2d ROIAlign _ROIAlign _ROIPool ROIPool Scale SigmoidFocalLoss _SigmoidFocalLoss sigmoid_focal_loss_cpu smooth_l1_loss _load_C_extensions DeformConvFunction ModulatedDeformConvFunction ModulatedDeformConv DeformConv ModulatedDeformConvPack DeformRoIPoolingFunction DeformRoIPoolingPack ModulatedDeformRoIPoolingPack DeformRoIPooling BalancedPositiveNegativeSampler BoxCoder conv_with_kaiming_uniform make_conv3x3 get_group_gn make_fc group_norm Matcher make_pooler LevelMapper Pooler cat build_resnet_fpn_backbone build_resnet_backbone build_resnet_fpn_p3p7_backbone build_backbone build_mnv2_fpn_backbone add_rpn_head add_roi_head_mask FBNetROIHead _get_rpn_stage FBNetRPNHead FBNetTrunk add_roi_head _get_head_stage _get_trunk_cfg create_builder add_conv_body add_roi_head_keypoints _get_divisible_by ConvBNRelu _expand_block_cfg FBNetBuilder CascadeConv3x3 get_blocks SEModule _add_to_arch IRFBlock Shift expand_stages_cfg expand_stage_cfg ShiftBlock5x5 _py2_round get_num_stages unify_arch_def _get_upsample_op Upsample Identity _block_cfgs_to_list ChannelShuffle add_archs LastLevelMaxPool FPN LastLevelP6P7 conv_1x1_bn InvertedResidual conv_bn MobileNetV2 StemWithGN ResNetHead _make_stage ResNet BottleneckWithGN Bottleneck StemWithFixedBatchNorm BottleneckWithFixedBatchNorm BaseStem build_detection_model GeneralizedRCNN CombinedROIHeads build_roi_heads build_roi_box_head ROIBoxHead PostProcessor make_roi_box_post_processor make_roi_box_loss_evaluator FastRCNNLossComputation make_roi_box_feature_extractor FPNXconv1fcFeatureExtractor FPN2MLPFeatureExtractor ResNet50Conv5ROIFeatureExtractor FPNPredictor make_roi_box_predictor FastRCNNPredictor heatmaps_to_keypoints Keypointer make_roi_keypoint_post_processor KeypointPostProcessor ROIKeypointHead build_roi_keypoint_head make_roi_keypoint_loss_evaluator project_keypoints_to_heatmap KeypointRCNNLossComputation _within_box cat_boxlist_with_keypoints KeypointRCNNFeatureExtractor make_roi_keypoint_feature_extractor KeypointRCNNPredictor make_roi_keypoint_predictor paste_mask_in_image expand_boxes Masker make_roi_mask_post_processor MaskPostProcessorCOCOFormat expand_masks MaskPostProcessor make_roi_mask_loss_evaluator MaskRCNNLossComputation project_masks_on_boxes keep_only_positive_boxes ROIMaskHead build_roi_mask_head MaskRCNNFPNFeatureExtractor make_roi_mask_feature_extractor MaskRCNNC4Predictor MaskRCNNConv1x1Predictor make_roi_mask_predictor AnchorGenerator generate_anchors _scale_enum _whctrs make_anchor_generator _ratio_enum make_anchor_generator_retinanet _generate_anchors BufferList _mkanchors make_rpn_postprocessor RPNPostProcessor RPNLossComputation generate_rpn_labels make_rpn_loss_evaluator build_rpn RPNHeadFeatureSingleConv RPNModule RPNHead RPNHeadConvRegressor concat_box_prediction_layers permute_and_flatten EmbedMaskModule EmbedMaskHead build_embed_mask EmbedMaskPostProcessor make_embed_mask_postprocessor EmbedMaskLossComputation make_embed_mask_loss_evaluator reduce_sum get_num_gpus FCOSHead FCOSModule build_fcos FCOSPostProcessor make_fcos_postprocessor make_fcos_loss_evaluator FCOSLossComputation reduce_sum get_num_gpus make_retinanet_postprocessor RetinaNetPostProcessor make_retinanet_loss_evaluator generate_retinanet_labels RetinaNetLossComputation build_retinanet RetinaNetHead RetinaNetModule make_optimizer make_lr_scheduler WarmupMultiStepLR BoxList boxlist_partly_overlap cat_boxlist boxes_to_masks boxlist_iou boxlist_nms boxlist_ml_nms remove_small_boxes _cat crop_by_box boxlist_overlap ImageList to_image_list PersonKeypoints kp_connections _create_flip_indices Keypoints keypoints_to_heat_map SegmentationMask PolygonList PolygonInstance BinaryMaskList _rename_basic_resnet_weights _rename_conv_weights_for_deformable_conv_layers load_resnet_c2_format load_c2_format _rename_weights_for_resnet _load_c2_pickled_weights _rename_fpn_weights DetectronCheckpointer Checkpointer collect_env_info get_pil_version synchronize is_pytorch_1_1_0_or_later get_world_size reduce_dict all_gather get_rank is_main_process findContours setup_environment setup_custom_environment import_file setup_logger SmoothedValue MetricLogger mkdir strip_prefix_if_present load_state_dict align_and_update_state_dicts cache_url _register_generic Registry get_time_str Timer TestCheckpointer TestBackbones TestBoxCoder TestConfigs SubsetSampler TestGroupedBatchSampler TestIterationBasedBatchSampler create_random_input create_model get_config_files _test_build_detectors _test_run_selected_detectors TestDetectors _test_primitive TestFBNetBuilder TestFeatureExtractors _test_feature_extractors TestMetricLogger TestNMS TestPredictors _test_predictors TestRPNHeads TestSegmentationMask load_config_from_file load_config get_config_root_path get_config_root_path main main main train run_test convert_coco_stuff_mat xyxy_to_xywh convert_cityscapes_instance_only poly_to_box parse_args getLabelID instances2dict_with_polygons main glob join run_on_opencv_image imwrite ArgumentParser opts freeze parse_args imread images_dir merge_from_file format config_file merge_from_list listdir join time print add_argument weights COCODemo out_dir destroyAllWindows waitKey imshow minimum line NAMES tuple CONNECTIONS copy index get_cmap range circle len VideoCapture read get ConcatDataset getattr append factory SequentialSampler RandomSampler list sorted copy get_img_info append float range len BatchSampler IterationBasedBatchSampler GroupedBatchSampler _quantize _compute_aspect_ratios format import_file make_data_sampler getLogger IMS_PER_BATCH PATHS_CATALOG MAX_ITER get_world_size NUM_WORKERS DataLoader warning append make_batch_data_sampler build_dataset DatasetCatalog _has_only_empty_bbox PascalVOCDataset isinstance COCODataset dict __name__ items list format join COCOResults check_expected_results getLogger prepare_for_coco_segmentation prepare_for_coco_keypoint item info save evaluate_box_proposals prepare_for_coco_detection get_img_info convert tolist extend resize enumerate get_img_info decode Masker cpu size tolist extend masker expand gt tqdm cuda resize get_field long enumerate convert tolist extend resize get_field enumerate arange zeros_like resize max boxlist_iou append loadAnns sum range cat getAnnIds mean float enumerate get_img_info reshape sort convert min zeros as_tensor len evaluate COCOeval summarize accumulate compute_thresholds_for_classes list print maximum linspace argmax max error format info getLogger get_img_info format info get_groundtruth eval_detection_voc resize append enumerate calc_detection_voc_ap calc_detection_voc_prec_rec list defaultdict cumsum astype extend copy keys numpy array unique zip append zeros argmax max arange concatenate empty nan sum max range len warning info getLogger list TO_BGR255 MIN_SIZE_TEST Compose MIN_SIZE_TRAIN Normalize MAX_SIZE_TRAIN MAX_SIZE_TEST range add_preds_t MIN_SIZE_TEST SCALE_H_FLIP MAX_SIZE_TEST len im_detect_bbox_scale append range cat add_field MAX_SIZE size im_detect_bbox_hflip im_detect_bbox select_over_all_levels enumerate H_FLIP make_fcos_postprocessor BoxList SCALES mode SIZE_DIVISIBILITY Compose to_image_list model Compose to_image_list SIZE_DIVISIBILITY to im_detect_bbox im_detect_bbox_hflip update tqdm eval device enumerate update list sorted getLogger warning all_gather keys getLogger Timer device tensor dataset get_time_str _accumulate_predictions_from_multiple_gpus tic range format add_field synchronize total_time get_world_size info toc evaluate print dict compute_on_dataset len get_world_size getLogger model zero_grad save str MetricLogger to sum update format is_pytorch_1_1_0_or_later timedelta info reduce_loss_dict enumerate time backward global_avg train step len cumsum sum len _output_size tuple dtype sigmoid unsqueeze device log abs where join glob extend dirname abspath EPSILON DIM_PER_GP NUM_GROUPS group_norm Conv2d bias normal_ kaiming_normal_ ReLU append weight constant_ kaiming_uniform_ bias weight constant_ Linear POOLER_RESOLUTION POOLER_SCALES POOLER_SAMPLING_RATIO Pooler OrderedDict ResNet Sequential BACKBONE_OUT_CHANNELS FPN ResNet Sequential OrderedDict RES2_OUT_CHANNELS BACKBONE_OUT_CHANNELS FPN ResNet Sequential OrderedDict RES2_OUT_CHANNELS BACKBONE_OUT_CHANNELS return_features_num_channels FPN Sequential OrderedDict BACKBONE_OUT_CHANNELS MobileNetV2 get format FBNetBuilder SCALE_FACTOR WIDTH_DIVISOR DW_CONV_SKIP_BN unify_arch_def DW_CONV_SKIP_RELU loads ARCH_DEF BN_TYPE info ARCH get_num_stages get list get_blocks range FBNetTrunk Sequential OrderedDict create_builder last_depth get list format warn get_blocks range len create_builder FBNetRPNHead RPNHeadConvRegressor out_channels get get_blocks create_builder create_builder create_builder int Upsample append deepcopy range append expand_stage_cfg append expand_stage_cfg enumerate enumerate update deepcopy _block_cfgs_to_list _add_to_arch max append deepcopy append transformation_module range append MASK_ON KEYPOINT_ON CombinedROIHeads CLS_AGNOSTIC_BBOX_REG BoxCoder DETECTIONS_PER_IMG ENABLED PostProcessor BBOX_REG_WEIGHTS USE_FPN NMS SCORE_THRESH POSITIVE_FRACTION FG_IOU_THRESHOLD CLS_AGNOSTIC_BBOX_REG BATCH_SIZE_PER_IMAGE BoxCoder BalancedPositiveNegativeSampler BBOX_REG_WEIGHTS BG_IOU_THRESHOLD Matcher FastRCNNLossComputation int transpose maximum resize ceil zeros argmax range len Keypointer KeypointPostProcessor convert cat_boxlist add_field get_fields cat POSITIVE_FRACTION FG_IOU_THRESHOLD BATCH_SIZE_PER_IMAGE BalancedPositiveNegativeSampler KeypointRCNNLossComputation BG_IOU_THRESHOLD Matcher RESOLUTION zeros_like float new_zeros int uint8 expand_masks min float32 expand interpolate zeros to max POSTPROCESS_MASKS POSTPROCESS_MASKS_THRESHOLD Masker MaskPostProcessor zip convert device resize append to crop get_mask_tensor FG_IOU_THRESHOLD MaskRCNNLossComputation BG_IOU_THRESHOLD Matcher RESOLUTION get_field squeeze append AnchorGenerator STRADDLE_THRESH ANCHOR_SIZES ANCHOR_STRIDE USE_FPN ASPECT_RATIOS AnchorGenerator STRADDLE_THRESH OCTAVE ANCHOR_SIZES tuple SCALES_PER_OCTAVE append float ASPECT_RATIOS ANCHOR_STRIDES range vstack _ratio_enum array hstack sqrt _whctrs round _mkanchors _whctrs _mkanchors NMS_THRESH FPN_POST_NMS_TOP_N_TRAIN POST_NMS_TOP_N_TRAIN RPNPostProcessor POST_NMS_TOP_N_TEST MIN_SIZE PRE_NMS_TOP_N_TRAIN FPN_POST_NMS_TOP_N_TEST PRE_NMS_TOP_N_TEST get_field POSITIVE_FRACTION FG_IOU_THRESHOLD RPNLossComputation BATCH_SIZE_PER_IMAGE BalancedPositiveNegativeSampler BG_IOU_THRESHOLD Matcher RETINANET_ON FCOS_ON EMBED_MASK_ON reshape permute view permute_and_flatten reshape shape zip append NMS_TH DETECTIONS_PER_IMG EmbedMaskPostProcessor INFERENCE_TH PRE_NMS_TOP_N all_reduce clone EmbedMaskLossComputation NMS_TH DETECTIONS_PER_IMG ENABLED FCOSPostProcessor INFERENCE_TH PRE_NMS_TOP_N FCOSLossComputation NMS_TH DETECTIONS_PER_IMG INFERENCE_TH PRE_NMS_TOP_N RetinaNetPostProcessor get_field FG_IOU_THRESHOLD RetinaNetLossComputation SigmoidFocalLoss LOSS_GAMMA BG_IOU_THRESHOLD Matcher LOSS_ALPHA format getLogger WEIGHT_DECAY_BIAS SGD named_parameters BASE_LR DCONV_OFFSETS_LR_FACTOR info BIAS_LR_FACTOR WEIGHT_DECAY convert _box_nms get_field bbox mode convert _box_ml_nms get_field float bbox mode squeeze unbind bbox clamp min area max len clamp min area max len clamp min area max len add_field size set BoxList _cat fields mode clamp expand clamp size expand int list isinstance tuple copy_ zero_ zip ceil Tensor update copy long enumerate max _rename_basic_resnet_weights sorted format getLogger OrderedDict from_numpy info keys _rename_fpn_weights sorted format replace getLogger match STAGE_WITH_DCN info keys enumerate CONV_BODY _rename_conv_weights_for_deformable_conv_layers replace _rename_weights_for_resnet _load_c2_pickled_weights get_pretty_env_info barrier get_world_size from_buffer dumps get_world_size loads zip append to max cat get_world_size startswith get setup_custom_environment setup_environment import_file spec_from_file_location exec_module module_from_spec setFormatter join getLogger addHandler StreamHandler Formatter DEBUG setLevel FileHandler makedirs max list sorted format view getLogger tuple tolist shape info keys enumerate len items sorted list OrderedDict keys strip_prefix_if_present align_and_update_state_dicts state_dict join basename format replace synchronize write search group getenv path _download_url_to_file fragment expanduser urlparse makedirs str timedelta glob join get_config_root_path deepcopy to freeze build_detection_model int SIZE_DIVISIBILITY rand MIN_SIZE_TRAIN to_image_list append to assertGreater get_config_files len assertGreater len format Size assertEqual op shape to get deepcopy list assertGreater format items print fe assertEqual rand Size BoxList getattr builder assertIsNotNone load_config len get deepcopy list assertGreater format items print fe rand builder load_config len join get_config_root_path merge_from_file deepcopy realpath join dirname abspath load model splitext save make_data_loader OUTPUT_DIR collect_env_info set_device MASK_ON get_rank to inference KEYPOINT_ON TEST DEVICE build_detection_model init_process_group synchronize setup_logger WEIGHT mkdir info zip enumerate DetectronCheckpointer local_rank len DEVICE USE_SYNCBN make_optimizer load build_detection_model update CHECKPOINT_PERIOD make_data_loader WEIGHT convert_sync_batchnorm DistributedDataParallel DetectronCheckpointer do_train device to OUTPUT_DIR make_lr_scheduler join zip TEST synchronize MASK_ON inference mkdir make_data_loader empty_cache OUTPUT_DIR module KEYPOINT_ON enumerate len distributed run_test train add_argument exit ArgumentParser print_help min max print join len load join zip print endswith len xyxy_to_xywh poly_to_box append walk open hasInstances uint8 format toDict print Instance findContours len astype RETR_EXTERNAL copy unique abspath append CHAIN_APPROX_NONE array flush open append instances2dict_with_polygons | yinghdb/EmbedMask | 4,207 |
yinglunz/ROAI_ICML2020 | ['outlier detection'] | ['Robust Outlier Arm Identification'] | ROAI.py OAI_comparison.py ROAI_class.py termination_count.py real_data.py find_threshold find_good_instance averaged_single_calc multi_calc_outlier_start multi_calc single_calc generate_instance_bernoulli single_calc_ROAI single_run_RR find_threshold multi_sim single_run_ROAI_elimi single_run_WRR single_sim for_multi_sim single_run_ROAI_lucb single_run_random find_threshold single_run_RR multi_sim single_run_ROAI_elimi find_good_instance single_run_WRR single_sim for_multi_sim single_run_ROAI_lucb generate_instance_bernoulli single_run_random RANDOM get_reward ROAI RR WRR find_threshold multi_sim generate_instance single_sim for_multi_sim single_calc_ROAI seed normal print hstack uniform range int abs argsort mean zeros sum std range len find_threshold int list abs ones min set argsort difference zeros sum max range len seed find_threshold sum find_good_instance min pi choice sqrt generate_instance_bernoulli single_calc_ROAI abs max log append len deepcopy list format partial std median_absolute_deviation ones print map dict mean zip append median Pool range len int time format print write today open floor averaged_single_calc array range append len time format print write today open averaged_single_calc array range append len update compute_error RR append initialization compute_error index_pull update_regular WRR append initialization update_additional update RANDOM compute_error append initialization compute_error update_elimi ROAI initialization_elimi append compute_error ROAI update_lucb append initialization_lucb seed single_run_RR single_run_ROAI_elimi print single_run_WRR single_run_ROAI_lucb append single_run_random grid abs Pool open show find_threshold list ones map ylabel ylim array savefig legend append range update format partial errorbar close reversed today mean sqrt zip xlim deepcopy time print xlabel min write dict figure std len multi_sim hstack len append range len find_threshold find_good_instance min generate_instance_bernoulli abs find_good_instance generate_instance_bernoulli print hstack linspace format print update RANDOM format s_active_len initialization update_elimi t ROAI initialization_elimi update_lucb initialization_lucb len seed generate_instance arange single_calc_ROAI seed time list format write today dict open zip append array range | yinglunz/ROAI_ICML2020 | 4,208 |
yinkalario/EIN-SELD | ['sound event localization and detection'] | ['A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection'] | seld/methods/feature.py seld/learning/preprocess.py seld/utils/config.py seld/methods/data_augmentation/__init__.py seld/methods/utils/SELD_evaluation_metrics_2020.py seld/methods/training.py seld/methods/ein_seld/data_augmentation/__init__.py seld/methods/data.py seld/utils/datasets.py seld/learning/evaluate.py seld/methods/inference.py seld/methods/ein_seld/models/__init__.py seld/utils/common.py seld/methods/ein_seld/data.py seld/methods/utils/loss_utilities.py seld/methods/ein_seld/metrics.py seld/methods/ein_seld/__init__.py seld/learning/train.py seld/methods/utils/stft.py seld/utils/cli_parser.py seld/methods/ein_seld/losses.py seld/learning/checkpoint.py seld/methods/utils/data_utilities.py seld/methods/ein_seld/inference.py seld/methods/ein_seld/training.py seld/main.py seld/methods/ein_seld/models/seld.py seld/learning/initialize.py seld/methods/utils/model_utilities.py seld/learning/infer.py seld/methods/utils/SELD_evaluation_metrics_2019.py main CheckpointIO evaluate infer init_infer init_train Preprocessor train BaseDataset collate_fn UserBatchSampler PinMemCustomBatch LogmelIntensity_Extractor BaseInferer BaseTrainer PinMemCustomBatchTest UserBatchSampler collate_fn PinMemCustomBatch collate_fn_test UserDataset Inferer Losses Metrics to_metrics2019_format to_dcase_format Trainer EINV2 load_dcase_format to_metrics2020_format _segment_index BCEWithLogitsLoss MSELoss DoubleConv PositionalEncoding init_layer er_overall_framewise distance_between_gt_pred compute_doa_scores_clas reshape_3Dto2D distance_between_spherical_coordinates_rad f1_overall_framewise compute_doa_scores_regr_xyz cart2sph SELDMetrics distance_between_cartesian_coordinates f1_overall_1sec compute_sed_scores early_stopping_metric er_overall_1sec sph2cart distance_between_gt_pred_xyz compute_doa_scores_regr least_distance_between_gt_pred distance_between_spherical_coordinates_rad SELDMetrics early_stopping_metric distance_between_cartesian_coordinates spectrogram_STFTInput Scalar STFT debug DFTBase ISTFT Spectrogram DFT magphase LogmelFilterBank intensityvector Enframe replace_indent parse_cli_overides create_logging convert_ordinal count_parameters print_metrics float_samples_to_int16 int16_samples_to_float32 move_model_to_gpu TqdmLoggingHandler get_metrics get_inferer get_generator store_config get_dataset get_losses get_models get_trainer get_afextractor get_optimizer Dcase2020task3 evaluate extract_data infer get_dataset init_train init_infer Preprocessor mkdir extract_meta train extract_scalar SELDMetrics2020 label_resolution Path load_dcase_format to_metrics2020_format clip_length DataFrame compute_doa_scores_regr sorted list name early_stopping_metric append update format concatenate glob compute_sed_scores mkdir int items print to_csv joinpath compute_seld_scores update_seld_scores load get_inferer fusion format print get_models load_state_dict zip append get_afextractor create_logging get_metrics is_dir cuda get_afextractor get_optimizer seed str StepLR strftime names CheckpointIO SummaryWriter format get_generator param_groups store_config unlink get_models lower mkdir manual_seed info is_file load print gethostname get_losses rmtree joinpath get_trainer len str format get_generator info print store_config unlink is_dir joinpath rmtree mkdir zip append is_file len items list format train_step add_scalar print_metrics close validate_step timer tqdm save info step len reshape astype where shape zeros range list reshape shape append range append range append zeros iterrows read_csv int ceil float range append kaiming_uniform_ hasattr bias normal_ weight __name__ constant_ float sum sum int ceil zeros float max range int ceil zeros float max range er_overall_1sec f1_overall_1sec int astype float sum enumerate int astype float sum enumerate int T get_matrix_index distance_between_gt_pred pi float sum array range distance_between_spherical_coordinates_rad linear_sum_assignment zeros sum array linear_sum_assignment zeros sum array distance_between_cartesian_coordinates arccos cos pi sin abs clip sqrt arccos clip pi cos sin sqrt arctan2 mean distance_between_spherical_coordinates_rad linear_sum_assignment zeros sum array distance_between_cartesian_coordinates clamp inf sqrt stack matmul rfft zeros_like irdft pt_logmel_extractor idft LogmelFilterBank DFT device abs pt_frame_extractor forward seed power_to_db fft ifft complex64 matmul uniform pad ISTFT rdft real append to range eps mean sqrt stack intensityvector Spectrogram Enframe int T spectrogram_STFTInput STFT print stft frame dft pt_stft_extractor dot magphase melW Tensor numpy imag istft conj stdout items list dump print add_argument cprint YAML add_parser ArgumentParser vars parse_args add_subparsers indent setFormatter basicConfig format info addHandler StreamHandler strftime joinpath Formatter mkdir TqdmLoggingHandler setLevel is_file INFO format device_count DataParallel info cuda sum format info items list format info add_scalar YAML print format DataLoader UserDataset UserBatchSampler ConcatDataset format convert_ordinal Losses info names enumerate format convert_ordinal names info Metrics enumerate move_model_to_gpu LogmelIntensity_Extractor count_parameters move_model_to_gpu format info list format AdamW Adam SGD parameters info Trainer Inferer | yinkalario/EIN-SELD | 4,209 |
yiranran/APDrawingGAN | ['image stylization'] | ['APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs'] | options/train_options.py data/image_folder.py data/aligned_dataset.py train.py data/__init__.py util/image_pool.py preprocess/combine_A_and_B.py models/__init__.py models/base_model.py util/html.py data/base_data_loader.py options/base_options.py test.py data/base_dataset.py util/util.py models/apdrawing_gan_model.py models/networks.py models/test_model.py data/single_dataset.py options/test_options.py util/visualizer.py getfeats dt tocv2 AlignedDataset getSoft BaseDataset __adjust get_transform __print_size_warning __scale_width BaseDataLoader is_image_file ImageFolder default_loader make_dataset SingleDataset getfeats getSoft find_dataset_using_name CreateDataLoader get_option_setter create_dataset CustomDatasetDataLoader APDrawingGANModel BaseModel get_norm_layer PixelDiscriminator GANLoss ResnetGenerator Combiner ResnetBlock define_D UnetGenerator UnetSkipConnectionBlock NLayerDiscriminator init_weights get_scheduler init_net PartUnet2 PartUnet define_G TestModel get_option_setter create_model find_model_using_name BaseOptions TestOptions TrainOptions HTML ImagePool print_numpy diagnose_network mkdirs mkdir save_image tensor2im save_images Visualizer empty transpose numpy astype DIST_L2 threshold COLOR_BGR2GRAY distanceTransform THRESH_BINARY max cvtColor THRESH_BINARY_INV arange transpose reduce tile append abs range len fineSize Lambda Resize RandomCrop BICUBIC RandomHorizontalFlip append size __print_size_warning int size __print_size_warning print is_image_file join sorted append walk items list replace print exit import_module find_dataset_using_name initialize find_dataset_using_name print name dataset_mode dataset CustomDatasetDataLoader initialize BatchNorm2d partial InstanceNorm2d LambdaLR CosineAnnealingLR ReduceLROnPlateau StepLR print apply init_weights to DataParallel get_norm_layer ResnetGenerator Combiner UnetGenerator PartUnet2 PartUnet NLayerDiscriminator PixelDiscriminator get_norm_layer items list replace print exit import_module find_model_using_name initialize model print name find_model_using_name data isinstance transpose tile Tensor numpy print parameters fromarray save print float64 astype flatten shape mkdir makedirs join list basename items get_image_dir add_images shape BICUBIC array add_header resize append save_image tensor2im | yiranran/APDrawingGAN | 4,210 |
yiskw713/boundary_loss_for_remote_sensing | ['boundary detection', 'semantic segmentation'] | ['Boundary Loss for Remote Sensing Imagery Semantic Segmentation'] | boundary_loss.py BoundaryLoss one_hot transpose device | yiskw713/boundary_loss_for_remote_sensing | 4,211 |
yiskw713/fastfcn | ['semantic segmentation'] | ['FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation'] | libs/models/jpu.py libs/models/fastfcn.py FastFCN JPU SeparableConv2d | yiskw713/fastfcn | 4,212 |
yjparkLiCS/InfoSSM | ['time series'] | ['InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics'] | networks/Variational.py networks/MGP.py networks/InfoSSM.py networks/Observation.py networks/utils.py InfoSSM MGPpredict SEARD MGP Observation logdet vecs_to_tri catSample log_normpdf vec_to_tri expand_tile Variational reshape exp reduce_sum tile expand_dims transpose expand_tile squeeze abs matrix_diag_part log reduce_sum shape exp log random_uniform list constant zip list constant zip | yjparkLiCS/InfoSSM | 4,213 |
yk-szk/SPIE2020 | ['semantic segmentation'] | ['Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset'] | manuscript/confusion_matrix/plot_cm.py manuscript/swarm_plot/plot.py src/loss.py src/model.py utils/aligned_crop.py get_weakly_supervised_sparse_categorical_crossentropy get_semisupervised_sparse_categorical_crossentropy build_model visualize_network contract3d contract2d expand2d aligned_crop value contract3d contract2d expand2d append Input range enumerate write set_dpi model_to_dot join max where pad save zip append array open | yk-szk/SPIE2020 | 4,214 |
yky138495/awesome-matlab-rank-1000 | ['style transfer'] | ['Deep Photo Style Transfer'] | tools/github_rank.py write_to_file get_proxy get_db_data insert_data creat_database par_html handle_request delete_proxy make_mark_down os_mk_dir get format commit cursor print close connect execute commit cursor close connect execute str replace print text insert_data strip BeautifulSoup find_all find get str format get_proxy print text delete_proxy commit cursor close connect execute append str get_db_data exists makedirs os_mk_dir | yky138495/awesome-matlab-rank-1000 | 4,215 |
ylytkin/backpropagation | ['stochastic optimization'] | ['Adam: A Method for Stochastic Optimization'] | neural_network/utils.py neural_network/neural_network.py neural_network/__init__.py NeuralNetwork make_parabolas normal T ones astype uniform vstack append enumerate | ylytkin/backpropagation | 4,216 |
ymirsky/CIoTA-Sim | ['anomaly detection'] | ['Lightweight Collaborative Anomaly Detection for the IoT using Blockchain'] | example.py DiscreetEventSimulator.py display_time Agent DES append int rstrip format | ymirsky/CIoTA-Sim | 4,217 |
yobibyte/atarigrandchallenge | ['imitation learning'] | ['The Atari Grand Challenge Dataset'] | agc/dataset.py agc/util.py webapp/notebooks/util.py webapp/replay.py setup.py webapp/server.py agc/tests/test_agc.py webapp/Models.py webapp/keys.py AtariDataset env2game preprocess get_action_name get_action_code game2env AgcTest PlayerType Game Action Trajectory data get_trajectory get_quantiles index index_rom replay save_trajectory save_sequence test_save get_scores save_frame about load_data_npz agc_to_gym load_imitation_data game2env load_imitation_data_bounded send_mail write_data load_AGC_data get_action_name collapse_consecutive_zeros get_action_code get_quants load_trajectories get_actions load_split_trajectories preprocess get_trajs_stats env2game play_eval_game load_imitation_data_bounded_split COLOR_RGB2GRAY astype float32 resize cvtColor set String Integer Column String Integer Column String Integer Column String id ForeignKey Column Integer all get_scores ai_score choice ai_score commit print Trajectory add get_json BytesIO b64decode save get_json crop open join int str sort mkdir get_json listdir join int BytesIO str b64decode print sort save get_json listdir crop open rom first rgb2gray listdir pjoin extend print listdir pjoin extend len append range str list print reshape shuffle index keys preprocess pjoin IMREAD_GRAYSCALE get_action_name zeros imread listdir array range append len str print reshape index preprocess pjoin IMREAD_GRAYSCALE get_action_name zeros imread listdir range append len str dump print reshape index preprocess open mkdir pjoin IMREAD_GRAYSCALE get_action_name zeros imread listdir range len str print reshape TupleDataset index preprocess pjoin IMREAD_GRAYSCALE get_action_name zeros imread listdir range savez_compressed len print load login MIMEMultipart starttls SMTP sendmail MIMEText as_string quit attach percentile std min mean sum max range len argmax pop sample preprocess reset append step range | yobibyte/atarigrandchallenge | 4,218 |
yohanjo/emnlp20_prop_extr | ['argument mining'] | ['Extracting Implicitly Asserted Propositions in Argumentation'] | src/clf_rspch_content_bert_us2016.py src/clf_rspch_crf_parc3.py src/clf_rspch_source_bert_us2016.py src/task_quest_trans.py src/csv_utils.py src/models.py src/clf_rspch_crf_us2016.py src/helper.py src/clf_rspch_bert_parc3.py accuracy_content long_tensor tokenize float_tensor accuracy_source match long_tensor tokenize float_tensor CRF accuracy_source get_label CRF accuracy_source match long_tensor tokenize float_tensor accuracy_source print_dict_csv iter_csv_header iter_csv iter_csv_noheader pickle_load zero_tensor log_sum_exp get_bleu pickle_dump accuracy cuda long_tensor argmax get_logger list_split float_tensor CopyDecoder QuestionTransformer Encoder BasicDecoder BasicEncoder BeamSearchNode AttnDecoder Revisor2 get_glove_idxs get_tokens accuracy get_prefix is_available cuda LongTensor is_available cuda FloatTensor convert_tokens_to_ids strip append enumerate join convert_ids_to_tokens precision_recall_fscore_support sentence_bleu zip append append all extend len finditer end escape start append range len zip DictReader reader close append next open close reader open DictReader reader __next__ close append open writer items writerow close open sentence_bleu append pred dict shape addHandler setLevel INFO getLogger is_available is_available zeros cuda dumps len getsize bytearray max expand localtime startswith format strftime endswith set add lower startswith split append max enumerate len append uniform array len get_bleu | yohanjo/emnlp20_prop_extr | 4,219 |
yolo2233/cross-modal-hasing-playground | ['cross modal retrieval'] | ['Deep Binary Reconstruction for Cross-modal Hashing'] | corr_ae/ops.py LSSH/lssh.py CMFH/utils.py corr_ae/model.py corr_ae/flickr.py LSSH/train.py CMFH/cmfh.py CMFH/test.py IMH/imh.py corr_ae/utils.py IMH/utils.py LSSH/test.py DBRC/model.py corr_ae/test.py corr_ae/train_flickr.py CMFH/flickr.py LSSH/utils.py DBRC/train_flickr.py DBRC/utils.py IMH/test.py IMH/train.py DBRC/ops.py CMFH/train_flickr.py DBRC/test.py CMFH sample sample_feature generate_similarity_matrix precision_top_k optimized_mAP precision_recall hamming_distance count_time generate_image_raw_feature generate_text_feature generate_image_vgg19_feature generate_image_vgg16_feature generate_image_vgg_predict_feature Corr_AE image_decoder image_encoder text_encoder text_decoder change_a show_a generate_similarity_matrix precision_top_k fully_connected check_folder precision_recall data_reader de_conv sample_feature conv2d optimized_mAP sample hamming_distance kl_divergence count_time DBRC image_decoder image_encoder text_encoder text_decoder count_time generate_similarity_matrix precision_top_k fully_connected check_folder precision_recall data_reader de_conv sample_feature conv2d optimized_mAP sample hamming_distance kl_divergence count_time IMH generate_similarity_matrix precision_top_k precision_recall sample_feature optimized_mAP sample hamming_distance count_time LSSH generate_similarity_matrix precision_top_k precision_recall sample_feature optimized_mAP sample hamming_distance count_time list set load astype bitwise_and zeros expand_dims sum enumerate load zeros enumerate list euclidean_distances astype map copy argsort array argwhere cosine_similarity hamming_distance sum flip range hamming_distance sum astype copy list euclidean_distances astype map copy argsort mean array cosine_similarity hamming_distance sum flip append expand_dims sum bitwise_xor update asarray sort listdir enumerate update VGG16 asarray print sort reshape shape listdir predict enumerate update asarray print sort shape Model VGG19 listdir predict enumerate update VGG16 asarray sort listdir predict enumerate load_word2vec_format sort listdir fully_connected fully_connected fully_connected fully_connected copy print append mkdir File makedirs loadmat loadmat loadmat | yolo2233/cross-modal-hasing-playground | 4,220 |
yolomax/WP-ReID | ['person re identification'] | ['Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation'] | update_module.py video_reid_performance.py eval.py dataset.py wp_reid_dataset/wp_reid_dataset.py wp_reid_dataset/__init__.py utils.py main.py eval_tools.py DataBank RecurrentContextPropagationModule update_with_gps get_signal_match_cmc get_vision_record_dist trajectory_distance_update find_bndbox_gps visual_affinity_update trans_gps_diff_to_dist norm_data file_abs_path check_path np_filter DataPacker compute_video_cmc_map compute_AP WPReID deepcopy get_vision_record_dist RecurrentContextPropagationModule copy init_dataset_info rcpm asarray all cumsum sort size astype float32 where copy argsort int32 append sum range min max copy cos pi append arange int list inf astype copy find_bndbox_gps mean int64 argwhere trans_gps_diff_to_dist append zeros keys enumerate T asarray sort reshape copy repeat isinf append expand_dims sum range min copy shape zeros range append concatenate enumerate Path makedirs zeros size enumerate compute_AP size float32 where argsort zeros sum range | yolomax/WP-ReID | 4,221 |
yolomax/rru-reid | ['person re identification', 'video based person re identification'] | ['Spatial and Temporal Mutual Promotion for Video-based Person Re-identification'] | rru.py BasicConv2d RRU BasicConv2dLeaky RRUV2 | yolomax/rru-reid | 4,222 |
yolu1055/WoodburyTransformations | ['normalising flows'] | ['Woodbury Transformations for Deep Generative Flows'] | GlowLearner.py models.py train_main.py WoodburyTrans.py inference_main.py datasets.py modules.py utils.py postprocess preprocess load_cifar10 Inferencer Trainer WoodburyGlow WoodburyGlowStep FlowNet GaussianDiag Conv2dZeros Split AffineCoupling Conv2d SqueezeLayer Actnorm count_parameters load_state save_model WTrans ChannelTrans MEWTrans SpatialTrans Compose CIFAR10 uniform_ div mul floor div mul floor BCEWithLogitsLoss CrossEntropyLoss float log pi join format save __name__ state_dict print load | yolu1055/WoodburyTransformations | 4,223 |
yongxuUSTC/cnn_rnn_spatial_audio_tagging | ['audio tagging'] | ['Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging'] | main_cnnlstm_2ch_wav_ipld_conv1d_keras_indIPD_easy_fold4.py config_2ch_raw_spec_ipld.py main_cnnlstm_2ch_MBK_ipld_conv1d_keras_indIPD_easy_fold4.py main_cnnlstm_2ch_Spec_ipld_conv1d_keras_noILD_easy_fold4.py config_2ch_raw_wav_ipld.py eer.py config_2ch_raw_mbk_ipld.py recognize_cnnlstm_2ch_mbk_keras_noILD_easy.py recognize_cnnlstm_2ch_spec_keras_indIPD_easy.py main_cnnlstm_2ch_MBK_ipld_conv1d_keras_noIPD_easy_fold4.py main_cnnlstm_2ch_Spec_ipld_conv1d_keras_indIPD_easy_fold4.py recognize_cnnlstm_2ch_raw_keras_indIPD_easy.py main_cnnlstm_2ch_wav_ipld_conv1d_keras_noILD_easy_noDP_fold4.py recognize_cnnlstm_2ch_spec_keras_noIPD_easy.py recognize_cnnlstm_2ch_raw_keras_noILD_easy.py recognize_cnnlstm_2ch_mbk_keras_indIPD_easy.py prepare_data_2ch_raw_ipd_ild_easy_Spec.py compute_eer reshapeX3 reshapeX reshapeX2 reshapeX1 reshapeX reshapeX2 reshapeX1 reshapeX reshapeX2 reshapeX1 reshapeX reshapeX2 reshapeX1 reshapeX3 reshapeX reshapeX2 reshapeX1 reshapeX reshapeX2 reshapeX1 GetScaler GetMBK GetScalerSegData GetMel TagsToCategory GetSpec GetSegData GetAllData_separate GetAllData readwav GetTags CreateFolder segraw reshapeX recognize reshapeX1 reshapeX2 reshapeX3 reshapeX recognize reshapeX1 reshapeX2 reshapeX3 reshapeX recognize reshapeX1 reshapeX2 reshapeX3 list roc_curve zip array enumerate len len len len read rate astype sampwidth power as_strided hamming sorted T dump spectrogram angle print divide mean shape readwav open win segraw len hamming sorted T dump spectrogram print mean shape mel dot readwav open win len hamming add_subplot readwav abs show sorted matshow angle ylabel shape title log10 mean win T print xlabel divide figure spectrogram len zeros labels len load int TagsToCategory mat_2d_to_3d dev_wav_fd append GetTags mat_concate_multiinmaps6in open load int TagsToCategory mat_2d_to_3d dev_wav_fd append GetTags open load int TagsToCategory mat_2d_to_3d dev_wav_fd append GetTags open load int concatenate fit append open load int TagsToCategory mat_2d_to_3d dev_wav_fd transform GetTags append open makedirs writer compute_eer list print close labels file dict writerows prec_recall_fvalue zip array len | yongxuUSTC/cnn_rnn_spatial_audio_tagging | 4,224 |
yossigandelsman/DoubleDIP | ['image dehazing', 'semantic segmentation'] | ['"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors'] | net/losses.py dehazing.py net/noise.py bg_fg_prep.py net/skip_model.py transparency_separation.py net/downsampler.py utils/image_io.py watermarks_removal.py utils/imresize.py net/unet_model.py net/layers.py net/__init__.py net/optimization.py segmentation.py net/upsampler.py image_histogram_equalization get_atmosphere Dehaze get_dark_channel dehaze TwoImagesSeparation Separation remove_watermark_many_images ManyImagesWatermarkNoHint remove_watermark Watermark get_kernel Downsampler get_downsampled get_imresize_downsampled Swish GenNoise VarianceLayer act CovarianceLayer add_module Concat Ratio GrayscaleLayer conv VectorRatio weights_init bn FixedBlurLayer GrayLoss StdLoss GrayscaleLoss ExclusionLoss ExtendedL1Loss GradientLoss NonBlurryLoss YIQGNGCLoss get_video_noise get_noise NoiseNet fill_noise uneven_optimize optimize skip_mask skip outconv up double_conv UNet down inconv UpsamplerModel torch_to_np plot_image_grid video_to_images prepare_image crop_np_image save_image np_to_torch create_augmentations prepare_gray_image save_video get_image save_graph crop_torch_image pil_to_np images_to_video np_to_pil get_params crop_image load save_graphs prepare_video get_image_grid average save_heatmap median create_video_augmentations kernel_shift fix_scale_and_size lanczos3 contributions imresize linear resize_along_dim np_imresize box numeric_kernel lanczos2 cubic min shape pad ndindex zeros reshape transpose shape get_dark_channel ravel clip optimize format post finalize array a Dehaze range save_image optimize format zeros_like Watermark finalize append median save_image range best_result optimize format zeros_like ManyImagesWatermarkNoHint finalize zip append median save_image range best_result exp print pi sin zeros abs range downsampler FloatTensor append type cuda transpose pil_to_np np_to_pil append range clip crop_image hasattr xavier_normal fill_ bias normal_ weight __name__ isinstance int AvgPool2d MaxPool2d ReflectionPad2d Conv2d Downsampler str len np_to_torch arange isinstance concatenate fill_noise meshgrid zeros float np_to_torch arange isinstance concatenate uniform meshgrid float range append uniform_ normal_ print zero_grad Adam plot_closure optimization_closure step range print zero_grad Adam plot_closure optimization_closure step range act Sequential add Concat Sigmoid conv Upsample range bn len act Sequential add Concat Sigmoid conv Upsample range bn len crop split make_grid format transpose get_image_grid imshow savefig max format np_to_pil save save_image format prepare_video enumerate format prepare_gray_image glob print save_video shape prepare_image array range append len cmap transpose delete get_cmap save_image clf savefig plot copy copy items list subplots plot set_xlabel clf set_ylabel savefig legend open load isinstance ANTIALIAS pil_to_np BICUBIC resize crop_image vread uint8 format transpose astype vwrite prepare_image transpose array shape range zeros len shape zeros len transpose uint8 astype get fix_scale_and_size contributions resize_along_dim tolist copy shape uint list extend isscalar ceil array len uint arange concatenate squeeze any floor nonzero ceil expand_dims sum fixed_kernel list T reshape ndim shape swapaxes sum kernel_shift zeros_like ndim correlate range int max shape pad ceil center_of_mass array abs | yossigandelsman/DoubleDIP | 4,225 |
yougoforward/Fast_psaa | ['semantic segmentation'] | ['FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation'] | encoding/models/cam2.py encoding/models/papnet2.py encoding/models/encnet.py encoding/models/psaa.py encoding/models/aanet_simple.py encoding/models/dict_aanet.py encoding/models/fcn.py encoding/models/asp_pgfnet.py encoding/nn/dcn.py encoding/utils/files.py encoding/models/psaa2.py encoding/models/psaa7.py encoding/models/aspoc.py encoding/models/amcacam.py scripts/prepare_cityscapes.py encoding/models/papnet6.py encoding/datasets/cocostuff.py encoding/models/pydict.py encoding/models/papnet9.py encoding/models/amca.py encoding/nn/base_oc_block.py encoding/datasets/coco.py encoding/lib/__init__.py encoding/models/aanet_pam_metric.py encoding/models/pydict_encnet.py encoding/models/pap9.py encoding/utils/pallete.py encoding/nn/customize.py encoding/models/psaa35.py encoding/nn/encoding.py encoding/models/aanet_nopam.py setup.py experiments/segmentation/train_metric.py encoding/models/amca_asppaca.py encoding/models/amca2.py encoding/models/pgfnet.py encoding/models/psaa9.py scripts/prepare_pcontext.py encoding/models/asp_oc_gap_secam.py encoding/models/psaa53.py encoding/models/aca2.py encoding/nn/__init__.py encoding/models/mask_softmax.py encoding/models/psp6.py encoding/datasets/pcontext60.py encoding/datasets/cityscapes.py encoding/models/__init__.py experiments/segmentation/test.py encoding/models/psaa34.py encoding/models/psaa10.py encoding/models/model_zoo.py encoding/models/papnet7.py encoding/lib/gpu/setup.py experiments/segmentation/option.py experiments/segmentation/train_guide.py encoding/models/aspoc_gsecam_net.py encoding/models/psaa33.py experiments/segmentation/train.py encoding/models/aanet.py encoding/models/fcn_8s.py encoding/models/new_psp2_gp.py encoding/models/psp4.py encoding/models/aspp2.py encoding/nn/comm.py encoding/__init__.py encoding/models/papnet4.py encoding/models/psaa8.py encoding/models/aspoc_gsecam_du_net.py encoding/models/deeplabv3.py encoding/dilated/resnet.py encoding/models/psaa62.py encoding/models/aspp.py encoding/functions/encoding.py encoding/models/aspoc_psaa_gp.py encoding/nn/syncbn.py encoding/models/psp5.py encoding/models/psp.py encoding/functions/__init__.py encoding/models/new_psp2.py encoding/models/new_psp3.py encoding/models/new_psp6.py encoding/models/fcn_du.py scripts/prepare_pascal.py encoding/utils/__init__.py encoding/datasets/base.py encoding/models/psaa32.py encoding/models/new_psp5.py experiments/segmentation/train_lovasz.py encoding/models/aanet_encnet.py encoding/lib/cpu/setup.py encoding/models/aspoc_secam.py encoding/models/base.py scripts/prepare_coco.py scripts/prepare_ade20k.py encoding/models/asppacaca.py encoding/functions/syncbn.py encoding/dilated/mg_resnet.py encoding/models/psaa3.py encoding/datasets/pcontext.py encoding/models/psaa6.py encoding/models/new_psp4.py encoding/models/aanet_ml.py encoding/models/papnet5.py encoding/parallel.py encoding/utils/metrics.py encoding/models/aca.py encoding/models/model_store.py encoding/datasets/__init__.py encoding/datasets/pascal_voc.py encoding/models/psp2.py encoding/models/aspoc_psaa.py encoding/models/topk_aanet.py encoding/models/papnet8.py encoding/models/psaa4.py encoding/utils/lr_scheduler.py encoding/models/psp3.py encoding/models/psaa5.py encoding/models/amcaaca.py encoding/models/asppaca.py encoding/models/new_psp.py encoding/datasets/ade20k.py encoding/datasets/pascal_aug.py encoding/models/cam.py encoding/models/psp7.py experiments/segmentation/test_fps_params.py experiments/segmentation/train_ml.py encoding/models/psaa52.py encoding/dilated/__init__.py encoding/models/papnet.py encoding/models/papnet3.py encoding/models/asppcam.py create_version_file develop install CallbackContext allreduce AllReduce DataParallelModel _criterion_parallel_apply execute_replication_callbacks Reduce DataParallelCriterion ADE20KSegmentation _get_ade20k_pairs BaseDataset RandomRotation RandomHSV RandomContrast RandomPerm test_batchify_fn get_city_pairs CitySegmentation COCOSegmentation CocostuffSegmentation _get_cocostuff_pairs VOCAugSegmentation VOCSegmentation ContextSegmentation ContextSegmentation get_segmentation_dataset ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 scaled_l2 _scaled_l2 aggregate _aggregate _batchnormtrain batchnormtrain _sum_square sum_square ASPOC_Module SelfAttentionModule aspoc_psaa_gpNetHead aspoc_psaa_gpConv get_aspoc_psaa_gpnet aspoc_psaa_gpNet gap_Pooling get_model psaaNet psaaPooling get_psaanet psaaConv psaa_Module psaaNetHead aa_ASPP_Module CAM_Module get_aanet PAM_Module ASPP_Module guided_CAM_Module SE_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module AANetHead AANet SE_Module topk_PAM_Module aanet_encnetHead aa_ASPP_Module CAM_Module PAM_Module EncModule ASPP_Module guided_CAM_Module aanet_encnet SE_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module SE_Module get_aanet_encnet topk_PAM_Module aa_ASPP_Module get_aanet_ml AANet_ML PAM_Module CAM_Module ASPP_Module AANetMLHead guided_CAM_Module SE_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module SE_Module topk_PAM_Module aa_ASPP_Module get_aanet_nopam CAM_Module PAM_Module SE_Module ASPP_Module guided_CAM_Module SE_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module AANet_nopam AANet_nopamHead topk_PAM_Module get_aanet_metric aa_ASPP_Module CAM_Module aanet_metricHead PAM_Module aanet_metric ASPP_Module guided_CAM_Module SE_CAM_Module AsppPooling ASPPConv PAM_metric_Module guided_SE_CAM_Module SE_Module topk_PAM_Module aa_ASPP_Module CAM_Module PAM_Module ASPP_Module get_aanet_fast guided_CAM_Module SE_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module AANetHead AANet SE_Module topk_PAM_Module ACANetHead get_acanet ACANet guided_CAM_Module guided_SE_CAM_Module SE_Module ACA2Net get_aca2net guided_CAM_Module ACA2NetHead guided_SE_CAM_Module SE_Module AMCANetHead aa_ASPP_Module get_amcanet ASPP_Module guided_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module AMCANet SE_Module aa_ASPP_Module AMCA2NetHead ASPP_Module get_amca2net AMCA2Net guided_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module SE_Module AMCAACANet aa_ASPP_Module get_amcaacanet AMCAACANetHead ASPP_Module guided_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module SE_Module aa_ASPP_Module CAM_Module SE_Module ASPP_Module get_amcacamnet AMCACAMNetHead guided_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module AMCACAMNet aa_ASPP_Module CAM_Module PAM_Module SE_Module ASPP_Module AMCA_asppacaNetHead guided_CAM_Module SE_CAM_Module AsppPooling AMCA_asppacaNet ASPPConv guided_SE_CAM_Module get_amca_aspp_acanet topk_PAM_Module aspocPooling aspocNetHead SelfAttentionModule ASPOC_Module get_aspocnet aspocNet aa_ASPP_Module ASPP_Module SelfAttentionBlock guided_CAM_Module AsppPooling ASPOC_GSECAM_DU_Net ASPOC_GSECAM_DU_NetHead ASPPConv guided_SE_CAM_Module SE_Module get_aspoc_gsecam_dunet ASPOC_Module SelfAttentionModule aspoc_psaaNet aspoc_psaaConv aspoc_psaaNetHead get_aspoc_psaanet gap_Pooling aa_ASPP_Module CAM_Module PAM_Module SE_Module ASPP_Module guided_CAM_Module SE_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module PyramidAttentionPooling ASPOC_SECAMNet get_aspoc_secamnet ASPOC_SECAMNetHead topk_PAM_Module ASPPNetHead ASPPNet ASPP_Module AsppPooling ASPPConv get_asppnet ASPP2Net get_aspp2net ASPP2NetHead ASPP_Module AsppPooling ASPPConv aa_ASPP_Module ASPPACANetHead ASPP_Module guided_CAM_Module AsppPooling get_asppacanet ASPPConv guided_SE_CAM_Module SE_Module ASPPACANet asppacaca aa_ASPP_Module get_asppacaca PA_Module CA_Module ASPP_Module asppacaca_head guided_CA_Module AsppPooling ASPPConv SE_Module CAM_Module get_asppcamnet ASPPCAMNet ASPP_Module AsppPooling ASPPConv ASPPCAMNetead ASP_OC_GAP_SECAMNetHead aa_ASPP_Module ASP_OC_GAP_SECAMNet CAM_Module PAM_Module ASPP_Module guided_CAM_Module SE_CAM_Module AsppPooling get_asp_oc_gap_secamnet ASPPConv PyramidAttentionPooling guided_SE_CAM_Module SE_Module topk_PAM_Module asp_pgfNet asp_pgf_Module GuidedFusion PyramidGuidedFusion get_asp_pgfnet AsppPooling ASPPConv asp_pgfNetHead module_inference MultiEvalModule BaseNet flip_image resize_image pad_image crop_image CAMNetHead CAMNet get_camnet CAM_Module get_cam2net CAM2Net CAM2NetHead CAM_Module ASPP_Module DeepLabV3 get_deeplab AsppPooling ASPPConv DeepLabV3Head aa_ASPP_Module CAM_Module get_dict_aanet PAM_Module ASPP_Module guided_CAM_Module SE_CAM_Module AsppPooling dict_AANet ASPPConv guided_SE_CAM_Module dict_AANetHead SE_Module topk_PAM_Module EncHead get_encnet_resnet101_ade EncNet get_encnet_resnet50_ade EncModule get_encnet_resnet101_pcontext get_encnet_resnet152_ade get_encnet get_encnet_resnet50_pcontext get_fcn_resnet50_pcontext FCNHead get_fcn_resnet50_ade FCN get_fcn get_fcn_8s get_fcn_resnet50_pcontext FCN_8sHead FCN_8s get_fcn_resnet50_ade FCN_DU get_fcn_du get_fcn_resnet50_pcontext FCN_DUHead get_fcn_resnet50_ade Mask_Softmax gauss_mask_softmax mask_softmax gauss_Mask_Softmax mvmask_softmax get_model_file short_hash purge pretrained_model_list new_pspHead get_new_psp new_psp get_new_psp_resnet50_ade PyramidPooling get_new_psp2 new_psp2 PyramidPooling get_new_psp2_resnet50_ade new_psp2Head get_new_psp2_gp_resnet50_ade new_psp2_gpHead get_new_psp2_gp new_psp2_gp PyramidPooling gap_Pooling get_new_psp3 new_psp3 new_psp3Head PyramidPooling get_new_psp3_resnet50_ade new_psp4 get_new_psp4 get_new_psp4_resnet50_ade PyramidPooling new_psp4Head new_psp5Pooling PAM_Module new_psp5_Module new_psp5NetHead get_new_psp5net new_psp5Conv new_psp5Net PAM_Module new_psp6NetHead new_psp6Pooling new_psp6Net new_psp6_Module new_psp6Conv get_new_psp6net pap5Net aa_ASPP_Module CAM_Module guided_CAM_Module2 psp_aspp_PAM_Module PAM_Module ASPP_Module guided_CAM_Module PyramidPooling2 AsppPooling ASPPConv guided_SE_CAM_Module PyramidPooling get_pap5net pap5NetHead SE_Module aa_ASPP_Module CAM_Module psp_aspp_PAM_Module PAM_Module ASPP_Module guided_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module PyramidPooling get_papnet SE_Module papNetHead papNet aa_ASPP_Module CAM_Module pap2NetHead psp_aspp_PAM_Module PAM_Module ASPP_Module get_pap2net pap2Net guided_CAM_Module AsppPooling ASPPConv PyramidPooling guided_SE_CAM_Module SE_Module aa_ASPP_Module CAM_Module psp_aspp_PAM_Module PAM_Module ASPP_Module guided_CAM_Module get_pap3net AsppPooling pap3Net ASPPConv PyramidPooling guided_SE_CAM_Module pap3NetHead SE_Module aa_ASPP_Module CAM_Module psp_aspp_PAM_Module PAM_Module ASPP_Module guided_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module PyramidPooling pap4NetHead SE_Module get_pap4net pap4Net pap5Net aa_ASPP_Module CAM_Module guided_CAM_Module2 psp_aspp_PAM_Module PAM_Module ASPP_Module guided_CAM_Module PyramidPooling2 AsppPooling ASPPConv guided_SE_CAM_Module PyramidPooling get_pap5net pap5NetHead SE_Module aa_ASPP_Module guided_CAM_Module2 CAM_Module psp_aspp_PAM_Module pap6Net PAM_Module SE_Module ASPP_Module guided_CAM_Module PyramidPooling2 AsppPooling get_pap6net ASPPConv PyramidPooling guided_SE_CAM_Module pap6NetHead aa_ASPP_Module guided_CAM_Module2 CAM_Module psp_aspp_PAM_Module PAM_Module pap7NetHead ASPP_Module pap7Net guided_CAM_Module PyramidPooling2 AsppPooling get_pap7net ASPPConv PyramidPooling pyramid_matching guided_SE_CAM_Module SE_Module aa_ASPP_Module guided_CAM_Module2 CAM_Module psp_aspp_PAM_Module PAM_Module ASPP_Module guided_CAM_Module PyramidPooling2 AsppPooling get_pap8net ASPPConv pap8Net PyramidPooling pyramid_matching guided_SE_CAM_Module SE_Module pap8NetHead aa_ASPP_Module guided_CAM_Module2 CAM_Module pap9NetHead psp_aspp_PAM_Module PAM_Module ASPP_Module guided_CAM_Module PyramidPooling2 pap9Net AsppPooling PyramidPooling ASPPConv get_pap9net guided_SE_CAM_Module SE_Module get_pgfnet GuidedFusion PyramidGuidedFusion pgfNetHead pgfNet PAM_Module get_psaa10net psaa10Net psaa10_Module psaa10NetHead psaa10Pooling psaa10Conv ss_Module psaa2_Module psaa2Pooling PAM_Module psaa2Net psaa2NetHead psaa2Conv get_psaa2net psaa3Net psaa3Pooling psaa3Conv get_psaa3net psaa3NetHead psaa3_Module psaa32_Module get_psaa32net psaa32Net psaa32Conv psaa32NetHead psaa32Pooling ss_Module psaa33NetHead PAM_Module get_psaa33net psaa33_Module psaa33Conv psaa33Net psaa33Pooling psaa34Pooling PAM_Module psaa34_Module get_psaa34net psaa34Net psaa34Conv psaa34NetHead ss_Module psaa35_Module PAM_Module psaa35Pooling psaa35Conv get_psaa35net psaa35NetHead psaa35Net psaa4Net psaa4NetHead psaa4_Module psaa4Conv get_psaa4net psaa4Pooling psaa5Conv psaa5_Module psaa5NetHead get_psaa5net psaa5Net psaa5Pooling ss_Module psaa52Net PAM_Module psaa52Conv get_psaa52net psaa52Pooling psaa52_Module psaa52NetHead ss_Module psaa53Net psaa53NetHead PAM_Module psaa53_Module psaa53Conv get_psaa53net psaa53Pooling psaa6Net psaa6NetHead PAM_Module psaa6_Module guided_CAM_Module get_psaa6net psaa6Conv psaa6Pooling SE_Module ss_Module psaa62_Module PAM_Module get_psaa62net psaa62Pooling psaa62Net psaa62NetHead psaa62Conv psaa7Conv psaa7NetHead psaa7Net ss_Module get_psaa7net PAM_Module psaa7_Module psaa7Pooling psaa8NetHead psaa8_Module PAM_Module psaa8Pooling psaa8Net psaa8Conv get_psaa8net get_psaa9net PAM_Module psaa9_Module psaa9Pooling psaa9Conv psaa9Net psaa9NetHead PSPHead PSP get_psp_resnet50_ade get_psp get_psp_resnet50_ade PSP2 PAM_Module PSP2Head get_psp2 PyramidPooling psp3Net psp3NetHead psp3Conv psp3_Module psp3Pooling get_psp3net get_psp4net psp4Net psp4_Module psp4Pooling psp4Conv psp4NetHead psp5Conv get_psp5net PAM_Module psp5Net psp5Pooling psp5_Module psp5NetHead psp6Conv PAM_Module psp6Net psp6_Module get_psp6net psp6NetHead psp6Pooling get_psp7net PAM_Module psp7Net psp7NetHead psp7_Module psp7Conv psp7Pooling aa_ASPP_Module CAM_Module PAM_Module pydict ASPP_Module guided_CAM_Module SE_CAM_Module pydictHead AsppPooling ASPPConv get_pydict guided_SE_CAM_Module SE_Module topk_PAM_Module pydictEncHead aa_ASPP_Module CAM_Module PAM_Module SE_Module ASPP_Module pydict_encnet guided_CAM_Module SE_CAM_Module AsppPooling ASPPConv guided_SE_CAM_Module get_pydict_encnet topk_PAM_Module aa_ASPP_Module CAM_Module PAM_Module ASPP_Module topk_AANet guided_CAM_Module SE_CAM_Module topk_AANetHead AsppPooling ASPPConv get_topk_aanet guided_SE_CAM_Module SE_Module topk_PAM_Module get_segmentation_model _SelfAttentionBlock SelfAttentionBlock2D BaseOC_Module BaseOC_Context_Module SyncMaster FutureResult SlavePipe lovasz_grad flatten_probas JSFPU SegmentationLovaszLosses PA SegmentationMultiLosses SeparableConv2d JFPU Mean lovasz_softmax_flat mean isnan Normalize SegmentationLosses PyramidPooling SegmentationGuideLosses JPU metric_SegmentationLosses _NewEmptyTensorOp Conv2d DFConv2d interpolate BatchNorm2d ConvTranspose2d dict_Encoding Encoding pydict_Encoding simple_pydict_Encoding BatchNorm3d SharedTensor _SyncBatchNorm BatchNorm1d BatchNorm2d download save_checkpoint mkdir check_sha1 LR_Scheduler SegmentationMetric batch_pix_accuracy batch_intersection_union get_mask_pallete _get_voc_pallete Options test Trainer Trainer Trainer Trainer Trainer parse_args download_ade download_city parse_args parse_args install_coco_api download_coco parse_args download_voc download_aug install_pcontext_api parse_args download_ade print join join isinstance _worker len start is_grad_enabled append range Lock list hasattr __data_parallel_replicate__ modules enumerate len print join get_path_pairs list isinstance zip fromarray uint8 asarray COLOR_BGR2RGB astype COLOR_RGB2BGR int32 randint COLOR_RGB2HSV cvtColor fromarray warpAffine asarray COLOR_BGR2RGB COLOR_RGB2BGR shape getRotationMatrix2D cvtColor fromarray uint8 asarray astype mode fromarray uint8 astype float32 clip mode print join get_path_pairs join get_path_pairs load_url ResNet load_state_dict load_url ResNet load_state_dict load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file norm_layer Sequential ReLU Conv2d NUM_CLASS aspoc_psaa_gpNet lower norm_layer Sequential ReLU Conv2d psaaNet NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS AANet NUM_CLASS aanet_encnet NUM_CLASS AANet_ML NUM_CLASS AANet_nopam NUM_CLASS aanet_metric NUM_CLASS AANet NUM_CLASS ACANet NUM_CLASS ACA2Net NUM_CLASS AMCANet NUM_CLASS AMCA2Net NUM_CLASS AMCAACANet NUM_CLASS AMCACAMNet NUM_CLASS AMCA_asppacaNet NUM_CLASS aspocNet NUM_CLASS ASPOC_GSECAM_DU_Net norm_layer Sequential ReLU Conv2d NUM_CLASS aspoc_psaaNet NUM_CLASS ASPOC_SECAMNet NUM_CLASS ASPPNet NUM_CLASS ASPP2Net NUM_CLASS ASPPACANet NUM_CLASS asppacaca NUM_CLASS ASPPCAMNet NUM_CLASS ASP_OC_GAP_SECAMNet NUM_CLASS asp_pgfNet flip_image evaluate size resize_ pad array range NUM_CLASS CAMNet NUM_CLASS CAM2Net NUM_CLASS DeepLabV3 NUM_CLASS dict_AANet load EncNet get_model_file load_state_dict NUM_CLASS load get_model_file load_state_dict NUM_CLASS FCN load get_model_file load_state_dict NUM_CLASS FCN_8s load get_model_file FCN_DU load_state_dict NUM_CLASS sum exp max mul sum exp max sum mul exp size div is_tensor max range get join remove format print check_sha1 expanduser download exists makedirs join remove endswith expanduser listdir load get_model_file new_psp load_state_dict NUM_CLASS load get_model_file load_state_dict new_psp2 NUM_CLASS load get_model_file load_state_dict new_psp2_gp NUM_CLASS load get_model_file new_psp3 load_state_dict NUM_CLASS load new_psp4 get_model_file load_state_dict NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp5Net norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp6Net NUM_CLASS pap5Net NUM_CLASS papNet NUM_CLASS pap2Net NUM_CLASS pap3Net NUM_CLASS pap4Net pap6Net NUM_CLASS NUM_CLASS pap7Net NUM_CLASS pap8Net NUM_CLASS pap9Net NUM_CLASS pgfNet norm_layer Sequential ReLU Conv2d NUM_CLASS psaa10Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa2Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa3Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa32Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa33Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa34Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa35Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa4Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa5Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa52Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa53Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa6Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa62Net norm_layer Sequential ReLU Conv2d NUM_CLASS psaa7Net norm_layer Sequential ReLU Conv2d psaa8Net NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS psaa9Net load PSP get_model_file load_state_dict NUM_CLASS load PSP2 get_model_file load_state_dict NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS psp3Net norm_layer Sequential ReLU Conv2d NUM_CLASS psp4Net norm_layer Sequential ReLU Conv2d NUM_CLASS psp5Net norm_layer Sequential ReLU Conv2d psp6Net NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS psp7Net pydict NUM_CLASS pydict_encnet NUM_CLASS NUM_CLASS topk_AANet data lovasz_grad Variable sort size dot append float abs range cumsum sum len size view filterfalse next iter enumerate _output_size tuple copyfile save makedirs get join isdir print dirname abspath expanduser makedirs sha1 makedirs sum max astype dtype max histogram astype fromarray lower astype putpalette range num_class model save_folder get_mask_pallete DataLoader get_segmentation_model save dataset cuda get_segmentation_dataset load_state_dict format model_zoo Compose eval resume zip enumerate load join SegmentationMetric print tqdm get_model makedirs add_argument ArgumentParser join download mkdir print join mkdir download mkdir rmtree system join download mkdir join download mkdir basename move rmtree system | yougoforward/Fast_psaa | 4,226 |
yougoforward/GSNet | ['semantic segmentation'] | ['FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation'] | encoding/models/gsnet_noatt.py encoding/models/encnet.py encoding/models/new_gsnet3.py encoding/models/fcn_att.py encoding/models/fcn.py encoding/utils/files.py encoding/datasets/blur_2.py encoding/models/gsnet.py encoding/models/new_gsnet.py scripts/prepare_cityscapes.py encoding/datasets/cocostuff.py encoding/models/new_psp3_aspp_base_att.py encoding/models/deeplabv3_att_noguide.py encoding/datasets/coco.py encoding/models/new_psp3_nopsaa.py encoding/models/new_psp3_noatt_nose_nopsaa.py encoding/utils/pallete.py encoding/nn/customize.py encoding/nn/encoding.py encoding/models/gsnet_nose.py encoding/datasets/pascal.py scripts/prepare_pcontext.py encoding/nn/__init__.py encoding/models/new_psp3_noatt_nose.py encoding/models/new_psp3_nogp.py experiments/segmentation/test_whole.py encoding/models/up_psp.py encoding/datasets/pcontext60.py encoding/datasets/cityscapes.py encoding/models/__init__.py experiments/segmentation/test.py encoding/models/gsnet7.py encoding/models/model_zoo.py encoding/models/gsnet7_nose.py experiments/segmentation/option.py encoding/models/new_gsnet4.py encoding/models/psp_att_noguide.py experiments/segmentation/train.py encoding/nn/comm.py encoding/__init__.py encoding/models/gsnet4.py encoding/models/up_fcn.py encoding/models/new_psp3_noatt.py encoding/models/deeplabv3.py encoding/dilated/resnet.py encoding/functions/encoding.py encoding/models/deeplabv3plus.py encoding/nn/syncbn.py encoding/models/psp.py encoding/datasets/blur_3.py encoding/functions/__init__.py encoding/models/annl_fcn.py encoding/models/gsnet_noatt_nose.py encoding/models/gsnet_noduide.py encoding/models/new_psp3_noatt_nopsaa.py encoding/models/new_psp3.py scripts/prepare_pascal.py encoding/models/gsnet8.py encoding/utils/__init__.py encoding/datasets/base.py encoding/models/cfpn_gsf.py encoding/models/mlgsnet.py encoding/models/annl_gsnet.py encoding/models/gsnet_noatt_nose_nopsaa.py encoding/models/base.py scripts/prepare_coco.py scripts/prepare_ade20k.py encoding/functions/syncbn.py encoding/dilated/mg_resnet.py encoding/datasets/pcontext.py experiments/segmentation/test_single_image.py encoding/models/new_psp3_aspp_base_psaa_att.py encoding/parallel.py encoding/models/psp_att.py encoding/utils/metrics.py encoding/models/new_psp3_aspp_base_psaa.py encoding/models/new_psp3_nose.py encoding/models/new_gsnet2.py encoding/models/gsnet3.py encoding/models/deeplabv3_att.py encoding/datasets/__init__.py encoding/models/model_store.py encoding/datasets/pascal_voc.py encoding/models/new_psp3_noguide.py encoding/utils/lr_scheduler.py encoding/models/new_psp3_aspp_base.py encoding/models/gsnet6.py encoding/models/gsnet2.py encoding/models/up_deeplabv3.py encoding/models/gsnet5.py encoding/datasets/ade20k.py encoding/datasets/pascal_aug.py experiments/segmentation/test_fps_params.py encoding/dilated/__init__.py encoding/models/avg_gsnet.py encoding/models/new_psp3_nose_nopsaa.py encoding/models/new_psp3_nopsaa_nose_nogp.py CallbackContext allreduce AllReduce DataParallelModel _criterion_parallel_apply execute_replication_callbacks Reduce DataParallelCriterion ADE20KSegmentation _get_ade20k_pairs BaseDataset RandomRotation RandomHSV RandomContrast RandomPerm test_batchify_fn Blur2Segmentation Blur3Segmentation get_city_pairs CitySegmentation COCOSegmentation CocostuffSegmentation _get_cocostuff_pairs VOCSegmentation VOCAugSegmentation VOCSegmentation ContextSegmentation ContextSegmentation get_segmentation_dataset ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 ScaledL2 aggregate scaled_l2 Aggregate normalization Normalization gsnet6Pooling get_gsnet6net PAM_Module gsnet6NetHead gsnet6_Module gsnet6Net gsnet6Conv new_psp3_aspp_baseNet new_psp3_aspp_basePooling PAM_Module new_psp3_aspp_baseNetHead new_psp3_aspp_baseConv get_new_psp3_aspp_basenet new_psp3_aspp_base_Module PAM_Module PSPModule APAM_Module annl_fcnHead get_annl_fcn_resnet50_pcontext get_annl_fcn_resnet50_ade get_annl_fcn annl_fcn annl_gsnetConv annl_gsnetNet annl_gsnet_Module PSPModule APAM_Module annl_gsnetPooling annl_gsnetNetHead get_annl_gsnetnet avg_gsnetConv PAM_Module get_avg_gsnetnet avg_gsnet_Module avg_gsnetNetHead avg_gsnetNet avg_gsnetPooling module_inference MultiEvalModule_whole MultiEvalModule BaseNet flip_image resize_image pad_image crop_image cfpn_gsf PAM_Module localUp cfpn_gsfHead get_cfpn_gsf Context get_deeplabv3 ASPP_Module DeepLabV3 AsppPooling ASPPConv DeepLabV3Head DeepLabV3plusHead ASPP_Module AsppPooling get_deeplabv3plus ASPPConv DeepLabV3plus get_deeplabv3_att deeplabv3_att PAM_Module ASPP_Module AsppPooling ASPPConv deeplabv3_attHead deeplabv3_att_noguideHead deeplabv3_att_noguide PAM_Module ASPP_Module AsppPooling ASPPConv get_deeplabv3_att_noguide EncHead get_encnet_resnet101_ade EncNet get_encnet_resnet50_ade EncModule get_encnet_resnet101_pcontext get_encnet_resnet152_ade get_encnet get_encnet_resnet50_pcontext get_fcn_resnet50_pcontext FCNHead get_fcn_resnet50_ade FCN get_fcn fcn_att get_fcn_att PAM_Module fcn_attHead get_fcn_att_resnet50_pcontext get_fcn_att_resnet50_ade PAM_Module get_gsnet gsPooling gsConv gs_Module gsnet gsnetHead gsnet2 PAM_Module get_gsnet2 gsPooling gsConv gs_Module gsnet2Head gsnet3NetHead get_gsnet3net PAM_Module gsnet3Pooling gsnet3_Module gsnet3Conv gsnet3Net gsnet4Net get_gsnet4net gsnet4NetHead PAM_Module gsnet4_Module gsnet4Pooling gsnet4Conv gsnet5NetHead PAM_Module gsnet5_Module get_gsnet5net gsnet5Pooling gsnet5Conv gsnet5Net gsnet7Pooling PAM_Module gsnet7Conv gsnet7Net gsnet7NetHead get_gsnet7net gsnet7_Module get_gsnet7_nosenet gsnet7_nose_Module PAM_Module gsnet7_noseConv gsnet7_noseNetHead gsnet7_nosePooling gsnet7_noseNet gsnet8Conv PAM_Module gsnet8NetHead gsnet8_Module get_gsnet8net gsnet8Net gsnet8Pooling PAM_Module gsPooling gsConv get_gsnet_noatt gs_Module gsnet_noatt gsnet_noattHead PAM_Module get_gsnet_noatt_nose gsPooling gsConv gs_Module gsnet_noatt_nose gsnet_noatt_noseHead PAM_Module gsPooling gsnet_noatt_nose_nopsaa gsConv gs_Module gsnet_noatt_nose_nopsaaHead get_gsnet_noatt_nose_nopsaa get_gsnet_noguide gsnet_noguideHead PAM_Module gsPooling gsConv gs_Module gsnet_noguide PAM_Module gsPooling gsConv gsnet_nose gs_Module gsnet_noseHead get_gsnet_nose get_mlgsnetnet mlgsnetNet PAM_Module mlgsnetConv PSPModule APAM_Module mlgsnet_Module mlgsnetPooling mlgsnetNetHead get_model_file short_hash purge pretrained_model_list get_model new_gsnet_Module PAM_Module new_gsnetPooling new_gsnetConv new_gsnetNetHead new_gsnetNet get_new_gsnetnet PAM_Module new_gsnet2Net new_gsnet2_Module new_gsnet2Conv get_new_gsnet2net new_gsnet2NetHead new_gsnet2Pooling new_gsnet3NetHead PAM_Module new_gsnet3Pooling get_new_gsnet3net new_gsnet3Conv new_gsnet3_Module new_gsnet3Net new_gsnet4Conv PAM_Module new_gsnet4NetHead new_gsnet4_Module new_gsnet4Pooling get_new_gsnet4net new_gsnet4Net new_psp3NetHead new_psp3_Module new_psp3Conv new_psp3Net PAM_Module get_new_psp3net new_psp3Pooling new_psp3_aspp_base_attNetHead new_psp3_aspp_base_attPooling PAM_Module new_psp3_aspp_base_att_Module get_new_psp3_aspp_base_attnet new_psp3_aspp_base_attNet new_psp3_aspp_base_attConv new_psp3_aspp_base_psaaNet PAM_Module new_psp3_aspp_base_psaaPooling get_new_psp3_aspp_base_psaanet new_psp3_aspp_base_psaaConv new_psp3_aspp_base_psaaNetHead new_psp3_aspp_base_psaa_Module new_psp3_aspp_base_psaa_attNet PAM_Module get_new_psp3_aspp_base_psaa_attnet new_psp3_aspp_base_psaa_att_Module new_psp3_aspp_base_psaa_attConv new_psp3_aspp_base_psaa_attPooling new_psp3_aspp_base_psaa_attNetHead new_psp3_noattPooling new_psp3_noattConv PAM_Module new_psp3_noattNet new_psp3_noatt_Module new_psp3_noattNetHead get_new_psp3_noattnet PAM_Module new_psp3_noatt_nopsaaNet new_psp3_noatt_nopsaaPooling new_psp3_noatt_nopsaaConv new_psp3_noatt_nopsaa_Module new_psp3_noatt_nopsaaNetHead get_new_psp3_noatt_nopsaanet new_psp3_noatt_nose_Module new_psp3_noatt_noseNetHead PAM_Module get_new_psp3_noatt_nosenet new_psp3_noatt_noseNet new_psp3_noatt_nosePooling new_psp3_noatt_noseConv new_psp3_noatt_nose_nopsaa_Module PAM_Module new_psp3_noatt_nose_nopsaaPooling new_psp3_noatt_nose_nopsaaNetHead get_new_psp3_noatt_nose_nopsaanet new_psp3_noatt_nose_nopsaaNet new_psp3_noatt_nose_nopsaaConv new_psp3_nogp_Module PAM_Module new_psp3_nogpPooling new_psp3_nogpNetHead new_psp3_nogpNet new_psp3_nogpConv get_new_psp3_nogpnet new_psp3_noguide_Module PAM_Module new_psp3_noguidePooling new_psp3_noguideConv new_psp3_noguideNetHead get_new_psp3_noguidenet new_psp3_noguideNet new_psp3_nopsaaNet get_new_psp3_nopsaanet PAM_Module new_psp3_nopsaa_Module new_psp3_nopsaaConv new_psp3_nopsaaPooling new_psp3_nopsaaNetHead new_psp3_nopsaa_nose_nogpNet PAM_Module new_psp3_nopsaa_nose_nogpNetHead new_psp3_nopsaa_nose_nogp_Module new_psp3_nopsaa_nose_nogpPooling new_psp3_nopsaa_nose_nogpConv get_new_psp3_nopsaa_nose_nogpnet new_psp3_nosePooling new_psp3_noseNetHead PAM_Module new_psp3_nose_Module new_psp3_noseConv get_new_psp3_nosenet new_psp3_noseNet new_psp3_nose_nopsaaConv PAM_Module get_new_psp3_nose_nopsaanet new_psp3_nose_nopsaa_Module new_psp3_nose_nopsaaNet new_psp3_nose_nopsaaPooling new_psp3_nose_nopsaaNetHead PSPHead PSP get_psp_resnet50_ade get_psp get_psp_att psp_att PAM_Module get_psp_att_resnet50_ade psp_attHead PAM_Module psp_att_noguideHead get_psp_att_noguide get_psp_att_noguide_resnet50_ade psp_att_noguide up_deeplabv3 ASPP_Module up_deeplabv3Head AsppPooling ASPPConv get_up_deeplabv3 up_fcn up_fcnHead get_up_fcn_resnet50_ade get_up_fcn_resnet50_pcontext get_up_fcn get_up_psp_resnet50_ade get_up_psp up_pspHead up_psp get_segmentation_model SyncMaster FutureResult SlavePipe JUM SeparableConv2d JPU_X Normalize SegmentationLosses PyramidPooling Mean JPU Encoding BatchNorm SyncBatchNorm download save_checkpoint mkdir check_sha1 LR_Scheduler SegmentationMetric batch_pix_accuracy batch_intersection_union get_mask_pallete _get_voc_pallete Options test test test Trainer parse_args download_ade download_city parse_args parse_args install_coco_api download_coco parse_args download_voc download_aug install_pcontext_api parse_args download_ade join isinstance _worker len start is_grad_enabled append range Lock list hasattr __data_parallel_replicate__ modules enumerate len print join get_path_pairs list isinstance zip fromarray uint8 asarray COLOR_BGR2RGB astype COLOR_RGB2BGR int32 randint COLOR_RGB2HSV cvtColor fromarray warpAffine asarray COLOR_BGR2RGB COLOR_RGB2BGR shape getRotationMatrix2D cvtColor fromarray uint8 asarray astype mode fromarray uint8 astype float32 clip mode print join get_path_pairs join get_path_pairs load_url ResNet load_state_dict load_url ResNet load_state_dict load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file norm_layer Sequential ReLU Conv2d NUM_CLASS gsnet6Net norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_aspp_baseNet load get_model_file load_state_dict NUM_CLASS annl_fcn norm_layer Sequential ReLU Conv2d NUM_CLASS annl_gsnetNet norm_layer Sequential ReLU Conv2d NUM_CLASS avg_gsnetNet flip_image evaluate size resize_ pad array range NUM_CLASS cfpn_gsf norm_layer Sequential ReLU Conv2d NUM_CLASS DeepLabV3 NUM_CLASS DeepLabV3plus NUM_CLASS deeplabv3_att NUM_CLASS deeplabv3_att_noguide load EncNet get_model_file load_state_dict NUM_CLASS load get_model_file load_state_dict NUM_CLASS FCN fcn_att load get_model_file load_state_dict NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS gsnet NUM_CLASS gsnet2 norm_layer Sequential ReLU Conv2d NUM_CLASS gsnet3Net norm_layer Sequential ReLU Conv2d NUM_CLASS gsnet4Net norm_layer Sequential ReLU Conv2d NUM_CLASS gsnet5Net norm_layer Sequential ReLU Conv2d NUM_CLASS gsnet7Net norm_layer Sequential ReLU Conv2d NUM_CLASS gsnet7_noseNet norm_layer Sequential ReLU Conv2d NUM_CLASS gsnet8Net NUM_CLASS gsnet_noatt NUM_CLASS gsnet_noatt_nose gsnet_noatt_nose_nopsaa NUM_CLASS NUM_CLASS gsnet_noguide NUM_CLASS gsnet_nose norm_layer Sequential ReLU Conv2d NUM_CLASS mlgsnetNet get join remove format print check_sha1 expanduser download exists makedirs join remove endswith expanduser listdir lower norm_layer Sequential ReLU Conv2d NUM_CLASS new_gsnetNet norm_layer Sequential ReLU Conv2d new_gsnet2Net NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS new_gsnet3Net norm_layer Sequential ReLU Conv2d NUM_CLASS new_gsnet4Net norm_layer Sequential ReLU Conv2d new_psp3Net NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_aspp_base_attNet norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_aspp_base_psaaNet norm_layer Sequential ReLU Conv2d new_psp3_aspp_base_psaa_attNet NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_noattNet norm_layer Sequential ReLU Conv2d new_psp3_noatt_nopsaaNet NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_noatt_noseNet norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_noatt_nose_nopsaaNet norm_layer Sequential ReLU Conv2d new_psp3_nogpNet NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_noguideNet norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_nopsaaNet norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_nopsaa_nose_nogpNet norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_noseNet norm_layer Sequential ReLU Conv2d NUM_CLASS new_psp3_nose_nopsaaNet load PSP get_model_file load_state_dict NUM_CLASS load psp_att get_model_file load_state_dict NUM_CLASS load get_model_file load_state_dict NUM_CLASS psp_att_noguide NUM_CLASS up_deeplabv3 load get_model_file up_fcn load_state_dict NUM_CLASS load up_psp get_model_file load_state_dict NUM_CLASS copyfile save makedirs get join isdir print dirname abspath expanduser makedirs sha1 makedirs sum max astype dtype max histogram astype fromarray lower astype putpalette range num_class model save_folder get_mask_pallete DataLoader get_segmentation_model save dataset cuda get_segmentation_dataset load_state_dict format model_zoo Compose eval resume zip enumerate load join SegmentationMetric print tqdm get_model makedirs save_path unsqueeze NUM_CLASS add_argument ArgumentParser join download mkdir print join mkdir download mkdir rmtree system join download mkdir join download mkdir basename move rmtree system | yougoforward/GSNet | 4,227 |
yougoforward/can | ['semantic segmentation'] | ['FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation'] | encoding/models/can2.py encoding/models/new_dpcan.py encoding/parallel.py encoding/dilated/resnet.py encoding/models/dpcan3.py encoding/models/new_can.py encoding/utils/metrics.py encoding/functions/encoding.py encoding/models/deeplabv3plus.py encoding/models/encnet.py encoding/models/new_can2.py encoding/models/psp.py encoding/functions/__init__.py encoding/nn/syncbn.py scripts/prepare_pcontext.py encoding/models/can.py encoding/models/model_store.py encoding/datasets/__init__.py encoding/nn/__init__.py encoding/models/fcn.py encoding/datasets/pascal_voc.py encoding/models/dpcan.py encoding/utils/files.py experiments/segmentation/test_whole.py encoding/utils/lr_scheduler.py encoding/datasets/pcontext60.py encoding/models/dpcan2.py encoding/datasets/cityscapes.py encoding/models/new_can4.py encoding/models/__init__.py encoding/datasets/pascal.py experiments/segmentation/test.py scripts/prepare_pascal.py encoding/utils/__init__.py scripts/prepare_cityscapes.py encoding/datasets/base.py encoding/models/model_zoo.py encoding/datasets/cocostuff.py encoding/models/can4.py experiments/segmentation/option.py encoding/models/can3.py encoding/datasets/ade20k.py encoding/datasets/pascal_aug.py encoding/datasets/coco.py experiments/segmentation/test_fps_params.py experiments/segmentation/train.py encoding/models/new_can3.py encoding/models/base.py scripts/prepare_coco.py scripts/prepare_ade20k.py experiments/segmentation/train_can.py encoding/utils/pallete.py encoding/dilated/__init__.py encoding/nn/comm.py encoding/__init__.py encoding/nn/customize.py experiments/segmentation/train_can2.py encoding/nn/encoding.py encoding/functions/syncbn.py encoding/dilated/mg_resnet.py encoding/datasets/pcontext.py experiments/segmentation/test_single_image.py encoding/models/deeplabv3.py CallbackContext allreduce AllReduce DataParallelModel _criterion_parallel_apply execute_replication_callbacks Reduce DataParallelCriterion ADE20KSegmentation _get_ade20k_pairs BaseDataset RandomRotation RandomHSV RandomContrast RandomPerm test_batchify_fn get_city_pairs CitySegmentation COCOSegmentation CocostuffSegmentation _get_cocostuff_pairs PascalSegmentation VOCAugSegmentation VOCSegmentation ContextSegmentation ContextSegmentation get_segmentation_dataset ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 ScaledL2 aggregate scaled_l2 Aggregate normalization Normalization module_inference MultiEvalModule_whole MultiEvalModule BaseNet flip_image resize_image pad_image crop_image CAM_Module CANHead ASPP_Module AsppPooling ASPPConv get_can CAN CAM_Module ASPP_Module get_can2 CAN2Head AsppPooling ASPPConv CAN2 can3Head ASPP_Module AsppPooling can3 ASPPConv get_can3 can4Head ASPP_Module get_can4 AsppPooling ASPPConv can4 get_deeplabv3 ASPP_Module DeepLabV3 AsppPooling ASPPConv DeepLabV3Head DeepLabV3plusHead ASPP_Module AsppPooling get_deeplabv3plus ASPPConv DeepLabV3plus dpcan ASPP_Module AsppPooling ASPPConv dpcanHead get_dpcan ASPP_Module AsppPooling ASPPConv dpcan2Head get_dpcan2 dpcan2 ASPP_Module dpcan3 AsppPooling dpcan3Head ASPPConv get_dpcan3 EncHead get_encnet_resnet101_ade EncNet get_encnet_resnet50_ade EncModule get_encnet_resnet101_pcontext get_encnet_resnet152_ade get_encnet get_encnet_resnet50_pcontext get_fcn_resnet50_pcontext FCNHead get_fcn_resnet50_ade FCN get_fcn get_model_file short_hash purge pretrained_model_list get_model new_can ASPP_Module get_new_can AsppPooling ASPPConv new_canHead ASPP_Module AsppPooling ASPPConv new_can2 new_can2Head get_new_can2 localUp ASPP_Module get_new_can3 AsppPooling ASPPConv new_can3 new_can3Head get_new_can4 new_can4 fcn_fpnHead localUp ASPP_Module AsppPooling new_can4Head ASPPConv get_new_dpcan ASPP_Module new_dpcanHead AsppPooling ASPPConv new_dpcan PSPHead PSP get_psp_resnet50_ade get_psp get_segmentation_model SyncMaster FutureResult SlavePipe SegmentationLosses3 JUM SegmentationLosses2 SeparableConv2d JPU_X Normalize SegmentationLosses PyramidPooling Mean JPU Encoding BatchNorm SyncBatchNorm download save_checkpoint mkdir check_sha1 LR_Scheduler SegmentationMetric batch_pix_accuracy batch_intersection_union get_mask_pallete _get_voc_pallete Options test test test Trainer Trainer Trainer parse_args download_ade download_city parse_args parse_args install_coco_api download_coco parse_args download_voc download_aug install_pcontext_api parse_args download_ade join isinstance _worker len start is_grad_enabled append range Lock list hasattr __data_parallel_replicate__ modules enumerate len print join get_path_pairs list isinstance zip fromarray uint8 asarray COLOR_BGR2RGB astype COLOR_RGB2BGR int32 randint COLOR_RGB2HSV cvtColor fromarray warpAffine asarray COLOR_BGR2RGB COLOR_RGB2BGR shape getRotationMatrix2D cvtColor fromarray uint8 asarray astype mode fromarray uint8 astype float32 clip mode print join get_path_pairs join get_path_pairs load_url ResNet load_state_dict load_url ResNet load_state_dict load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file flip_image evaluate size resize_ pad array range norm_layer Sequential ReLU Conv2d NUM_CLASS CAN NUM_CLASS CAN2 NUM_CLASS can3 NUM_CLASS can4 NUM_CLASS DeepLabV3 NUM_CLASS DeepLabV3plus NUM_CLASS dpcan NUM_CLASS dpcan2 NUM_CLASS dpcan3 load EncNet get_model_file load_state_dict NUM_CLASS load get_model_file load_state_dict NUM_CLASS FCN get join remove format print check_sha1 expanduser download exists makedirs join remove endswith expanduser listdir lower NUM_CLASS new_can NUM_CLASS new_can2 new_can3 NUM_CLASS new_can4 NUM_CLASS NUM_CLASS new_dpcan load PSP get_model_file load_state_dict NUM_CLASS copyfile save makedirs get join isdir print dirname abspath expanduser makedirs sha1 makedirs sum max astype dtype max histogram astype fromarray lower astype putpalette range num_class model save_folder get_mask_pallete DataLoader get_segmentation_model save dataset cuda get_segmentation_dataset load_state_dict format model_zoo Compose eval resume zip enumerate load join SegmentationMetric print tqdm get_model makedirs save_path unsqueeze NUM_CLASS add_argument ArgumentParser join download mkdir print join mkdir download mkdir rmtree system join download mkdir join download mkdir basename move rmtree system | yougoforward/can | 4,228 |
yougoforward/cfpn_gsf | ['semantic segmentation'] | ['FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation'] | encoding/models/cfpn_gsf_valconv.py encoding/models/fpn_aspp.py encoding/models/encnet.py encoding/models/cfpn_pam.py encoding/models/fcn.py encoding/utils/files.py encoding/models/fpn_gp3.py encoding/models/fpn_cfpn9.py encoding/models/fpn_cfpn3x3d4.py scripts/prepare_cityscapes.py encoding/models/pam.py encoding/datasets/cocostuff.py encoding/models/fpn3x3.py encoding/datasets/coco.py encoding/models/fpn_cfpn3x3d1.py encoding/models/cfpn_gsf41.py encoding/models/fpn_psp.py encoding/utils/pallete.py encoding/nn/customize.py encoding/nn/encoding.py encoding/models/cfpn_add.py scripts/prepare_pcontext.py encoding/models/fpn.py encoding/models/fpn_pam.py encoding/nn/__init__.py experiments/segmentation/test_whole.py encoding/datasets/cityscapes.py encoding/models/__init__.py experiments/segmentation/test.py encoding/models/cfpn_3b.py encoding/models/cfpn_gsf4.py encoding/models/model_zoo.py encoding/models/cfpn_gsf42.py encoding/models/cfpn4.py experiments/segmentation/option.py encoding/models/cfpn_cat3x3.py experiments/segmentation/train.py encoding/models/cfpn3x3.py encoding/nn/comm.py encoding/__init__.py encoding/models/fpn_resup.py encoding/models/cfpn_1b.py encoding/models/cfpn_dpcn.py encoding/models/deeplabv3.py encoding/models/cfpn.py encoding/dilated/resnet.py encoding/models/fpn_gp2.py encoding/functions/encoding.py encoding/nn/syncbn.py encoding/models/psp.py encoding/functions/__init__.py encoding/models/fpn_gp.py encoding/models/cfpn_cat3x3add3x3.py encoding/models/cfpn_gsf5.py encoding/models/fpn_gff.py encoding/models/cfpn_add3x3.py scripts/prepare_pascal.py encoding/utils/__init__.py encoding/models/cfpn_3x3.py encoding/datasets/base.py encoding/models/cfpn_gsf.py encoding/models/fpn_add3x3.py encoding/models/fpn_cfpn.py encoding/models/base.py scripts/prepare_coco.py scripts/prepare_ade20k.py encoding/models/cfpn3.py encoding/models/cfpn_dcn.py encoding/models/dfcn.py encoding/functions/syncbn.py encoding/datasets/pcontext.py experiments/segmentation/test_single_image.py encoding/parallel.py encoding/utils/metrics.py encoding/models/fpn_cfpn3x3d2.py encoding/models/model_store.py encoding/datasets/__init__.py encoding/models/fpn_cat3x3.py encoding/models/fpn_cfpn3x3.py encoding/datasets/pascal_voc.py encoding/models/cfpn_pool.py encoding/utils/lr_scheduler.py encoding/models/cfpn2.py encoding/models/fpn_cat3x3_aspp.py encoding/models/cfpn_gsf6.py encoding/models/cfpn_gsf2.py encoding/datasets/ade20k.py encoding/datasets/pascal_aug.py experiments/segmentation/test_fps_params.py encoding/models/cfpn_nogp.py encoding/dilated/__init__.py encoding/models/fpn_gp4.py encoding/models/cfpn_gsf3.py encoding/models/dcn.py CallbackContext allreduce AllReduce DataParallelModel _criterion_parallel_apply execute_replication_callbacks Reduce DataParallelCriterion ADE20KSegmentation _get_ade20k_pairs BaseDataset test_batchify_fn get_city_pairs CitySegmentation COCOSegmentation CocostuffSegmentation _get_cocostuff_pairs VOCAugSegmentation VOCSegmentation ContextSegmentation get_segmentation_dataset ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 ScaledL2 aggregate scaled_l2 Aggregate normalization Normalization PAM_Module localUp cfpn_gsf3Head get_cfpn_gsf3 cfpn_gsf3 Context fpn_cat3x3Head fpn_cat3x3 get_fpn_cat3x3 localUp module_inference MultiEvalModule_whole MultiEvalModule BaseNet flip_image resize_image pad_image crop_image get_cfpn PAM_Module localUp cfpnHead cfpn Context PAM_Module localUp cfpn2Head cfpn2 Context get_cfpn2 PAM_Module localUp get_cfpn3 cfpn3 cfpn3Head Context PAM_Module localUp cfpn3x3Head cfpn3x3 get_cfpn3x3 Context Context3 PAM_Module localUp cfpn4Head get_cfpn4 cfpn4 Context get_cfpn_1b cfpn_1bHead PAM_Module localUp cfpn_1b Context cfpn_3bHead PAM_Module localUp cfpn_3b get_cfpn_3b Context get_cfpn_3x3 PAM_Module localUp cfpn_3x3 cfpn_3x3Head Context PAM_Module localUp cfpn_add cfpn_addHead get_cfpn_add Context cfpn_add3x3 get_cfpn_add3x3 localUp PAM_Module cfpn_add3x3Head Context cfpn_cat3x3Head PAM_Module localUp get_cfpn_cat3x3 cfpn_cat3x3 Context PAM_Module localUp cfpn_cat3x3add3x3Head cfpn_cat3x3add3x3 get_cfpn_cat3x3add3x3 Context PAM_Module localUp get_cfpn_dcn cfpn_dcnHead cfpn_dcn Context cfpn_dpcnHead PAM_Module localUp SeparableConv2d get_cfpn_dpcn cfpn_dpcn Context cfpn_gsf PAM_Module localUp cfpn_gsfHead get_cfpn_gsf Context PAM_Module localUp cfpn_gsf2 Context pgc2 Context2 cfpn_gsf2Head pgc get_cfpn_gsf2 get_cfpn_gsf4 PAM_Module localUp ASPP_Module cfpn_gsf4 ASPPConv cfpn_gsf4Head Context cfpn_gsf41Head cfpn_gsf41 PAM_Module localUp Context get_cfpn_gsf41 PAM_Module localUp cfpn_gsf42Head get_cfpn_gsf42 cfpn_gsf42 Context PAM_Module localUp cfpn_gsf5 ASPP_Module cfpn_gsf5Head get_cfpn_gsf5 Context PAM_Module localUp cfpn_gsf6 cfpn_gsf6Head get_cfpn_gsf6 Context cfpn_gsf_valconv cfpn_gsf_valconvHead PAM_Module localUp get_cfpn_gsf_valconv ori_PAM_Module Context get_cfpn_nogp PAM_Module localUp cfpn_nogp cfpn_nogpHead Context cfpn_pam PAM_Module localUp cfpn_pamHead ori_PAM_Module Context get_cfpn_pam get_cfpn PAM_Module localUp cfpnHead cfpn Context _NewEmptyTensorOp Conv2d DFConv2d interpolate BatchNorm2d ConvTranspose2d ASPP_Module DeepLabV3 get_deeplab AsppPooling ASPPConv DeepLabV3Head dfcnHead get_dfcn_resnet50_ade get_dfcn_resnet50_pcontext get_dfcn dfcn EncHead get_encnet_resnet101_ade EncNet get_encnet_resnet50_ade EncModule get_encnet_resnet101_pcontext get_encnet_resnet152_ade get_encnet get_encnet_resnet50_pcontext get_fcn_resnet50_pcontext FCNHead get_fcn_resnet50_ade FCN get_fcn localUp get_fpn fpnHead fpn fpn3x3Head localUp fpn3x3 get_fpn3x3 localUp get_fpn_add3x3 fpn_add3x3Head fpn_add3x3 fpn_aspp localUp fpn_asppHead ASPP_Module AsppPooling ASPPConv get_fpn_aspp localUp fpn_cat3x3_aspp ASPP_Module get_fpn_cat3x3_aspp AsppPooling ASPPConv fpn_cat3x3_asppHead fpn_cfpn localUp PAM_Module get_fpn_cfpn Context fpn_cfpnHead PAM_Module localUp get_fpn_cfpn3x3 fpn_cfpn3x3 fpn_cfpn3x3Head Context fpn_cfpn3x3d1Head PAM_Module localUp fpn_cfpn3x3d1 get_fpn_cfpn3x3d1 Context get_fpn_cfpn3x3d2 fpn_cfpn3x3d2Head PAM_Module localUp fpn_cfpn3x3d2 Context fpn_cfpn3x3d4 get_fpn_cfpn3x3d4 PAM_Module localUp fpn_cfpn3x3d4Head Context Context4 localUp PAM_Module fpn_cfpn9 get_fpn_cfpn9 Context2 fpn_cfpn9Head Context3 fpn_gffHead PAM_Module localUp ori_PAM_Module fpn_gff get_fpn_gff localUp fpn_gpHead get_fpn_gp fpn_gp localUp fpn_gp2 fpn_gp2Head get_fpn_gp2 localUp fpn_gp3 fpn_gp3Head get_fpn_gp3 localUp fpn_gp4 fpn_gp4Head get_fpn_gp4 fpn_pam localUp fpn_pamHead ori_PAM_Module get_fpn_pam localUp fpn_pspHead get_fpn_psp fpn_psp fpn_resup get_fpn_resup localUp fpn_resupHead get_model_file short_hash purge pretrained_model_list get_model pamHead pam ori_PAM_Module get_pam PSPHead PSP get_psp_resnet50_ade get_psp get_segmentation_model SyncMaster FutureResult SlavePipe JUM JUM3 SeparableConv2d JPU_X JUM2 Normalize SegmentationLosses PyramidPooling Mean JPU Encoding BatchNorm SyncBatchNorm download save_checkpoint mkdir check_sha1 LR_Scheduler SegmentationMetric batch_pix_accuracy batch_intersection_union get_mask_pallete _get_voc_pallete Options test test test Trainer parse_args download_ade download_city parse_args parse_args install_coco_api download_coco parse_args download_voc download_aug install_pcontext_api parse_args download_ade join isinstance _worker len start is_grad_enabled append range Lock list hasattr __data_parallel_replicate__ modules enumerate len print join get_path_pairs list isinstance zip print join get_path_pairs join get_path_pairs load_url ResNet load_state_dict load_url ResNet load_state_dict load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file NUM_CLASS cfpn_gsf3 NUM_CLASS fpn_cat3x3 flip_image evaluate size resize_ pad array range NUM_CLASS cfpn NUM_CLASS cfpn2 NUM_CLASS cfpn3 NUM_CLASS cfpn3x3 NUM_CLASS cfpn4 NUM_CLASS cfpn_1b NUM_CLASS cfpn_3b NUM_CLASS cfpn_3x3 NUM_CLASS cfpn_add NUM_CLASS cfpn_add3x3 NUM_CLASS cfpn_cat3x3 NUM_CLASS cfpn_cat3x3add3x3 NUM_CLASS cfpn_dcn NUM_CLASS cfpn_dpcn NUM_CLASS cfpn_gsf NUM_CLASS cfpn_gsf2 NUM_CLASS cfpn_gsf4 norm_layer Sequential ReLU Conv2d NUM_CLASS cfpn_gsf41 NUM_CLASS cfpn_gsf42 NUM_CLASS cfpn_gsf5 NUM_CLASS cfpn_gsf6 NUM_CLASS cfpn_gsf_valconv NUM_CLASS cfpn_nogp NUM_CLASS cfpn_pam _output_size tuple NUM_CLASS DeepLabV3 load get_model_file load_state_dict NUM_CLASS dfcn load EncNet get_model_file load_state_dict NUM_CLASS load get_model_file load_state_dict NUM_CLASS FCN NUM_CLASS fpn NUM_CLASS fpn3x3 NUM_CLASS fpn_add3x3 NUM_CLASS fpn_aspp NUM_CLASS fpn_cat3x3_aspp NUM_CLASS fpn_cfpn NUM_CLASS fpn_cfpn3x3 NUM_CLASS fpn_cfpn3x3d1 NUM_CLASS fpn_cfpn3x3d2 fpn_cfpn3x3d4 NUM_CLASS fpn_cfpn9 NUM_CLASS NUM_CLASS fpn_gff NUM_CLASS fpn_gp NUM_CLASS fpn_gp2 NUM_CLASS fpn_gp3 NUM_CLASS fpn_gp4 NUM_CLASS fpn_pam NUM_CLASS fpn_psp fpn_resup NUM_CLASS get join remove format print check_sha1 expanduser download exists makedirs join remove endswith expanduser listdir lower NUM_CLASS pam load PSP get_model_file load_state_dict NUM_CLASS copyfile save makedirs get join isdir print dirname abspath expanduser makedirs sha1 makedirs sum max astype dtype max histogram astype fromarray lower astype putpalette range num_class model save_folder get_mask_pallete DataLoader get_segmentation_model save dataset cuda get_segmentation_dataset load_state_dict format model_zoo Compose eval resume zip enumerate load join SegmentationMetric print tqdm get_model makedirs save_path unsqueeze NUM_CLASS add_argument ArgumentParser join download mkdir print join mkdir download mkdir rmtree system join download mkdir join download mkdir basename move rmtree system | yougoforward/cfpn_gsf | 4,229 |
yougoforward/localUp | ['semantic segmentation'] | ['FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation'] | encoding/nn/config.py encoding/models/encnet.py encoding/models/up_fcn_3x3_s16.py encoding/models/fcn.py encoding/models/dpcan.py encoding/utils/files.py encoding/datasets/ade20k_preload.py encoding/datasets/blur_2.py encoding/models/gsnet.py encoding/models/up_fcn_dilation_s8plus.py scripts/prepare_cityscapes.py encoding/nn/attr_dict.py encoding/datasets/cocostuff.py encoding/models/blur_dfpn_gsf.py encoding/models/dfpn.py encoding/models/dfpn10_gsf.py encoding/datasets/coco.py encoding/models/fpn_psp.py encoding/utils/pallete.py encoding/models/jpux_gsf.py encoding/nn/customize.py encoding/nn/encoding.py encoding/models/fcn_fpn_256.py encoding/datasets/pascal.py encoding/models/fcn_fpn_s4.py encoding/models/fcn_fpn_nobn.py scripts/prepare_pcontext.py encoding/models/jpux_gsf_oc.py encoding/models/dfpn7_gsf.py encoding/nn/label_relax_transforms.py encoding/nn/__init__.py encoding/nn/BoundaryLabelRelaxationLoss.py experiments/segmentation/test_whole.py encoding/models/dfpn9_gsf.py encoding/models/dfpn74_gsf.py encoding/models/up_psp.py encoding/datasets/sea_707.py encoding/datasets/pcontext60.py experiments/segmentation/train_apex.py encoding/datasets/cityscapes.py encoding/models/__init__.py experiments/segmentation/test.py encoding/models/dfpn2.py encoding/datasets/cocostuff_stats.py encoding/models/fcn_fpn_2048.py encoding/models/model_zoo.py encoding/models/up_fcn_3x3_s4.py encoding/models/dfpn2_gsf.py experiments/segmentation/option.py experiments/segmentation/train.py encoding/models/up_fcn_5x5_s16.py experiments/segmentation/train_focal.py experiments/segmentation/train_blur.py encoding/nn/comm.py encoding/__init__.py encoding/models/up_fcn_3x3_s8.py encoding/models/dfpn4.py encoding/models/up_fcn_2048.py encoding/models/up_fcn.py encoding/models/up_gsnet.py encoding/models/up_fcn_5x5_s8.py encoding/models/fpn2_gsnet.py encoding/models/deeplabv3.py encoding/models/cfpn.py encoding/models/up_enc.py encoding/dilated/resnet.py encoding/functions/encoding.py encoding/models/deeplabv3plus.py encoding/models/fpn_gsnet.py encoding/nn/syncbn.py encoding/models/pano_fpn.py encoding/datasets/blur_3.py encoding/functions/__init__.py encoding/models/psp.py encoding/models/up_fcn_3x3_s4_dilation.py encoding/models/new_psp3.py encoding/models/blur_detect.py encoding/models/fcn_fpn.py scripts/prepare_pascal.py experiments/segmentation/train_oc.py encoding/utils/__init__.py encoding/datasets/base.py encoding/models/cfpn_gsf.py encoding/models/fcn_fpn2.py encoding/models/dfpn72_gsf.py encoding/models/fcn_fpn_s16.py encoding/models/dfpn3_gsf.py encoding/models/dfpn61_gsf.py encoding/models/base.py scripts/prepare_coco.py scripts/prepare_ade20k.py encoding/models/up_fcn_com.py encoding/datasets/pcontext_stats.py encoding/functions/syncbn.py encoding/dilated/mg_resnet.py encoding/datasets/pcontext.py experiments/segmentation/test_single_image.py encoding/parallel.py encoding/utils/metrics.py encoding/models/apnb.py encoding/datasets/ade20k_stats.py encoding/models/model_store.py encoding/datasets/__init__.py encoding/datasets/pascal_voc.py encoding/models/up_fcn_5x5_s4.py encoding/models/up_fcn_dilation_v3.py encoding/utils/lr_scheduler.py encoding/datasets/cocostuff_preload.py encoding/models/up_fcn_dilation_v2.py encoding/models/dfpn4_gsf.py encoding/models/up_fcn_3x3_s4_dilation_256.py encoding/models/dfpn8_gsf.py encoding/models/up_deeplabv3.py encoding/models/dfpn71_gsf.py encoding/models/dfpn6_gsf.py encoding/datasets/ade20k.py encoding/datasets/pascal_aug.py experiments/segmentation/test_fps_params.py encoding/datasets/focus_shi.py encoding/models/jpu_gsf.py encoding/dilated/__init__.py encoding/models/up_fcn_dilation.py encoding/models/dfpn3.py encoding/models/dfpn_gsf.py encoding/models/fpn3x3_gsnet.py encoding/models/dfpn5_gsf.py encoding/models/fpn_enc.py encoding/models/dfpn73_gsf.py CallbackContext allreduce AllReduce DataParallelModel _criterion_parallel_apply execute_replication_callbacks Reduce DataParallelCriterion ADE20KSegmentation _get_ade20k_pairs ADE20KSegmentation _get_ade20k_pairs ADE20KSegmentation _get_ade20k_pairs BaseDataset RandomRotation RandomHSV RandomContrast RandomPerm test_batchify_fn Blur2Segmentation Blur3Segmentation get_city_pairs CitySegmentation COCOSegmentation CocostuffSegmentation _get_cocostuff_pairs CocostuffSegmentation _get_cocostuff_pairs CocostuffSegmentation _get_cocostuff_pairs RandomRotation RandomContrast RandomHSV RandomPerm Blur2Segmentation VOCSegmentation VOCAugSegmentation VOCSegmentation ContextSegmentation ContextSegmentation60 ContextSegmentation SeaSegmentation get_segmentation_dataset ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 ScaledL2 aggregate scaled_l2 Aggregate normalization Normalization dfpn61_gsfHead PAM_Module localUp get_dfpn61_gsf dfpn61_gsf Context localUp fcn_fpn_s4Head fcn_fpn_s4 get_fcn_fpn_s4 PSPModule SelfAttentionBlock2D APNB _SelfAttentionBlock module_inference MultiEvalModule_whole MultiEvalModule BaseNet flip_image resize_image pad_image crop_image PAM_Module localUp ASPP_Module get_blur_detect AsppPooling DenseASPP ASPPConv blur_detectHead blur_detect PAM_Module localUp blur_dfpn_gsfHead blur_dfpn_gsf get_blur_dfpn_gsf get_cfpn PAM_Module localUp Context cfpnHead cfpn localUp2 cfpn_gsf PAM_Module localUp Context localUp3 cfpn_gsfHead get_cfpn_gsf localUp2 get_deeplabv3 ASPP_Module DeepLabV3 AsppPooling ASPPConv DeepLabV3Head DeepLabV3plusHead ASPP_Module AsppPooling get_deeplabv3plus ASPPConv DeepLabV3plus dfpnHead PAM_Module localUp Bottleneck dfpn get_dfpn localUp2 dfpn10_gsfHead dfpn10_gsf PAM_Module localUp get_dfpn10_gsf get_dfpn2 PAM_Module dfpn2Head localUp Bottleneck dfpn2 localUp2 dfpn2_gsfHead PAM_Module localUp get_dfpn2_gsf Bottleneck dfpn2_gsf dfpn3 PAM_Module localUp get_dfpn3 dfpn3Head get_dfpn3_gsf PAM_Module localUp dfpn3_gsfHead Bottleneck dfpn3_gsf dfpn4 PAM_Module localUp get_dfpn4 dfpn4Head PAM_Module localUp get_dfpn4_gsf dfpn4_gsfHead dfpn4_gsf PAM_Module localUp dfpn5_gsfHead dfpn5_gsf Bottleneck get_dfpn5_gsf PAM_Module localUp dfpn6_gsf dfpn6_gsfHead get_dfpn6_gsf PAM_Module localUp get_dfpn71_gsf dfpn71_gsfHead dfpn71_gsf dfpn72_gsf PAM_Module localUp get_dfpn72_gsf CLF_Module dfpn72_gsfHead dfpn73_gsfHead dfpn73_gsf PAM_Module localUp PSPModule CLF_Module get_dfpn73_gsf PAM_Module localUp dfpn74_gsf get_dfpn74_gsf dfpn74_gsfHead CLF_Module PAM_Module dfpn7_gsfHead localUp get_dfpn7_gsf dfpn7_gsf dfpn8_gsf get_dfpn8_gsf PAM_Module localUp dfpn8_gsfHead PAM_Module dfpn9_gsfHead localUp get_dfpn9_gsf Bottleneck dfpn9_gsf get_dfpn_gsf dfpn_gsf PAM_Module localUp dfpn_gsfHead Bottleneck dpcan ASPP_Module AsppPooling ASPPConv dpcanHead get_dpcan EncHead get_encnet_resnet101_ade EncNet get_encnet_resnet50_ade EncModule get_encnet_resnet101_pcontext get_encnet_resnet152_ade get_encnet get_encnet_resnet50_pcontext get_fcn_resnet50_pcontext FCNHead get_fcn_resnet50_ade FCN get_fcn localUp fcn_fpnHead fcn_fpn get_fcn_fpn localUp fcn_fpn2Head get_fcn_fpn2 fcn_fpn2 localUp get_fcn_fpn_2048 fcn_fpn_2048 fcn_fpn_2048Head localUp fcn_fpn_256 get_fcn_fpn_256 fcn_fpn_256Head fcn_fpn_nobnHead fcn_fpn_nobn localUp get_fcn_fpn_nobn localUp fcn_fpn_s16 get_fcn_fpn_s16 fcn_fpn_s16Head fpn2_gsnet get_fpn2_gsnet GSF_Module gsnetConv PAM_Module localUp fpn2_gsnetHead gsnetPooling fpn3x3_gsnet GSF_Module gsnetConv PAM_Module localUp get_fpn3x3_gsnet fpn3x3_gsnetHead gsnetPooling get_fpn_enc_resnet152_ade get_fpn_enc get_fpn_enc_resnet50_pcontext EncHead localUp EncModule get_fpn_enc_resnet101_ade get_fpn_enc_resnet101_pcontext fpn_enc get_fpn_enc_resnet50_ade GSF_Module gsnetConv PAM_Module localUp get_fpn_gsnet fpn_gsnetHead fpn_gsnet gsnetPooling get_fpn_psp localUp fpn_pspHead get_fpn_psp_resnet50_ade fpn_psp PyramidPooling get_gsnetnet gsnetConv gsnetNet PAM_Module gsnet_Module gsnetNetHead gsnetPooling JUM gsnetConv PAM_Module get_jpux_gsf SeparableConv2d JPU_X jpux_gsfHead jpux_gsf JPU JUM get_jpux_gsf_oc gsnetConv PAM_Module SeparableConv2d JPU_X jpux_gsf_ocHead ocr_Module JPU jpux_gsf_oc JUM get_jpu_gsf gsnetConv jpu_gsf PAM_Module SeparableConv2d JPU_X jpu_gsfHead JPU get_model_file short_hash purge pretrained_model_list get_model new_psp3NetHead new_psp3_Module new_psp3Conv new_psp3Net PAM_Module get_new_psp3net new_psp3Pooling localUp get_pano_fpn pfpn pano_fpn pano_fpnHead PSPHead PSP get_psp_resnet50_ade get_psp up_deeplabv3 ASPP_Module up_deeplabv3Head AsppPooling ASPPConv get_up_deeplabv3 get_up_enc_resnet101_ade EncHead localUp get_up_enc_resnet101_pcontext EncModule get_up_enc_resnet50_ade up_enc get_up_enc_resnet152_ade get_up_enc get_up_enc_resnet50_pcontext localUp up_fcn up_fcnHead get_up_fcn up_fcn_2048 localUp up_fcn_2048Head get_up_fcn_2048 localUp get_up_fcn_3x3_s16 up_fcn_3x3_s16 up_fcn_3x3_s16Head localUp up_fcn_3x3_s4 up_fcn_3x3_s4Head get_up_fcn_3x3_s4 up_fcn_3x3_s4_dilationHead localUp up_fcn_3x3_s4_dilation get_up_fcn_3x3_s4_dilation localUp2 up_fcn_3x3_s4_dilation_256 up_fcn_3x3_s4_dilation_256Head get_up_fcn_3x3_s4_dilation_256 localUp localUp up_fcn_3x3_s8Head up_fcn_3x3_s8 get_up_fcn_3x3_s8 up_fcn_5x5_s16 get_up_fcn_5x5_s16 up_fcn_5x5_s16Head localUp localUp up_fcn_5x5_s4Head get_up_fcn_5x5_s4 up_fcn_5x5_s4 up_fcn_5x5_s8 localUp up_fcn_5x5_s8Head get_up_fcn_5x5_s8 localUp get_up_fcn_com up_fcn_comHead up_fcn_com localUp get_up_fcn_dilation up_fcn_dilationHead up_fcn_dilation localUp up_fcn_dilation_s8plus up_fcn_dilation_s8plusHead get_up_fcn_dilation_s8plus localUp get_up_fcn_dilation_v2 up_fcn_dilation_v2Head up_fcn_dilation_v2 localUp get_up_fcn_dilation_v3 up_fcn_dilation_v3Head up_fcn_dilation_v3 get_up_gsnet up_gsnet GSF_Module gsnetConv PAM_Module localUp up_gsnetHead gsnetPooling get_up_psp_resnet50_ade up_pspHead up_psp localUp get_up_psp PyramidPooling get_segmentation_model AttrDict get_loss ImageBasedCrossEntropyLoss2d CrossEntropyLoss2d customsoftmax ImgWtLossSoftNLL SyncMaster FutureResult SlavePipe assert_and_infer_cfg Focal_SegmentationLosses JUM SegmentationLosses_contour SegmentationLosses_contour_BoundaryRelax SegmentationLosses_oc SeparableConv2d JPU_X Normalize SegmentationLosses PyramidPooling FocalLoss Mean JPU Encoding DeNormalize ResizeHeight adjust_saturation RandomBilateralBlur adjust_hue FreeScale RelaxedBoundaryLossToTensor RandomVerticalFlip RandomGaussianBlur FlipChannels adjust_brightness _is_pil_image MaskToTensor adjust_contrast ColorJitter BatchNorm SyncBatchNorm download save_checkpoint mkdir check_sha1 LR_Scheduler SegmentationMetric batch_pix_accuracy batch_intersection_union get_mask_pallete _get_voc_pallete Options test test test Trainer Trainer Trainer Trainer Trainer parse_args download_ade download_city parse_args parse_args install_coco_api download_coco parse_args download_voc download_aug install_pcontext_api parse_args download_ade join isinstance _worker len start is_grad_enabled append range Lock list hasattr __data_parallel_replicate__ modules enumerate len print join get_path_pairs list isinstance zip fromarray uint8 asarray COLOR_BGR2RGB astype COLOR_RGB2BGR int32 randint COLOR_RGB2HSV cvtColor fromarray warpAffine asarray COLOR_BGR2RGB COLOR_RGB2BGR shape getRotationMatrix2D cvtColor fromarray uint8 asarray astype mode fromarray uint8 astype float32 clip mode print join get_path_pairs join get_path_pairs randint load_url ResNet load_state_dict load_url ResNet load_state_dict load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file NUM_CLASS dfpn61_gsf load fcn_fpn_s4 get_model_file load_state_dict NUM_CLASS flip_image evaluate size resize_ pad array range norm_layer Sequential ReLU Conv2d load get_model_file load_state_dict NUM_CLASS blur_detect blur_dfpn_gsf NUM_CLASS NUM_CLASS cfpn NUM_CLASS cfpn_gsf NUM_CLASS DeepLabV3 NUM_CLASS DeepLabV3plus NUM_CLASS dfpn NUM_CLASS dfpn10_gsf NUM_CLASS dfpn2 NUM_CLASS dfpn2_gsf NUM_CLASS dfpn3 NUM_CLASS dfpn3_gsf NUM_CLASS dfpn4 NUM_CLASS dfpn4_gsf NUM_CLASS dfpn5_gsf NUM_CLASS dfpn6_gsf NUM_CLASS dfpn71_gsf NUM_CLASS dfpn72_gsf NUM_CLASS dfpn73_gsf NUM_CLASS dfpn74_gsf NUM_CLASS dfpn7_gsf NUM_CLASS dfpn8_gsf NUM_CLASS dfpn9_gsf NUM_CLASS dfpn_gsf NUM_CLASS dpcan load EncNet get_model_file load_state_dict NUM_CLASS load get_model_file load_state_dict NUM_CLASS FCN load fcn_fpn get_model_file load_state_dict NUM_CLASS load get_model_file load_state_dict NUM_CLASS fcn_fpn2 load get_model_file load_state_dict fcn_fpn_2048 NUM_CLASS load get_model_file fcn_fpn_256 load_state_dict NUM_CLASS load get_model_file fcn_fpn_nobn load_state_dict NUM_CLASS load get_model_file fcn_fpn_s16 load_state_dict NUM_CLASS norm_layer Sequential ReLU Conv2d NUM_CLASS fpn2_gsnet fpn3x3_gsnet NUM_CLASS load get_model_file load_state_dict NUM_CLASS fpn_enc NUM_CLASS fpn_gsnet load get_model_file load_state_dict fpn_psp NUM_CLASS NUM_CLASS gsnetNet NUM_CLASS jpux_gsf NUM_CLASS jpux_gsf_oc NUM_CLASS jpu_gsf get join remove format print check_sha1 expanduser download exists makedirs join remove endswith expanduser listdir lower norm_layer Sequential ReLU Conv2d new_psp3Net NUM_CLASS load get_model_file load_state_dict NUM_CLASS pano_fpn load PSP get_model_file load_state_dict NUM_CLASS NUM_CLASS up_deeplabv3 load get_model_file up_enc load_state_dict NUM_CLASS load get_model_file up_fcn load_state_dict NUM_CLASS load up_fcn_2048 get_model_file load_state_dict NUM_CLASS load get_model_file load_state_dict NUM_CLASS up_fcn_3x3_s16 load get_model_file up_fcn_3x3_s4 load_state_dict NUM_CLASS load get_model_file up_fcn_3x3_s4_dilation load_state_dict NUM_CLASS load up_fcn_3x3_s4_dilation_256 get_model_file load_state_dict NUM_CLASS load up_fcn_3x3_s8 get_model_file load_state_dict NUM_CLASS load get_model_file up_fcn_5x5_s16 load_state_dict NUM_CLASS load get_model_file up_fcn_5x5_s4 load_state_dict NUM_CLASS load get_model_file up_fcn_5x5_s8 load_state_dict NUM_CLASS load get_model_file up_fcn_com load_state_dict NUM_CLASS load get_model_file load_state_dict up_fcn_dilation NUM_CLASS load get_model_file load_state_dict NUM_CLASS up_fcn_dilation_s8plus load get_model_file up_fcn_dilation_v2 load_state_dict NUM_CLASS load up_fcn_dilation_v3 get_model_file load_state_dict NUM_CLASS NUM_CLASS up_gsnet load up_psp get_model_file load_state_dict NUM_CLASS jointwtborder cuda img_wt_loss softmax batch_weighting apex jointwtborder print class_uniform_pct immutable rlx_off_epoch BatchNorm2d SyncBatchNorm Brightness enhance enhance Contrast Color enhance fromarray convert mode array split copyfile save makedirs get join isdir print dirname abspath expanduser makedirs sha1 makedirs sum max astype dtype max histogram astype fromarray lower astype putpalette range num_class model save_folder get_mask_pallete DataLoader get_segmentation_model save dataset cuda get_segmentation_dataset load_state_dict format model_zoo Compose eval resume zip enumerate load join SegmentationMetric print tqdm get_model makedirs save_path unsqueeze NUM_CLASS fromarray astype uint8 add_argument ArgumentParser join download mkdir print join mkdir download mkdir rmtree system join download mkdir join download mkdir basename move rmtree system | yougoforward/localUp | 4,230 |
youngminPIL/AutoLR | ['image retrieval'] | ['AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks'] | train.py model_AutoLR.py prepare_cub.py util/weight_variation_AutoLR.py test_embedded.py ClassBlock ft_net weights_init_classifier ft_net_stride_4_1 ClassBlock_mid ft_net_4_1 weights_init_kaiming get_id_car extract_feature get_id_reid evaluate Get_test_results_single extract_feature_triplehead compute_mAP extract_feature_2head pairwise_similarity get_id normalize_single extract_feature_multi get_id_product extract_feature_doublehead normalize Recall_at_ks fliplr to_numpy get_score train_model optimizer_binding isSort adjustLR save_network load_network_path train_1epoch save_network_trial get_lr weva2index get_size_scalarFC compute_weight_variation get_size_scalar data constant normal_ kaiming_normal_ __name__ constant_ data normal_ __name__ constant_ extract_feature asarray pairwise_similarity size get_id imgs eye append train Recall_at_ks setdiff1d view compute_mAP argsort intersect1d numpy argwhere cpu mm append flatten argwhere in1d zero_ range len index_select long norm FloatTensor Variable model size div cuda zero_ expand_as cpu fliplr range cat FloatTensor Variable size cuda zero_ normalize fliplr range cat len FloatTensor Variable model size cuda zero_ append normalize dataset fliplr range cat len FloatTensor Variable model size cuda zero_ append normalize dataset fliplr range cat len norm FloatTensor Variable model size div cuda zero_ expand_as cpu fliplr range cat div norm expand_as div norm expand_as t normalize mm append int append int append int append int is_tensor int list asarray zeros shuffle dict shape to_numpy sum max range enumerate len data deepcopy max compute_weight_variation criterion modelB Variable backward zero_grad step cuda get_score weva2index enumerate int format print min min_f max_f append max range len append param_groups range len parameters list map SGD round append get_lr range format optimizer_binding insert isSort log_value save_network float deepcopy time join Get_test_results_single print adjustLR train_1epoch train len join save is_available cuda state_dict join save is_available cuda state_dict load load_state_dict size size layer1 norm layer3 range layer4 layer2 numpy cpu weight get_size_scalar append len | youngminPIL/AutoLR | 4,231 |
yoyololicon/constant-memory-waveglow | ['speech synthesis'] | ['WaveGlow: A Flow-based Generative Network for Speech Synthesis'] | data_loader/__init__.py utils/logger.py utils/util.py base/base_trainer.py train.py trainer/__init__.py inference.py data_loader/data_loaders.py model/loss.py utils/__init__.py trainer/trainer.py test.py model/efficient_modules.py model/metric.py model/model.py base/__init__.py base/base_model.py base/base_data_loader.py utils/visualization.py model/tests/test_fwd_bwd.py main main get_instance main BaseDataLoader BaseModel BaseTrainer _MusicNetDataset MusicNetDataLoader _WAVDataset RandomWaveFileLoader Conv1x1Func AffineCouplingFunc InvConv1x1Func InvAffineCouplingFunc InvertibleConv1x1 AffineCouplingBlock WaveGlowLoss my_metric my_metric2 WN2D fused_gate _NonCausalLayer2D WaveFlow WN_LVC WaveGlow _NonCausalLayer _predictor _NonCausalLayer_LVC MelGlow WN test_affine_fwd_bwd test_complx_chained set_seed test_conv1x1_fwd_bwd Trainer Logger add_weight_norms ensure_dir remove_weight_norms WriterTensorboardX DataParallel device numel apply half load_state_dict to module format get_mel get_instance eval load time print infer write summary numpy len update sampler getattr zeros hasattr train Trainer optim seed manual_seed model rand zero_grad loss_func inverse cuda set_seed view load_state_dict append range state_dict zip item backward print clone InvertibleConv1x1 cpu train randn model rand zero_grad loss_func inverse cuda set_seed view load_state_dict AffineCouplingBlock append sum range state_dict detach item zip backward print clone train set_seed view backward rand zero_grad clone loss_func ModuleList inverse load_state_dict zip append train cuda range state_dict hasattr remove_weight_norm hasattr weight_norm makedirs | yoyololicon/constant-memory-waveglow | 4,232 |
yoyongbo/test | ['geometric matching'] | ['Convolutional neural network architecture for geometric matching'] | train.py eval_pf.py demo.py geotnf/transformation.py image/normalization.py util/train_test_fn.py data/download_datasets.py geotnf/point_tnf.py model/cnn_geometric_model.py data/coupled_dataset.py data/pf_dataset.py data/synth_dataset.py model/loss.py util/torch_util.py correct_keypoints main parse_flags CoupledDataset blank_outside_verts download_PF_willow download_pascal PFDataset SynthDataset PointTnf PointsToUnitCoords PointsToPixelCoords SynthPairTnf AffineGridGen GeometricTnf TpsGridGen CoupledPairTnf normalize_image NormalizeImageDict CNNGeometric FeatureExtraction FeatureL2Norm FeatureRegression FeatureCorrelation TransformedGridLoss str_to_bool save_checkpoint BatchTensorToVars train validate_model squeeze numel expand_as le sum add_argument ArgumentParser SynthPairTnf DataLoader save_checkpoint validate_model trained_models_fn TransformedGridLoss seed CoupledDataset CNNGeometric geometric_model Adam MSELoss training_tnf_csv parse_flags range SummaryWriter glob SynthDataset close mkdir manual_seed is_available CosineAnnealingLR float num_epochs join lr_scheduler log_dir trained_models_dir print add_graph download_pascal min parameters coupled_dataset feature_extraction_cnn use_mse_loss CoupledPairTnf train deepcopy uint8 drawContours LINE_AA COLOR_BGR2GRAY bitwise_and shape zeros array cvtColor join remove basename print extractall close urlopen ZipFile makedirs join remove basename print extractall close urlopen open makedirs NormAxis clone expand_as NormAxis clone expand_as list isinstance Variable size add expand div unsqueeze cuda is_cuda join basename copyfile dirname save makedirs format model pair_generation_tnf reshape backward len zero_grad print tqdm item loss_fn step enumerate add_scalar format model pair_generation_tnf reshape print add_scalar eval loss_fn enumerate | yoyongbo/test | 4,233 |
yrbahn/deep_match_ctr_prediction | ['click through rate prediction'] | ['Deep Character-Level Click-Through Rate Prediction for Sponsored Search'] | train.py apply_bpe.py learn_bpe.py utils.py get_vocab.py vocab.py model.py create_parser get_pairs isolate_glossary recursive_split read_vocabulary check_vocab_and_split encode BPE create_parser replace_pair get_pair_statistics prune_stats get_vocabulary main update_pair_statistics DeepWordMatchModel main input_fn args_parser py_func get_available_gpus tf_print Vocab add_argument ArgumentParser add set get_pairs endswith tuple min extend index check_vocab_and_split append append recursive_split int split add set split int Counter split defaultdict index defaultdict enumerate join list items replace tuple escape sub iter append compile split items list items sorted list get_pair_statistics deepcopy format replace_pair prune_stats write get_vocabulary dict update_pair_statistics max range values add_argument ArgumentParser input_fn batch_size set_verbosity train_data_dir open max_ad_len get_size Estimator parse_known_args Vocab create_model_fn DeepWordMatchModel max_query_len num_epochs INFO code_file vocab_file BPE train list_local_devices str get_default_graph randint | yrbahn/deep_match_ctr_prediction | 4,234 |
yrhvivian/pytorch-kaldi | ['speech recognition', 'noisy speech recognition', 'distant speech recognition'] | ['The PyTorch-Kaldi Speech Recognition Toolkit'] | kaldi_decoding_scripts/utils/nnet/gen_hamm_mat.py kaldi_decoding_scripts/utils/reverse_arpa.py kaldi_decoding_scripts/utils/nnet/gen_splice.py kaldi_decoding_scripts/utils/nnet/gen_dct_mat.py kaldi_decoding_scripts/utils/filt.py kaldi_decoding_scripts/utils/nnet/make_nnet_proto.py kaldi_decoding_scripts/utils/nnet/make_cnn_proto.py tune_hyperparameters.py kaldi_decoding_scripts/utils/nnet/make_lstm_proto.py run_exp.py kaldi_decoding_scripts/utils/nnet/make_blstm_proto.py plot_acc_and_loss.py save_raw_fea.py data_io.py utils.py neural_networks.py core.py kaldi_decoding_scripts/utils/nnet/make_cnn2d_proto.py extract_data_from_shared_list convert_numpy_to_torch run_nn run_nn_refac01 read_next_chunk_into_shared_list_with_subprocess load_counts UnknownMatrixHeader _read_vec_flt_binary open_or_fd _read_mat_ascii read_vec_int_ark context_window_old read_vec_flt_scp UnknownVectorHeader read_cntime_ark load_chunk read_vec_flt_ark write_mat read_cntime UnsupportedDataType write_vec_int BadInputFormat read_post_ark SubprocessFailed write_vec_flt read_vec_int read_mat load_dataset BadSampleSize read_vec_flt read_post_rxspec read_post_scp read_ali_ark read_lab_fea_refac01 _read_vec_flt_riff _read_mat_binary read_key read_cnet_ark _read_compressed_mat read_segments_as_bool_vec read_lab_fea context_window popen read_mat_scp read_post read_mat_ark CNN RNN liGRU SincNet LayerNorm LSTM_cudnn GRU_cudnn channel_averaging SincConv_fast GRU minimalGRU act_fun MLP PASE flip SincConv SRU LSTM RNN_cudnn logMelFb _max_nr_of_parallel_forwarding_processes _is_first_validation _run_forwarding_in_subprocesses nth_replace_string run_command compute_cw_max create_curves run_shell read_args_command_line check_cfg parse_model_field create_lists get_chunks_after_which_to_validate optimizer_init create_block_diagram run_shell_display dump_epoch_results is_sequential export_loss_acc_to_txt split_chunks write_cfg_chunk expand_section_proto get_val_cfg_file_path expand_str_ep create_block_connection get_val_lst_file_path compute_avg_performance check_consistency_with_proto parse_fea_field change_lr_cfg check_field expand_section get_all_archs get_val_info_file_path forward_model terminal_node_detection model_init create_configs parse_lab_field dict_fea_lab_arch is_sequential_dict do_validation_after_chunk _get_val_file_name_base shift check_cfg_fields cfg_item2sec list_fea_lab_arch forward_model_refac01 compute_n_chunks progress fix_filt_step Glorot start Thread join float cuda view _optimization_step load_counts strtobool convert_numpy_to_torch write_mat _prepare_input log _write_info_file list _get_dim_from_data_set len map _read_chunk_specific_config sum range detach extract_data_from_shared_list close _get_batch_size_from_config _get_batch_config read_next_chunk_into_shared_list_with_subprocess forward_model join time _save_model is_sequential_dict _initialize_random_seed shift _update_progress_bar _open_forward_output_files_and_get_file_handles _load_model_and_optimizer numpy split load_counts strtobool open_or_fd zero_grad DataParallel numpy save write_mat round cuda max log seed str list optimizer_init len exit map load_state_dict sum range detach state_dict Thread replace ConfigParser close start manual_seed item float keys model_init forward_model load int read join time backward is_sequential_dict contiguous shift write randint step progress split _read_features_and_labels_with_kaldi _match_feature_and_label_sequence_lengths _chunk_features_and_labels _concatenate_features_and_labels _input_is_wav_file flatten empty range concatenate empty range roll min mean context_window load_dataset std column_stack _reorder_data_set _append_to_shared_list _read_features_and_labels _read_from_config _read_chunk_specific_config update int read list dict_fea_lab_arch ConfigParser is_sequential_dict write exit shuffle load_chunk compute_cw_max keys append column_stack rsplit int seek search popen split open start Popen open decode strip read_vec_int open_or_fd read_key decode remove read open_or_fd close frombuffer array split pack char write open_or_fd encode range len read_vec_flt open_or_fd split read_vec_flt open_or_fd read_key decode remove open_or_fd close array split read frombuffer unpack decode read frombuffer pack char write open_or_fd encode tobytes read_mat open_or_fd split read_mat open_or_fd read_key decode _read_mat_ascii _read_mat_binary open_or_fd decode read reshape startswith frombuffer decode vstack append array split dtype read reshape zeros frombuffer array pack char write open_or_fd encode tobytes print exit startswith open_or_fd read_post split open_or_fd read_post read_key decode read tolist open_or_fd close append frombuffer range read_cntime open_or_fd read_key decode read tolist open_or_fd close frombuffer loadtxt repeat astype size view contiguous strtobool get_chunks_after_which_to_validate _get_nr_of_valid_per_epoch_from_config decode readline print append Popen decode write Popen flush communicate wait Popen int str findall group write exit nth_replace_string split append range compile len read ConfigParser mean append float sum int list write exit map float split append sections read list add_section ConfigParser remove_section set sections append keys range values len ConfigParser read list set list write exit any sections keys read ConfigParser exit check_cfg_fields expand_section open rstrip strtobool values open run_shell str list sorted parse_model_field len exit create_block_diagram append sum range replace check_consistency_with_proto parse_fea_field sections join items parse_lab_field int read write split findall makedirs write sections exit append range len list _partition_chunks append get_chunks_after_which_to_validate _get_nr_of_valid_per_epoch_from_config format _get_val_lst_file_name _get_val_info_file_name _get_val_cfg_file_name strtobool max open str check_cfg list exit log10 ceil append range write_cfg_chunk expand_str_ep get_val_cfg_file_path format get_val_lst_file_path replace close get_all_archs float get_val_info_file_path keys int items do_validation_after_chunk write split compute_n_chunks len __add__ max open seed str sorted list map log10 reverse writelines ceil append split_chunks range format get_val_lst_file_path parse_fea_field close shuffle _get_validation_data_for_chunks _shuffle_forward_data int do_validation_after_chunk cfg_item2sec split len add_section str list sorted remove_section append range replace check_consistency_with_proto ConfigParser glob remove_option sections keys int read join items cfg_item2sec findall len sorted write exit sub append split write exit sub append split glob int sorted format read list replace ConfigParser len write exit findall float range append open list str list index append range len run_shell str read list remove replace create_block_connection ConfigParser findall append list replace strtobool len map cfg_item2sec findall range append split list replace strtobool len map cfg_item2sec findall range append split strtobool list keys strtobool int list max append keys NLLLoss list out_dim strtobool nn_class set eval import_module getattr train cuda list strtobool map SGD Adam RMSprop parameters float keys split list _get_network_output _get_labels_from_input mean _add_input_features_to_outs_dict shape _compute_layer_values float cat len list view float mean shape long bool keys cat len str list int print write close keys log10 ceil max open int write float round flush str asarray ndarray readlines makedirs savetxt split append float range len arange axis str use exit ylabel title savefig legend append export_loss_acc_to_txt range plot readlines clear print loadtxt xlabel write amax len find str read list ConfigParser set keys int write extend exit append float split range with_glorot | yrhvivian/pytorch-kaldi | 4,235 |
yu20103983/FOTS | ['scene text detection', 'text spotting', 'scene text recognition'] | ['FOTS: Fast Oriented Text Spotting with a Unified Network'] | FOTS/fots_trainModel.py FOTS/dataset/data_util.py FOTS/dataset/vocb_extract.py FOTS/nets/resnet_v1.py FOTS/dataset/synthText2icdar.py FOTS/RoiRotate.py FOTS/nets/resnet_utils.py FOTS/locality_aware_nms.py multigpu_train.py FOTS/dataset/dataReader.py FOTS/sharedConv.py FOTS/recognizer.py FOTS/fots_testModel.py FOTS/detector.py average_gradients main build_model sparse_tuple_from_label loss detector dice_coefficient FOTS_testModel FOTS_trainModel standard_nms std_intersection area_aware_nms area_aware_intersection nms_locality weighted_merge recognizer RoiRotate unpool mean_image_subtraction model generator load_annoataion argument restore_rectangle_rbox line_cross_point _distort sort_rectangle generate_roiRotatePara _xmirror generate_rbox check_and_validate_polys restore_roiRotatePara restore_rectangle getRotateRect line_verticle shrink_poly crop_area get_batch fit_line lighting crop get_images polygon_area point_dist_to_line noise rectangle_from_parallelogram GeneratorEnqueuer all_list load_annoataion GetAllFiles Block conv2d_same subsample resnet_arg_scope stack_blocks_dense resnet_v1_152 resnet_v1_101 bottleneck resnet_v1_200 resnet_v1_50 resnet_v1 list asarray extend zip range enumerate len concat reduce_mean zip append expand_dims FOTS_trainModel group float32 placeholder sparse_placeholder batch_size_per_gpu int32 append compute_gradients range total_loss trainable_variables checkpoint_path pretrained_model_path concat MkDir moving_average_decay Saver exponential_decay get_variable basename train_gpu_list global_variables average_gradients merge_all apply apply_gradients get_default_graph append build_model get_checkpoint_state group FileWriter get_trainable_variables assign_from_checkpoint_fn enumerate join learning_rate DeleteRecursively AdamOptimizer reduce_mean model_checkpoint_path ExponentialMovingAverage global_variables_initializer scalar scalar reduce_sum minimum cos dice_coefficient reduce_mean scalar split reshape area Polygon Polygon reshape min area intersection reshape min max Polygon append array sorted append zeros array weighted_merge append weighted_merge range split mean_image_subtraction extend isfile append training_data_path walk polygon_area print zip append clip min astype choice shape int32 zeros range max clip arctan2 polyfit print norm arccos line_verticle fit_line dot line_cross_point sum arctan print argmin argmax concatenate reshape transpose zeros array minAreaRect boxPoints concatenate min any array max clip sort_rectangle contrast COLOR_HSV2BGR astype shuffle float32 copy COLOR_BGR2HSV fn cvtColor randn reshape astype float32 copy dot eigh cov clip exponential astype float32 copy repeat randint array clip shape copy lighting _distort crop noise features_stride fillPoly line_cross_point sort_rectangle generate_roiRotatePara ones argmin width_stride ceil append sum range virtule_RoiHeight fit_line virtule_MaxRoiWidth zip float enumerate norm point_dist_to_line min float32 argwhere int32 zeros array rectangle_from_parallelogram load_annoataion arange subplots argument resize abs max show shape uniform imshow generate_rbox check_and_validate_polys append training_data_path imread format close shuffle copy add_artist tight_layout astype float join get_images Polygon print text set_yticks min training_anno_path float32 set_xticks zeros array generator get is_running print start sleep GeneratorEnqueuer append extend walk isfile set count pad | yu20103983/FOTS | 4,236 |
yuanfeisiyuetian/seqgan-modbusTCP | ['text generation'] | ['SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient'] | SeqGAN/utils.py data/modbus_read_client.py data/save/send.py SeqGAN/models.py SeqGAN/train.py SeqGAN/get_config.py setup.py data/kongge.py main.py SeqGAN/rl.py _requirements hexstr create_connection get_config VariousConv1D DiscriminatorConv Highway GeneratorPretraining Generator Discriminator Environment Agent Trainer pad_seq print_ids DiscriminatorGenerator GeneratorPretrainingGenerator Vocab load_data sentence_to_ids socket settimeout connect AF_INET SOCK_STREAM SafeConfigParser read Model Input Model Input Highway VariousConv1D Model Input Highway append format zip format range append open split append print enumerate | yuanfeisiyuetian/seqgan-modbusTCP | 4,237 |
yuanming-hu/difftaichi | ['physical simulations'] | ['DiffTaichi: Differentiable Programming for Physical Simulation'] | examples/diffmpm_simple.py examples/diffmpm3d.py examples/misc/rigid_body_toi_visualize.py examples/liquid.py examples/electric.py examples/volume_renderer.py examples/diffmpm_benchmark.py examples/wave.py examples/mass_spring_interactive.py examples/mass_spring_robot_config.py examples/smoke_jax.py examples/misc/gradient_explosion.py examples/misc/rigid_body_discountinuity.py examples/water_renderer.py examples/diffmpm.py examples/plot_losses.py examples/smoke_taichi_cpu.py examples/smoke_pytorch.py examples/rigid_body.py examples/smoke_taichi.py examples/billiards.py examples/diffmpm_checkpointing.py examples/mass_spring_simple.py examples/misc/rigid_body_toi.py examples/smoke_taichi_gpu.py examples/robot_config.py examples/mass_spring.py examples/adversarial.py examples/smoke_autograd.py test_interface vgg_grad imshow preprocess_and_forward main predict collide clear initialize optimize advance scan collide_pair compute_loss forward g2p robot clear_grid p2g clear_actuation_grad compute_actuation advance_grad clear_particle_grad advance fish allocate_fields grid_op compute_loss Scene main forward compute_x_avg visualize robot clear_particle_grad compute_loss forward clear_grid p2g splat copy_back_and_clear clear_actuation_grad compute_actuation zero_vec main compute_x_avg g2p zero_matrix backward allocate_fields grid_op Scene g2p place clear_grid p2g benchmark grid_op substep_grad substep compute_loss set_v main compute_x_avg g2p clear_grid p2g grid_op substep_grad substep compute_loss set_v compute_x_avg g2p p2g grid_op substep compute_loss set_v compute_x_avg initialize optimize rand advance allocate_fields compute_loss lerp forward nn2 nn1 robot clear_particle_grad compute_loss forward clear_grid p2g splat copy_back_and_clear clear_actuation_grad compute_actuation zero_vec main compute_x_avg g2p zero_matrix backward allocate_fields grid_op Scene clear optimize setup_robot clear_states advance_no_toi n_input_states allocate_fields apply_spring_force advance_toi compute_loss main forward nn2 compute_center nn1 clear optimize setup_robot clear_states n_input_states allocate_fields apply_spring_force advance_toi compute_loss forward nn2 compute_center nn1 add_spring add_mesh_triangle add_mesh_square robotC add_mesh_spring robotB robotD robotA add_object add_mesh_point clear_springs time_integrate clear_states allocate_fields apply_spring_force clear_tensors compute_loss main forward visualize collide optimize rotation_matrix setup_robot to_world initialize_properties clear_states advance_no_toi n_input_states allocate_fields apply_spring_force advance_toi compute_loss apply_impulse main forward nn2 nn1 rotAlong add_spring robotC robotLeg robotB robotA add_object callback convert_param_vector_to_matrices simulate plot_matrix distance_from_target_image objective project advect callback convert_param_vector_to_matrices simulate plot_matrix distance_from_target_image d_advect objective d_simulate d_project project advect roll_row roll_col main forward project advect dec_index apply_grad forward compute_div inc_index compute_loss compute_p main imod update_v advect dec_index apply_grad compute_div inc_index compute_loss imod main compute_p forward soa update_v advect dec_index apply_grad compute_div inc_index compute_loss imod main compute_p forward soa update_v advect clear_images apply_grad in_torus in_box compute_loss ray_march create_target_images main create_torus_density clear_density initialize render_reflect apply_grad gradient allocate_fields laplacian fdtd compute_loss compute_height_gradient main forward render_refract initialize apply_grad allocate_fields laplacian fdtd compute_loss main forward allocate_fields gradient advance compute_loss collide rotation_matrix initialize_properties advance clear_states allocate_fields compute_loss apply_impulse main forward to_world advance_no_toi allocate_fields advance_toi compute_loss main forward advance_no_toi allocate_fields advance_toi main forward title axis figure tensor transpose topk model print transpose softmax tensor ravel LongTensor backward Variable preprocess_and_forward tensor loss_fn CrossEntropyLoss format LongTensor backward Variable print astype float32 imshow item preprocess_and_forward tensor imread range loss_fn CrossEntropyLoss predict print astype float32 imread range predict norm Vector min dot normalized collide_pair range range collide int initialize format clear show advance compute_loss range circle makedirs ndrange Vector clear forward print range clear gcf show set_size_inches plot print xlabel degrees pi ylabel tight_layout title append forward range place lazy_grad list Vector static i32 transpose Matrix polar_decompose range sqrt cast determinant diag sum norm Vector static list Vector static i32 Matrix cast range tanh list static range range atomic_add g2p clear_grid p2g compute_actuation grid_op grid_op clear_grid p2g grad compute_x_avg set_n_actuators add_rect set_n_actuators set_offset add_rect show line circles rgb_to_hex to_numpy empty range makedirs robot show plot randn forward xlabel ylabel title finalize allocate_fields Scene n_particles append visualize zero_matrix zero_vec zero_matrix log atomic_add zero_matrix zero_vec g2p clear_grid p2g compute_actuation grid_op clear_grid p2g grad clear_particle_grad reversed grid_op range i32 cast range static range add_leg range abs open clear_all_gradients rgb_to_hex tofile set_gdb_trigger time to_numpy array makedirs pg p pgv get_scalar_field lazy_grad m range n range range Vector dist g2p grid_op clear_grid p2g grid_op clear_grid p2g grad g2p sync time p2g clear_kernel_profile_info print print_kernel_profile_info grad grid_op range int place print_kernel_profile_info waitKey benchmark set_v zeros circle ndrange tanh range tanh list static range list norm Vector static exp max atomic_add norm_sqr nn2 nn1 append range initialize format append dot list list add_subplot to255 ion figure list Vector static range list static norm range atomic_add Vector exp range Vector exp range line rgb_to_hex advance_no_toi advance_toi apply_spring_force compute_center Vector range clear_states print allocate_fields range len randn sqrt n_input_states clear dump optimize setup_robot get_pt time append append link add_object append add_object append add_spring add_mesh_spring add_mesh_point add_mesh_spring add_mesh_point add_mesh_triangle add_mesh_square add_mesh_square add_mesh_square exp range abs format get_pt imwrite ones waitKey imshow circle time_integrate visualize range clear_springs clear_states gcf set_size_inches tight_layout clear_tensors range Vector rotation_matrix cross min max atomic_add max list Vector static min cross dot apply_impulse to_world cross apply_impulse to_world norm print initialize_properties array get_world_loc append min clear_states clear_states add_spring add_spring add_object radians rotAlong add_spring sqrt pow add_object add_spring add_object zeros roll range shape mod arange astype shape meshgrid ravel print plot_matrix project range advect format matshow set_yticks draw pause set_xticks imsave cla print dtype reshape simulate convert_param_vector_to_matrices simulate convert_param_vector_to_matrices vjp vjp zeros_like print project d_advect append d_project range advect to roll_col roll_row remainder float flatten to long project numpy imsave advect system mean range range range i32 floor cast imod range range range imwrite compute_div waitKey imshow compute_p zeros update_v apply_grad place ScalarField isinstance get_scalar_field range n inc_index time ndrange ndrange ndrange ndrange Vector i32 min cos sqrt cast floor in_box sin max range format imwrite pi ray_march zeros range sqrt in_torus f32 cast max uint8 imwrite clear_images reshape exit create_target_images max clear_density laplacian Vector normalized list static i32 min floor cast max range gradient grad fdtd resize compute_height_gradient to_numpy render_refract clip grad range resize float exp screenshot degrees ylim legend arange min max bool enumerate | yuanming-hu/difftaichi | 4,238 |
yuanyu255/PCNN_C2SA | ['relation extraction'] | ['Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction'] | train.py data2cv.py test.py dataset.py process_dict.py pcnn3.py make_idx_data_cv get_idx get_pf readData ProgressBar wv2pickle data2pickle InstanceBag textPCNN proceess_data f_map append int range int arange extend append enumerate entities get_idx get_pf positions sentences rel entitiesPos num append InstanceBag enumerate len int list readline sort close map InstanceBag open range append split list dump RandomState readlines close map uniform split zeros open dump close readData open print sentences range enumerate | yuanyu255/PCNN_C2SA | 4,239 |
yubowen-ph/JointER | ['relation extraction'] | ['Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy'] | train.py analyse.py models/layers.py utils/helper.py utils/vocab.py utils/score.py eval.py models/submodel.py prepare_data.py models/model.py utils/constant.py utils/loader.py utils/torch_utils.py split_file_by_overlapping_type split_file_by_triplet_num evaluate count_oov load_tokens main build_vocab parse_args CharEncoder seq_and_vec RelationModel BiLSTMCNN ObjBaseModel SubjTypeModel FileLogger save_config print_config check_files ensure_dir check_dir load_config get_nearest_start_position get_positions sort_all get_pos_tags DataLoader seq_padding locate_entity char_padding extract_items evaluate load MyAdagrad change_lr load_config keep_partial_grad set_cuda flatten_indices save get_optimizer build_embedding normalize_glove Vocab load_glove_vocab tqdm iter set defaultdict tqdm set iter append append tqdm iter set add_argument ArgumentParser vocab_dir save emb_dir list defaultdict data_dir count_oov load_tokens parse_args build_vocab build_embedding format wv_dim set wv_file lower ensure_dir items print min_freq load_glove_vocab len print format len sorted format print Counter VOCAB_PREFIX len sum Counter values print format exit print format exit print format makedirs print format print format print items append enumerate append enumerate startswith len max max print list join predict_obj_per_instance get_pos_tags seq_padding append predict_subj_per_instance char_padding array enumerate extract_items append param_groups append range enumerate zero_ load_state_dict load uniform len set | yubowen-ph/JointER | 4,240 |
yubowen-ph/segment | ['relation extraction'] | ['Beyond Word Attention: Using Segment Attention in Neural Relation Extraction'] | train.py utils/helper.py model/layers.py utils/vocab.py utils/torch_utils.py model/CRF.py data/loader.py eval.py model/tree.py model/rnn.py utils/constant.py utils/util.py utils/config.py utils/misc.py model/BatchLinearChainCRF.py utils/scorer.py get_positions get_path_input get_long_tensor DataLoader map_to_ids map_to_tokens get_index sort_all word_dropout map_current_idx_to_orig LinearChainCrf LongTensor randn log_sum_exp Tensor zeros log_sum_exp LinearCRF PositionCRFBatch LSTMLayer PositionAwareAttention RelationModel PositionAwareRNN get_shortest_hops tree_to_dist get_path_to_root get_lca tree_to_adj Tree head_to_tree_v2 tree_to_seq get_sdp head_to_tree Config FileLogger save_config print_config check_files ensure_dir check_dir load_config cellModule compute_budget_loss compute_used_samples print_setup using_skip_rnn split_rnn_outputs create_generic_flags score parse_arguments load MyAdagrad change_lr load_config keep_partial_grad set_cuda flatten_indices save get_optimizer argmax_m to_1d to_ind log_sum_exp to_scalar create_empty_var add_broad argmax log_sum_exp_m build_embedding normalize_glove Vocab load_glove_vocab append unmap LongTensor fill_ max PAD_ID enumerate list insert get_positions word2id map_to_ids get_index len int index append range len max view int intersection_update add_child tolist len reversed add difference set append range enumerate zeros T children ones dist sorted add intersection_update set deepcopy get_path_to_root get_lca intersection_update add difference set append len int intersection_update add_child tolist len reversed add difference set append range enumerate sorted union set head_to_tree_v2 tree_to_seq head_to_tree array print format exit print format exit print format makedirs print format print format print items isinstance print Decimal startswith task_specific_setup FunctionType using_skip_rnn using_skip_rnn parse_args add_argument ArgumentParser max list sorted format print write Counter float sum keys range values len param_groups append range enumerate zero_ load_state_dict load max append size argmax range size expand unsqueeze append range exp size expand stack sum log transpose expand add_broad clone range len append list range reversed Variable Tensor cuda uniform len set | yubowen-ph/segment | 4,241 |
yubowenok/flowsense | ['machine translation'] | ['FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System'] | src/script/similarity.py tests/test_checker.py src/script/count_variables.py src/script/colors.py src/script/count_rules.py Similarity similarity max wup_similarity | yubowenok/flowsense | 4,242 |
yuemenglong/deep-learning-copy | ['face swapping'] | ['DeepFaceLab: Integrated, flexible and extensible face-swapping framework'] | models/Model_XSeg/Model.py mainscripts/VideoEd.py XSegEditor/QImageDB.py merger/MergerScreen/MergerScreen.py mainscripts/dev_misc.py merger/InteractiveMergerSubprocessor.py samplelib/SampleGeneratorImageTemporal.py core/leras/models/__init__.py samplelib/Sample.py core/joblib/__init__.py core/imagelib/estimate_sharpness.py core/joblib/MPFunc.py core/leras/layers/DenseNorm.py core/leras/nn.py samplelib/SampleProcessor.py core/leras/archis/__init__.py core/leras/layers/Conv2D.py core/stdex.py core/imagelib/text.py core/leras/models/PatchDiscriminator.py core/leras/__init__.py models/Model_XSeg/__init__.py core/leras/layers/DepthwiseConv2D.py core/imagelib/equalize_and_stack_square.py samplelib/__init__.py core/imagelib/sd/draw.py core/randomex.py core/joblib/MPClassFuncOnDemand.py core/leras/optimizers/__init__.py core/leras/initializers/__init__.py mainscripts/Extractor.py mainscripts/Sorter.py core/mathlib/__init__.py core/leras/optimizers/OptimizerBase.py core/imagelib/draw.py samplelib/SampleGeneratorBase.py core/leras/layers/BatchNorm2D.py core/leras/layers/ScaleAdd.py XSegEditor/QCursorDB.py models/__init__.py core/joblib/SubprocessGenerator.py DFLIMG/DFLIMG.py core/leras/layers/__init__.py models/ModelBase.py facelib/FaceEnhancer.py core/joblib/ThisThreadGenerator.py XSegEditor/QIconDB.py core/imagelib/blursharpen.py merger/MergeMasked.py core/cv2ex.py models/Model_Quick96/__init__.py main.py core/leras/archis/ArchiBase.py localization/localization.py facelib/LandmarksProcessor.py core/leras/layers/Dense.py models/Model_SAEHD/__init__.py mainscripts/Merger.py mainscripts/XSegUtil.py core/imagelib/filters.py F.py XSegEditor/QStringDB.py core/leras/initializers/CA.py core/imagelib/__init__.py core/leras/models/ModelBase.py samplelib/SampleGeneratorFaceTemporal.py core/leras/layers/InstanceNorm2D.py facelib/S3FDExtractor.py samplelib/SampleLoader.py samplelib/SampleGeneratorFaceXSeg.py core/qtex/qtex.py dfl.py DFLIMG/__init__.py mainscripts/ExtractorAuto.py core/leras/optimizers/RMSprop.py core/structex.py core/leras/layers/BlurPool.py facelib/__init__.py core/leras/archis/DeepFakeArchi.py core/imagelib/SegIEPolys.py mainscripts/FacesetEnhancer.py merger/FrameInfo.py models/Model_SAEHD/Model.py core/mplib/__init__.py samplelib/SampleGeneratorFacePerson.py merger/MergerScreen/__init__.py core/imagelib/common.py core/imagelib/sd/__init__.py core/leras/layers/AdaIN.py core/leras/layers/LayerBase.py facelib/FANExtractor.py core/leras/models/XSeg.py samplelib/SampleGeneratorFace.py merger/MergeAvatar.py core/pathex.py core/leras/layers/Conv2DTranspose.py core/qtex/QXMainWindow.py merger/__init__.py core/imagelib/morph.py core/joblib/SubprocessorBase.py mainscripts/Trainer.py samplelib/PackedFaceset.py core/mathlib/umeyama.py mainscripts/Util.py core/interact/__init__.py core/leras/layers/FRNorm2D.py core/leras/layers/Saveable.py core/leras/layers/TLU.py facelib/XSegNet.py core/mplib/MPSharedList.py core/leras/models/CodeDiscriminator.py facelib/FaceType.py XSegEditor/XSegEditor.py merger/MergerConfig.py core/leras/ops/__init__.py core/interact/interact.py core/leras/device.py core/imagelib/sd/calc.py core/imagelib/reduce_colors.py samplelib/SampleGeneratorImage.py localization/__init__.py DFLIMG/DFLJPG.py core/qtex/__init__.py core/qtex/QSubprocessor.py core/qtex/QXIconButton.py samplelib/SampleGeneratorFaceCelebAMaskHQ.py core/imagelib/warp.py core/osex.py core/imagelib/color_transfer.py models/Model_Quick96/Model.py dfl_train dfl_xseg_apply dfl_video_from_sequence dfl_exec dfl_sort_by_final load_config dfl_edit_mask dfl_faceset_metadata_restore dfl_xseg_remove get_exec_path dfl_merge dfl_extract_video dfl_xseg_train dfl_xseg_fetch get_config dfl_recover_filename dfl_img_load dfl_sort_by_absdiff dfl_faceset_metadata_save dfl_sort_by_vggface dfl_estimate_pitch_yaw_roll dfl_sort_by_hist dfl_xseg_editor dfl_img_area get_root_path dfl_extract_faces set_config pre_extract_dst xseg_dst_fetch fanseg change_workspace cpu_count match_by_pitch recover_filename manual_select get_pitch_yaw_roll testExt skip_no_face skip_spec_pitch mp4 merge_to_dst edit_mask xseg_src_fetch xseg_dst_edit xseg_train xseg_train2 prepare_vr mid_point get_image_var get_time_str extract_src skip_by_pitch convert_dst select refix csv_name xseg_dst2_edit auto_extract_to_img prepare_dst xseg_dst2_fetch clean_trash poly_area train_dst xseg_src_edit edit_mask_dst has_backup angle_between restore_model prepare pick_spec_pitch sync_trash auto prepare2 get_first_dst xseg_dst_apply mid_point_by_range xseg_dst2_apply main post_extract_dst merge get_workspace_dst extract_dst beep backup_model backup_model_move get_workspace convert xseg_src_apply show_landmarks recover_filename_if_nessesary get_root_path print_stack auto_skip_by_pitch train step get_desktop_path split process_dev_test process_merge process_videoed_cut_video process_train process_faceset_enhancer process_xsegeditor process_xsegapply process_xsegremove process_xsegremovelabels process_videoed_video_from_sequence process_xsegfetch process_util process_extract fixPathAction process_videoed_extract_video process_sort bad_args process_videoed_denoise_image_sequence cv2_imwrite cv2_resize cv2_imread set_process_dpi_aware get_screen_size set_process_lowest_prio get_image_paths move_all_files write_bytes_safe get_first_file_by_stem get_image_unique_filestem_paths get_all_dir_names get_file_paths delete_all_files scantree get_paths get_all_dir_names_startswith random_normal suppress_stdout_stderr struct_unpack LinearMotionBlur blursharpen _scale_array color_transfer color_transfer_idt color_transfer_mkl reinhard_color_transfer lab_image_stats linear_color_transfer channel_hist_match color_transfer_mix color_transfer_sot color_hist_match overlay_alpha_image cut_odd_image normalize_channels draw_polygon draw_rect equalize_and_stack_square compute _calculate_sharpness_metric marziliano_method get_block_contrast _simple_thinning estimate_sharpness is_edge_block sobel apply_random_motion_blur apply_random_rgb_levels apply_random_hsv_shift apply_random_bilinear_resize apply_random_gaussian_blur morphTriangle morph_by_points applyAffineTransform reduce_colors SegIEPolys SegIEPolyType SegIEPoly get_text_image draw_text_lines draw_text _get_pil_font get_draw_text_lines warp_by_params gen_warp_params dist_to_edges random_circle_faded circle_faded InteractBase InteractColab InteractDesktop MPClassFuncOnDemand MPFunc SubprocessGenerator Subprocessor ThisThreadGenerator Devices Device nn ArchiBase DeepFakeArchi CAInitializerSubprocessor initializers AdaIN BatchNorm2D BlurPool Conv2D Conv2DTranspose Dense DenseNorm DepthwiseConv2D FRNorm2D InstanceNorm2D LayerBase Saveable ScaleAdd TLU CodeDiscriminator ModelBase UNetPatchDiscriminator PatchDiscriminator XSeg dssim concat average_gv_list resize2d_bilinear flatten rgb_to_lab resize2d_nearest space_to_depth tf_gradients random_binomial style_loss gelu init_weights tf_get_value upsample2d reshape_4D batch_set_value max_pool average_tensor_list gaussian_blur depth_to_space OptimizerBase RMSprop umeyama get_power_of_two rotationMatrixToEulerAngles polygon_area ArrayFillerSubprocessor MPSharedList IndexHost Index2DHost ListHost DictHostCli DictHost QSubprocessor QDarkPalette QActionEx QSize_to_np QImage_from_np QImage_to_np QPixmap_from_np QPoint_to_np QPoint_from_np QXIconButton QXMainWindow DFLIMG DFLJPG FaceEnhancer FaceType FANExtractor blur_image_hull_mask mirror_landmarks get_face_struct_mask estimate_pitch_yaw_roll convert_98_to_68 expand_eyebrows get_rect_from_landmarks get_transform_mat draw_rect_landmarks get_cmask transform_points estimate_averaged_yaw calc_face_pitch alpha_to_color get_image_eye_mask draw_landmarks get_image_hull_mask S3FDExtractor XSegNet dev_test_68 dev_test1 dev_resave_pngs extract_vggface2_dataset extract_umd_csv dev_segmented_trash ExtractorAuto process_folder FacesetEnhancerSubprocessor extract_video video_from_sequence denoise_image_sequence cut_video remove_xseg remove_xseg_labels apply_xseg fetch_xseg FrameInfo InteractiveMergerSubprocessor MergeFaceAvatar process_frame_info MergeMasked MergeMaskedFace MergerConfigMasked MergerConfigFaceAvatar MergerConfig ScreenManager ScreenAssets Screen ModelBase PreviewHistoryWriter import_model QModel SAEHDModel XSegModel PackedFaceset Sample SampleType SampleGeneratorBase SampleGeneratorFace SampleGeneratorFaceCelebAMaskHQ MaskType SampleGeneratorFacePerson Index2DHost SampleGeneratorFaceTemporal SampleGeneratorFaceXSeg SegmentedSampleFilterSubprocessor SampleGeneratorImage SampleGeneratorImageTemporal FaceSamplesLoaderSubprocessor SampleLoader SampleProcessor QCursorDB QIconDB QImageDB QStringDB ImagePreviewSequenceBar QUIConfig QCanvasOperator LoaderQSubprocessor CanvasConfig OpMode QCanvas DragType ViewLock ColorScheme QCanvasControlsLeftBar start QCanvasControlsRightBar MainWindow PTEditMode get_exec_path open dfl_exec dfl_exec dfl_exec dfl_exec dfl_exec dfl_exec dfl_exec dfl_exec dfl_exec dfl_exec range dirname call get_exec_path isinstance load str name print Path get_source_rect float32 polygon_area astype dfl_exec dfl_exec dfl_exec dfl_exec dfl_exec dfl_exec dfl_exec dfl_train Beep print strip format_stack sum len min max unit_vector join move progress_bar_generator copy set rmtree mkdir listdir exists join isdir copy mkdir startswith listdir join isdir move rmtree mkdir startswith listdir exists join listdir startswith isdir join isdir copy startswith listdir join list remove dfl_extract_video log_info beep move sort get_time_str dfl_sort_by_hist input_int filter get_root_path mkdir dfl_extract_faces rmdir listdir join dfl_extract_faces load str estimate_pitch_yaw_roll get_image_paths join log_info name sort progress_bar_generator cv_new get_landmarks Path log_err cv_scatter append cv_save len var imread cvtColor COLOR_BGR2GRAY load cv_point get_landmarks cv_show cv_load get_pitch_yaw_roll remove print get_pitch_yaw_roll print copy makedirs join cv_save append log_info move cv_point cv_new get_pitch_yaw_roll trans makedirs join int move progress_bar_generator mkdir listdir join isdir move get_time_str progress_bar_generator listdir move get_pitch_yaw_roll exists list log_info add cv_scatter append range copy set mkdir zip listdir cv_save join norm progress_bar_generator cv_new argsort rmtree array len recover_original_aligned_filename listdir recover_filename setMouseCallback join int trans_fn dfl_estimate_pitch_yaw_roll namedWindow progress_bar_generator cv_new waitKey reload_src dfl_img_load append listdir array repaint join dfl_extract_video beep remove replace move dfl_sort_by_hist copy rmtree mkdir startswith dfl_extract_faces listdir exists join dfl_extract_video beep replace move copy rmtree mkdir startswith dfl_extract_faces listdir exists join listdir dfl_train log_info join dfl_train dfl_merge join dfl_extract_video log_info recover_filename log_err testExt listdir exists dfl_merge join join dfl_edit_mask move listdir get_workspace_dst join listdir dfl_edit_mask move join list int sorted log_info exists move copy rmtree recover_filename_if_nessesary mkdir startswith append main listdir range dfl_extract_fanseg get_workspace_dst join dfl_extract_video log_info move recover_filename dfl_video_from_sequence log_err testExt listdir join log_info move copy mkdir isfile listdir join log_info call get_root_path listdir join list trans_fn dfl_estimate_pitch_yaw_roll basename cv_save log_info cv_new progress_bar_generator get_time_str copy dfl_img_load listdir cv_circle trans join log_info move progress_bar_generator listdir exists listdir startswith join skip_by_pitch get_root_path startswith listdir join remove dfl_extract_video log_info print progress_bar_generator get_root_path startswith listdir extract_fanseg join basename progress_bar_generator copy rmtree listdir exists makedirs join remove log_info write close open get_root_path find append listdir range len join listdir get_root_path join get_workspace listdir join remove isdir print rmtree get_root_path isfile listdir join isdir move rmtree mkdir listdir join isdir move get_time_str mkdir listdir extract_dst pre_extract_dst train_dst convert_dst post_extract_dst join remove move rmtree log_err dfl_extract_faces listdir exists get_workspace_dst join dfl_xseg_editor join move print dfl_xseg_fetch dfl_xseg_editor listdir join dfl_xseg_apply join dfl_xseg_apply get_workspace_dst join dfl_xseg_editor get_workspace_dst join dfl_xseg_fetch print move dfl_xseg_editor listdir get_workspace_dst join dfl_xseg_editor join move print dfl_xseg_fetch dfl_xseg_editor listdir join dfl_xseg_apply join dfl_xseg_train get_workspace_dst join dfl_xseg_train xseg_dst_fetch pre_extract_dst change_workspace xseg_src_fetch xseg_train merge_to_dst mp4 xseg_dst_edit xseg_train2 prepare_vr convert_dst extract_src xseg_dst2_edit xseg_dst2_fetch clean_trash xseg_src_edit prepare xseg_dst_apply xseg_dst2_apply train post_extract_dst extract_dst get_workspace convert xseg_src_apply train_dst set_config main set_process_lowest_prio main set_process_lowest_prio unpack_faceset pack save_faceset_metadata log_info restore_faceset_metadata_folder pack_faceset save_faceset_metadata_folder restore_faceset_metadata Path input_dir unpack recover_original_aligned_filename set_process_lowest_prio add_landmarks_debug_images main set_process_lowest_prio main set_process_lowest_prio output_ext fps extract_video output_dir input_file set_process_lowest_prio audio_track_id from_time bitrate to_time cut_video input_file set_process_lowest_prio factor denoise_image_sequence set_process_lowest_prio input_dir video_from_sequence set_process_lowest_prio Path set_process_lowest_prio input_dir process_folder dev_test set_process_lowest_prio input_dir start Path set_process_lowest_prio input_dir model_dir apply_xseg Path input_dir set_process_lowest_prio Path remove_xseg set_process_lowest_prio input_dir remove_xseg_labels Path set_process_lowest_prio input_dir Path fetch_xseg set_process_lowest_prio input_dir print_help exit loader_func asarray bytearray imencode suffix shape normalize_channels resize nice SetPriorityClass HANDLE GetCurrentProcess SetProcessDPIAware user32 write_bytes parent name unlink rename exists is_dir scandir str list scandir any Path scantree exists append remove get_image_paths name stem set add verbose_print_func Path exists Path exists Path exists str list lower scandir Path startswith append exists str sorted list path lower scandir Path exists name Path rename get_file_paths unlink Path get_file_paths normal empty prod range calcsize warpAffine ones getRotationMatrix2D zeros sum medianBlur addWeighted ones zeros GaussianBlur max dtype reshape astype copy argsort shape bilateralFilter fill empty range eps T clip reshape eig dot shape sqrt cov mean diag T reshape min astype float32 empty_like solve dot shape histogram interp max range _scale_array uint8 astype float32 merge lab_image_stats COLOR_LAB2BGR cvtColor split T reshape transpose mean dot eigh eye cholesky split min max float64 astype shape unique interp ravel dtype astype shape channel_hist_match range uint8 astype float32 COLOR_BGR2LAB color_transfer_sot COLOR_LAB2BGR cvtColor uint8 color_transfer_idt color_transfer_mkl astype float32 reinhard_color_transfer linear_color_transfer color_transfer_sot clip shape repeat len shape shape range tuple line range len draw_polygon concatenate shape resize expand_dims max enumerate T convolve square mean sqrt array shape zeros float64 marziliano_method astype canny sobel gradient atan2 shape any zeros round range int exp slice get_block_contrast shape flipud round zeros is_edge_block rot90 range cvtColor COLOR_BGR2GRAY rand random clip array COLOR_HSV2BGR random merge COLOR_BGR2HSV randint clip cvtColor split LinearMotionBlur randint random randint GaussianBlur random int rand random shape resize float32 getAffineTransform float32 fillConvexPoly shape boundingRect int32 applyAffineTransform zeros expand_dims array shape morphTriangle zeros simplices fromarray uint8 convert astype COLOR_RGB2BGR array cvtColor truetype asarray Draw get_default_ttf_font_name concatenate text new _get_pil_font shape clip draw_text range len draw_text_lines zeros shape T random astype copy float32 getRotationMatrix2D dict uniform linspace random_normal warpAffine remap resize norm clip einsum concatenate norm reshape empty abs clip max random randint initializer inputs append batch_set_value run gradients expand_dims __enter__ __exit__ enumerate reduce_mean __enter__ __exit__ concat pow tanh sqrt pi as_list reshape tile transpose value resize transpose value resize transpose reshape transpose randint float32 pad make_kernel tile depthwise_conv2d gaussian_blur dtype constant arange reshape float32 square reduce_mean reducer cast softmax tile max as_list reshape transpose as_list reshape transpose constant reshape multiply matmul cast svd T ones matrix_rank mean dot eye sum diag sqrt atan2 shape Format_Grayscale8 Format_BGR888 Format_ARGB32 height reshape convertToFormat width constBits setsize range squeeze invertAffineTransform shape transform expand_dims get norm getAffineTransform polygon_area astype float32 transform_points sqrt estimate_averaged_yaw array transform_points FULL_NO_ALIGN get_transform_mat float32 array copy concatenate expand_eyebrows fillConvexPoly convexHull zeros int getStructuringElement astype fillConvexPoly MORPH_ELLIPSE convexHull dilate zeros GaussianBlur shape zeros concatenate process copy blend alpha_to_color zeros get_image_hull_mask gdf max clip int blur getStructuringElement min erode argwhere MORPH_ELLIPSE expand_dims copy draw_landmarks zeros expand_eyebrows concatenate polylines tuple shape get_image_hull_mask array circle get_transform_mat draw_rect transform_points draw_polygon draw_landmarks array array rotationMatrixToEulerAngles concatenate astype float32 pi solvePnP zeros array clip get pop get_image_paths parent log_info name stem progress_bar_generator get_all_dir_names Path mkdir run fromString split cv2_imread Path normalize_channels exists input_bool str log_info name stem append get_image_paths get_rect_from_landmarks unlink mkdir parent cv2_imwrite progress_bar_generator read_text split get str get_image_paths parent log_info name len unlink Path mkdir split log_err run range exists fromString input_bool get_image_paths progress_bar_generator get_all_dir_names Path x get_image_paths cv2_imwrite progress_bar_generator cv2_imread Path get_image_paths parent name stem rename Path mkdir append input_bool join get_image_paths log_info parent name copy unlink rmtree mkdir run update str get_image_paths parent input_str stem output get_first_file_by_stem unlink input_int mkdir Path log_err input run str suffix parent input_str stem overwrite_output input_int log_err Path input max run update str suffix parent progress_bar_generator output input_int rename log_err Path run clip enumerate suffix input_str wait input_int Path max input_bool str stem input update run_async get_image_paths close mkdir parent overwrite_output get_first_file_by_stem log_err probe load extract initialize get_image_paths log_info set_xseg_mask progress_bar_generator astype float32 get_resolution ask_choose_device shape XSegNet resize save load str get_image_paths log_info parent name has_polys progress_bar_generator copy get_seg_ie_polys mkdir load get_image_paths log_info set_xseg_mask input_str progress_bar_generator has_xseg_mask save load get_image_paths log_info input_str has_seg_ie_polys progress_bar_generator save set_seg_ie_polys warpAffine get_transform_mat astype float32 cv2_imread normalize_channels filename clip sharpen_func sharpen_mode concatenate predictor_func add_source_image process_frame_info temporal_face_count append range sharpen_amount predictor_func color_transfer_mkl motion_power bicubic_degrade_power motion_blur_power linear_color_transfer color_transfer_mix boundingRect resize reduce_colors max clip face_enhancer_func hist_match_threshold medianBlur super_resolution_power WARP_INVERSE_MAP ones LinearMotionBlur shape pad blur_mask_modifier image_denoise_power masked_hist_match blursharpen range color_hist_match BORDER_TRANSPARENT warpAffine sharpen_mode xseg_256_extract_func seamlessClone color_transfer_idt astype copy reinhard_color_transfer empty_like motion_deg INTER_CUBIC MORPH_ELLIPSE color_transfer_sot dilate GaussianBlur get_image_hull_mask NORMAL_CLONE uint8 int erode_mask_modifier getStructuringElement get_transform_mat float32 erode argwhere blursharpen_amount color_degrade_power landmarks_list concatenate astype float32 cv2_imread shape normalize_channels MergeMaskedFace filepath clip enumerate str parent cv2_imread locals __import__ globals dict setApplicationName setPalette QDarkPalette Path show str initialize log_info setWindowIcon addApplicationFont AA_EnableHighDpiScaling setStyle setFont gettempdir setAttribute QApplication path_contains app_icon MainWindow exec_ parent QFont raise_ AA_UseHighDpiPixmaps | yuemenglong/deep-learning-copy | 4,243 |
yueruchen/Pedestrian-Synthesis-GAN | ['pedestrian detection', 'scene text recognition'] | ['Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond'] | options/train_options.py data/image_folder.py data/aligned_dataset.py data/custom_dataset_data_loader.py data/data_loader.py train.py util/image_pool.py util/png.py util/get_data.py models/base_model.py models/models.py util/html.py data/base_data_loader.py options/base_options.py test.py data/base_dataset.py util/util.py models/networks.py models/test_model.py data/unaligned_dataset.py models/cycle_gan_model.py data/single_dataset.py options/test_options.py util/visualizer.py models/pix2pix_model.py AlignedDataset BaseDataset get_transform __scale_width BaseDataLoader CustomDatasetDataLoader CreateDataset CreateDataLoader is_image_file ImageFolder default_loader make_dataset SingleDataset UnalignedDataset BaseModel CycleGANModel create_model define_person_D SPP_NET get_norm_layer GANLoss ResnetGenerator ResnetBlock UnetGenerator UnetSkipConnectionBlock PersonDiscriminator define_image_D weights_init print_network NLayerDiscriminator define_G Pix2PixModel TestModel BaseOptions TestOptions TrainOptions GetData HTML ImagePool encode print_numpy tensor2pil varname diagnose_network mkdirs mkdir info save_image tensor2im Visualizer fineSize Lambda Scale RandomCrop BICUBIC RandomHorizontalFlip append int size initialize name UnalignedDataset print AlignedDataset SingleDataset CustomDatasetDataLoader name print initialize is_image_file join sorted append walk initialize CycleGANModel model print name TestModel Pix2PixModel normal_ __name__ fill_ BatchNorm2d partial InstanceNorm2d get_norm_layer ResnetGenerator UnetGenerator apply cuda NLayerDiscriminator cuda get_norm_layer apply PersonDiscriminator SPP_NET cuda apply print parameters transpose numpy fromarray transpose numpy astype print parameters fromarray save print join search print float64 flatten astype mkdir makedirs | yueruchen/Pedestrian-Synthesis-GAN | 4,244 |
yujiapingyu/Deep-Hashing | ['image retrieval'] | ['Feature Learning based Deep Supervised Hashing with Pairwise Labels'] | dsph.py EncodingOnehot CalcHammingDist GenerateCode CNN_Model CalcMap CalcSim AdjustLearningRate Logtrick to view zero_ scatter_ to to exp max log param_groups model zeros to numpy enumerate dot transpose asarray CalcHammingDist astype float32 where argsort mean linspace sum range | yujiapingyu/Deep-Hashing | 4,245 |
yulang/phrasal-composition-in-transformers | ['sentiment analysis'] | ['On the Interplay Between Fine-tuning and Composition in Transformers'] | src/sentiment_exp.py src/main.py src/classifier.py src/lime_exp.py src/analyzer.py src/utilities.py src/kintsch_exp.py src/configuration.py src/workload_generator.py TransformerAnalyzer read_embeddings dispatch dump classify_task_by_layer classify_task collect classify_by_token print_clf_rst dispatch_by_layer classify_by_layer main load_labels generate_token2file verify_embeddings load_trained_classifier collect_by_layer kintsch_preprocess load_kintsch generate_kintsch_embeddings evaluate_kintsch_embeddings main verbose_evaluate_kintsch_embeddings generate_kintsch_embeddings_transformer weight_normalizer weight_polarizer explain_by_layer clf_wrapper parse_multiprocess_results explain_classifier main gather_embeddings init_model main encode_input encode_padded_input generate_workload score_to_label construct_sentiment_dic is_partial_bigrams adjust_transformer_range adjust_phrase_range validate_dumping_embeddings concact_hidden_states print_stats_by_layer compute_cos_sim adjust_phrase_range_v2 analyze_correlation_by_layer is_partial_word naive_adjust_phrase_range validate_embed_phrase analyze_bird split_bird_by_target_source depr_extract_related_embedding extract_related_embedding embed_phrase_and_truncate label_converter init_handler_dic split_bird_by_pos truncate_samples_dic ppdb_overlap_control generate_stanford_classifier_workloads search_phrase_in_text ppdb_exact_preprocess write_pairs write_sentences stanfordsent_preprocess trivial_score_to_label generate_sentences ppdb_phrase_extract extract_embedding is_ppdb_illegal_pair embed_bird_in_sent process_phrase_dic embed_phrase_transformer stanford_phrase_filter ppdb_preprocess nontrivial_score_to_label ppdb_filterer bird_preprocess test_valid_negative_sample write_out_embedding naive_label_converter embed_phrase generate_classifier_workloads read_embeddings list format len close info generate_token2file range values open join format close save enumerate open load join format info len close item append range open join format strip close info append open load MLPClassifier format asarray fit accuracy_score info append train_test_split predict open load append append generate_token2file load MLPClassifier format asarray concatenate fit accuracy_score info append train_test_split predict open append generate_token2file range format info print_token info dispatch starmap collect print_clf_rst range starmap dump dispatch_by_layer info collect_by_layer classify_by_token cpu_count strip ArgumentParser classify_by_layer Pool open str append parse_args verify_embeddings format n_layers readlines close info join add_argument by_layer rand_seed readline rstrip replace append range open write load_kintsch append open join str list items lookup_sent_text n_layers lookup_embedding extract_related_embedding write close init_handler_dic write_out_embedding mkdir range enumerate open load join str list items extract_related_embedding write close init_handler_dic write_out_embedding mkdir range enumerate open load items list format print close from_numpy init_handler_dic CosineSimilarity range cos_sim load items list format print close from_numpy init_handler_dic CosineSimilarity range cos_sim evaluate_kintsch_embeddings load_kintsch items list gather_embeddings len read_embeddings items list wrapped_clf explain_instance weight_normalizer LimeTextExplainer weight_polarizer len close choice clf_wrapper classes_ generate_token2file range open starmap format print parse_multiprocess_results classes_ load_trained_classifier enumerate print weight_polarizer minmax_scale as_list print num_samples load_labels explain_by_layer from_pretrained error format format print append tensor len pad_token_id format count error exit append encode_plus config kintsch_preprocess model batch_size init_model embed_phrase_and_truncate reset_handler DataLoader save generate_stanford_classifier_workloads encode_padded_input list ppdb_exact_preprocess concact_hidden_states exit TensorDataset stanfordsent_preprocess TransformerAnalyzer adjust_transformer_range trivial_score_to_label eval mkdir embed_phrase_transformer analyze_correlation_by_layer generate_kintsch_embeddings_transformer ppdb_preprocess error write bird_preprocess nontrivial_score_to_label print_stats_by_layer generate_classifier_workloads len print strip close score_to_label split open enumerate generate_workload join append range cat len format n_layers print assert_array_equal features numpy range len join format print tolist exit map index split encode enumerate append len tokens replace print range len tokens replace print len is_partial_word range enumerate split join tokens replace print len startswith range split join replace print range len print exit close print_one_token open append cos_sim item CosineSimilarity n_layers lookup_embedding extract_related_embedding compute_cos_sim extend model_name lookup_sequence_length pearsonr range append enumerate lookup_sent_text n_layers lookup_embedding compute_cos_sim append pearsonr range min set is_trivial_word intersection float len items list format write open append stanford_phrase_filter construct_sentiment_dic dict items list islice items list write close ppdb_phrase_extract OrderedDict mean choice truncate_samples_dic append range open set write OrderedDict ppdb_overlap_control append open add append items list list set add is_ppdb_illegal_pair test_valid_negative_sample intersection open enumerate split format print write capitalize OrderedDict open float enumerate append split readline replace len write close index open enumerate split items list search_phrase_in_text replace add set lower append enumerate items list search_phrase_in_text replace add set lower append enumerate format print write close Counter open enumerate split print write close Counter open enumerate split items list search_phrase_in_text write close open append enumerate split format print len close add OrderedDict set open join choice append range len OrderedDict items list OrderedDict items list print exit extract_embedding format print exit extract_embedding len open join range str numpy save extract_related_embedding init_handler_dic open str list range format n_layers close mkdir enumerate join items lookup_embedding print write write_out_embedding model_name lookup_sequence_length len extract_related_embedding init_handler_dic save open str list range write_out_concact_embedding format n_layers close mkdir join items lookup_embedding print write model_name lookup_sequence_length close write open join close write open | yulang/phrasal-composition-in-transformers | 4,246 |
yule-BUAA/DNNTSP | ['time series'] | ['Predicting Temporal Sets with Deep Neural Networks'] | model/masked_self_attention.py model/temporal_set_prediction.py test/testing_model.py utils/metric.py data/statistic_data.py utils/data_container.py model/aggregate_nodes_temporal_feature.py utils/load_config.py model/weighted_graph_conv.py train/train_main.py train/train_model.py model/global_gated_update.py utils/loss.py utils/util.py statistic_data aggregate_nodes_temporal_feature global_gated_update masked_self_attention temporal_set_prediction weighted_GCN stacked_weighted_GCN_blocks weighted_graph_conv train create_loss create_model train_model get_data_loader SetDataset collate_set_across_user get_items_total get_attribute WeightMSELoss BPRLoss evaluate dcg recall_score PHR ndcg_score get_metric convert_train_truth_to_gpu get_truth_data save_model load_model convert_all_data_to_gpu pad_sequence get_class_weights convert_to_gpu set len print temporal_set_prediction MultiLabelSoftMarginLoss BPRLoss WeightMSELoss train_model get_data_loader create_model Adam SGD rmtree parameters create_loss makedirs save_model ReduceLROnPlateau convert_to_gpu get_metric sorted list add_text append range cat SummaryWriter filterwarnings convert_all_data_to_gpu mean eval startswith seconds add_scalars keys enumerate items print now dumps tqdm train step list normalize isinstance batch DGLGraph zip append Tensor tensor get_truth_data max zeros cat enumerate print DataLoader SetDataset set topk gather topk dcg topk update eval to get_attribute append convert_to_gpu convert_to_gpu load load_state_dict save state_dict append stack max one_hot items list get_attribute ones max | yule-BUAA/DNNTSP | 4,247 |
yulequan/UA-MT | ['medical image segmentation', 'semantic segmentation'] | ['Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'] | code/train_LA_meanteacher_certainty_unlabel.py code/dataloaders/utils.py code/train_LA_meanteacher_certainty.py code/test_LA.py code/utils/util.py code/test_util.py code/utils/losses.py code/utils/ramps.py code/dataloaders/la_heart_processing.py code/train_LA.py code/networks/vnet.py code/dataloaders/la_heart.py test_calculate_metric test_all_case test_single_case calculate_metric_percase cal_dice worker_init_fn worker_init_fn get_current_consistency_weight update_ema_variables create_model worker_init_fn get_current_consistency_weight update_ema_variables create_model RandomNoise CenterCrop CreateOnehotLabel ToTensor LAHeart iterate_once RandomCrop RandomRotFlip TwoStreamBatchSampler grouper iterate_eternally covert_h5 lr_poly generate_param_report decode_seg_map_sequence recursive_glob encode_segmap decode_segmap post_processing get_pascal_labels get_iou get_dice get_cityscapes_labels cross_entropy2d get_mc_dice ResidualConvBlock UpsamplingDeconvBlock Upsampling DownsamplingConvBlock VNet ConvBlock entropy_loss dice_loss1 dice_loss softmax_mse_loss entropy_loss_map softmax_kl_loss symmetric_mse_loss softmax_dice_loss sigmoid_rampup linear_rampup cosine_rampdown load_model AverageMeter UnifLabelSampler Logger learning_rate_decay load join str format print eval load_state_dict test_all_case cuda test_single_case format calculate_metric_percase print File astype float32 tqdm Nifti1Image save eye preproc_fn len argmax format print min astype float32 range shape pad softmax ceil expand_dims numpy cuda net astype zeros float sum range jc hd95 dc asd seed data min add_ parameters zip detach_ cuda VNet parameters read uint8 std replace glob print min astype float32 File close mean shape tqdm nonzero create_dataset randint max zeros astype get_pascal_labels enumerate append transpose decode_segmap from_numpy show copy imshow get_pascal_labels get_cityscapes_labels zeros range str close write open criterion size squeeze long CrossEntropyLoss item append sum range len print item long range len item zeros long range len label binary_fill_holes sum range regionprops float sum float sum mean sum cuda log softmax range sum cuda log softmax log_softmax softmax kl_div clip load format print size load_state_dict isfile param_groups sqrt | yulequan/UA-MT | 4,248 |
yulunzhang/MST | ['style transfer'] | ['Multimodal Style Transfer via Graph Cuts'] | src/weights.py src/util.py test_MST.py src/layer.py src/nn.py src/image.py src/norm.py style_transfer BxCxHxW_to_HWxC cluster_feature _build_graph HWxC_to_BxCxHxW HWxC_to_BxCxHWxW0 central_crop scale_image prepare_image load_image save_image upsample_nearest vgg_preprocess upsample_resize_bicubic upsample_resize_bilinear downsample_resize_bicubic upsample_resize_images _build_net _truncate build_vgg vgg_layer_params build_decoder wct get_params get_filename extract_image_names_recursive _WeightsLoader open_weights time print endswith makedirs extract_image_names_recursive ConfigProto _build_graph Session len wct build_decoder placeholder shape squeeze transpose reshape expand_dims reshape transpose expand_dims transpose cluster_centers_ labels_ fit imread central_crop scale_image transpose astype float32 shape imresize shape min uint8 imsave transpose astype clip shape transpose stack resize_nearest_neighbor Variable conv2d shape transpose resize_images stack shape transpose resize_bilinear stack shape transpose resize_bicubic stack shape transpose resize_bicubic stack _truncate upsample_nearest vgg_preprocess max_pooling2d conv2d pad constant_initializer zeros_initializer xavier_initializer reshape squeeze float32 matmul reduce_sum greater pow reduce_mean cast int32 eye expand_dims diag signature empty File close | yulunzhang/MST | 4,249 |
yunhai0920/company-name-id | ['scene text detection'] | ['Detecting Text in Natural Image with Connectionist Text Proposal Network'] | ctpn/lib/utils/timer.py ctpn/lib/text_connector/other.py ctpn/lib/datasets/__init__.py ctpn/lib/rpn_msr/generate_anchors.py ctpn/lib/fast_rcnn/config.py ctpn/lib/roi_data_layer/layer.py test_pkl.py ctpn/lib/rpn_msr/proposal_layer_tf.py ctpn/lib/networks/VGGnet_test.py ctpn/text_detect.py ctpn/lib/utils/setup_cpu.py ctpn/lib/utils/blob.py ctpn/lib/__init__.py ctpn/lib/backup/fast_rcnn/config.py ctpn/lib/fast_rcnn/bbox_transform.py ctpn/prepare_training_data/split_label.py ctpn/lib/datasets/pascal_voc.py ctpn/lib/roi_data_layer/minibatch.py stupid_addrs_rev.py demo_final.py ctpn/lib/backup/text_connector/detectors.py ctpn/lib/backup/text_connector/text_proposal_graph_builder.py ctpn/lib/fast_rcnn/nms_wrapper.py ctpn/lib/roi_data_layer/__init__.py ctpn/lib/text_connector/text_proposal_graph_builder.py ctpn/lib/datasets/factory.py ctpn/lib/backup/fast_rcnn/train.py densenet/keys.py ctpn/lib/utils/__init__.py ctpn/lib/text_connector/text_proposal_connector_oriented.py ctpn/lib/backup/text_connector/text_proposal_connector.py ctpn/lib/backup/fast_rcnn/bbox_transform.py ctpn/lib/backup/text_connector/text_proposal_connector_oriented.py run_flask.py ctpn/lib/backup/text_connector/text_connect_cfg.py ctpn/lib/backup/fast_rcnn/__init__.py ctpn/lib/datasets/ds_utils.py ctpn/lib/networks/network.py ctpn/lib/networks/VGGnet_train.py ctpn/ctpn/demo.py ctpn/lib/networks/__init__.py ctpn/lib/backup/text_connector/other.py ctpn/lib/utils/boxes_grid.py ctpn/lib/text_connector/detectors.py ctpn/lib/fast_rcnn/train.py ctpn/lib/fast_rcnn/test.py ocr_whole.py ctpn/ctpn/train_net.py ctpn/lib/backup/text_connector/__init__.py ctpn/lib/rpn_msr/anchor_target_layer_tf.py demo.py ctpn/lib/text_connector/text_proposal_connector.py densenet/model.py ctpn/lib/networks/factory.py ctpn/lib/utils/setup.py ctpn/lib/roi_data_layer/roidb.py ctpn/lib/backup/fast_rcnn/nms_wrapper.py ctpn/lib/backup/fast_rcnn/test.py ctpn/lib/datasets/imdb.py ctpn/prepare_training_data/ToVoc.py ctpn/lib/text_connector/text_connect_cfg.py ctpn/lib/text_connector/__init__.py densenet/densenet.py is_alphabet demo_flask dumprotateimage charrec sort_box model Pic_str download_txt api_upload allowed_file download_img main read_pkl strs xls_txt text_detect draw_boxes ctpn resize_im load_tf_model resize_im draw_boxes ctpn clip_boxes bbox_transform bbox_transform_inv cfg_from_list cfg_from_file _merge_a_into_b get_log_dir get_output_dir nms test_ctpn _get_image_blob _get_blobs train_net get_training_roidb get_data_layer SolverWrapper TextDetector clip_boxes normalize threshold Graph Config TextProposalConnector TextProposalConnector TextProposalGraphBuilder unique_boxes xywh_to_xyxy validate_boxes xyxy_to_xywh filter_small_boxes _selective_search_IJCV_top_k get_imdb list_imdbs imdb pascal_voc _which clip_boxes bbox_transform bbox_transform_inv cfg_from_list cfg_from_file _merge_a_into_b get_log_dir get_output_dir nms py_cpu_nms test_ctpn _get_image_blob _get_blobs train_net get_training_roidb get_data_layer SolverWrapper get_network layer Network VGGnet_test VGGnet_train RoIDataLayer _project_im_rois _sample_rois _vis_minibatch _get_image_blob get_minibatch _get_bbox_regression_labels add_bbox_regression_targets prepare_roidb _compute_targets _unmap _compute_targets anchor_target_layer generate_anchors generate_basic_anchors scale_anchor _filter_boxes proposal_layer _filter_irregular_boxes TextDetector clip_boxes normalize threshold Graph Config TextProposalConnector TextProposalConnector TextProposalGraphBuilder im_list_to_blob prep_im_for_blob get_boxes_grid find_in_path customize_compiler_for_nvcc custom_build_ext locate_cuda find_in_path customize_compiler_for_nvcc custom_build_ext Timer generate_xml _is_hard build_voc_dirs conv_block dense_blstm dense_cnn transition_block dense_block decode predict model save exists open list name Grocery encode predict isdigit format replace close stupid_revise load join time print convert get_load_status extend filter sub train array GroceryTextModel len append sort len warpAffine int min getRotationMatrix2D append max dumprotateimage int keras_densenet convert degrees atan2 append enumerate charrec cfg_from_file text_detect sort_box join secure_filename create_uuid save filename makedirs join demo_flask isfile print append range len decode open_workbook replace print close col_values writelines ncols range strs open open xls_txt enumerate float min max checkpoints_path restore format print get_checkpoint_state get_network model_checkpoint_path Saver ConfigProto GPUOptions Session toc format print test_ctpn total_time tic detect TextDetector Timer resize_im int line copy resize zeros range draw_boxes ctpn join imwrite draw_boxes imread transpose log dtype exp astype shape zeros minimum maximum join EXP_DIR name abspath ROOT_DIR makedirs join name strftime localtime LOG_DIR abspath ROOT_DIR makedirs items list ndarray isinstance type array _merge_a_into_b literal_eval zip split USE_GPU_NMS MAX_SIZE min astype float32 SCALES shape resize append im_list_to_blob float max _get_image_blob HAS_RPN array _get_blobs run prepare_roidb print USE_FLIPPED append_flipped_images HAS_RPN RoIDataLayer IS_MULTISCALE HAS_RPN ConfigProto min max threshold dot array unique pascal_voc selective_search_IJCV_roidb print list_imdbs join strip is_exe pathsep split append maximum minimum vstack round _project_im_rois basename BATCH_SIZE ones len shape _get_image_blob range FG_FRACTION hstack astype HAS_RPN empty zeros _sample_rois float32 randint array BBOX_REG minimum size choice append _get_bbox_regression_labels prep_im_for_blob PIXEL_MEANS imread range len zeros BBOX_INSIDE_WEIGHTS shape show uint8 print astype copy add_patch imshow Rectangle range image_index toarray roidb argmax max range image_path_at len EPS BBOX_NORMALIZE_STDS print _compute_targets BBOX_NORMALIZE_MEANS BBOX_NORMALIZE_TARGETS_PRECOMPUTED mean sqrt BBOX_NORMALIZE_TARGETS tile zeros array range len bbox_transform ascontiguousarray zeros argmax bbox_overlaps arange RPN_BBOX_INSIDE_WEIGHTS _unmap argmax max RPN_FG_FRACTION generate_anchors ones transpose bbox_intersections array meshgrid sum RPN_BATCHSIZE format hstack astype ascontiguousarray choice sqrt fill empty RPN_POSITIVE_WEIGHT int EPS print reshape RPN_CLOBBER_POSITIVES _compute_targets zeros bbox_overlaps fill empty zeros array int32 scale_anchor copy append decode generate_anchors RPN_POST_NMS_TOP_N format arange nms print reshape meshgrid transpose clip_boxes bbox_transform_inv _filter_boxes hstack shape RPN_NMS_THRESH RPN_PRE_NMS_TOP_N RPN_MIN_SIZE zeros max range len min astype float32 rand shape RANDOM_DOWNSAMPLE resize float max arange reshape transpose hstack SPATIAL_SCALE dstack ASPECTS sqrt SCALES_BASE floor KERNEL_SIZE repeat meshgrid zeros max range len pathsep pjoin exists split find_in_path items list pjoin pathsep dirname sep append _compile compiler_so str int Document lower append float append_xml_node_attr split join mkdir conv_block range concatenate transition_block dense_block append range len int decode ANTIALIAS reshape astype float32 resize | yunhai0920/company-name-id | 4,250 |
yunitata/coling2018 | ['text categorization'] | ['Topic or Style? Exploring the Most Useful Features for Authorship Attribution'] | data_prep.py data_analysis.py feature_analysis.py load_data.py feature_extractor.py model.py main JSD convert_to_csv open_text main LogReg FNN freq_function_word count_letter_freq dislegomena_ratio char_bigrams average_total_words create_feature word_unigram char_trigrams hapax_legomena_ratio scaler_ total_short_words total_char feature_extraction word_trigram pos_tag_freq avg_total_char count_digit_freq total_words tokenize average_sentence_length average_word_length punctuation_freq total_uppercase word_bigram total_digit load_imdb62 load_judgment clean_str load_ccat_data load_ccat model_wac model_woc model_dense norm data load_imdb62 n_topics load_ccat ArgumentParser argmax heatmap str list defaultdict load_judgment set_title set_xlabel len shape savefig append parse_args sum fit_transform range LDA doc_topic_ format set_label topic_word_ CountVectorizer JSD zeros enumerate join items get_feature_names print add_argument data_path set_ylabel simplefilter ravel array fit read print open_text append sep walk print LogisticRegression nan_to_num accuracy_score Pipeline predict fit print to_categorical model_dense feature_code feature_dim batch_size StratifiedKFold load_ccat_data test_path nb_epoch feature_extraction train_test_split LogReg dropout mean nb_class lr model_path train_path weight_path FNN hidden_size nan_to_num StandardScaler fit word_tokenize word_tokenize len average_total_words word_tokenize len len sum split split len avg_total_char join join len decode sum sent_tokenize FreqDist hapaxes split list Counter set split values len join list strip len dirname array range values split pos_tag get FreqDist split transform fit_transform vocabulary_ CountVectorizer transform fit_transform vocabulary_ CountVectorizer transform fit_transform vocabulary_ CountVectorizer transform fit_transform vocabulary_ CountVectorizer transform fit_transform vocabulary_ CountVectorizer freq_function_word count_letter_freq dislegomena_ratio char_bigrams word_unigram char_trigrams hapax_legomena_ratio total_short_words append word_trigram concatenate count_digit_freq average_word_length extend punctuation_freq total_uppercase word_bigram total_digit array print create_feature sub list transform fit set LabelEncoder read_csv clean_str append range len list print LabelEncoder set transform array read_csv fit append range clean_str len list set clean_str append range len Sequential Flatten open Embedding Adam add Dropout model_from_json AveragePooling1D close Dense load_weights compile read evaluate print EarlyStopping Merge ModelCheckpoint to_json fit Sequential Flatten open Embedding Adam add Dropout model_from_json AveragePooling1D close Dense load_weights compile read evaluate print EarlyStopping Merge ModelCheckpoint to_json fit read evaluate model_from_json print EarlyStopping Sequential fit Adam close add Dense load_weights summary open ModelCheckpoint to_json compile Dropout | yunitata/coling2018 | 4,251 |
yuqiChen94/Active_fuzzer | ['active learning'] | ['Active Fuzzing for Testing and Securing Cyber-Physical Systems'] | Main/extract_bits.py Main/_PLC1.py raspberry_Pi/stage2/AL_utils.py Main/dissector/enip_udp.py Main/zmq/AL_utils.py raspberry_Pi/stage2/stage2_client.py raspberry_Pi/stage4/stage4_client.py raspberry_Pi/stage3/change.py Main/dissector/CIP_sequence.py raspberry_Pi/stage3/AL_utils.py Main/get_pv.py Main/_PLC6.py Main/stage3_AL_backup.py raspberry_Pi/stage1/_PLC1.py raspberry_Pi/stage3/bitdump.py raspberry_Pi/stage2/change.py Main/usl.py raspberry_Pi/stage2/enip_cpf.py Main/stage1_AL_backup.py Main/zmq/modify_bit.py Main/zmq/main_server.py raspberry_Pi/stage1/stage1_AL.py Main/zmq/CIP_sequence.py raspberry_Pi/stage4/utils.py Main/main_predict.py raspberry_Pi/stage3/utils.py Main/stage2_AL backup.py raspberry_Pi/stage1/modify_packet_stage1.py raspberry_Pi/stage3/stage3_AL.py raspberry_Pi/stage4/modify_packet_stage4.py raspberry_Pi/stage2/_PLC2.py raspberry_Pi/stage1/change.py Main/stage4_AL_backup.py Main/_PLC5.py Main/extract_log.py Main/cip.py raspberry_Pi/stage1/stage1_client.py raspberry_Pi/stage1/utils.py Main/dissector/_PLC6.py raspberry_Pi/stage3/_PLC3.py raspberry_Pi/stage1/bitdump.py raspberry_Pi/stage1/AL_utils.py Main/zmq/bitdump.py raspberry_Pi/stage3/CIP_sequence.py raspberry_Pi/stage4/enip_cpf.py Main/dissector/enip_cpf.py raspberry_Pi/stage2/modify_packet_stage2.py Main/train.py raspberry_Pi/stage3/stage3_client.py Main/dissector/__init__.py raspberry_Pi/stage2/utils.py Main/utils.py Main/zmq/main_client.py Main/dissector/utils.py raspberry_Pi/stage4/stage4_server.py Main/AL_utils.py Main/main_server.py raspberry_Pi/stage1/stage1_server.py raspberry_Pi/stage2/bitdump.py raspberry_Pi/modify_bit.py Main/_PLC2.py Main/bitdump.py raspberry_Pi/stage4/stage4_AL.py raspberry_Pi/stage4/_PLC4.py raspberry_Pi/stage2/stage2_AL.py raspberry_Pi/bitdump.py Main/dissector/_PLC1.py raspberry_Pi/stage2/stage2_server.py raspberry_Pi/stage2/CIP_sequence.py raspberry_Pi/stage4/AL_utils.py Main/dissector/_PLC4.py Main/modify_bit.py Main/dissector/_PLC5.py Main/_PLC4.py Main/dissector/scaling_all.py Main/dissector/_PLC3.py Main/main_client.py Main/dissector/_PLC2.py raspberry_Pi/stage4/CIP_sequence.py Main/_PLC3.py Main/enip_cpf.py raspberry_Pi/stage3/enip_cpf.py raspberry_Pi/stage3/modify_packet_stage3.py raspberry_Pi/stage1/enip_cpf.py raspberry_Pi/stage1/CIP_sequence.py Main/preprocess.py raspberry_Pi/stage3/stage3_server.py raspberry_Pi/stage4/bitdump.py bitdump modify_bit search list_to_string reconstruct_packet bit_flip bin_to_hex hex_to_bin bitdump CIP_ReqReadOtherTag CIP_ReqForwardClose CIP_ReqForwardOpen CIP_ConnectionParam CIP_ResponseStatus CIP_ReqConnectionManager CIP_RespAttributesAll _CIPMSPPacketList CIP_MultipleServicePacket CIP_RespForwardOpen CIP_RespSingleAttribute CIP_PathField CIP_Path CIP_RespAttributesList CIP CIP_ReqGetAttributeList ENIP_CPF CPF_AddressDataItem CPF_SequencedAddressItem extract_bits map_ip_address save preprocess read search save train_gbdt train_linear on flip off EMCM_linear bootstrap_linear_model train_linear train_gbdt EMCM_GBDT bootstrap_GBDT_model bootstrap_con train_rfr predict_once train_SVR split_data train_gbdt usl LEShortLenField hexdump XBitEnumField SWAT_P1_WRIO_AI SWAT_P1_RIO_AI SWAT_P1_RIO_DO SWAT_P1_RIO_DI SWAT_P1_PLC SWAT_P2_RIO_DI SWAT_P2_RIO_DO SWAT_P2_RIO_AI SWAT_P3_RIO_AI SWAT_P3_WRIO_AI SWAT_P3_RIO_DI SWAT_P3_PLC SWAT_P3_RIO_DO SWAT_P4_RIO_DO SWAT_P4_RIO_DI SWAT_P4_RIO_AI SWAT_P5_RIO_DO SWAT_P5_RIO_AI SWAT_P5_RIO_DI SWAT_P6_RIO_AI SWAT_P6_RIO_DO SWAT_P6_RIO_DI ENIP_CPF CPF_AddressDataItem CPF_SequencedAddressItem ENIP_UDP ENIP_UDP_SequencedAddress ENIP_UDP_Item P2Orp P4Flow P5FeedPh current_to_signal P1Flow P5PremCond P6BackFlow P3Flow P2Cond P2Flow P5ConcFlow signal_to_current P5FeedFlow P4Hrdss P1Level P2Ph P5PermPress P4Level P5RecFlow P5FeedCond P5PermFlow P5ConcPress P5FeedOrp P5HPumpPress P4Orp P3Level P3DPress LEShortLenField hexdump XBitEnumField SWAT_P1_WRIO_AI SWAT_P1_RIO_AI SWAT_P1_RIO_DO SWAT_P1_RIO_DI SWAT_P1_PLC SWAT_P2_RIO_DI SWAT_P2_RIO_DO SWAT_P2_RIO_AI SWAT_P3_RIO_AI SWAT_P3_WRIO_AI SWAT_P3_RIO_DI SWAT_P3_PLC SWAT_P3_RIO_DO SWAT_P4_RIO_DO SWAT_P4_RIO_DI SWAT_P4_RIO_AI SWAT_P5_RIO_DO SWAT_P5_RIO_AI SWAT_P5_RIO_DI SWAT_P6_RIO_AI SWAT_P6_RIO_DO SWAT_P6_RIO_DI reconstruct_packet bin_to_hex list_to_string bit_flip hex_to_bin bitdump preprocess_message save read save on flip off bitdump on flip off reconstruct_packet bin_to_hex list_to_string bit_flip hex_to_bin bitdump preprocess read handle_packet save ENIP_CPF CPF_AddressDataItem CPF_SequencedAddressItem handle_packet preprocess read handle_packet save read preprocess save read save LEShortLenField hexdump XBitEnumField SWAT_P1_WRIO_AI SWAT_P1_RIO_AI SWAT_P1_RIO_DO SWAT_P1_RIO_DI SWAT_P1_PLC reconstruct_packet bin_to_hex list_to_string bit_flip hex_to_bin bitdump preprocess read handle_packet save ENIP_CPF CPF_AddressDataItem CPF_SequencedAddressItem handle_packet preprocess read handle_packet save read preprocess save read save LEShortLenField hexdump XBitEnumField SWAT_P2_RIO_DI SWAT_P2_RIO_DO SWAT_P2_RIO_AI reconstruct_packet bin_to_hex list_to_string bit_flip hex_to_bin bitdump preprocess read handle_packet save ENIP_CPF CPF_AddressDataItem CPF_SequencedAddressItem handle_packet preprocess read handle_packet save read preprocess save read save LEShortLenField hexdump XBitEnumField SWAT_P3_RIO_AI SWAT_P3_WRIO_AI SWAT_P3_RIO_DI SWAT_P3_PLC SWAT_P3_RIO_DO reconstruct_packet bin_to_hex list_to_string bit_flip hex_to_bin bitdump ENIP_CPF CPF_AddressDataItem CPF_SequencedAddressItem handle_packet preprocess read handle_packet save read preprocess save read save LEShortLenField hexdump XBitEnumField SWAT_P4_RIO_DO SWAT_P4_RIO_DI SWAT_P4_RIO_AI int list join replace bytes insert bin hex hexlify endswith raw range len abs range predict len print join list append range len time replace bytes print list_to_string hexlify bin_to_hex join list extend range len hex_to_bin hexlify bytes PcapReader bitdump mktime save str haslayer read_packet append range strptime hstack close time map_ip_address print zeros array read_csv len close write open fromstring strip close open GradientBoostingRegressor fit LinearSVR fit sort append int list join replace bytes insert bin hex hexlify int list join replace bytes insert bin hex hexlify int list join replace bytes insert bin hex hexlify shape range zeros randint str dump bootstrap_con append range train_linear fit str dump train_gbdt append range bootstrap_con load reshape sort append range predict load reshape sort append zeros range predict RandomForestRegressor fit SVR fit predict RAWMIN EUMIN list map fromstring strip haslayer unhexlify time str accept print get_payload reconstruct_packet IP set_payload off flip bitdump save tolist savetxt range hstack hexlify int read loadtxt split len modify_bit on | yuqiChen94/Active_fuzzer | 4,252 |
yuqirose/tensor_train_RNN | ['time series'] | ['Long-term Forecasting using Higher Order Tensor RNNs'] | trnn_imply.py train_config.py reader.py model_seq2seq.py trnn.py LSTM RNN TLSTM denormalize_colums DataSet DataSetS2S normalize_columns read_data_sets slide_window TrainConfig _linear tensor_train_contraction tensor_network_tt_einsum TensorLSTMCell _outer_product _shape_value _list_to_states rnn_with_feed_prev tensor_rnn_with_feed_prev _shift MultiRNNCell tlstm_cell rnn_cell MultiRNNCell DropoutWrapper MultiRNNCell as_strided strides zeros range _norm_col _denorm_col range load int DataSet print dict round DataSetS2S expand_dims normalize_columns len int get_variable_scope get_shape reshape expand_dims matmul squeeze _get_einsum range einsum len value concatenate ones cumsum concat slice reshape tensor_train_contraction matmul add _outer_product get_variable range append len stack sample_prob deque popleft append copy range len stack | yuqirose/tensor_train_RNN | 4,253 |
yuriautsumi/PersonalizedGP | ['future prediction', 'gaussian processes'] | ["Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression", "Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13)"] | pgp_demo.py data/data_generator.py data/ts_formatter.py utils.py GP.py evaluation_metrics.py wes mae save_results baseGP personalizedGP targetGP process_data jitChol mu sigma generate_demo_data ts_formatter asarray fabs subtract sum len sum mult_func ones abs root_func append vectorize range list concatenate hstack mae to_csv dict intersect1d repeat nan unique zip full wes DataFrame keys range len error trace eye cholesky abs sum asarray astype join arange sort reshape rand hstack shuffle savetxt dirname abspath ts_formatter zeros ravel genfromtxt hstack savetxt vstack unique range len | yuriautsumi/PersonalizedGP | 4,254 |
yuta-hi/bayesian_unet | ['active learning'] | ['Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling'] | chainer_bcnn/functions/loss/noised_cross_entropy.py tests/test_seed.py chainer_bcnn/inference/__init__.py tests/test_inferencer.py tests/test_replay_buffer.py chainer_bcnn/functions/loss/sigmoid_soft_cross_entropy.py tests/test_discriminator.py chainer_bcnn/inference/inferencer.py examples/miccai_endovis_segmentation/preprocess.py chainer_bcnn/models/unet/unet_base.py chainer_bcnn/updaters/__init__.py chainer_bcnn/links/__init__.py chainer_bcnn/data/io/__init__.py chainer_bcnn/extensions/__init__.py chainer_bcnn/models/discriminators/patch_discriminator.py chainer_bcnn/models/discriminators/__init__.py examples/map_synthesis/train_and_test_baseline.py setup.py chainer_bcnn/links/connection/__init__.py chainer_bcnn/links/connection/deconvolution.py chainer_bcnn/data/normalizer/__init__.py chainer_bcnn/functions/loss/noised_mean_squared_error.py chainer_bcnn/updaters/cgan/__init__.py chainer_bcnn/functions/crop.py chainer_bcnn/links/regressor.py chainer_bcnn/models/unet/_helper.py chainer_bcnn/functions/loss/_helper.py tests/test_initializer.py tests/test_normalizer.py chainer_bcnn/visualizer/__init__.py chainer_bcnn/__init__.py chainer_bcnn/functions/accuracy/discrete_dice.py tests/test_mc_sampler.py chainer_bcnn/links/classifier.py tests/test_dataset.py chainer_bcnn/updaters/cgan/lsgan.py chainer_bcnn/models/__init__.py chainer_bcnn/links/connection/convolution.py chainer_bcnn/data/augmentor/__init__.py examples/curve_regression/train_and_test_epistemic.py chainer_bcnn/datasets/volume.py tests/test_model.py examples/curve_regression/train_and_test_epistemic_aleatoric.py chainer_bcnn/data/normalizer/image.py chainer_bcnn/functions/loss/__init__.py chainer_bcnn/initializers/bilinear_upsample.py examples/mnist_classification/train_and_test_epistemic.py tests/test_augmentator_3d.py examples/miccai_endovis_segmentation/train_and_test_epistemic.py chainer_bcnn/extensions/print_report.py examples/map_synthesis/preprocess.py chainer_bcnn/models/unet/unet.py chainer_bcnn/extensions/parameter_statistics_x.py tests/test_augmentator_2d.py chainer_bcnn/models/unet/bayesian_unet.py chainer_bcnn/initializers/__init__.py chainer_bcnn/datasets/__init__.py chainer_bcnn/functions/mc_dropout.py chainer_bcnn/functions/accuracy/__init__.py chainer_bcnn/utils/__init__.py chainer_bcnn/data/augmentor/volume.py chainer_bcnn/functions/__init__.py chainer_bcnn/extensions/validator.py examples/map_synthesis/train_and_test_pix2pix.py chainer_bcnn/updaters/cgan/dcgan.py chainer_bcnn/updaters/cgan/_replay_buffer.py chainer_bcnn/data/augmentor/image.py chainer_bcnn/functions/loss/dice.py chainer_bcnn/models/unet/__init__.py tests/test_visualizer.py chainer_bcnn/functions/loss/jaccard.py chainer_bcnn/functions/accuracy/discrete_jaccard.py chainer_bcnn/links/connection/pixel_shuffle_upsampler.py chainer_bcnn/visualizer/image.py chainer_bcnn/links/normalization/instance_normalization.py chainer_bcnn/data/io/mhd.py chainer_bcnn/data/normalizer/volume.py chainer_bcnn/data/__init__.py tests/test_dice_loss.py chainer_bcnn/models/discriminators/discriminator_base.py chainer_bcnn/datasets/image.py chainer_bcnn/extensions/log_report.py chainer_bcnn/functions/stride_pooling.py chainer_bcnn/links/mc_sampler.py chainer_bcnn/links/normalization/__init__.py shear_matrix salt_noise resize PoissonNoise clip zoom_matrix GaussNoise speckle_noise gauss_noise pepper_noise apply_transform SpeckleNoise Crop ResizeCrop transform_matrix_offset_center translate_matrix Affine SaltNoise flip crop Flip affine poisson_noise rotation_matrix PepperNoise shear_matrix resize PoissonNoise zoom_matrix GaussNoise apply_transform SpeckleNoise Crop ResizeCrop transform_matrix_offset_center translate_matrix Affine SaltNoise flip crop Flip affine rotation_matrix PepperNoise DataAugmentor Operation _str2array _get_dim read _array2str read_memmap write _is_compression_preferable _str2bool read_header _check_header_sanity load_image save_image Divide quantize subtract Clip divide Quantize Subtract clip Subtract Divide Clip Quantize Normalizer Operation ImageDataset _inspect_n_args VolumeSliceDataset VolumeDataset BaseDataset load_crossval_list train_valid_split LogReport ParameterStatisticsX _to_cpu PrintReport Validator crop_3d crop crop_2d crop_nd mc_dropout stride_pooling_2d stride_pooling_nd stride_pooling_3d _pair sigmoid_discrete_dice softmax_discrete_dice DiscreteDice DiscreteJaccard softmax_discrete_jaccard sigmoid_discrete_jaccard dice softmax_dice sigmoid_dice sigmoid_dice_loss softmax_dice_loss softmax_jaccard_loss softmax_jaccard jaccard sigmoid_jaccard_loss sigmoid_jaccard noised_sigmoid_soft_cross_entropy noised_sigmoid_cross_entropy noised_softmax_cross_entropy noised_mean_squared_error noised_squared_error sigmoid_soft_cross_entropy SigmoidSoftCrossEntropy to_onehot _variable_to_array Inferencer _concat_arrays _split_predictions _bilinear_kernel_3d BilinearUpsample _bilinear_kernel_2d _kernel_center _bilinear_kernel_nd _get_value get_values Classifier _concat_variables _concat_samples _predict MCSampler Regressor DeformableConvolution2D DepthwiseConvolution2D DeformableConvolution2DSampler Convolution3D DilatedConvolution2D Convolution2D ConvolutionND _pair Deconvolution2D Deconvolution3D _pair DeconvolutionND PixelShuffleUpsamplerND PixelShuffleUpsampler3D _pair PixelShuffleUpsampler2D InstanceNormalization _show_statistics _len_children Model _freeze_layers Block DiscriminatorBase PatchDiscriminator BayesianUNet _check_dropout_param UNet UNetContractionBlock UNetBaseBlock _n_spatial_unit UNetBase UNetExpansionBlock link_hook norm pool initializer dropout activation upconv conv _mapper DCGANUpdater LSGANUpdater ReplayBuffer CGANUpdater _update get_logstamp find_latest_snapshot fixed_seed get_git_revision boundary lut clim cast ImageVisualizer Visualizer Dataset BayesianMLP main test_phase train_phase Dataset BayesianMLP noise main test_phase train_phase my_hook download preprocess_map main train_phase build_generator eval_metric get_normalizer get_augmentor get_dataset build_discriminator main test_phase train_phase my_hook unzip preprocess_train preprocess_labels preprocess_test download preprocess_images eval_metric get_dataset main test_phase train_phase Dataset BayesianConvNet main test_phase train_phase main main main test_3d test_2d _dice main dump_graph main Dataset test main test_compare_model main _calc_uncertanty_from_mc_samples main dump_graph main main test_regression main test_classification_sparse test_classification swapaxes swapaxes INTER_CUBIC swapaxes INTER_NEAREST INTER_LINEAR stack rollaxis dot float array array array array array zoom_matrix rotation_matrix shear_matrix transform_matrix_offset_center translate_matrix dot shape any eye apply_transform ceil int size max ceil int size min dtype min astype float max dot zeros dot zeros isinstance join dtype _get_dim itemsize getsize array dirname read_header prod join list _get_dim itemsize setflags getsize reshape reversed copy array dirname read_header frombuffer prod zlib_decompress _str2array format hasattr warn len update deepcopy uint8 pop format str name astype ascontiguousarray _is_compression_preferable reversed warn shape splitext _check_header_sanity zlib_compress len read basename transpose splitext imread basename imwrite transpose write dirname splitext makedirs round clip isinstance reshape ndim swapaxes isinstance reshape ndim mean swapaxes isinstance reshape ndim swapaxes std signature int list asarray arange isinstance __copy__ delete files choice keys len tolist read_excel ndarray to_cpu isinstance append range ndim slice tuple ndim parse_kwargs apply mask Dropout hasattr _pair _pair ndim dtype argmax dtype argmax dtype asarray reshape concat mean to_onehot get_array_module sum softmax dtype asarray reshape concat mean to_onehot get_array_module sum softmax normal exp size shape get_array_module max range len normal exp size shape get_array_module max range len normal exp size shape get_array_module max range len sum size exp len dtype astype get_array_module rollaxis asarray ndarray isinstance isinstance _concat_arrays append range len data items to_cpu isinstance Variable enumerate len _kernel_center abs _kernel_center abs _bilinear_kernel_3d _bilinear_kernel_2d isinstance partial isinstance isinstance _concat_variables append range len square mean log2 reduce_mean reduce_var children name disable_update print getattr print children name _show_statistics_depth warn pop deepcopy issubclass LinkHook Initializer isfunction deepcopy get deepcopy pop link_hook initializer add_hook _mapper get deepcopy pop link_hook initializer add_hook _mapper update isinstance seed available warn _find_latest_snapshot join append get_git_revision now strftime uint8 astype copy LUT zeros merge astype float32 isinstance batchsize LogReport Trainer SerialIterator run use setup set_xlabel Adam scatterplot title dump_graph savefig legend add_hook load_npz snapshot plot set_xlim close tight_layout Evaluator StandardUpdater PlotReport Regressor ProgressBar decay resume PrintReport join extend set_ylabel WeightDecay figure to_gpu save_npz ravel out set_ylim batchsize SerialIterator Inferencer out run use set_xlabel scatterplot title savefig legend load_npz MCSampler errorbar plot set_xlim close tight_layout join set_ylabel figure ravel to_gpu set_ylim add_argument ArgumentParser parse_args out makedirs rand dirname makedirs join glob astype float32 shape resize load_image save_image enumerate makedirs ParallelUpdater Validator LinearShift available ImageVisualizer EarlyStoppingTrigger MultiprocessIterator enumerate print min snapshot_object gpu len format print batchsize get_normalizer get_augmentor gpu PatchDiscriminator BayesianUNet save_args DCGANUpdater build_discriminator find_latest_snapshot eval_metric clim xticks abs yticks subplot ndarray transpose tolist imshow commonpath load_image append astype mean zip enumerate isinstance print float32 makedirs OrderedDict partial train_valid_split getter Normalizer Subtract2D add Flip2D ResizeCrop2D DataAugmentor add dirname makedirs join relpath copyfile tqdm dirname commonpath makedirs join dtype imwrite relpath tqdm shape dirname commonpath zeros imread makedirs join basename unzip glob print preprocess_labels download preprocess_images join basename unzip glob print preprocess_labels download preprocess_images array partial Classifier grid pearsonr Normalizer Flip2D Affine2D Clip2D Subtract2D Divide2D add DataAugmentor set_yticklabels violinplot len sum show subplot transpose ylabel apply shape imshow SpeckleNoise2D astype ResizeCrop2D time xlabel float32 summary Affine3D image save_image load_image expand_dims label Crop3D Flip3D show subplot print colorbar OrderedDict ImageDataset get_example shape imshow show subplot print colorbar OrderedDict get_example shape imshow VolumeDataset test_3d test_2d root bool astype call build_computational_graph splitext model show_statistics PatchDiscriminator dump_graph count_params save_args use isinstance print shape SerialIterator __class__ to_gpu Inferencer Dataset MCSampler run BayesianUNet test data subplot show print colorbar shape imshow abs crop Deconvolution2D test_compare_model Convolution2D resize imread mean var data _calc_uncertanty_from_mc_samples square mean repeat abs MCSampler freeze_layers colorbar cudnn_deterministic rand random rand save add_example randint range ImageVisualizer rand save add_example range ImageVisualizer rand save add_example range ImageVisualizer test_regression test_classification_sparse test_classification | yuta-hi/bayesian_unet | 4,255 |
yuvalpinter/Mimick | ['word embeddings'] | ['Mimicking Word Embeddings using Subword RNNs'] | mimick/util.py mimick/consts.py scripts/output_word_vectors.py mimick/nearest_vecs.py test_model.py mimick/inter_nearest_vecs.py mimick/make_dataset.py make_dataset.py morphotag_eval_unittest.py utils.py mimick/model.py model.py evaluate_morphotags.py f1 Evaluator read_file get_att_prop LSTMTagger get_word_chars Test get_att_prop get_next_att_batch LSTMTagger read_pickle_embs read_text_embs morphotag_strings sortvals read_pretrained_embeddings CSVLogger split_tagstring dist dist CNNMimick LSTMMimick wordify dist charseq read_pickle_embs wordify read_text_embs average output_word_vector read_pickle_embs read_text_embs Counter items list Counter info next items list uniform array len dict load update list print dict zip open append strip split items list join sorted append range len word_emb cosine append len str write | yuvalpinter/Mimick | 4,256 |
yuvalpinter/m3gm | ['link prediction'] | ['Predicting Semantic Relations using Global Graph Properties'] | wn_exploration/create_wordnet_data.py consts.py multigraph_utils.py predict_wn18.py math_utils.py metrics.py pretrain_assoc.py create_wn18_data.py optimize_alpha_per_relation.py io_utils.py ergm_feats.py training.py wn_version_utils/embeddings_21-30.py embed_from_words.py model.py lemmas stars_count two_rel_star_counts one_rel_star_counts edge_count three_rel_star_counts mutual_edges self_loops load_graphs timeprint load_prediction_dataset load_embeddings softmaxify dyagonalize h_at_n mrr mq MultiGraphErgm find_key sources find_cyclic_key csr_eye joint_graph joint_n_graphs co_graph singleton_feature_map targets cyclic_triads join_sets canonicalize_name to_csr_matrix edges tupstr eval node_loop train_iteration eval node_iteration AssociationModel macro_node_iteration macro_loops to_csr_matrix offstr offset_pos_from_emb_key pos_of_set join lower lemma_names sum sum sum print format now load open load open items list endswith uniform array len list exp array sum max values eye append extend enumerate len range nonzero permutations range len range lil_matrix zip reduce combinations list range len list format score_from_source_cache print write scalar_value score_from_target_cache zip append values len values list Counter sum range format timeprint mrr keys rerank items node_loop source_ranker_cache print target_ranker_cache write extend tqdm average mq h_at_n items list rand_nodes format timeprint shuffle tqdm range esum nll scalarInput neg_samp list renew_cg append range update format debug timeprint choice rectify enumerate remove backward write scalar_value word_assoc_score sources score_from_source_cache targets score_from_target_cache append len esum vocab_size values list as_array renew_cg append softmaxify update add_edge format score_from_source_cache debug timeprint targets zip rectify rescore norm backward scalar_value dy_score no_assoc_bp extend write remove_edge len macro_node_iteration list format remove rescore rand_nodes score timeprint source_ranker_cache shuffle tqdm skip_symmetrics vocab_size append zeros keys range len | yuvalpinter/m3gm | 4,257 |
yuweihao/KERN | ['graph generation', 'scene graph generation'] | ['Knowledge-Embedded Routing Network for Scene Graph Generation'] | dataloaders/blob.py lib/surgery.py lib/draw_rectangles/setup.py dataloaders/image_transforms.py lib/object_detector.py lib/ggnn.py models/train_detector.py lib/resnet.py lib/evaluation/sg_eval.py prior_matrices/generate_knowledge.py models/eval_rels.py lib/fpn/roi_align/functions/roi_align.py lib/fpn/proposal_assignments/proposal_assignments_postnms.py lib/get_union_boxes.py lib/fpn/anchor_targets.py lib/fpn/roi_align/_ext/roi_align/__init__.py lib/fpn/proposal_assignments/proposal_assignments_rel.py lib/evaluation/sg_eval_all_rel_cates.py lib/fpn/nms/functions/nms.py lib/fpn/proposal_assignments/rel_assignments.py visualization/visualize_sgcls.py lib/fpn/box_intersections_cpu/setup.py lib/fpn/proposal_assignments/proposal_assignments_det.py models/train_rels.py lib/fpn/nms/build.py lib/pytorch_misc.py lib/fpn/roi_align/build.py lib/fpn/roi_align/modules/roi_align.py lib/evaluation/sg_eval_slow.py dataloaders/visual_genome.py config.py lib/evaluation/test_sg_eval.py lib/fpn/proposal_assignments/proposal_assignments_gtbox.py lib/kern_model.py lib/fpn/box_utils.py draw_figures_in_the_paper/draw_figures.py lib/fpn/generate_anchors.py stanford_path path ModelConfig random_crop Grayscale Contrast Brightness SquarePad RandomOrder Sharpness Hue VGDataLoader load_image_filenames VG load_graphs assertion_checks vg_collate load_info draw_difference_compare draw_scatter draw_compare draw_bar union_boxes UnionBoxesAndFeats GGNNRel GGNNObj GGNNRelReason KERN GGNNObjReason VRFC Result gather_res filter_roi_proposals load_resnet filter_det load_vgg RPNHead ObjectDetector transpose_packed_sequence_inds arange Flattener intersect_2d get_ranking enumerate_imsize const_row to_variable pairwise batch_map diagonal_inds right_shift_packed_sequence_inds to_onehot gather_nd argsort_desc optimistic_restore cache np_to_variable random_choose clip_grad_norm update_lr save_net batch_index_iterator de_chunkize load_net print_para accuracy nonintersecting_2d_inds enumerate_by_image unravel_index ResNet resnet_l4 vgg_fc Bottleneck resnet_l123 resnet101 filter_dets _triplet calculate_mR_from_evaluator_list evaluate_from_dict BasicSceneGraphEvaluator eval_entry evaluate_recall _compute_pred_matches _triplet evaluate_from_dict BasicSceneGraphEvaluator evaluate_recall _compute_pred_matches _triplet iou BasicSceneGraphEvaluator eval_relation_recall _relation_recall _triplet eval_relation_recall _relation_recall iou anchor_target_layer nms_overlaps bbox_loss bbox_intersections center_size point_form bbox_overlaps bbox_preds generate_anchors _scale_enum _whctrs _ratio_enum generate_base_anchors _mkanchors _nms_single_im apply_nms _sel_inds proposal_assignments_det proposal_assignments_gtbox RoIAlignFunction RoIAlign RoIAlignAvg RoIAlignMax _import_symbols val_batch val_epoch val_batch train_epoch train_batch val_epoch train_batch train_epoch get_optim val_batch box_filter get_obj_cooccurrence_mat get_counts visualize_pred_gt stanford_path path ModelConfig random_crop Grayscale Contrast Brightness SquarePad RandomOrder Sharpness Hue VGDataLoader load_image_filenames VG load_graphs assertion_checks vg_collate load_info draw_difference_compare draw_scatter draw_compare draw_bar union_boxes UnionBoxesAndFeats GGNNRel GGNNObj GGNNRelReason KERN GGNNObjReason VRFC Result gather_res filter_roi_proposals load_resnet filter_det load_vgg RPNHead ObjectDetector transpose_packed_sequence_inds arange Flattener intersect_2d get_ranking enumerate_imsize const_row to_variable pairwise batch_map diagonal_inds right_shift_packed_sequence_inds to_onehot gather_nd argsort_desc optimistic_restore cache np_to_variable random_choose clip_grad_norm update_lr save_net batch_index_iterator de_chunkize load_net print_para accuracy nonintersecting_2d_inds enumerate_by_image unravel_index ResNet resnet_l4 vgg_fc Bottleneck resnet_l123 resnet101 filter_dets _triplet calculate_mR_from_evaluator_list evaluate_from_dict BasicSceneGraphEvaluator eval_entry evaluate_recall _compute_pred_matches _triplet evaluate_from_dict BasicSceneGraphEvaluator evaluate_recall _compute_pred_matches _triplet iou BasicSceneGraphEvaluator eval_relation_recall _relation_recall _triplet eval_relation_recall _relation_recall iou anchor_target_layer nms_overlaps bbox_loss bbox_intersections center_size point_form bbox_overlaps bbox_preds generate_anchors _scale_enum _whctrs _ratio_enum generate_base_anchors _mkanchors _nms_single_im apply_nms _sel_inds proposal_assignments_det proposal_assignments_gtbox RoIAlignFunction RoIAlign RoIAlignAvg RoIAlignMax _import_symbols val_batch val_epoch val_batch train_epoch train_batch val_epoch train_batch train_epoch get_optim val_batch box_filter get_obj_cooccurrence_mat get_counts visualize_pred_gt int size min crop astype int32 randint max column_stack tuple size join format append exists enumerate File astype len append zeros bbox_overlaps range column_stack load sorted open append reduce Blob arange xlabel grid ylabel tight_layout scatter savefig figure append array arange text grid ylabel copy xlim tight_layout bar ylim savefig figure zip append xticks array arange text grid ylabel copy xlim tight_layout bar ylim savefig figure legend zip append xticks array arange text grid ylabel xlim tight_layout bar ylim savefig figure zip append tick_params xticks array cat data Variable sort squeeze clone apply_nms nonzero zero_ cpu max get_device cuda apply_nms cat resnet101 vgg16 items join format print size set copy_ keys state_dict next tee size topk squeeze long size long arange fill_ items list File create_dataset items list asarray format print size File from_numpy copy_ range format print size f append batch_index_iterator Variable cuda LongTensor is_available join sorted format items named_parameters append topk size t eq mul_ expand_as append sum max ones diag where column_stack all Variable type cuda size dim range clone int numpy enumerate size long arange int enumerate append clone size min contiguous choice get_device cuda concatenate cumsum copy append range len append range zip items norm format sorted print size mul_ float print param_groups format load_url ResNet load_state_dict resnet101 resnet101 layer4 classifier vgg16 view sort size numpy max sum evaluate_recall intersect_2d ones len astype reduce union1d prod argsort_desc append float argmax max column_stack column_stack _triplet format print prod _compute_pred_matches column_stack int concatenate intersect_2d reshape any zip append items list replace print isnan print_stats len evaluate_scene_graph_entry in1d copy zip list items min items list _triplet ones min astype copy _relation_recall append prod column_stack float32 range astype int32 iou astype intersect1d zip enumerate minimum maximum argmax max reshape vstack ravel array range enumerate int generate_anchors sum ones reshape where argmax bbox_overlaps column_stack smooth_l1_loss size center_size log cat center_size exp ndarray isinstance ndarray isinstance ndarray isinstance clamp size min expand max bbox_intersections ndarray isinstance expand_as view clamp size min expand max meshgrid stack arange generate_base_anchors vstack _ratio_enum array hstack sqrt _whctrs _mkanchors _whctrs _mkanchors _nms_single_im int size append cat IntTensor sort size contiguous min nms_apply long int max sort squeeze _sel_inds numpy nonzero cuda get_device append round bbox_overlaps range cat size min choice int sort size min clone contiguous random_choose enumerate_by_image nonzero long cat append dir getattr _wrap_function append eval_entry enumerate mode time print_interval format train_batch print mean append train enumerate len data od_box_priors bbox_loss backward od_box_deltas od_box_targets rpn_scores squeeze size Series zero_grad rpn_box_deltas od_obj_labels clip_grad_norm step od_obj_dists cross_entropy val_batch evaluate concatenate print coco COCOeval summarize accumulate eval loadRes append enumerate numpy adam Adam SGD use_ggnn_obj rm_obj_dists values rel_dists sum rm_obj_labels num_gpus all_modes mode print_stats calculate_mR_from_evaluator_list items list num_classes transpose copy set nonzero eye zeros expand_dims range len copy zip zeros range len ones_like fill_diagonal where column_stack subplots axis Digraph max column_stack str defaultdict node tolist shape imshow render savefig append imread close tight_layout attr enumerate join text edge add_patch Rectangle zeros array | yuweihao/KERN | 4,258 |
yuweijiang/HGL-pytorch | ['visual commonsense reasoning', 'graph learning'] | ['Heterogeneous Graph Learning for Visual Commonsense Reasoning'] | eval_for_leaderboard.py models/train.py dataloaders/bert_field.py data/get_bert_embeddings/__init__.py train.py utils/pytorch_misc.py dataloaders/vcr.py models/__init__.py dataloaders/mask_utils.py data/get_bert_embeddings/vcr_loader.py dataloaders/box_utils.py eval_q2ar.py data/get_bert_embeddings/modeling.py data/get_bert_embeddings/tokenization.py data/get_bert_embeddings/pretrain_on_vcr.py utils/detector.py utils/cvm.py models/eval_q2ar.py data/get_bert_embeddings/optimization.py models/eval_for_leaderboard.py data/get_bert_embeddings/extract_features.py config.py models/multiatt/model.py models/multiatt/henG.py data/get_bert_embeddings/create_pretraining_data.py TrainingInstance create_int_feature create_training_instances write_instance_to_example_files create_float_feature create_masked_lm_predictions _truncate_seq_pair model_fn_builder alignment_gather get_shape_list embedding_postprocessor create_attention_mask_from_input_mask reshape_from_matrix reshape_to_matrix assert_rank layer_norm_and_dropout attention_layer layer_norm create_initializer get_assignment_map_from_checkpoint embedding_lookup create_model dropout gelu BertConfig transformer_model get_activation BertModel create_optimizer AdamWeightDecayOptimizer get_masked_lm_output gather_indexes get_next_sentence_output input_fn_builder _decode_record model_fn_builder FullTokenizer BasicTokenizer WordpieceTokenizer printable_text convert_tokens_to_ids load_vocab whitespace_tokenize convert_to_unicode _is_whitespace _is_control _is_punctuation retokenize_with_alignment data_iter _fix_tokenization InputFeatures input_fn_builder data_iter_test InputExample process_ctx_ans_for_bert fix_item convert_examples_to_features BertField load_image to_tensor_and_normalize resize_image make_mask _spaced_points VCR _fix_tokenization collate_fn VCRLoader Graph_reasoning HGL_Model _Context_voted_module RegionCVM CVM SimpleDetector _load_resnet_imagenet _load_resnet segment_ids tokens list convert_tokens_to_ids masked_lm_labels SerializeToString OrderedDict Example append masked_lm_positions value create_int_feature TFRecordWriter close info keys enumerate join write create_float_feature len Feature Feature data_iter TrainingInstance list tokens print shuffle max_predictions_per_seq dupe_factor create_masked_lm_predictions convert_examples_to_features masked_lm_prob append keys range enumerate int list sorted namedtuple min len shuffle index set add masked_lm append label round max enumerate pop len astype float16 zeros max enumerate sqrt erf lower name group OrderedDict match list_variables layer_norm dropout one_hot reshape get_shape_list matmul expand_dims get_variable as_list one_hot slice reshape get_shape_list len layer_norm_and_dropout extend matmul append range get_variable ones reshape get_shape_list float32 cast dense dropout multiply get_shape_list reshape transpose float32 matmul transpose_for_scores expand_dims sqrt cast softmax float reshape_to_matrix int get_shape_list append reshape_from_matrix range reshape_to_matrix as_list assert_rank name shape append enumerate reshape ndims get_shape_list name integer_types ndims isinstance get_variable get_pooled_output value BertModel trainable_variables list constant get_or_create_global_step gradients clip_by_global_norm group float32 apply_gradients cast int32 zip polynomial_decay CrossShardOptimizer AdamWeightDecayOptimizer gather_indexes reshape get_shape_list range gather parse_single_example to_int32 list keys binary_type text_type isinstance isinstance PY3 PY2 OrderedDict append strip split category category startswith startswith category ord input_type_ids input_mask append unique_id input_ids join text_b InputFeatures convert_tokens_to_ids info append unique_id text_a enumerate len defaultdict isinstance append values enumerate _fix_tokenization append tokenize enumerate retokenize_with_alignment join format print min max len pad size min resize _spaced_points reshape Path meshgrid zeros BertField SequenceLabelField as_tensor_dict zip Batch stack get_text_field_mask long load_url resnet50 range load_state_dict resnet50 range | yuweijiang/HGL-pytorch | 4,259 |
yuxingch/DialectGram | ['word embeddings'] | ['DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions'] | model/word2vec.py geodist_eval.py dialectgram_word_distribution.py util.py geodist_run.py model/__init__.py word_list.py plot.py model/dataloader.py syntactic.py synt_eval.py frequencies.py dialectgram_eval.py model/dialectgram.py model/base.py model/frequency.py us_state_abbrev.py freq_eval.py model/geodist.py cosine_distance manhattan_distance euclidean_distance score score manhattan_distance main get_state ColorBar score sub_keycounter pos_separate categorical_counter load_textfile vec2dict load_data load_mat_data clean_tweets print_stats build_vocab contains ModelBase TwitterCorpus in_vocab Index DialectGramModel FrequencyModel build_state_dict mkdir_p GeodistModel SkipGram str transform search ColorBar save add_to Figure str list iterrows Map defaultdict get_state from_dict map sum to_color write_json zip keys enumerate print to_csv write_html update_layout dropna array read_csv makedirs rfind items list pos_separate items list sub_keycounter sum values categorical_counter update Counter split sub compile print sum len split makedirs | yuxingch/DialectGram | 4,260 |
yuyuyu123456/CBIS-DDSM | ['breast cancer detection'] | ['Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography'] | dm_resnet.py ddsm_train/heatmap_score.py dm_inference.py dm_region.py ddsm_train/patch_clf_train.py dm_image.py dm_keras_ext.py dm_preprocess.py ddsm_train/sample_patches_combined.py ddsm_train/sample_patches_main.py meta.py dm_enet.py dm_multi_gpu.py ddsm_train/image_clf_train.py MultiViewDLElasticNet DLRepr DMImageDataGenerator get_roi_patches DMCandidROIIterator clust_kpts add_img_margins sweep_img_patches read_resize_img read_img_for_pred index_balancer get_prob_heatmap DMExamListIterator DMImgListIterator DMNumpyArrayIterator DMDirectoryIterator crop_img to_sparse pred_2view_img_list make_pred_case Yaroslav get_dl_model DMAucModelCheckpoint create_optimizer DMFlush flip_all_img robust_load_model do_3stage_training do_2stage_training DMMetrics load_dat_ram make_parallel DMImagePreprocessor region_features topK_region_idx total_area prob_heatmap_features global_max_intensity _shortcut basic_block_org _residual_block bottleneck_org add_top_layers _vgg_block ResNetBuilder basic_block _conv_bn_relu bottleneck MultiViewResNetBuilder main _bn_relu_conv DMMetaManager run run run create_blob_detector const_filename sample_blob_negatives crop_val overlap_patch_roi sample_hard_negatives sample_patches run create_blob_detector const_filename sample_blob_negatives crop_val overlap_patch_roi sample_hard_negatives sample_patches run zeros append concatenate sort choice zeros sum len int float astype IMREAD_GRAYSCALE resize IMREAD_UNCHANGED imread pixel_array equalizeHist astype read_resize_img shape zeros int ndarray isinstance pt zeros clip enumerate KMeans array fit int equalizeHist astype copy append float round range isinstance reshape add_img_margins sweep_img_patches read_resize_img segment_breast preprocess append zeros predict predict_on_batch mean stack append max columns from_records concat stack append prob_heatmap_features flip_axis load_model append next Model Input Yaroslav load_model print NNet output Model flush print DMFlush EarlyStopping compile fit_generator ReduceLROnPlateau append ModelCheckpoint flush flush layers isinstance print DMFlush EarlyStopping fit_generator ReduceLROnPlateau append ModelCheckpoint compile append outputs range len pop str list update region_features zeros_like topK_region_idx min enumerate append label keys range regionprops len add heatmap_layer model0 output add_vgg_blocks add Model Dense softmax add_fc_layers add_residual_blocks get_weights Input set_weights compile build_resnet_50 get_dl_model DMImageDataGenerator const_filename read_img_for_pred make_parallel get_prob_heatmap open add_top_layers tolist getenv shape append dump RandomState unique flush enumerate int set_index sort_index print reshape isfile ravel read_csv len DMAucModelCheckpoint do_2stage_training where flow save load_dat_ram load_model flow_from_directory load_weights calc_test_auc isinstance nb_sample do_3stage_training evaluate_generator insert str join append crop_val sum astype copy int SimpleBlobDetector_Params split RETR_TREE join int flush RandomState CHAIN_APPROX_SIMPLE print toimage findContours add_img_margins astype copy boundingRect save randint argmax moments split boundingRect save argmax RETR_TREE crop_val RandomState findContours astype copy moments flush join int CHAIN_APPROX_SIMPLE print toimage add_img_margins randint split permutation boundingRect save argmax RETR_TREE RandomState findContours astype copy detect moments flush join int CHAIN_APPROX_SIMPLE print toimage add_img_margins split join write_pat_list create_blob_detector startswith do_sampling get_loc train_test_split overlap_patch_roi | yuyuyu123456/CBIS-DDSM | 4,261 |
yuzhe630/adder-DSE | ['active learning'] | ['Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach'] | src/sweep.py sweep writeResults findPrefixSeq writerows writer join str close writerows append range open genfromtxt data_file open writer seed sorted list transpose tolist exit findPrefixSeq SVR shape append fit_transform range predict format insert close shuffle set RobustScaler join print writerow fit repeat array makedirs | yuzhe630/adder-DSE | 4,262 |
yuzhimanhua/MetaCat | ['document classification'] | ['Minimally Supervised Categorization of Text with Metadata'] | data_preprocess.py eval.py gge/preprocess.py load_data.py main.py gge/postprocess.py model.py gen.py label_expansion augment pseudodocs seed_expansion load_cnn extract_keywords pad_sequences load_rnn build_input_data_cnn load_keywords build_input_data_rnn read_file clean_str load_dataset preprocess_doc build_vocab write_output normalize load_embedding HierAttLayer WSTC dot_product f1 AttentionWithContext ConvolutionLayer str sorted list transpose len makedirs write close dot open append zeros array range enumerate str format seed_expansion print min fit makedirs write close open append VonMisesFisherMixture range enumerate len int norm exp print ones choice dot sample_vMF zeros range len int concatenate print flatten zeros range len asarray sub append max range len chain Counter array zeros enumerate join int asarray todense readlines len vocabulary_ average TfidfVectorizer open append fit_transform range enumerate split join format print readlines open enumerate append split permutation max seed pad_sequences load_keywords sum range preprocess_doc build_vocab format unique int extract_keywords print min build_input_data_cnn average read_file std len permutation build_input_data_rnn max seed pad_sequences load_keywords sum range preprocess_doc build_vocab format unique int extract_keywords print min average read_file std len norm vocab join norm format print startswith load_word2vec_format exists join format print len zeros enumerate f1_score int64 astype append Input Model Input | yuzhimanhua/MetaCat | 4,263 |
yxgeee/FD-GAN | ['person re identification'] | ['FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification'] | fdgan/networks.py reid/models/__init__.py reid/evaluation_metrics/ranking.py reid/utils/serialization.py reid/feature_extraction/database.py reid/datasets/market1501.py baseline.py fdgan/utils/visualizer.py reid/__init__.py train.py reid/evaluators.py reid/feature_extraction/__init__.py reid/evaluation_metrics/classification.py reid/datasets/dukemtmc.py reid/datasets/cuhk03.py fdgan/losses.py reid/utils/meters.py reid/models/embedding.py fdgan/model.py reid/feature_extraction/cnn.py reid/utils/data/sampler.py reid/utils/data/__init__.py reid/utils/data/transforms.py fdgan/options.py reid/trainers.py reid/utils/data/preprocessor.py reid/utils/osutils.py reid/utils/__init__.py reid/models/multi_branch.py reid/models/resnet.py reid/evaluation_metrics/__init__.py reid/utils/data/dataset.py fdgan/utils/util.py reid/datasets/__init__.py reid/utils/logging.py fdgan/utils/html.py get_data main get_data main GANLoss FDGANModel get_norm_layer weights_init_normal remove_module_key init_weights CustomPoseGenerator get_scheduler print_network set_bn_fix NLayerDiscriminator Options HTML print_numpy diagnose_network mkdirs mkdir save_image tensor2im Visualizer extract_embeddings evaluate_all CascadeEvaluator pairwise_distance extract_features SiameseTrainer BaseTrainer CUHK03 DukeMTMC Market1501 names create get_dataset accuracy mean_ap _unique_sample cmc extract_cnn_feature FeatureDatabase EltwiseSubEmbed SiameseNet ResNet resnet50 resnet152 resnet34 resnet18 resnet101 names create Logger AverageMeter mkdir_if_missing load_checkpoint copy_state_dict read_json save_checkpoint write_json to_numpy to_torch Dataset _pluck Preprocessor RandomPairSampler _choose_from RandomSizedEarser RectScale RandomSizedRectCrop join create val list gallery Compose set query DataLoader Preprocessor Normalize workers batch_size SGD get_data query save_checkpoint Logger arch dataset SiameseTrainer cuda max seed create CascadeEvaluator data_dir logs_dir EltwiseSubEmbed dirname load_state_dict width range val height format SiameseNet combine_trainval resume lr manual_seed join np_ratio gallery evaluate print load_checkpoint adjust_lr train epochs split trainval save niter_decay embed_model dataroot checkpoints print_current_errors print_reid_results name trainval get_current_errors update_learning_rate display_current_results get_current_visuals parse pose_aug plot_current_errors reset_model_status float enumerate time set_input Visualizer FDGANModel reset niter optimize_parameters len data normal constant __name__ apply BatchNorm2d partial InstanceNorm2d LambdaLR print parameters pop list keys eval __name__ transpose numpy array tile print parameters fromarray save print float64 astype flatten shape mkdir makedirs update val time format model Variable print AverageMeter eval avg cuda range cat len update extract_cnn_feature time format val print AverageMeter OrderedDict eval avg zip enumerate len list view mm expand t cat transform sum addmm_ values len print format mean_ap warn topk size t eq mul_ expand_as append sum max zeros list items choice asarray arange defaultdict astype argsort shape _unique_sample int32 zip append to_numpy range zeros enumerate len asarray arange astype average_precision_score argsort shape int32 append to_numpy range to_torch remove model register_forward_hook OrderedDict eval cpu cuda append makedirs dirname mkdir_if_missing join copy dirname save mkdir_if_missing load format print isfile data items list isinstance print size set copy_ add keys state_dict is_tensor list map split append enumerate choice | yxgeee/FD-GAN | 4,264 |
yxinjiang/Unet-for-foreground-segmentation | ['semantic segmentation'] | ['TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation'] | crf.py train.py test_only.py unet_models.py eval.py dataset.py train_run.py example.py dataset_pre.py croppreprocessor.py dice_loss.py dense_crf CropPreprocessor PairDataset RandomFlip save_dict2txt dataset_mask_processing ToTensor read_lines_txt CustomDataset Resize RandomCrop get_key normalize ColorJitter resize_img create_dataset_file TestDataset CropPreprocessor walklevel check_file_exits TrainValDataset get_camvid_dataloader create_pair_dataset_file PreProcessor create_DUTS_dataset_file randomcrop create_camvid_dataset_file normalize CAMDataset visualize dice_coeff DiceCoeff eval_net get_model mask_overlay run_train_camvid_dataloader run_train_camvid_dataset run_train_val test_customer_img_list print_network ensure_dir Session run_test find_max_contour test_customer_img_list print_network ensure_dir Session run_test UNet16 UNet11 Interpolate ConvRelu unet11 AlbuNet conv3x3 DecoderBlockV2 DecoderBlock setUnaryEnergy addPairwiseGaussian reshape addPairwiseBilateral ascontiguousarray append inference expand_dims DenseCRF2D percentile clip items list all close write open read_lines_txt get_key save open fromarray list shape list_images save_dict2txt range update replace astype mkdir keys join uint8 print reshape array split print read_lines_txt sep rstrip walk count isfile join list walklevel print to_csv list_images append DataFrame show subplot items len imshow title figure xticks enumerate yticks append randint zip stack CropPreprocessor CAMDataset PreProcessor join print DataFrame to_csv listdir len print create_pair_dataset_file print create_pair_dataset_file zero_ zip forward is_cuda enumerate print float squeeze tqdm eval to enumerate eval unet11 addWeighted uint8 astype dstack copy array makedirs print parameters get_dataloader load inf_batch state_dict backward print default_timer zero_grad pretrained next eval load_state_dict save model_path train step Session save_image get_dataloader format print eval_net test_dataset_len device net Session load clip imwrite to transpose squeeze astype expand_dims from_numpy eval load_state_dict device model_path normalize imread net len inf_batch state_dict backward get_camvid_dataloader print default_timer zero_grad next eval save model_path train step save_image load inf_batch state_dict backward print default_timer zero_grad pretrained eval load_state_dict get_camvid_dataset save model_path train step save_image find_max_contour resize multiply shape INTER_NEAREST copy print dstack connectedComponentsWithStats astype shape zeros range load UNet11 load_state_dict | yxinjiang/Unet-for-foreground-segmentation | 4,265 |
yyysbysb/al_obs_neurips19 | ['active learning'] | ['The Label Complexity of Active Learning from Observational Data'] | policy.py logger.py data.py experiments.py bandit_learning.py learning.py config.py opt.py utils.py main.py batch_learning_v2.py model.py generic_batch_learning batch_train test_dis get_threshold passive_MIS_batch DBAL_IS_batch passive_batch DBAL_MIS_batch passive_MIS_digest passive_digest DBAL_IS_digest MIS_transform IDBAL DBAL_MIS_digest batch_train generic_batch_learning_v2 test_dis test_dis_var passive_batch_v2 prepare active_MIS_clip_capped_debias_digest passive_digest active_MIS_vc_debias_clipcap MIS_transform CConfig backup_config config2dict CEnvironment load_config dict2config data_parser_libsvm normalize data_parser_rear to_binary_label data_parser_front gen_synthetic_uniform gen_synthetic_bandit load_data CDataSet CExample CModelParameters run_experiments run_batch get_max_cnt_label run_once tune_batch choose_prop_log run_multiple COptMethod CDataParameters CLearning_v2_linear search_clip_threshold CLearning_v2_linear_vc CLearning square_loss_grad square_loss_val calc_clip_percentage log_metric calc_median_metric plot_err calc_metric add_to_dict CAUCLogger CLogger main run_experiments backup_code CModel evaluate stepsize get_weight_v2 get_weight gd calc_gap gd_var_v2 gd_v2 gen_policy_by_name CPolicyParameters gen_policy prepare_policy set_paras_dist my_dict_at robust_stddev mycopy mean textbf backup_code stddev median my_float robust_mean sorted learning_rate model opt_update gd shape zeros sum batch_train int check_and_log on_stop batch_sz digest random CLearning batch_rate log_data shape CModel cnt_log zeros append on_start cnt_log sum sqrt log calc_gap get_threshold test_dis learning_rate model c0 xi0 copy DBAL_IS_digest cnt_log sum xi0 y on_stop model c0 random x z batch_train CLearning batch_rate shape append sum test_dis Q0 CModel CExample on_start int join learning_rate batch_sz min log_misc_info Qk cnt_log zeros online_data xi0 init_log_prop len acc_var_err opt_shuffle copy w log_misc_info reset idx append range update_model len batch_train int check_and_log on_stop batch_sz learning batch_rate log_data cnt_log digest append on_start sqrt log model calc_gap sqrt log model y learning_rate append test_dis_var c0 search_clip_threshold predict w total_size z clip_th qs cnt_log CExample xi0 sum_var x learning_class data_dim square_loss_grad CModel square_loss_val zeros xi0 gd_v2 CLearning_v2_linear prepare sorted gd_var_v2 CLearning_v2_linear_vc prepare isfile minimum reduce maximum array rand array array CExample strip array append float max split normalize all_data print shuffle isfile CDataSet to_binary_label int batch_sz CModelParameters algo random len batch_rate passive_batch set_cond_log dataset online_data CDataParameters random_split hasattr policy_paras Q0 random prop_log run_batch gen_policy_by_name log_data gen_synthetic_bandit split_log gen_policy policy_name dataset policy prop_train len init_by_merge run_once range copy int all_data len str logscale_flag learning_rate print debug c0 calc_metric prop_log label_budget get_max_cnt_label get_stat CLogger dataset run_multiple prop_train int dataset_name copy_all RandomState all_data suggested_label_budget random_split print debug write copy gen_policy_by_name policy_name train_data dataset max len logscale_flag c0 get_max_cnt_label prepare_policy policy_name dataset prop_train log str dataset_name suggested_label_budget plot_err prop_log suggested_prop_log choose_prop_log calc_median_metric log_metric result_path dynamic_log_size learning_rate print write label_budget len len join write orig_err_logs label_stat err_stat range flush len append log_metric range len append orig_err_logs range len show set_xscale subplots errorbar xlabel close ylabel label_stat err_stat savefig legend range len result_path makedirs CAUCLogger result_path print getcwd run_experiments result_root_path backup_code experiment_name load_config flush sum inner x w sqrt w_accgrad sum x x predict inner x w learning_rate stepsize get_weight_v2 loss_val model c0 w sqrt acc_var batch_train sorted all_data CModelParameters inner random data_dim CLearning w square sqrt CModel zeros len q0 set_paras_dist data_dim CPolicyParameters prepare_policy mean sorted len sorted len sorted len | yyysbysb/al_obs_neurips19 | 4,266 |
yzhao062/LSCP | ['outlier detection', 'anomaly detection'] | ['LSCP: Locally Selective Combination in Parallel Outlier Ensembles'] | demo_lof.py models/base.py models/feature_bagging.py utils/stat_models.py models/lof.py models/knn.py models/sklearn_base.py models/combination.py utils/utility.py _sklearn_version_21 BaseDetector moa average aom maximization _set_random_states generate_bagging_indices generate_indices FeatureBagging check_parameter _parallel_decision_function Knn LOF _sklearn_version_20 invert_order _pprint _partition_estimators _get_n_jobs pearsonr_mat _betai pearsonr_helper wpearsonr pearsonr get_local_region argmaxn loaddata save_script _generate_indices generate_bagging_indices print_save_result get_competent_detectors standardizer argmaxp train_predict_lof precision_n_score train_predict_knn get_label_n str __version__ int list asarray Warning shuffle zeros max range int list asarray Warning shuffle mean zeros range reshape multiply check_array assert_equal sum check_array generate_indices randint check_random_state randint sample_without_replacement sorted set_params check_random_state randint get_params hasattr decision_function zip zeros enumerate column_or_1d str __version__ ones cumsum min _get_n_jobs iteritems list sorted join set_printoptions get_printoptions enumerate append len pearsonr_helper asarray max min mean sqrt sum asarray min sqrt sum max len asarray where astype range wpearsonr argpartition ravel column_or_1d partition len count_nonzero astype scoreatpercentile len fit count_nonzero astype scoreatpercentile len join loadmat ravel str LOF len decision_function decision_scores_ append ravel fit str Knn len decision_function decision_scores append ravel fit str close writelines mkdir open str asarray print close mean mkdir writelines argmaxp round range open _generate_indices randint sample_without_replacement KDTree tolist query generate_bagging_indices range reshape argmaxn tolist where histogram | yzhao062/LSCP | 4,267 |
yzhao062/pyod | ['outlier detection', 'anomaly detection'] | ['PyOD: A Python Toolbox for Scalable Outlier Detection', 'ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions'] | pyod/models/__init__.py pyod/utils/example.py pyod/utils/stat_models.py examples/copod_example.py pyod/test/test_abod.py examples/copod_interpretability.py pyod/utils/utility.py examples/mad_example.py examples/__init__.py pyod/test/test_base.py examples/iforest_example.py examples/deepsvdd_example.py pyod/test/__init__.py pyod/models/iforest.py pyod/test/test_copod_parallel.py examples/xgbod_example.py pyod/test/test_loci.py pyod/test/test_deepsvdd.py examples/suod_example.py examples/temp_do_not_use/fit_predict_verification.py pyod/models/knn.py pyod/models/ocsvm.py examples/abod_example.py setup.py pyod/version.py pyod/test/test_cof.py examples/data/mat_file_conversion.py pyod/test/test_rod.py pyod/test/test_data.py examples/lmdd_example.py pyod/__init__.py pyod/models/sod.py examples/save_load_model_example.py examples/lof_example.py pyod/models/loci.py docs/conf.py examples/mcd_example.py pyod/models/mcd.py examples/loda_example.py pyod/test/test_copod.py pyod/test/test_lmdd.py pyod/utils/data.py examples/compare_all_models.py examples/temp_do_not_use.py pyod/models/combination.py examples/knn_mahalanobis_example.py examples/knn_example.py pyod/models/pca.py examples/comb_example.py pyod/test/test_cblof.py pyod/test/test_ecod.py examples/generate_data_categorical_example.py examples/generate_data_cluster_example.py pyod/utils/__init__.py examples/loci_example.py pyod/test/test_auto_encoder.py pyod/test/test_utility.py examples/ocsvm_example.py examples/sos_example.py pyod/models/loda.py pyod/models/so_gaal.py pyod/test/test_knn.py pyod/models/copod.py pyod/test/test_ocsvm.py pyod/test/test_so_gaal.py pyod/test/test_suod.py examples/auto_encoder_torch_example.py examples/temp_do_not_use/deprecated_functions.py pyod/test/test_vae.py pyod/test/test_feature_bagging.py pyod/test/test_mo_gaal.py examples/ecod_example.py pyod/test/test_stat_models.py pyod/models/cblof.py pyod/test/test_mad.py pyod/test/test_iforest.py pyod/models/sklearn_base.py pyod/test/test_pca.py examples/cblof_example.py notebooks/benchmark.py pyod/models/cof.py pyod/test/test_loda.py pyod/test/test_lof.py examples/rod_example.py pyod/models/lmdd.py examples/sod_example.py pyod/models/gaal_base.py pyod/test/test_xgbod.py pyod/models/mo_gaal.py pyod/models/auto_encoder.py pyod/models/sos.py pyod/models/xgbod.py pyod/test/test_sod.py examples/mo_gaal_example.py examples/lscp_example.py pyod/models/suod.py examples/pca_example.py pyod/models/base_dl.py pyod/models/base.py pyod/models/feature_bagging.py pyod/utils/torch_utility.py pyod/models/deep_svdd.py pyod/models/lscp.py pyod/models/auto_encoder_torch.py pyod/test/test_hbos.py examples/hbos_example.py pyod/models/rod.py examples/so_gaal_example.py pyod/test/test_auto_encoder_torch.py examples/feature_bagging_example.py pyod/models/vae.py pyod/test/test_combination.py pyod/models/lof.py pyod/models/abod.py examples/cof_example.py pyod/test/test_mcd.py pyod/models/mad.py pyod/models/hbos.py examples/vae_example.py pyod/test/test_lscp.py pyod/test/test_sos.py examples/auto_encoder_example.py pyod/models/ecod.py examples/copod_parallel_example.py readme AutoEncoder PyODDataset inner_autoencoder read_arff get_color_codes visualize ABOD _calculate_wocs _wcos AutoEncoder AutoEncoder PyODDataset inner_autoencoder BaseDetector _get_tensorflow_version CBLOF COF majority_vote moa average median aom maximization COPOD ecdf _parallel_ecdf DeepSVDD ECOD ecdf _parallel_ecdf FeatureBagging _set_random_states create_generator create_discriminator _calculate_outlier_scores_auto _calculate_outlier_scores HBOS IForest KNN _aad _check_params LMDD _get_critical_values LOCI _get_sampling_N LODA LOF LSCP _check_dim MAD MCD MO_GAAL OCSVM PCA geometric_median angle sigmoid process_sub rod_3D mad scale_angles ROD rod_nD euclidean _pprint _partition_estimators _get_n_jobs SOD _snn_imp SOS _get_perplexity SO_GAAL SUOD VAE XGBOD TestKnnTree TestKnnMean TestKnnMedian TestKnn TestKnnMahalanobis TestFastABOD TestABOD TestAutoEncoder TestAutoEncoder T ModifyInitParams Dummy1 Dummy3 VargEstimator Dummy2 K TestBASE MyEstimator TestCBLOF TestFastCOF TestMemoryCOF TestMOA TestAOM TestStatic TestCOPOD TestCOPODParallel TestData TestDeepSVDD TestECODParallel TestECOD TestFeatureBagging TestHBOS TestAutoHBOS TestIForest TestCOF TestLOCI TestAutoLODA TestLODA TestLOF TestLSCP TestMAD TestMCD TestMO_GAAL TestOCSVM TestPCA TestROD TestSOD TestSOS TestSO_GAAL TestStatModels TestSUOD TestScaler TestCheckDetector TestParameters TestMetrics TestVAE TestXGBOD check_consistent_shape get_outliers_inliers generate_data generate_data_clusters evaluate_print generate_data_categorical _generate_data data_visualize visualize pairwise_distances_no_broadcast _pairwise_distances_no_broadcast_helper pearsonr_mat wpearsonr get_activation_by_name get_intersection invert_order precision_n_scores argmaxn _get_sklearn_version generate_bagging_indices get_list_diff score_to_label get_optimal_n_bins get_diff_elements standardizer check_detector generate_indices check_parameter get_label_n load asarray print ravel open show check_X_y format suptitle add_subplot title scatter savefig figure legend get_color_codes column_or_1d full where dot norm combinations list _wcos append enumerate str __version__ ECDF zeros ecdf range sorted set_params check_random_state randint get_params int dis Sequential add sqrt Dense ceil Input Sequential add Dense gen Input digitize min log2 get_optimal_n_bins zeros range digitize min log2 zeros range check_parameter isinstance sort concatenate reshape abs norm euclidean min mean unique sum max len reshape pi append MinMaxScaler enumerate fit append norm arccos cos square dot mad scale_angles sin power clip rod_3D join starmap list append reshape cpu_count close process_sub zip transform Pool RobustScaler fit_transform ones cumsum min _get_n_jobs iteritems list sorted join set_printoptions get_printoptions enumerate append len prange set intersection zeros empty max len sum exp log uniform randn int check_random_state _generate_data random_sample warn randint check_X_y column_or_1d check_consistent_length print format column_or_1d check_consistent_length int list check_random_state isinstance make_blobs concatenate tolist astype shuffle uniform round vstack append check_parameter sum range int list check_random_state isinstance __f hstack shuffle append check_parameter range get_outliers_inliers _add_sub_plot check_consistent_shape show _plot get_outliers_inliers suptitle savefig figure enumerate check_array square asarray min sqrt sum max check_consistent_length check_array astype range wpearsonr check_array fit percentile check_parameter column_or_1d astype column_or_1d get_label_n count_nonzero percentile column_or_1d astype check_consistent_length len check_parameter column_or_1d partition len column_or_1d str __version__ generate_indices randint check_random_state randint sample_without_replacement int power range sqrt histogram zeros sum log enumerate | yzhao062/pyod | 4,268 |
yzhouas/PD-Denoising-pytorch | ['denoising'] | ['When AWGN-based Denoiser Meets Real Noises'] | train.py Demo_on_full_image.py test.py dataset.py models.py denoiser.py utils.py prepare_data prepare_real_data generate_noise_level_data prepare_noise_level_data normalize Im2Patch Dataset main img_normalize img_normalize denoiser DnCNN_c Estimation_direct DnCNN main img_normalize main decide_scale_factor generate_ground_truth_noise_map reverse_pixelshuffle generate_noisy pixelshuffle scal2map_spatial get_pdf_in_maps get_cdf_noise_in_maps get_salient_noise_in_maps np2ts scal2map level_refine normalize get_max_noise_in_maps temp_ps_4comb generate_comp_noisy zeroing_out_maps get_smooth_maps weights_init_kaiming batch_PSNR np2ts_4d get_pdf_matching_score visual_va2np generate_denoise generate_training_noisy_image data_augmentation zeros range float32 reshape randint resize Im2Patch str transpose shape normalize expand_dims imread range glob close copy join print sort File float32 create_dataset data_augmentation len expend_dims randint resize Im2Patch str transpose shape normalize expand_dims imread range glob close copy join print sort File float32 create_dataset data_augmentation len join imwrite generate_noisy mkdir array range join glob generate_noise_level_data imread range len imwrite pixelshuffle denoiser img_normalize resize cuda str ps_scale delog wbin k shape load_state_dict imread expand_dims glob eval test_data_gnd Estimation_direct load join print DnCNN_c sort min float32 test_data out_dir zeros makedirs pixelshuffle generate_noisy model rescale model_est img_normalize cuda np2ts FloatTensor transpose k color shape level_refine normalize expand_dims range refine_opt test_noise_level astype ps generate_comp_noisy mean zeroing_out_maps tile type ext_test_noise_level keep_ind print clamp reshape Variable visual_va2np float32 zeros numpy array generate_noisy model rescale model_est np2ts FloatTensor transpose color level_refine normalize range refine_opt test_noise_level astype DnCNN ps generate_comp_noisy mean zeroing_out_maps tile type ext_test_noise_level keep_ind batch_PSNR clamp reshape Variable visual_va2np numpy array zero_grad randint DataLoader save est_model step Adam apply MSELoss uniform epochs chain state_dict SummaryWriter param_groups outf size lr item enumerate int criterion backward clone add_scalar parameters train Dataset len data constant clamp_ __name__ kaiming_normal range astype float32 transpose rot90 flipud reverse_pixelshuffle transpose tile resize numpy FloatTensor transpose shape unsqueeze type transpose type FloatTensor argmax reshape transpose histogram zeros numpy range cumsum reshape transpose print histogram zeros numpy range list reshape transpose close bar histogram zeros numpy range estimation_model np2ts pixelshuffle Variable clamp get_pdf_matching_score print append cuda range transpose zeros numpy range amax np2ts ones Variable transpose copy dilate numpy cuda range np2ts print Variable transpose copy numpy cuda range get_smooth_maps FloatTensor Variable reshape print get_cdf_noise_in_maps range tile get_salient_noise_in_maps get_max_noise_in_maps type cuda zeros reshape float zeros uniform range generate_noisy normalize tile range reshape normal copy shape uniform zeros range normal copy shape uniform range np2ts FloatTensor Variable clamp reshape model transpose numpy tile zeros type cuda shape array range shape range zeros view FloatTensor size repeat type scal2map int cat | yzhouas/PD-Denoising-pytorch | 4,269 |
z01nl1o02/deeplab-v2 | ['semantic segmentation'] | ['DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs'] | python/caffe/io.py python/caffe/test/test_python_layer.py scripts/download_model_binary.py python/caffe/net_spec.py python/caffe/test/test_net.py tools/extra/resize_and_crop_images.py python/draw_net.py python/caffe/test/test_net_spec.py src/caffe/test/test_data/generate_sample_data.py python/caffe/draw.py python/caffe/pycaffe.py tools/extra/extract_seconds.py scripts/cpp_lint.py python/classify.py examples/web_demo/exifutil.py examples/pycaffe/layers/pyloss.py python/caffe/test/test_solver.py python/caffe/classifier.py examples/finetune_flickr_style/assemble_data.py python/caffe/test/test_io.py python/caffe/test/test_python_layer_with_param_str.py tools/extra/parse_log.py python/caffe/__init__.py python/caffe/test/test_layer_type_list.py examples/web_demo/app.py scripts/copy_notebook.py python/caffe/detector.py python/detect.py examples/pycaffe/caffenet.py tools/extra/summarize.py download_image make_net max_pool caffenet conv_relu fc_relu EuclideanLossLayer start_tornado start_from_terminal embed_image_html classify_upload index allowed_file ImagenetClassifier classify_url open_oriented_im apply_orientation main main main parse_args Classifier Detector get_edge_label draw_net get_layer_label get_pydot_graph choose_color_by_layertype get_pooling_types_dict draw_net_to_file Transformer blobproto_to_array datum_to_array array_to_blobproto arraylist_to_blobprotovecor_str array_to_datum resize_image blobprotovector_str_to_arraylist load_image oversample Layers Function Parameters Top NetSpec assign_proto param_name_dict to_proto _Net_blobs _Net_forward_all _Net_set_input_arrays _Net_backward _Net_params _Net_forward _Net_IdNameWrapper _Net_outputs _Net_forward_backward_all _Net_blob_loss_weights _Net_batch _Net_inputs TestBlobProtoToArray TestLayerTypeList simple_net_file TestNet lenet TestNetSpec silent_net anon_lenet exception_net_file parameter_net_file SimpleLayer TestPythonLayer ParameterLayer python_net_file ExceptionLayer SimpleParamLayer TestLayerWithParam python_param_net_file TestSolver ParseNolintSuppressions CheckVlogArguments CheckSectionSpacing FindNextMultiLineCommentEnd ReplaceAll CheckForFunctionLengths _SetOutputFormat _IsTestFilename _VerboseLevel CheckBraces RemoveMultiLineComments ResetNolintSuppressions CheckForNonStandardConstructs _SetVerboseLevel PrintUsage _NestingState CheckIncludeLine CheckAccess _CppLintState Search CheckInvalidIncrement RemoveMultiLineCommentsFromRange CleansedLines CheckForBadCharacters UpdateIncludeState FindPreviousMatchingAngleBracket CheckEmptyBlockBody FindNextMultiLineCommentStart Match _NamespaceInfo CheckMakePairUsesDeduction CheckCheck IsBlankLine _SetFilters ProcessLine _FunctionState CheckPosixThreading GetLineWidth GetHeaderGuardCPPVariable IsCppString _IncludeState CheckSpacing _ClassInfo CheckForCopyright IsErrorSuppressedByNolint ProcessFileData CheckForMultilineCommentsAndStrings CloseExpression _PreprocessorInfo _OutputFormat CheckForIncludeWhatYouUse CheckSpacingForFunctionCall FindEndOfExpressionInLine FindNextMatchingAngleBracket _SetCountingStyle ProcessFile _IncludeError CleanseRawStrings CheckAltTokens CheckForNewlineAtEOF ParseArguments CheckForNonConstReference PrintCategories _Filters main FilesBelongToSameModule CheckCStyleCast FileInfo _BlockInfo CheckForHeaderGuard CheckCaffeDataLayerSetUp ReverseCloseExpression CleanseComments _DropCommonSuffixes _ClassifyInclude CheckStyle CheckCaffeAlternatives FindStartOfExpressionInLine _ShouldPrintError CheckComment Error _GetTextInside CheckLanguage CheckCaffeRandom GetPreviousNonBlankLine reporthook parse_readme_frontmatter model_checks_out valid_dirname get_start_time extract_seconds extract_datetime_from_line get_log_created_year write_csv parse_log fix_initial_nan_learning_rate save_csv_files main parse_args parse_line_for_net_output ResizeCropImagesMapper PILResizeCrop OpenCVResizeCrop print_table printed_len summarize_net main read_net format_param imread urlretrieve Convolution InnerProduct Data SoftmaxWithLoss LRN Accuracy max_pool InnerProduct conv_relu fc_relu Dropout get read info load_image classify_image StringIO join replace info secure_filename save filename open_oriented_im classify_image fromarray replace astype save resize StringIO items listen HTTPServer format print start WSGIContainer update start_tornado add_option OptionParser debug port parse_args ImagenetClassifier forward run hasattr _getexif astype float32 tile apply_orientation open transpose model_def endswith ArgumentParser save mean_file channel_swap output_file dirname expanduser parse_args input_file predict Classifier set_mode_cpu load time isdir print add_argument set_mode_gpu pretrained_model gpu len DataFrame Detector format to_hdf detect_selective_search mean set_index to_csv detect_windows read_csv add_argument ArgumentParser read NetParameter output_image_file rankdir Merge draw_net_to_file items list DESCRIPTOR batch_size str num_output get_pooling_types_dict add_edge get_edge_label list Dot get_layer_label values name choose_color_by_layertype Edge Node bottom append type layer add_node top data array diff shape BlobProto extend flat extend BlobProtoVector ParseFromString BlobProtoVector extend tostring shape Datum flat data len astype float32 tile zoom tuple resize fill empty array concatenate shape tile empty array LayerParameter list NetParameter _to_proto extend Counter OrderedDict values iteritems hasattr isinstance extend add getattr setattr items layers index set outputs _forward len items _backward layers inputs index set len items asarray extend copy next _batch iter forward values len items asarray backward extend copy next _batch zip_longest zip iter forward values len ascontiguousarray concatenate iter zeros next range values len NamedTemporaryFile str close write data Pooling pool1 conv2 pool2 ip1 relu1 SoftmaxWithLoss Convolution NetSpec DummyData ip2 ReLU InnerProduct label conv1 Pooling SoftmaxWithLoss Convolution DummyData ReLU InnerProduct data NetSpec DummyData Silence data2 error search add group clear compile compile compile SetOutputFormat SetCountingStyle SetFilters _Filters startswith IsErrorSuppressedByNolint _ShouldPrintError write IncrementErrorCount replace append Match group find startswith endswith range error FindNextMultiLineCommentEnd RemoveMultiLineCommentsFromRange FindNextMultiLineCommentStart rstrip find range len FindEndOfExpressionInLine range len FindStartOfExpressionInLine error min search I range len FileInfo RepositoryName sep sub ParseNolintSuppressions error startswith split GetHeaderGuardCPPVariable enumerate error enumerate error len error replace count error find error find error find error find error Search error match InnermostClass replace error escape Match Search error group Search Check error lines Count End group Begin NumLines Match raw_lines range Search error match group error Match group pop group append Search pop group append Search elided replace CheckSpacingForFunctionCall rfind error len group min CloseExpression NumLines sub find CheckComment Match range Search lines_without_raw_strings error group starting_linenum Match range Search error rfind len group ReverseCloseExpression Search Match CloseExpression find error Match CloseExpression find elided error strip group FindEndOfExpressionInLine find Match range CloseExpression len error Match finditer normalize isinstance GetLineWidth int InnermostClass CheckCheck error CheckAltTokens CheckBraces CheckSpacing CheckSectionSpacing CheckEmptyBlockBody CheckAccess GetHeaderGuardCPPVariable lines_without_raw_strings _DropCommonSuffixes RepositoryName match split CheckNextIncludeOrder CanonicalizeAlphabeticalOrder FileInfo error search group SetLastHeader match _ClassifyInclude Match pop end search set append values M rstrip replace CheckCStyleCast error _GetTextInside CheckIncludeLine search group lstrip startswith Match ResetSection Search split rfind error group ReverseCloseExpression lstrip findall Match range Search ReplaceAll error Match Search endswith replace setdefault group search CleanseComments open list FilesBelongToSameModule error search copy sub NumLines FullName keys range error search CheckPosixThreading ParseNolintSuppressions CheckVlogArguments CheckMakePairUsesDeduction CheckCaffeDataLayerSetUp CheckLanguage CheckInvalidIncrement CheckCaffeRandom CheckForNonConstReference check_fn Update CheckForNonStandardConstructs CheckStyle raw_lines CheckForMultilineCommentsAndStrings CheckCaffeAlternatives CheckForFunctionLengths CleansedLines _NestingState CheckForBadCharacters CheckForNewlineAtEOF _IncludeState RemoveMultiLineComments CheckForCopyright ResetNolintSuppressions CheckForHeaderGuard NumLines CheckCompletedBlocks CheckForIncludeWhatYouUse range ProcessLine _FunctionState Error rstrip endswith len write ProcessFileData _SetVerboseLevel range split write exit join write exit _VerboseLevel int getopt _SetOutputFormat set _SetVerboseLevel PrintCategories _SetFilters _OutputFormat PrintUsage _SetCountingStyle split getreader ParseArguments ResetErrorCounts stderr exit verbose_level PrintErrorCounts StreamReaderWriter ProcessFile getwriter int time write flush load join index int rfind datetime split getctime year strip extract_datetime_from_line get_start_time total_seconds strip write get_log_created_year close extract_datetime_from_line open float get_log_created_year compile fix_initial_nan_learning_rate search group OrderedDict append float join basename write_csv print excel parse_log save_csv_files output_dir logfile_path NetParameter decay_mult format name lr_mult append print zip len get join str format convolution_param list setdefault param kernel_size map set top bottom append type module layer enumerate print_table filename summarize_net read_net | z01nl1o02/deeplab-v2 | 4,270 |
zachary2940/ml-agents-assignment | ['unity'] | ['Unity: A General Platform for Intelligent Agents'] | ml-agents-envs/mlagents_envs/communicator_objects/capabilities_pb2.py ml-agents/mlagents/trainers/components/reward_signals/curiosity/model.py ml-agents/mlagents/trainers/environment_parameter_manager.py ml-agents/mlagents/trainers/cli_utils.py ml-agents/mlagents/trainers/run_experiment.py ml-agents/mlagents/trainers/tests/check_env_trains.py ml-agents-envs/mlagents_envs/communicator_objects/command_pb2.py ml-agents-envs/mlagents_envs/mock_communicator.py ml-agents/mlagents/trainers/policy/__init__.py ml-agents-envs/mlagents_envs/communicator_objects/unity_to_external_pb2.py ml-agents/mlagents/trainers/tests/torch/test_reward_providers/test_extrinsic.py ml-agents-envs/mlagents_envs/communicator.py ml-agents/mlagents/trainers/tests/torch/saver/test_saver_reward_providers.py ml-agents/mlagents/trainers/torch/components/reward_providers/extrinsic_reward_provider.py gym-unity/gym_unity/envs/__init__.py ml-agents-envs/mlagents_envs/communicator_objects/brain_parameters_pb2.py ml-agents/mlagents/trainers/tests/tensorflow/test_nn_policy.py ml-agents/mlagents/trainers/learn.py ml-agents-envs/mlagents_envs/side_channel/raw_bytes_channel.py ml-agents/mlagents/trainers/trainer/trainer.py gym-unity/gym_unity/__init__.py ml-agents-envs/mlagents_envs/side_channel/__init__.py ml-agents/mlagents/trainers/torch/components/reward_providers/gail_reward_provider.py ml-agents/mlagents/trainers/model_saver/tf_model_saver.py utils/validate_meta_files.py ml-agents/mlagents/trainers/trainer_controller.py ml-agents/mlagents/trainers/components/bc/model.py ml-agents/mlagents/trainers/torch/utils.py ml-agents/mlagents/trainers/action_info.py ml-agents/mlagents/tf_utils/__init__.py ml-agents/mlagents/trainers/components/reward_signals/__init__.py ml-agents/mlagents/trainers/tests/tensorflow/test_ppo.py ml-agents/mlagents/trainers/tests/torch/test_ppo.py ml-agents/mlagents/trainers/tests/tensorflow/test_bcmodule.py ml-agents/mlagents/trainers/model_saver/torch_model_saver.py ml-agents-envs/setup.py ml-agents-envs/mlagents_envs/side_channel/engine_configuration_channel.py ml-agents-envs/mlagents_envs/communicator_objects/unity_rl_output_pb2.py ml-agents/mlagents/trainers/tests/mock_brain.py ml-agents/mlagents/trainers/policy/checkpoint_manager.py ml-agents/mlagents/trainers/tests/test_trainer_controller.py ml-agents/mlagents/trainers/torch/layers.py ml-agents/mlagents/trainers/components/reward_signals/reward_signal_factory.py ml-agents-envs/mlagents_envs/rpc_utils.py ml-agents/mlagents/trainers/tests/torch/test_encoders.py ml-agents/mlagents/trainers/tests/torch/test_policy.py ml-agents-envs/mlagents_envs/communicator_objects/unity_rl_initialization_output_pb2.py ml-agents-envs/mlagents_envs/side_channel/incoming_message.py ml-agents/setup.py ml-agents/mlagents/trainers/tests/tensorflow/test_reward_signals.py ml-agents/mlagents/trainers/torch/model_serialization.py ml-agents/mlagents/trainers/policy/torch_policy.py ml-agents/tests/yamato/setup_venv.py ml-agents/mlagents/trainers/barracuda.py ml-agents/mlagents/trainers/optimizer/tf_optimizer.py utils/run_markdown_link_check.py ml-agents/mlagents/trainers/env_manager.py ml-agents/mlagents/trainers/tests/tensorflow/test_tf_policy.py ml-agents/mlagents/trainers/ppo/trainer.py ml-agents/mlagents/trainers/policy/policy.py ml-agents/mlagents/trainers/tests/tensorflow/test_distributions.py ml-agents-envs/mlagents_envs/communicator_objects/agent_action_pb2.py ml-agents/mlagents/trainers/sac/optimizer_torch.py ml-agents-envs/mlagents_envs/tests/test_rpc_communicator.py ml-agents/mlagents/trainers/torch/networks.py ml-agents-envs/mlagents_envs/tests/test_envs.py utils/validate_inits.py ml-agents/mlagents/trainers/tests/dummy_config.py ml-agents-envs/mlagents_envs/side_channel/float_properties_channel.py ml-agents/mlagents/trainers/tests/tensorflow/test_models.py ml-agents/mlagents/trainers/torch/components/reward_providers/__init__.py ml-agents/mlagents/trainers/components/reward_signals/curiosity/signal.py ml-agents/mlagents/trainers/simple_env_manager.py ml-agents/mlagents/trainers/tf/tensorflow_to_barracuda.py ml-agents-envs/mlagents_envs/side_channel/outgoing_message.py ml-agents-envs/mlagents_envs/exception.py ml-agents/mlagents/trainers/tests/torch/test_networks.py ml-agents-envs/mlagents_envs/registry/remote_registry_entry.py ml-agents/mlagents/trainers/trainer/__init__.py ml-agents/mlagents/trainers/upgrade_config.py ml-agents-envs/mlagents_envs/communicator_objects/unity_message_pb2.py ml-agents/mlagents/trainers/tests/torch/test_reward_providers/test_curiosity.py ml-agents/mlagents/trainers/tests/test_learn.py ml-agents/mlagents/torch_utils/__init__.py ml-agents/tests/yamato/scripts/run_gym.py utils/validate_release_links.py ml-agents-envs/mlagents_envs/communicator_objects/agent_info_pb2.py ml-agents/mlagents/trainers/tests/test_demo_loader.py ml-agents/mlagents/trainers/tests/torch/test_reward_providers/test_gail.py ml-agents-envs/mlagents_envs/communicator_objects/observation_pb2.py utils/validate_versions.py ml-agents-envs/mlagents_envs/tests/test_rpc_utils.py ml-agents/mlagents/trainers/torch/decoders.py ml-agents/mlagents/trainers/__init__.py ml-agents-envs/mlagents_envs/tests/test_timers.py ml-agents/mlagents/trainers/torch/components/reward_providers/reward_provider_factory.py ml-agents/mlagents/trainers/tests/torch/test_bcmodule.py ml-agents/mlagents/trainers/tests/tensorflow/test_ghost.py ml-agents/mlagents/torch_utils/torch.py ml-agents-envs/mlagents_envs/communicator_objects/custom_reset_parameters_pb2.py ml-agents/mlagents/trainers/tests/test_env_param_manager.py ml-agents-envs/mlagents_envs/tests/test_registry.py ml-agents-envs/mlagents_envs/communicator_objects/agent_info_action_pair_pb2.py ml-agents/mlagents/trainers/ppo/optimizer_torch.py ml-agents-envs/mlagents_envs/communicator_objects/unity_rl_input_pb2.py ml-agents-envs/mlagents_envs/timers.py ml-agents/tests/yamato/check_coverage_percent.py ml-agents/mlagents/trainers/exception.py gym-unity/gym_unity/tests/test_gym.py ml-agents/mlagents/trainers/tests/tensorflow/test_barracuda_converter.py utils/make_readme_table.py ml-agents/mlagents/tf_utils/tf.py ml-agents/mlagents/trainers/buffer.py ml-agents/mlagents/torch_utils/cpu_utils.py ml-agents-envs/mlagents_envs/side_channel/side_channel.py ml-agents/mlagents/trainers/tests/torch/test_ghost.py ml-agents/mlagents/trainers/tests/test_subprocess_env_manager.py ml-agents/mlagents/trainers/tests/torch/test_simple_rl.py ml-agents/mlagents/trainers/subprocess_env_manager.py ml-agents-envs/mlagents_envs/side_channel/environment_parameters_channel.py ml-agents/mlagents/trainers/tests/torch/test_reward_providers/test_rnd.py ml-agents/mlagents/trainers/tests/torch/test_sac.py ml-agents/mlagents/trainers/tests/torch/test_layers.py ml-agents/mlagents/trainers/agent_processor.py ml-agents-envs/mlagents_envs/communicator_objects/engine_configuration_pb2.py ml-agents-envs/mlagents_envs/tests/test_env_utils.py ml-agents/mlagents/trainers/tests/test_rl_trainer.py ml-agents/mlagents/trainers/tests/tensorflow/test_saver.py ml-agents-envs/mlagents_envs/rpc_communicator.py ml-agents/mlagents/trainers/training_status.py ml-agents-envs/mlagents_envs/communicator_objects/demonstration_meta_pb2.py ml-agents-envs/mlagents_envs/__init__.py ml-agents/mlagents/trainers/tests/tensorflow/test_simple_rl.py gym-unity/setup.py ml-agents/mlagents/trainers/torch/distributions.py ml-agents/mlagents/trainers/behavior_id_utils.py ml-agents/mlagents/trainers/tests/test_config_conversion.py ml-agents/mlagents/trainers/tf/model_serialization.py ml-agents/mlagents/trainers/sac/network.py ml-agents/mlagents/trainers/policy/tf_policy.py ml-agents/mlagents/trainers/optimizer/__init__.py ml-agents-envs/mlagents_envs/registry/__init__.py ml-agents/mlagents/trainers/torch/encoders.py ml-agents/mlagents/trainers/tests/simple_test_envs.py ml-agents/mlagents/trainers/tests/__init__.py ml-agents-envs/mlagents_envs/communicator_objects/unity_output_pb2.py ml-agents-envs/mlagents_envs/env_utils.py ml-agents/mlagents/trainers/torch/components/bc/module.py ml-agents-envs/mlagents_envs/communicator_objects/space_type_pb2.py ml-agents/mlagents/trainers/trainer_util.py ml-agents/mlagents/trainers/tests/test_trainer_util.py ml-agents/mlagents/trainers/ppo/optimizer_tf.py ml-agents/mlagents/trainers/components/reward_signals/extrinsic/signal.py ml-agents/mlagents/trainers/sac/trainer.py ml-agents-envs/mlagents_envs/logging_util.py ml-agents-envs/mlagents_envs/side_channel/side_channel_manager.py utils/run_dotnet_format.py ml-agents/tests/yamato/training_int_tests.py ml-agents/mlagents/trainers/tests/torch/test_distributions.py ml-agents/mlagents/trainers/trajectory.py ml-agents/mlagents/trainers/settings.py ml-agents-envs/mlagents_envs/communicator_objects/unity_rl_initialization_input_pb2.py ml-agents-envs/mlagents_envs/base_env.py ml-agents-envs/mlagents_envs/communicator_objects/header_pb2.py ml-agents/mlagents/tf_utils/globals.py ml-agents/mlagents/trainers/tests/test_stats.py ml-agents/mlagents/trainers/tests/tensorflow/test_sac.py ml-agents/mlagents/trainers/model_saver/model_saver.py ml-agents/mlagents/trainers/components/reward_signals/gail/model.py ml-agents/mlagents/trainers/optimizer/torch_optimizer.py ml-agents/mlagents/trainers/tests/torch/saver/test_saver.py ml-agents-envs/mlagents_envs/side_channel/stats_side_channel.py ml-agents/mlagents/trainers/components/reward_signals/gail/signal.py ml-agents-envs/mlagents_envs/tests/test_side_channel.py ml-agents/mlagents/trainers/tf/models.py ml-agents/mlagents/trainers/tf/distributions.py ml-agents-envs/mlagents_envs/registry/base_registry_entry.py ml-agents/mlagents/trainers/ghost/controller.py ml-agents/tests/yamato/standalone_build_tests.py ml-agents-envs/mlagents_envs/environment.py ml-agents/mlagents/trainers/tests/test_training_status.py ml-agents/mlagents/trainers/tests/torch/test_decoders.py ml-agents/mlagents/trainers/demo_loader.py ml-agents/mlagents/trainers/ghost/trainer.py ml-agents-envs/mlagents_envs/registry/binary_utils.py ml-agents/mlagents/trainers/torch/components/reward_providers/base_reward_provider.py ml-agents/mlagents/trainers/tests/torch/test_reward_providers/utils.py ml-agents/tests/yamato/editmode_tests.py ml-agents/mlagents/trainers/tests/test_settings.py ml-agents/mlagents/trainers/torch/components/reward_providers/rnd_reward_provider.py ml-agents/mlagents/trainers/components/bc/module.py ml-agents-envs/mlagents_envs/communicator_objects/unity_input_pb2.py ml-agents-envs/mlagents_envs/tests/test_steps.py ml-agents/mlagents/trainers/tests/test_buffer.py ml-agents/mlagents/trainers/sac/optimizer_tf.py ml-agents/mlagents/trainers/trainer/rl_trainer.py ml-agents/mlagents/trainers/tests/test_agent_processor.py ml-agents/mlagents/trainers/torch/components/reward_providers/curiosity_reward_provider.py ml-agents-envs/mlagents_envs/communicator_objects/unity_to_external_pb2_grpc.py ml-agents/tests/yamato/yamato_utils.py ml-agents/mlagents/trainers/tests/torch/test_utils.py ml-agents/mlagents/trainers/stats.py ml-agents/tests/yamato/scripts/run_llapi.py ml-agents-envs/mlagents_envs/registry/unity_env_registry.py ml-agents/mlagents/trainers/tests/test_trajectory.py ml-agents/mlagents/trainers/optimizer/optimizer.py VerifyVersionCommand UnityGymException ActionFlattener UnityToGymWrapper create_mock_vector_steps test_gym_wrapper_multi_visual_and_vector test_gym_wrapper create_mock_group_spec test_branched_flatten setup_mock_unityenvironment test_gym_wrapper_visual test_gym_wrapper_single_visual_and_vector test_action_space VerifyVersionCommand get_rank set_warnings_enabled generate_session_config _read_in_integer_file _get_num_available_cpus get_num_threads_to_use is_available default_device ActionInfo AgentManager AgentProcessor AgentManagerQueue BarracudaWriter fuse print_known_operations compress Build sort lstm write fuse_batchnorm_weights trim mean gru Model summary Struct parse_args to_json rnn BehaviorIdentifiers get_global_agent_id create_name_behavior_id BufferException AgentBuffer StoreConfigFile _load_config DetectDefaultStoreTrue DetectDefault load_config _create_parser make_demo_buffer write_demo get_demo_files load_demonstration write_delimited demo_to_buffer EnvironmentParameterManager EnvManager EnvironmentStep SamplerException TrainerConfigError CurriculumError CurriculumConfigError MetaCurriculumError TrainerConfigWarning CurriculumLoadingError UnityTrainerException TrainerError write_timing_tree create_environment_factory write_run_options parse_command_line run_training write_training_status main run_cli get_version_string main parse_command_line ScheduleType TrainerSettings FrameworkType PPOSettings ConstantSettings GaussianSettings strict_to_cls RewardSignalSettings EnvironmentSettings ParameterRandomizationType EnvironmentParameterSettings check_and_structure RewardSignalType TrainerType MultiRangeUniformSettings HyperparamSettings SerializationSettings NetworkSettings SACSettings UniformSettings SelfPlaySettings RNDSettings Lesson EngineSettings EncoderType RunOptions GAILSettings CheckpointSettings BehavioralCloningSettings deep_update_dict ParameterRandomizationSettings ExportableSettings CompletionCriteriaSettings defaultdict_to_dict CuriositySettings SimpleEnvManager StatsWriter StatsSummary ConsoleWriter StatsReporter GaugeWriter TensorboardWriter StatsPropertyType worker EnvironmentResponse EnvironmentRequest UnityEnvWorker StepResponse SubprocessEnvManager EnvironmentCommand TrainerController TrainerFactory initialize_trainer handle_existing_directories StatusMetaData StatusType GlobalTrainingStatus AgentExperience Trajectory SplitObservations parse_args write_to_yaml_file convert convert_behaviors main remove_nones convert_samplers_and_curriculum convert_samplers BCModel BCModule create_reward_signal RewardSignal CuriosityModel CuriosityRewardSignal ExtrinsicRewardSignal GAILModel GAILRewardSignal GhostController GhostTrainer BaseModelSaver TFModelSaver TorchModelSaver Optimizer TFOptimizer TorchOptimizer NNCheckpointManager NNCheckpoint Policy UnityPolicyException TFPolicy UnityPolicyException TorchPolicy PPOOptimizer TorchPPOOptimizer PPOTrainer get_gae discount_rewards SACPolicyNetwork SACTargetNetwork SACNetwork SACOptimizer TorchSACOptimizer SACTrainer default_reward_processor check_environment_trains DebugWriter sac_dummy_config extrinsic_dummy_config ppo_dummy_config curiosity_dummy_config gail_dummy_config simulate_rollout create_mock_pushblock_behavior_specs create_mock_banana_behavior_specs setup_test_behavior_specs create_steps_from_behavior_spec create_mock_3dball_behavior_specs make_fake_trajectory create_mock_steps RecordEnvironment clamp SimpleEnvironment MemoryEnvironment test_end_episode test_agent_deletion test_agent_manager_queue test_agentprocessor test_agent_manager test_agent_manager_stats create_mock_policy test_buffer_sample construct_fake_buffer test_num_experiences assert_array fakerandint test_buffer test_buffer_truncate test_convert test_convert_behaviors test_remove_nones test_unsupported_version_raises_error test_load_demo test_demo_mismatch test_edge_cases test_load_demo_dir test_sampler_conversion test_sampler_and_constant_conversion test_create_manager test_curriculum_raises_no_completion_criteria_conversion test_curriculum_no_behavior test_curriculum_conversion test_curriculum_raises_all_completion_criteria_conversion basic_options test_run_training test_yaml_args test_bad_env_path test_commandline_args test_env_args FakeTrainer create_rl_trainer test_rl_trainer test_summary_checkpoint test_advance test_clear_update_buffer check_dict_is_at_least test_environment_settings test_strict_to_cls test_default_settings test_memory_settings_validation check_if_different test_is_new_instance test_no_configuration test_env_parameter_structure test_exportable_settings test_deep_update_dict test_trainersettings_structure test_reward_signal_structure test_tensorboard_writer test_stat_reporter_add_summary_write test_tensorboard_writer_clear test_gauge_stat_writer_sanitize ConsoleWriterTest test_stat_reporter_property MockEnvWorker mock_env_factory SubprocessEnvManagerTest test_subprocess_env_raises_errors create_worker_mock test_subprocess_env_endtoend test_initialization_seed test_start_learning_trains_until_max_steps_then_saves basic_trainer_controller trainer_controller_with_take_step_mocks test_advance_adds_experiences_to_trainer_and_trains trainer_controller_with_start_learning_mocks test_start_learning_trains_forever_if_no_train_model test_initialize_ppo_trainer test_load_config_invalid_yaml test_load_config_missing_file test_handles_no_config_provided dummy_config test_load_config_valid_yaml test_existing_directories test_globaltrainingstatus test_model_management StatsMetaDataTest test_trajectory_to_agentbuffer test_split_obs np_zeros_no_float64 np_array_no_float64 _check_no_float64 np_ones_no_float64 test_barracuda_converter test_bcmodule_rnn_update test_bcmodule_update test_bcmodule_constant_lr_update test_bcmodule_dc_visual_update create_bc_module test_bcmodule_defaults test_bcmodule_rnn_dc_update test_multicategorical_distribution test_tanh_distribution test_gaussian_distribution test_load_and_set dummy_config test_publish_queue test_process_trajectory test_create_input_placeholders create_behavior_spec test_min_visual_size test_large_normalization create_policy_mock test_normalization test_policy_evaluate _compare_two_policies test_trainer_increment_step test_trainer_update_policy test_ppo_optimizer_update test_ppo_optimizer_update_curiosity test_process_trajectory test_rl_functions test_add_get_policy _create_ppo_optimizer_ops_mock dummy_config test_ppo_optimizer_update_gail test_ppo_get_value_estimates test_gail_dc_visual reward_signal_update reward_signal_eval test_extrinsic test_curiosity_cc test_gail_rnn test_gail_cc test_curiosity_dc test_curiosity_visual test_curiosity_rnn create_optimizer_mock test_sac_update_reward_signals test_add_get_policy create_sac_optimizer_mock test_sac_optimizer_update dummy_config test_advance test_sac_save_load_buffer test_checkpoint_conversion test_register test_load_save test_normalizer_after_load ModelVersionTest _compare_two_policies test_simple_ghost_fails test_gail test_visual_advanced_sac _check_environment_trains test_visual_sac test_2d_ppo test_simple_sac test_simple_ghost default_reward_processor test_simple_asymm_ghost test_gail_visual_ppo test_simple_ppo test_gail_visual_sac test_recurrent_ppo DebugWriter test_recurrent_sac test_simple_asymm_ghost_fails test_visual_advanced_ppo test_visual_ppo test_2d_sac simple_record basic_mock_brain test_take_action_returns_action_info_when_available test_convert_version_string test_take_action_returns_nones_on_missing_values test_take_action_returns_empty_with_no_agents FakePolicy test_bcmodule_rnn_update test_bcmodule_linear_lr_update test_bcmodule_update test_bcmodule_constant_lr_update test_bcmodule_dc_visual_update create_bc_module test_bcmodule_defaults assert_stats_are_float test_bcmodule_rnn_dc_update test_valueheads test_multi_categorical_distribution test_gaussian_dist_instance test_categorical_dist_instance test_tanh_gaussian_dist_instance test_gaussian_distribution test_vector_encoder compare_models test_visual_encoder test_normalizer test_load_and_set dummy_config test_publish_queue test_process_trajectory test_lstm_layer test_swish test_lstm_class test_initialization_layer test_networkbody_visual test_actor_critic test_valuenetwork test_networkbody_vector test_simple_actor test_networkbody_lstm create_policy_mock test_sample_actions test_evaluate_actions test_policy_evaluate test_ppo_optimizer_update test_ppo_optimizer_update_curiosity dummy_config create_test_ppo_optimizer test_ppo_optimizer_update_gail test_ppo_get_value_estimates create_sac_optimizer_mock test_sac_update_reward_signals dummy_config test_sac_optimizer_update test_recurrent_sac test_visual_sac test_2d_ppo test_simple_asymm_ghost_fails test_simple_sac test_simple_ghost test_simple_ghost_fails simple_record test_visual_advanced_ppo test_simple_ppo test_gail_visual_ppo test_visual_ppo test_gail_visual_sac test_recurrent_ppo test_2d_sac test_gail test_visual_advanced_sac test_simple_asymm_ghost test_min_visual_size test_masked_mean test_polynomial_decay test_decayed_value test_soft_update test_get_probs_and_entropy test_create_inputs test_break_into_branches test_list_to_tensor test_actions_to_onehot test_checkpoint_conversion test_register test_load_save _compare_two_policies test_reward_provider_save test_reward_decreases test_construction test_next_state_prediction test_continuous_action_prediction test_factory test_reward test_construction test_factory test_reward_decreases test_construction test_factory test_reward_decreases_vail test_reward_decreases test_construction test_factory create_agent_buffer OutputDistribution DiscreteOutputDistribution MultiCategoricalDistribution GaussianDistribution ModelUtils Tensor3DShape NormalizerTensors _get_frozen_graph_node_names export_policy_model _make_frozen_graph _get_output_node_names _get_input_node_names convert_frozen_to_onnx _enforce_onnx_conversion _process_graph get_layer_shape pool_to_HW flatten sqr_diff process_layer process_model get_layer_rank slow_but_stable_topological_sort get_attr basic_lstm ModelBuilderContext order_by get_epsilon get_tensor_dtype replace_strings_in_list debug embody by_op get_tensor_dims strided_slice remove_duplicates_from_list axis_to_barracuda by_name locate_actual_output_node convert strides_to_HW get_tensor_data very_slow_but_stable_topological_sort gru ValueHeads CategoricalDistInstance DistInstance DiscreteDistInstance GaussianDistInstance MultiCategoricalDistribution TanhGaussianDistInstance GaussianDistribution Normalizer ResNetBlock conv_output_shape ResNetVisualEncoder SimpleVisualEncoder VectorInput SmallVisualEncoder pool_out_shape NatureVisualEncoder Swish lstm_layer Initialization linear_layer LinearEncoder LSTM MemoryModule ModelSerializer exporting_to_onnx Actor SeparateActorCritic SimpleActor ValueNetwork ActorCritic GlobalSteps LearningRate NetworkBody SharedActorCritic ModelUtils BCModule BaseRewardProvider CuriosityNetwork CuriosityRewardProvider ExtrinsicRewardProvider GAILRewardProvider DiscriminatorNetwork create_reward_provider RNDNetwork RNDRewardProvider RLTrainer Trainer main check_coverage main clean_previous_results TestResults parse_results main main main run_training run_inference find_executables override_config_file init_venv get_unity_executable_path override_legacy_config_file get_base_path run_standalone_build checkout_csharp_version _override_config_dict undo_git_checkout get_base_output_path test_closing test_run_environment test_closing test_run_environment VerifyVersionCommand ActionType BehaviorMapping TerminalStep DecisionSteps BehaviorSpec TerminalSteps BaseEnv DecisionStep Communicator UnityEnvironment validate_environment_path launch_executable get_platform UnityPolicyException UnityCommunicatorStoppedException UnityObservationException UnityWorkerInUseException UnityException UnityCommunicationException UnityTimeOutException UnitySideChannelException UnityEnvironmentException UnityActionException get_logger set_log_level MockCommunicator RpcCommunicator UnityToExternalServicerImplementation OffsetBytesIO _generate_split_indices process_pixels behavior_spec_from_proto _raise_on_nan_and_inf observation_to_np_array steps_from_proto _process_vector_observation _process_visual_observation _get_thread_timer TimerNode merge_gauges hierarchical_timer add_metadata get_timer_tree get_timer_root reset_timers get_timer_stack_for_thread set_gauge timed GaugeNode TimerStack UnityToExternalProtoServicer add_UnityToExternalProtoServicer_to_server UnityToExternalProtoStub BaseRegistryEntry ZipFileWithProgress get_tmp_dir get_local_binary_path_if_exists get_local_binary_path load_local_manifest load_remote_manifest download_and_extract_zip print_progress RemoteRegistryEntry UnityEnvRegistry EngineConfigurationChannel EngineConfig EnvironmentParametersChannel FloatPropertiesChannel IncomingMessage OutgoingMessage RawBytesChannel SideChannel SideChannelManager StatsAggregationMethod StatsSideChannel test_initialization test_reset test_returncode_to_signal_name test_log_file_path_is_set test_close test_step test_port_defaults test_handles_bad_filename test_check_communication_compatibility test_set_logging_level test_validate_path mock_glob_method test_launch_executable test_validate_path_empty create_registry test_basic_in_registry delete_binaries test_rpc_communicator_checks_port_on_create test_rpc_communicator_create_multiple_workers test_rpc_communicator_close test_batched_step_result_from_proto_raises_on_nan test_process_pixels test_process_visual_observation_bad_shape test_agent_behavior_spec_from_proto proto_from_steps_and_action test_batched_step_result_from_proto test_action_masking_continuous test_action_masking_discrete_1 generate_list_agent_proto generate_uncompressed_proto_obs test_batched_step_result_from_proto_raises_on_infinite generate_compressed_proto_obs test_process_pixels_multi_png proto_from_steps test_vector_observation test_action_masking_discrete generate_compressed_data test_action_masking_discrete_2 test_process_pixels_gray test_process_visual_observation test_raw_bytes test_int_channel test_message_float_list IntChannel test_engine_configuration test_message_bool test_message_string test_float_properties test_environment_parameters test_message_int32 test_stats_channel test_message_float32 test_decision_steps test_specs test_terminal_steps test_empty_terminal_steps test_action_generator test_empty_decision_steps test_timers decorated_func table_line ReleaseInfo validate_packages main NonTrivialPEP420PackageFinder main get_release_tag check_file test_pattern main check_all_files git_ls_files set_academy_version_string _escape_non_none extract_version_string print_release_tag_commands check_versions set_package_version set_version set_extension_package_version MagicMock create_mock_vector_steps UnityToGymWrapper sample create_mock_group_spec setup_mock_unityenvironment step MagicMock create_mock_vector_steps UnityToGymWrapper create_mock_group_spec setup_mock_unityenvironment MagicMock create_mock_vector_steps UnityToGymWrapper create_mock_group_spec setup_mock_unityenvironment MagicMock create_mock_vector_steps UnityToGymWrapper sample create_mock_group_spec setup_mock_unityenvironment step MagicMock create_mock_vector_steps UnityToGymWrapper sample reset create_mock_group_spec setup_mock_unityenvironment step MagicMock create_mock_vector_steps UnityToGymWrapper sample reset create_mock_group_spec setup_mock_unityenvironment step tuple CONTINUOUS range DISCRETE list array range BehaviorMapping set_verbosity ConfigProto _get_num_available_cpus _read_in_integer_file join isdir print replaceFilenameExtension add_argument exit verbose source_file ArgumentParser target_file sqrt topologicalSort list hasattr layers addEdge Graph print inputs set len list hasattr layers print filter match trim_model compile data layers print tensors float16 replace layers dumps data dtype layers isinstance print name tensors inputs outputs shape zip array_without_brackets to_json globals Build array_equal pool reduce Build tanh mad tanh mul Build concat add sigmoid sub mad _ tanh mul Build concat add sigmoid mad print sorted keys add_argument_group add_argument ArgumentParser resequence_and_append obs from_observations steps_from_proto vector_actions AgentBuffer append reset_agent vector_observations array visual_observations enumerate make_demo_buffer load_demonstration zip observation_shapes enumerate isdir isfile get_demo_files write SerializeToString _EncodeVarint len parse_args start_learning join save_state join join set_warnings_enabled warning __version__ DEBUG seed load_model set_log_level as_dict debug run_training add_timer_metadata info INFO get_version_string train_model API_VERSION print dumps randint parse_command_line run_cli add_argument ArgumentParser from_dict experiment_config_path load_config fields_dict update items list check_and_structure list items structure register_structure_hook unstructure defaultdict dict_to_defaultdict register_structure_hook register_unstructure_hook structure RLock get_timer_root reset_timers put _send_response StepResponse env_factory list behavior_specs _generate_all_results set_log_level apply get_and_reset_stats set_actions StatsSideChannel action set_configuration EngineConfigurationChannel payload BEHAVIOR_SPECS STEP EnvironmentParametersChannel items EnvironmentResponse isinstance reset RESET step join SACTrainer GhostTrainer PPOTrainer get_minimum_reward_buffer_size trainer_type isdir get update list items copy MemorySettings structure to_settings list items isinstance pop items list print dict pop items list get print set add append keys range len get pop unstructure print convert_behaviors convert_samplers_and_curriculum convert_samplers output_config_path curriculum remove_nones print write_to_yaml_file convert sampler trainer_config_path parse_args get rcls list zeros_like size reversed range append discount_rewards print EnvironmentParameterManager arange ones BehaviorSpec append array int ones AgentExperience append zeros sum range len pop action_shape to_agentbuffer make_fake_trajectory is_action_discrete observation_shapes int BehaviorSpec zeros Mock Mock ActionInfo publish_trajectory_queue range create_mock_steps AgentProcessor empty create_mock_policy add_experiences Mock assert_has_calls ActionInfo publish_trajectory_queue range call create_mock_steps append AgentProcessor empty create_mock_policy add_experiences Mock assert_has_calls ActionInfo end_episode publish_trajectory_queue range call create_mock_steps append AgentProcessor empty create_mock_policy add_experiences AgentManager create_mock_policy Mock get_nowait AgentManagerQueue put Mock assert_any_call remove record_environment_stats AgentManager add_writer StatsReporter write_stats flatten list range len append range AgentBuffer resequence_and_append get_batch construct_fake_buffer assert_array make_mini_batch AgentBuffer reset_agent array resequence_and_append sample_mini_batch construct_fake_buffer AgentBuffer resequence_and_append construct_fake_buffer AgentBuffer resequence_and_append list construct_fake_buffer AgentBuffer truncate values safe_load convert_behaviors safe_load convert enumerate remove_nones load_demonstration demo_to_buffer dirname abspath load_demonstration demo_to_buffer dirname abspath dirname abspath dirname abspath mock_open BytesIO DemonstrationMetaProto write_delimited from_dict safe_load curriculum from_dict safe_load curriculum from_dict safe_load curriculum EnvironmentParameterManager environment_parameters from_dict safe_load EnvironmentParameterManager environment_parameters clear safe_load MagicMock parse_command_line clear parse_command_line parse_command_line TrainerSettings FakeTrainer set_is_policy_updating end_episode list create_rl_trainer values items list construct_fake_buffer create_rl_trainer _clear_update_buffer Mock create_rl_trainer set_is_policy_updating subscribe_trajectory_queue advance put make_fake_trajectory publish_policy_queue AgentManagerQueue add_policy get_nowait range Mock list assert_has_calls create_rl_trainer subscribe_trajectory_queue summary_freq checkpoint_interval put make_fake_trajectory publish_policy_queue advance AgentManagerQueue add_policy get_nowait range list items items list isinstance zip RunOptions check_if_different TrainerSettings RunOptions deep_update_dict structure structure structure RunOptions from_dict check_dict_is_at_least safe_load as_dict EnvironmentSettings from_dict check_if_different structure clear assert_called_once_with Mock get_stats_summaries add_stat add_writer StatsReporter float range write_stats clear Mock add_property add_writer StatsReporter assert_called_once_with sleep TensorboardWriter StatsSummary write_stats check_environment_trains close simple_env_factory SubprocessEnvManager default_config default_config close SubprocessEnvManager GhostController MagicMock GhostController TrainerController MagicMock assert_called_with MagicMock start_learning assert_called_once MagicMock assert_not_called start_learning assert_called_once MagicMock MagicMock assert_called_once MagicMock advance add assert_not_called behaviors ppo_dummy_config behaviors TrainerFactory generate _load_config StringIO mkdir join handle_existing_directories join set_parameter_state LESSON_NUM load_state NOTAREALKEY get_parameter_state save_state join NNCheckpoint time add_checkpoint set_parameter_state CHECKPOINTS track_final_checkpoint append from_observations range ones items list to_agentbuffer add set make_fake_trajectory extract_stack filename get __old_np_array _check_no_float64 get _check_no_float64 __old_np_zeros get __old_np_ones _check_no_float64 join remove _get_candidate_names convert _get_default_tempdir dirname abspath isfile next TrainerSettings initialize TFPolicy BehavioralCloningSettings create_bc_module create_mock_3dball_behavior_specs update items list create_mock_3dball_behavior_specs BehavioralCloningSettings create_bc_module update items list create_mock_3dball_behavior_specs BehavioralCloningSettings current_lr create_bc_module update items list create_mock_3dball_behavior_specs BehavioralCloningSettings create_bc_module update items list create_mock_banana_behavior_specs BehavioralCloningSettings create_bc_module update items list create_mock_banana_behavior_specs BehavioralCloningSettings create_bc_module setup_test_behavior_specs load_weights zip assert_array_equal get_weights PPOTrainer create_policy GhostController GhostTrainer PPOTrainer subscribe_trajectory_queue setup_test_behavior_specs put advance make_fake_trajectory from_name_behavior_id AgentManagerQueue add_policy brain_name create_policy GhostController GhostTrainer PPOTrainer simulate_rollout get_nowait setup_test_behavior_specs _swap_snapshots advance publish_policy_queue from_name_behavior_id AgentManagerQueue add_policy brain_name create_policy DISCRETE int BehaviorSpec create_input_placeholders observation_shapes create_behavior_spec TFPolicy setup_test_behavior_specs list evaluate agent_id create_steps_from_behavior_spec behavior_spec assert_array_equal TrainerSettings list evaluate agent_id create_steps_from_behavior_spec behavior_spec create_policy_mock reset_default_graph TrainerSettings TFPolicy update_normalization to_agentbuffer setup_test_behavior_specs make_fake_trajectory run array range len TrainerSettings TFPolicy update_normalization to_agentbuffer setup_test_behavior_specs make_fake_trajectory zeros range run evolve initialize TFPolicy setup_test_behavior_specs PPOOptimizer update simulate_rollout behavior_spec _create_ppo_optimizer_ops_mock reset_default_graph update simulate_rollout behavior_spec _create_ppo_optimizer_ops_mock reset_default_graph update evolve simulate_rollout ppo_dummy_config behavior_spec _create_ppo_optimizer_ops_mock reset_default_graph items list get_trajectory_value_estimates to_agentbuffer make_fake_trajectory _create_ppo_optimizer_ops_mock next_obs reset_default_graph assert_array_almost_equal array discount_rewards evolve Mock brain_name ppo_dummy_config _increment_step from_name_behavior_id assert_called_with add_policy PPOTrainer _update_policy simulate_rollout setup_test_behavior_specs MemorySettings from_name_behavior_id add_policy PPOTrainer create_policy list values Mock brain_name from_name_behavior_id add_policy PPOTrainer initialize TFPolicy setup_test_behavior_specs PPOOptimizer SACOptimizer simulate_rollout behavior_spec evaluate_batch simulate_rollout prepare_update _execute_model behavior_spec update_dict make_mini_batch policy BehavioralCloningSettings create_optimizer_mock reward_signal_eval reward_signal_update create_optimizer_mock reward_signal_eval reward_signal_update create_optimizer_mock reward_signal_eval reward_signal_update create_optimizer_mock reward_signal_eval reward_signal_update create_optimizer_mock reward_signal_eval reward_signal_update create_optimizer_mock reward_signal_eval reward_signal_update create_optimizer_mock reward_signal_eval reward_signal_update create_optimizer_mock reward_signal_eval reward_signal_update initialize TFPolicy setup_test_behavior_specs SACOptimizer update simulate_rollout create_sac_optimizer_mock behavior_spec reset_default_graph simulate_rollout create_sac_optimizer_mock behavior_spec update_reward_signals reset_default_graph SACTrainer save_model simulate_rollout num_experiences setup_test_behavior_specs behavior_spec from_name_behavior_id add_policy brain_name create_policy SACTrainer list SACTrainer values setup_test_behavior_specs initialize_or_load from_name_behavior_id brain_name create_policy TrainerSettings Mock TFModelSaver create_policy_mock register TrainerSettings join initialize_or_load create_policy_mock TFModelSaver set_step save_checkpoint register _compare_two_policies TrainerSettings join TFModelSaver create_policy_mock save_checkpoint reset_default_graph register TrainerSettings join TFPolicy update_normalization to_agentbuffer setup_test_behavior_specs initialize_or_load make_fake_trajectory TFModelSaver save_checkpoint zeros register range run EnvironmentParameterManager evolve SimpleEnvironment _check_environment_trains hyperparameters evolve SimpleEnvironment _check_environment_trains hyperparameters evolve SimpleEnvironment _check_environment_trains network_settings evolve SimpleEnvironment hyperparameters _check_environment_trains network_settings evolve MemoryEnvironment hyperparameters _check_environment_trains evolve SimpleEnvironment _check_environment_trains hyperparameters evolve SimpleEnvironment _check_environment_trains hyperparameters evolve SimpleEnvironment _check_environment_trains network_settings evolve SimpleEnvironment hyperparameters _check_environment_trains network_settings evolve MemoryEnvironment hyperparameters _check_environment_trains evolve SimpleEnvironment SelfPlaySettings _check_environment_trains evolve SimpleEnvironment SelfPlaySettings _check_environment_trains evolve SimpleEnvironment SelfPlaySettings _check_environment_trains evolve SimpleEnvironment SelfPlaySettings _check_environment_trains evolve SimpleEnvironment BehavioralCloningSettings _check_environment_trains simple_record evolve SimpleEnvironment BehavioralCloningSettings hyperparameters _check_environment_trains simple_record evolve SimpleEnvironment BehavioralCloningSettings hyperparameters _check_environment_trains simple_record MagicMock TrainerSettings basic_mock_brain BehaviorSpec get_action empty FakePolicy TrainerSettings MagicMock basic_mock_brain DecisionSteps get_action array FakePolicy TrainerSettings MagicMock basic_mock_brain ActionInfo DecisionSteps get_action array FakePolicy _convert_version_string BCModule TorchPolicy items list assert_stats_are_float assert_stats_are_float update MagicMock create_mock_3dball_behavior_specs BehavioralCloningSettings current_lr create_bc_module assert_stats_are_float assert_stats_are_float assert_stats_are_float ones value_heads ValueHeads backward ones zero_grad Adam range flatten parameters shape manual_seed zeros step mse_loss log_prob GaussianDistribution gauss_dist zip backward ones all_log_prob create_test_prob zero_grad Adam tolist parameters manual_seed MultiCategoricalDistribution tensor step range enumerate ones GaussianDistInstance flatten manual_seed sample zeros ones manual_seed sample TanhGaussianDistInstance range zeros CategoricalDistInstance log_prob manual_seed sample tensor range items list zip Normalizer tensor update copy_from vector_encoder Mock ones update_normalization VectorInput assert_called_with copy_normalization ones vis_class enc Swish Tensor mul sigmoid linear_layer manual_seed lstm_layer named_parameters manual_seed ones LSTM lstm manual_seed backward ones zero_grad Adam flatten parameters shape manual_seed networkbody step mse_loss range NetworkBody NetworkSettings backward ones zero_grad Adam flatten parameters shape manual_seed networkbody step mse_loss range NetworkBody NetworkSettings backward ones zero_grad Adam flatten parameters shape manual_seed networkbody step mse_loss range NetworkBody NetworkSettings list backward ones zero_grad Adam parameters ValueNetwork manual_seed value_net step range values NetworkSettings NetworkSettings ones SimpleActor sample_action forward get_dists ones CONTINUOUS critic_pass get_dist_and_value tensor ac_type NetworkSettings TorchPolicy TrainerSettings list visual_processors simulate_rollout use_continuous_act list_to_tensor behavior_spec create_policy_mock unsqueeze append evaluate_actions values enumerate TrainerSettings sample_actions visual_processors simulate_rollout list_to_tensor behavior_spec create_policy_mock unsqueeze append enumerate evolve TorchPolicy setup_test_behavior_specs TorchPPOOptimizer ones_like create_test_ppo_optimizer ones_like create_test_ppo_optimizer ones_like create_test_ppo_optimizer create_test_ppo_optimizer TorchSACOptimizer TorchPolicy manual_seed check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains check_environment_trains enc_func ones get_encoder_for_type _check_resolution_for_encoder forward append list create_input_processors range get_value CONSTANT LINEAR DecayedValue zip polynomial_decay zip list_to_tensor asarray tensor break_into_branches enumerate tensor actions_to_onehot zip get_probs_and_entropy flatten tensor masked_mean tensor bool T TestModule soft_update TorchModelSaver TorchModelSaver unsqueeze _split_decision_step TorchModelSaver TrainerSettings behavior_spec set_step HyperparametersClass save_checkpoint register list hasattr create_agent_buffer TorchModelSaver get_modules zip keys join items initialize_or_load parameters create_policy_mock OptimizerClass CuriosityRewardProvider CuriositySettings CURIOSITY create_reward_provider CuriositySettings seed update create_agent_buffer CuriosityRewardProvider manual_seed range CuriositySettings seed update create_agent_buffer CuriosityRewardProvider item manual_seed tensor range CuriositySettings seed update create_agent_buffer CuriosityRewardProvider mean manual_seed to_numpy float range CuriositySettings ExtrinsicRewardProvider RewardSignalSettings EXTRINSIC RewardSignalSettings ExtrinsicRewardProvider RewardSignalSettings evaluate create_agent_buffer GAILRewardProvider GAILSettings GAIL GAILSettings create_reward_provider GAILSettings GAIL seed update create_reward_provider GAILSettings create_agent_buffer manual_seed GAIL range RNDSettings RNDRewardProvider RNDSettings RND RNDRewardProvider RNDSettings from_observations ones range AgentBuffer append zeros vector_observations visual_observations enumerate convert_to_barracuda convert convert_to_onnx _make_frozen_graph _enforce_onnx_conversion convert_frozen_to_onnx info makedirs tf_optimize make_model _get_output_node_names _get_input_node_names info optimize_graph _get_frozen_graph_node_names add _get_frozen_graph_node_names name add node set info endswith len print HasField hasattr get_attr isinstance get_attr tensor_shape ndarray isinstance shape int_val bool_val float_val ListFields name ndarray isinstance str tensor_content ndarray product isinstance get_tensor_dtype print get_tensor_dims unpack int_val bool_val array float_val enter append add set Build mul sub insert Build tolist append range len locate_actual_output_node name find_tensor_by_name split locate_actual_output_node name lstm find_tensor_by_name find_forget_bias split get_layer_shape id Struct tensor get_layer_rank layer_ranks hasattr name patch_data rank input_shapes out_shapes input get_attr append replace_strings_in_list tensors embody astype op inputs zip enumerate print float32 patch_data_fn model_tensors map_ignored_layer_to_its_input co_argcount len items list hasattr get_tensors name print process_layer eval slow_but_stable_topological_sort ModelBuilderContext sort assign_ids pop range insert len layers verbose Struct process_model open print_known_operations fuse compress node GraphDef Model dims_to_barracuda_shape insert get_tensor_dims inputs MessageToJson ParseFromString cleanup_layers read memories sort write trim summary print_supported_ops floor data Linear LSTM add_ range named_parameters local get rcls print join exit walk float check_coverage join remove mkdir rmdir exists documentElement getAttribute parse join clean_previous_results parse_results get_unity_executable_path exit returncode get_base_path copy2 init_venv add_argument ArgumentParser split strip run_standalone_build override_config_file run_inference get_base_path rename abspath checkout_csharp_version exists run dirname get_base_output_path init_venv override_legacy_config_file copy int time join print run_standalone_build makedirs find_executables join time print run python run_training csharp exists join move get_unity_executable_path print makedirs dirname get_base_output_path run join X_OK frozenset splitext append access walk check_call check_call check_call list _override_config_dict values items list isinstance update list values check_call str UnityToGymWrapper print step reset sample UnityEnvironment range reset UnityEnvironment close UnityToGymWrapper get_steps is_action_discrete format EngineConfigurationChannel randn set_configuration_parameters discrete_action_branches len action_size any set_actions is_action_continuous column_stack join basename replace glob debug getcwd set normpath validate_environment_path debug add setLevel getLogger basicConfig setLevel tuple vector_action_size OffsetBytesIO original_tell concatenate reshape index mean append array data compressed_data reshape process_pixels shape array mean isnan array _raise_on_nan_and_inf sum is_action_discrete _generate_split_indices ones discrete_action_branches len astype _raise_on_nan_and_inf any cast split append _process_vector_observation bool _process_visual_observation array observation_shapes enumerate range len get_ident TimerStack perf_counter push items list merge reset method_handlers_generic_handler add_generic_rpc_handlers download_and_extract_zip get_local_binary_path_if_exists debug range glob hexdigest join get_tmp_dir join chmod gettempdir makedirs uuid4 join int str remove get_tmp_dir exists chmod print glob rmtree urlopen print_progress hexdigest print int min max uuid4 join str get_tmp_dir load_local_manifest urlopen UnityEnvironment close MockCommunicator UnityEnvironment MockCommunicator _executable_args UnityEnvironment MockCommunicator index get_steps obs close reset MockCommunicator zip UnityEnvironment observation_shapes len get_steps obs zip ones step close MockCommunicator set_actions zeros UnityEnvironment observation_shapes len UnityEnvironment close MockCommunicator validate_environment_path validate_environment_path launch_executable PermissionError set_log_level rmtree get_tmp_dir RemoteRegistryEntry register UnityEnvRegistry create_registry make close reset step range delete_binaries close RpcCommunicator close RpcCommunicator close RpcCommunicator list extend ObservationProto AgentInfoProto append prod range len fromarray list uint8 BytesIO bytes concatenate astype shape save zeros range ObservationProto generate_compressed_data extend shape ObservationProto shape tolist extend obs concatenate action_mask agent_id ObservationProto AgentInfoProto append generate_uncompressed_proto_obs proto_from_steps generate_compressed_data process_pixels rand generate_compressed_data process_pixels rand generate_compressed_data process_pixels rand _process_vector_observation generate_list_agent_proto enumerate generate_compressed_proto_obs rand extend AgentInfoProto _process_visual_observation generate_uncompressed_proto_obs generate_compressed_proto_obs rand AgentInfoProto extend list sort CONTINUOUS agent_id BehaviorSpec steps_from_proto generate_list_agent_proto range BehaviorSpec steps_from_proto DISCRETE generate_list_agent_proto action_mask BehaviorSpec steps_from_proto DISCRETE generate_list_agent_proto action_mask BehaviorSpec steps_from_proto DISCRETE generate_list_agent_proto action_mask CONTINUOUS BehaviorSpec steps_from_proto generate_list_agent_proto action_mask BrainParametersProto behavior_spec_from_proto extend CONTINUOUS generate_list_agent_proto BehaviorSpec CONTINUOUS generate_list_agent_proto BehaviorSpec generate_side_channel_messages process_side_channel_message send_int IntChannel FloatPropertiesChannel process_side_channel_message generate_side_channel_messages get_property set_property uuid4 process_side_channel_message generate_side_channel_messages RawBytesChannel send_raw_data get_and_clear_received_messages len buffer read_bool append write_bool IncomingMessage range OutgoingMessage buffer write_int32 read_int32 IncomingMessage OutgoingMessage IncomingMessage write_float32 buffer read_float32 OutgoingMessage read_string write_string buffer IncomingMessage OutgoingMessage IncomingMessage buffer OutgoingMessage read_float32_list write_float32_list set_configuration channel_id EngineConfigurationChannel generate_side_channel_messages process_side_channel_message set_configuration_parameters RawBytesChannel read_float32 read_int32 IncomingMessage get_and_clear_received_messages default_config channel_id generate_side_channel_messages process_side_channel_message read_string set_float_parameter RawBytesChannel read_float32 read_int32 IncomingMessage EnvironmentParametersChannel IncomingMessage write_float32 write_string buffer write_int32 get_and_reset_stats on_message_received StatsSideChannel OutgoingMessage DecisionSteps action_mask empty BehaviorSpec TerminalSteps empty BehaviorSpec BehaviorSpec create_random_action enumerate BehaviorSpec create_empty_action set_gauge TimerStack startswith print find_packages find validate_packages remove replace frozenset endswith set add walk print git_ls_files get_release_tag check_all_files compile join print extract_version_string set values join format set_academy_version_string print set_package_version set_extension_package_version enumerate split print | zachary2940/ml-agents-assignment | 4,271 |
zalanborsos/online-variance-reduction | ['stochastic optimization'] | ['Online Variance Reduction for Stochastic Optimization'] | setup.py vrb/__init__.py vrb/test.py vrb/vrb.py test_bandit test_sampling SamplerBase VarianceReducerBandit batch_sample RandomState ones astype sqrt SegmentTreeSampler batch_update range sample VarianceReducerBandit update reset | zalanborsos/online-variance-reduction | 4,272 |
zalanborsos/variance-reduction-mixtures | ['stochastic optimization'] | ['Online Variance Reduction for Stochastic Optimization', 'Online Variance Reduction with Mixtures'] | vrm.py kmeansis.py KmeansIS Sampler VRM | zalanborsos/variance-reduction-mixtures | 4,273 |
zalandoresearch/CRISP | ['time series'] | ['CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data'] | code/experiments/exp_5.2/exp_test_quarantine.py code/test_gibbs_sampler.py code/experiments/exp_5.1/exp51_lbp.py code/experiments/exp_5.1/exp51.py nb_iter init_contacts make_figure init_contacts make_figure Contacts CRISP GibbsScoringPolicy LockdownPolicy PolicyEvaluator LBPScoringPolicy argument_parser NoPolicy InfectionState ContactTracingPolicy SymptomPolicy nbinom pmf count seed list arange ones warn zip sample trange arange plot xlabel grid advance mean GibbsPIS cycler trange figure legend gca zeros set_prop_cycle range values list get_marginals format concatenate propagate LBPPIS time print add_argument ArgumentParser | zalandoresearch/CRISP | 4,274 |
zalandoresearch/pytorch-dilated-rnn | ['sequential image classification'] | ['Dilated Recurrent Neural Networks'] | copy_memory/copymem_test.py char_rnn/char_rnn_test.py copy_memory/model.py drnn.py char_rnn/model.py tests.py copy_memory/utils.py classify.py char_rnn/utils.py lm.py Classifier DRNN repackage_hidden get_batch evaluate train Dictionary RNNModel Corpus batchify TestReshape TestPassHidden TestForward TestHidden main train evaluate DRNN_Char char_tensor get_batch read_file data_generator save Dictionary Corpus batchify train evaluate DRNN_Copy data_generator size cuda narrow contiguous Variable min view len repackage_hidden list get_batch bptt view size lm dictionary eval range init_hidden len repackage_hidden data batch_size add_ zero_grad clip list exp bptt view dictionary range format get_batch size lm clip_grad_norm enumerate time log_interval criterion backward print parameters init_hidden len validseqlen model criterion seq_len enumerate model log append int validseqlen seq_len step format evaluate print param_groups range save append train epochs log Corpus len read long range len view size seq_len contiguous print format print contiguous sum contiguous lr ones zeros float long cat | zalandoresearch/pytorch-dilated-rnn | 4,275 |
zc8340311/RobustAutoencoder | ['denoising', 'anomaly detection'] | ['Anomaly Detection with Robust Deep Autoencoders'] | model/SparseModels/RobustKLSparseAutoencoder.py model/BasicAutoencoder/DeepAE.py model/SparseModels/KLSparseAutoencoder.py model/SparseModels/l1SparseAutoencoder.py oldversion/experiment/experiment_sa_userprog212.py oldversion/theano/GivenY_autoencoder/experiment.py oldversion/experiment/experiment_L1_rsa_MNIST_4_other.py oldversion/experiment/experiment_sparse_autoencoder.py data/ImShow.py oldversion/experiment/packets1000_category.py model/l21RobustDeepAutoencoder.py model/SparseModels/RobustDropoutSparseAutoencoder.py model/SparseModels/Robustl1SparseAutoencoder.py model/l21RobustDeepAutoencoderOnST.py oldversion/experiment/experiment_rsa_userprog215.py oldversion/theano/DeepAE.py oldversion/theano/ImShow.py experiments/Outlier Detection/experiment1.py model/SparseModels/DropoutSparseAutoencoder.py model/SparseModels/RobustSparseAutoencoder.py oldversion/experiment/experiment_rae_multiset.py oldversion/experiment/experiment_rae_userprog212.py oldversion/experiment/slice2_wide_range.py model/shrink/l1shrink.py oldversion/test/experiment.py oldversion/test/experiment1.py oldversion/experiment/experiment_sa_userprog215.py oldversion/experiment/Netflow_50000.py model/shrink/l21shrink.py oldversion/test/experiment_on_jet.py oldversion/experiment/packets1000_raw.py oldversion/experiment/experiment_rsa_MNIST_Four_other.py oldversion/experiment/demo_compare_3_sparse_hidden.py oldversion/theano/GivenY_autoencoder/DeepRAE_target.py oldversion/experiment_Denoising.py oldversion/experiment/experiment_rsa_MNIST_4_other.py oldversion/theano/DeepRAE.py experiment_OutlierDetection.py oldversion/experiment/packets1000_binary_narrow.py experiments/NewTestExperiment/experiment_OutlierDetection.py oldversion/experiment/experiment_rsa_dropout_Four_other.py util/addNoise.py model/RobustDeepAutoencoder.py oldversion/test/experiment_XT.py oldversion/test/experiment_on_storm.py oldversion/theano/GivenY_autoencoder/DeepAE_target.py experiments/Outlier Detection/experiment2.py oldversion/experiment/packets1000_binary.py oldversion/experiment/slice2_narrow_range.py model/SparseModels/l21SparseAutoencoder.py oldversion/theano/experiment.py experiment_frame l21RDAE scale_to_unit_interval tile_raster_images experiment_frame l21RDAE l21RDAE_compressFeature onePixel_fixedNoise compare_frame onePixel_uniformNoise onePixel_GaussianNoise l21RDAE_compressFeature onePixel_fixedNoise compare_frame onePixel_uniformNoise onePixel_GaussianNoise RobustL21Autoencoder RobustL21Autoencoder RDAE Deep_Autoencoder test batches shrink l21shrink Dropout_Sparse_Autoencoder batches KL_Sparse_Autoencoder batches l1_Sparse_Autoencoder batches Sparsel21_Deep_Autoencoder batches RobustDropoutSparseAutoencder Robust_KL_SparseAutoencder Robust_l1_SparseAutoencder RobustSparseAutoencder compare_RDAE_DAE one_run oneRun pred one_run one_run oneRun oneRun oneRun one_run one_run one_run one_run l21RDAE_compressFeature compare_frame l21RDAE_compressFeature compare_frame l21RDAE_compressFeature compare_frame l21RDAE_compressFeature compare_frame l21RDAE_compressFeature compare_frame l21RDAE_compressFeature compare_frame l21RDAE_compressFeature compare_frame testIter HiddenLayer testDAE2 testDAE3 testHiddenLayer DeepAE testDAE shrink test DRAE DRAE2 test3 test2 DRAE3 minShrink1Plus2Norm compareDRAEandDAE corrupt add_noise scale_to_unit_interval tile_raster_images testIter HiddenLayer testDAE2 DeepAE_target testDAE3 testHiddenLayer testDAE shrink DRAE_target test test3 test2 minShrink1Plus2Norm compareDRAEandDAE corrupt add_noise onePixel_uniformNoise onePixel_fixedNoise onePixel_GaussianNoise chdir makedirs load fromarray str arange chdir l21RDAE save tile_raster_images makedirs copy isinstance reshape scale_to_unit_interval zeros range chdir makedirs int list random_sample map uniform floor range int list random_sample random map floor int list normal random_sample map floor range load str fromarray l21RDAE_compressFeature save tile_raster_images arange range print str time array enumerate norm range copy chdir makedirs list values DataFrame fit_transform DictVectorizer print rand getRecon DeepAE sum fit load fromarray T function tile_raster_images print get_corrupted_input get_cX getRecon save DeepAE matrix fit load fromarray T function tile_raster_images print get_corrupted_input get_cX getRecon save DeepAE matrix fit data fromarray load_digits tile_raster_images print getRecon save DeepAE fit HiddenLayer RandomState function print rand output shape matrix type out zeros len range shape ones shape isscalar range len load fromarray get_Weights getRecon DRAE shape save tile_raster_images transform fit load fromarray get_Weights print getRecon shape save tile_raster_images transform DRAE2 fit load fromarray get_Weights print getRecon shape DRAE2 save tile_raster_images transform float max fit fromarray dump DeepAE chdir print fit getRecon save tile_raster_images transform DRAE3 makedirs seed int list print choice range randint range copy corrupt sum DRAE_target copy corrupt DRAE_target DeepAE_target | zc8340311/RobustAutoencoder | 4,276 |
zcc31415926/FFNet | ['autonomous driving'] | ['Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward'] | data_processing.py main.py extract_random_val_batch determine_angle get_train_data generate_one_hot_list get_txt_data find_second_largest_element determine_average_degree organize_val_data organize_train_data val train write_test_results build_model append range max var determine_angle abs print min cos sqrt sin append sum array range len argmax deepcopy list imresize print astype float32 zfill shuffle get_txt_data zip append imread range len deepcopy list imresize print astype float32 zfill shuffle get_txt_data zip append imread range len append float32 astype range append int range shuffle Saver save num_val_data run open extract_random_val_batch restore str get_train_data exit range build_model get_checkpoint_state close mkdir InteractiveSession join print write isnan rmtree num_train_data model_checkpoint_path global_variables_initializer deepcopy restore time build_model print get_checkpoint_state model_checkpoint_path num_val_data Saver determine_average_degree round run global_variables_initializer float abs range InteractiveSession restore build_model print get_checkpoint_state result_2d_path zfill model_checkpoint_path rmtree Saver mkdir img_path run global_variables_initializer imread range InteractiveSession | zcc31415926/FFNet | 4,277 |
zcyang/imageqa-san | ['visual question answering'] | ['Stacked Attention Networks for Image Question Answering'] | src/data_provision_att_vqa.py src/san_att_conv_twolayer_theano.py data_vqa/preprocess_data.py src/san_att_lstm_twolayer.py src/san_att_conv_twolayer.py src/log.py src/san_att_lstm_twolayer_theano.py data_vqa/process_function.py data_vqa/feature_extract.py src/optimization_weight.py src/data_processing_vqa.py get_feature load_model process_sentence process_answer process_batch get_label_idx reshape_image_feat DataProvisionAttVqa setup_custom_logger adagrad rmsprop_nestrov sgd rmsprop adam adadelta train get_lr save_model init_fflayer shared_to_cpu cpu_to_shared init_shared_params init_convlayer fflayer init_convweight load_model init_weight maxpool_layer init_params relu build_model ortho_weight get_layer dropout_layer tanh linear similarity_layer convlayer train get_lr lstm_layer save_model init_fflayer shared_to_cpu cpu_to_shared init_shared_params fflayer init_lstm_layer lstm_append_layer_fast load_model init_weight lstm_append_layer init_params relu build_model ortho_weight get_layer dropout_layer tanh linear similarity_layer set_mode_gpu Net dict TEST transpose astype float32 copy forward join replace UNICODE strip sub enumerate compile split append process_sentence setdefault split len append zeros max enumerate zeros range stdout setFormatter getLogger addHandler StreamHandler Formatter setLevel INFO function scalar function scalar function float32 scalar function scalar function float32 sqrt shared scalar function scalar ceil max function save_model getLogger shared_to_cpu next_batch_sample reshape_image_feat flatten init_shared_params set_value transpose get_size f_param_update iterate_batch append shared init_params sum get_lr range random_shuffle process_batch build_model f_grad_cache_update grad info float keys join f_grad_clip DataProvisionAttVqa f_val float32 dict isnan f_train next_batch items get_value items set_value OrderedDict shared_to_cpu dump open load init_shared_params open svd randn OrderedDict range astype init_fflayer OrderedDict shared items zeros init_weight init_convweight astype binomial switch float32 shape scan flatten argmax max fflayer RandomStreams ivector eq shared sum range get concatenate imatrix mean dropout_layer softmax matrix reshape float32 ftensor3 init_lstm_layer get concatenate float32 init_weight zeros scan dot tanh sigmoid scan lstm_layer zeros | zcyang/imageqa-san | 4,278 |
zechagl/NLPCC2019-Semantic-Parsing | ['semantic parsing'] | ['A Sketch-Based System for Semantic Parsing'] | src/multitask/deal_with_multi_task.py src/score/merge.py src/pointer/get_pointer_data.py src/pep/mspars_pep.py src/pep/get_dict_file.py src/patternpair/comb.py src/score/label_in_timestep2.py src/patternpair/get_new_train_file.py bert/tokenization_test.py bert/run_classifier_with_tfhub.py bert/extract_features.py bert/create_pretraining_data.py bert/optimization_test.py bert/run_squad.py src/patternpair/merge.py bert/optimization.py src/multitask/get_multi_task_data.py src/multitask/mspars_multi_task.py src/pointer/basic.py src/score/score_merge.py bert/run_pretraining.py bert/modeling_test.py src/pointer/pointer.py src/score/logic_form.py bert/run_classifier.py bert/__init__.py bert/modeling.py src/patternpair/mspars_pattern_pair.py src/score/try_ts.py bert/tokenization.py src/score/entity_in_timestep2.py TrainingInstance create_int_feature create_instances_from_document create_training_instances write_instance_to_example_files main create_float_feature truncate_seq_pair create_masked_lm_predictions read_examples InputFeatures input_fn_builder InputExample _truncate_seq_pair convert_examples_to_features main model_fn_builder embedding_lookup reshape_from_matrix dropout assert_rank reshape_to_matrix layer_norm_and_dropout get_shape_list gelu create_initializer BertConfig attention_layer get_activation layer_norm embedding_postprocessor transformer_model create_attention_mask_from_input_mask get_assignment_map_from_checkpoint BertModel BertModelTest create_optimizer AdamWeightDecayOptimizer OptimizationTest create_model InputFeatures MrpcProcessor ColaProcessor input_fn_builder file_based_input_fn_builder MnliProcessor InputExample _truncate_seq_pair model_fn_builder file_based_convert_examples_to_features convert_examples_to_features DataProcessor main PaddingInputExample XnliProcessor convert_single_example main create_tokenizer_from_hub_module create_model model_fn_builder get_masked_lm_output gather_indexes get_next_sentence_output input_fn_builder _decode_record main model_fn_builder _check_is_max_context create_model _compute_softmax InputFeatures input_fn_builder get_final_text _improve_answer_span _get_best_indexes validate_flags_or_throw read_squad_examples convert_examples_to_features SquadExample FeatureWriter main write_predictions model_fn_builder validate_case_matches_checkpoint convert_by_vocab FullTokenizer BasicTokenizer convert_ids_to_tokens WordpieceTokenizer printable_text convert_tokens_to_ids load_vocab whitespace_tokenize convert_to_unicode _is_whitespace _is_control _is_punctuation TokenizationTest main get_entity deal_with_multi_task deal_with_x main get_entity_labeling generate_multi_task_data create_model InputFeatures file_based_input_fn_builder hidden2tag InputExample filed_based_convert_examples_to_features crf_loss MsparsProcessor model_fn_builder main softmax_layer write_tokens DataProcessor convert_single_example recover comb combp combp2 eval generate_line_numbers get_data get_new_train_file main merge main merge_json merge create_model InputFeatures input_fn_builder file_based_input_fn_builder InputExample _truncate_seq_pair model_fn_builder file_based_convert_examples_to_features MSParSRelationProcessor convert_examples_to_features main PaddingInputExample DataProcessor convert_single_example main get_dict_file create_model InputFeatures input_fn_builder file_based_input_fn_builder InputExample _truncate_seq_pair model_fn_builder file_based_convert_examples_to_features MSParSRelationProcessor convert_examples_to_features main PaddingInputExample DataProcessor convert_single_example Config get_pointer_data main s2s value_filter_for_superlative entity_num entity_match get_prob data_load labelfordata get_logic get_relation score process loss_score filter_error score get_cover_prob return_to_raw process deal_file_ts1 get_type_pattern check_pattern get_pattern segment_ids tokens list convert_tokens_to_ids masked_lm_labels SerializeToString OrderedDict Example append masked_lm_positions value create_int_feature TFRecordWriter close info keys enumerate join write create_float_feature len Feature Feature list extend shuffle create_instances_from_document keys range len TrainingInstance extend append randint truncate_seq_pair create_masked_lm_predictions range len int list sorted min len shuffle MaskedLmInstance set add index append label round max enumerate pop len FullTokenizer Random max_seq_length Glob extend masked_lm_prob dupe_factor create_training_instances short_seq_prob set_verbosity write_instance_to_example_files info random_seed max_predictions_per_seq INFO split input_type_ids input_mask append unique_id input_ids join text_b InputFeatures convert_tokens_to_ids _truncate_seq_pair tokenize info append unique_id text_a enumerate len pop len read_examples input_fn_builder bert_config_file TPUEstimator PER_HOST_V2 convert_examples_to_features input_file from_json_file model_fn_builder RunConfig pow tanh sqrt pi lower name group OrderedDict match list_variables layer_norm dropout one_hot reshape get_shape_list matmul gather expand_dims get_variable one_hot reshape get_shape_list layer_norm_and_dropout matmul assert_less_equal get_variable ones reshape get_shape_list float32 cast dense dropout multiply get_shape_list reshape transpose float32 matmul transpose_for_scores expand_dims sqrt cast softmax float reshape_to_matrix int get_shape_list append reshape_from_matrix range reshape_to_matrix as_list assert_rank name shape append enumerate reshape ndims get_shape_list name integer_types ndims isinstance trainable_variables list constant get_or_create_global_step gradients clip_by_global_norm group float32 apply_gradients cast int32 zip polynomial_decay CrossShardOptimizer AdamWeightDecayOptimizer join text_b isinstance InputFeatures convert_tokens_to_ids len _truncate_seq_pair tokenize guid info append text_a enumerate segment_ids create_int_feature TFRecordWriter write SerializeToString close OrderedDict Example input_mask info input_ids enumerate convert_single_example get_variable get_pooled_output value BertModel segment_ids label_id convert_single_example do_eval get_train_examples TPUClusterResolver init_checkpoint output_dir do_train do_predict file_based_convert_examples_to_features validate_case_matches_checkpoint eval_batch_size tpu_name data_dir len get_labels do_lower_case append PaddingInputExample use_tpu predict predict_batch_size lower MakeDirs num_train_epochs int warmup_proportion join evaluate file_based_input_fn_builder get_dev_examples get_test_examples train train_batch_size Module add dict set bert_module create_tokenizer_from_hub_module bert_hub_module_handle gather_indexes reshape get_shape_list range gather parse_single_example to_int32 list keys join is_whitespace whitespace_tokenize version_2_with_negative warning SquadExample append len _DocSpan printable_text _improve_answer_span orig_answer_text length range doc_tokens question_text start output_fn _check_is_max_context namedtuple join tokenize range length start min enumerate reshape get_shape_list transpose get_sequence_output matmul unstack bias_add int64 FixedLenFeature strip end_logit _get_best_indexes sorted defaultdict get_final_text _NbestPrediction end_logits OrderedDict append start_logit replace _compute_softmax start_logits info enumerate join namedtuple text _PrelimPrediction version_2_with_negative split join _strip_spaces iteritems BasicTokenizer len info verbose_logging tokenize find sorted append range enumerate len append exp validate_case_matches_checkpoint init_checkpoint do_lower_case do_predict do_train RawResult validate_flags_or_throw max_answer_length n_best_size num_features close shuffle FeatureWriter read_squad_examples write_predictions match group isinstance PY3 PY2 isinstance PY3 PY2 OrderedDict append strip split category category startswith category ord print join append zip enumerate list confusion_matrix set dict deal_with_x get_entity array zip append keys split entity_label2id add_argument result deal_with_multi_task ArgumentParser sketch_label2id parse_args token analysis range index len seed join shuffle tqdm get_entity_labeling append sdev random test strain label generate_multi_task_data join write close output_dir open range len list write_tokens extend output_dir range entity_label split segment_ids label_ids create_int_feature reference_label_ids TFRecordWriter write SerializeToString OrderedDict Example input_mask info input_ids enumerate convert_single_example Dense crf_log_likelihood reduce_mean one_hot reshape reduce_sum cast softmax argmax softmax_cross_entropy crf_decode reduce_sum hidden2tag crf_loss softmax exists get_class_labels filed_based_convert_examples_to_features enumerate remove get_entity_labels list print map tqdm json_dump json_load list sorted readlines tqdm get_next zip append json_dump json_load show sorted print zip keys json_load enumerate sorted json_dump append range len sorted json_dump append range enumerate len tqdm add set append enumerate split int list print min shuffle sample tqdm append array range enumerate len shuffle generate_line_numbers train_predict lines select get_data train_full train_new get_new_train_file merge sort listdir extend tqdm list zeros_like print tolist len tqdm array enumerate output_file_name dict get_dict_file dict tsv join product tqdm split append enumerate timestep output get_pointer_data append len range enumerate str join print index append range len append join str print sort len index match startswith split append range enumerate count split index dict get_type_pattern check_pattern startswith append range json_load len startswith split join get_relation index upper get_type_pattern append enumerate join str score sort print len append enumerate split startswith index join sort index loss2others todo1to3_multichoice remove_pointer todo1to3_aggregation cover2todo13 remove_pair todo1to3 todo1to3_singlerelation todo1to3_superlative0 len all loss_score filter_error index get_cover_prob str sorted add upper set range enumerate len append zip print tqdm get_type_pattern check_pattern get_pattern json_dump json_load | zechagl/NLPCC2019-Semantic-Parsing | 4,279 |
zehuichen123/3DFuture_ins_seg | ['instance segmentation', 'semantic segmentation'] | ['Towards Fine-grained Large Object Segmentation 1st Place Solution to 3D AI Challenge 2020 -- Instance Segmentation Track'] | mmdet_furniture/mmdet/core/bbox/samplers/__init__.py mmdet_furniture/configs/rpn_r50_fpn_1x.py mmdet_furniture/configs/foveabox/fovea_align_gn_ms_r50_fpn_4gpu_2x.py mmdet_furniture/configs/fcos/fcos_mstrain_640_800_r101_caffe_fpn_gn_2x_4gpu.py mmdet_furniture/mmdet/models/backbones/resnext.py mmdet_furniture/mmdet/models/detectors/reppoints_detector.py mmdet_furniture/mmdet/core/bbox/assigners/__init__.py mmdet_furniture/mmdet/models/point_rend/point_head.py mmdet_furniture/mmdet/models/anchor_heads/retina_head.py mmdet_furniture/mmdet/core/bbox/samplers/random_sampler.py mmdet_furniture/mmdet/core/bbox/__init__.py mmdet_furniture/configs/carafe/faster_rcnn_r50_fpn_carafe_1x.py mmdet_furniture/mmdet/core/optimizer/builder.py mmdet_furniture/mmdet/models/detectors/retinanet.py mmdet_furniture/configs/dcn/cascade_rcnn_dconv_c3-c5_r50_fpn_1x.py mmdet_furniture/tools/publish_model.py mmdet_furniture/furniture_config/pointrend/pointrend_x101_64x4d_dcn_fpnbfp_fp16_p2p6_lr001.py mmdet_furniture/mmdet/ops/context_block.py mmdet_furniture/configs/atss/atss_r50_fpn_1x.py mmdet_furniture/configs/reppoints/reppoints_moment_r50_fpn_2x_mt.py mmdet_furniture/configs/cityscapes/mask_rcnn_r50_fpn_1x_cityscapes.py mmdet_furniture/mmdet/models/shared_heads/__init__.py mmdet_furniture/mmdet/models/detectors/single_stage_ins.py mmdet_furniture/configs/fp16/retinanet_r50_fpn_fp16_1x.py mmdet_furniture/configs/dcn/cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x.py mmdet_furniture/mmdet/models/registry.py mmdet_furniture/mmdet/datasets/loader/build_loader.py mmdet_furniture/tests/test_forward.py mmdet_furniture/configs/reppoints/reppoints_moment_x101_dcn_fpn_2x_mt.py mmdet_furniture/demo/webcam_demo.py mmdet_furniture/configs/fast_rcnn_r50_caffe_c4_1x.py mmdet_furniture/mmdet/core/mask/mask_target.py mmdet_furniture/mmdet/ops/sepc_dconv.py mmdet_furniture/mmdet/ops/roi_align/gradcheck.py mmdet_furniture/mmdet/core/anchor/anchor_generator.py mmdet_furniture/configs/nas_fpn/retinanet_crop640_r50_fpn_50e.py mmdet_furniture/mmdet/__init__.py mmdet_furniture/configs/libra_rcnn/libra_fast_rcnn_r50_fpn_1x.py mmdet_furniture/mmdet/models/backbones/hrnet.py mmdet_furniture/configs/reppoints/bbox_r50_grid_center_fpn_1x.py mmdet_furniture/mmdet/ops/roi_align/roi_align.py mmdet_furniture/mmdet/datasets/xml_style.py mmdet_furniture/mmdet/datasets/builder.py mmdet_furniture/configs/htc/htc_r50_fpn_1x.py mmdet_furniture/mmdet/datasets/__init__.py mmdet_furniture/mmdet/models/__init__.py mmdet_furniture/mmdet/models/losses/mse_loss.py code_furniture/plot_result.py mmdet_furniture/mmdet/models/anchor_heads/rpn_head.py mmdet_furniture/mmdet/version.py mmdet_furniture/configs/ssd512_coco.py mmdet_furniture/configs/nas_fpn/retinanet_crop640_r50_nasfpn_50e.py mmdet_furniture/configs/retinanet_r101_fpn_1x.py mmdet_furniture/mmdet/ops/nms/nms_wrapper.py mmdet_furniture/mmdet/models/losses/focal_loss.py mmdet_furniture/mmdet/models/losses/ghm_loss.py mmdet_furniture/configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_1x.py mmdet_furniture/mmdet/core/fp16/utils.py mmdet_furniture/mmdet/apis/inference.py mmdet_furniture/configs/hrnet/mask_rcnn_hrnetv2p_w18_1x.py mmdet_furniture/configs/reppoints/reppoints_moment_r50_no_gn_fpn_1x.py mmdet_furniture/configs/scratch/scratch_mask_rcnn_r50_fpn_gn_6x.py mmdet_furniture/configs/free_anchor/retinanet_free_anchor_x101-32x4d_fpn_1x.py mmdet_furniture/mmdet/ops/conv_ws.py mmdet_furniture/mmdet/models/detectors/fcos.py mmdet_furniture/setup.py mmdet_furniture/mmdet/models/losses/smooth_l1_loss.py mmdet_furniture/mmdet/models/detectors/solo.py mmdet_furniture/configs/cityscapes/faster_rcnn_r50_fpn_1x_cityscapes.py mmdet_furniture/configs/gn+ws/mask_rcnn_x101_32x4d_fpn_gn_ws_2x.py mmdet_furniture/mmdet/models/detectors/fovea.py mmdet_furniture/mmdet/models/mask_heads/htc_mask_head.py mmdet_furniture/configs/hrnet/cascade_mask_rcnn_hrnetv2p_w32_20e.py mmdet_furniture/mmdet/models/anchor_heads/solov2_head.py mmdet_furniture/mmdet/ops/dcn/__init__.py mmdet_furniture/mmdet/utils/__init__.py mmdet_furniture/configs/ssd300_coco.py mmdet_furniture/configs/grid_rcnn/grid_rcnn_gn_head_x101_32x4d_fpn_2x.py mmdet_furniture/mmdet/models/losses/cross_entropy_loss.py mmdet_furniture/mmdet/models/bbox_heads/__init__.py mmdet_furniture/configs/carafe/mask_rcnn_r50_fpn_carafe_1x.py mmdet_furniture/mmdet/core/optimizer/registry.py mmdet_furniture/tools/coco_error_analysis.py mmdet_furniture/mmdet/models/losses/accuracy.py mmdet_furniture/mmdet/core/anchor/point_target.py mmdet_furniture/mmdet/datasets/custom.py mmdet_furniture/configs/libra_rcnn/libra_faster_rcnn_r50_fpn_1x.py mmdet_furniture/mmdet/ops/grid_sampler/grid_sampler.py mmdet_furniture/mmdet/utils/logger.py mmdet_furniture/mmdet/models/detectors/atss.py mmdet_furniture/configs/rpn_r101_fpn_1x.py mmdet_furniture/tools/test.py mmdet_furniture/configs/gn+ws/faster_rcnn_r50_fpn_gn_ws_1x.py mmdet_furniture/configs/wider_face/ssd300_wider_face.py mmdet_furniture/configs/retinanet_x101_64x4d_fpn_1x.py mmdet_furniture/configs/cascade_mask_rcnn_r50_caffe_c4_1x.py mmdet_furniture/mmdet/models/anchor_heads/reppoints_head.py mmdet_furniture/configs/dcn/mask_rcnn_dconv_c3-c5_r50_fpn_1x.py mmdet_furniture/mmdet/models/necks/pafpn.py mmdet_furniture/mmdet/models/anchor_heads/atss_head.py mmdet_furniture/configs/reppoints/reppoints_moment_r50_fpn_1x.py mmdet_furniture/mmdet/ops/non_local.py mmdet_furniture/mmdet/ops/saconv.py mmdet_furniture/configs/dcn/faster_rcnn_dpool_r50_fpn_1x.py mmdet_furniture/mmdet/models/anchor_heads/ga_retina_head.py mmdet_furniture/configs/scratch/scratch_faster_rcnn_r50_fpn_gn_6x.py mmdet_furniture/mmdet/models/point_rend/coarse_mask_head.py mmdet_furniture/mmdet/models/anchor_heads/fovea_head.py mmdet_furniture/configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x.py mmdet_furniture/mmdet/core/bbox/assigners/max_iou_assigner.py mmdet_furniture/mmdet/core/bbox/assigners/point_assigner.py mmdet_furniture/mmdet/ops/dcn/deform_pool.py mmdet_furniture/mmdet/core/__init__.py mmdet_furniture/mmdet/models/detectors/single_stage.py mmdet_furniture/configs/reppoints/reppoints_moment_r101_dcn_fpn_2x_mt.py mmdet_furniture/mmdet/models/mask_heads/fcn_mask_head.py mmdet_furniture/mmdet/models/bbox_heads/bbox_head.py mmdet_furniture/mmdet/core/anchor/anchor_target.py mmdet_furniture/configs/reppoints/reppoints_moment_r101_fpn_2x_mt.py mmdet_furniture/mmdet/apis/__init__.py mmdet_furniture/configs/faster_rcnn_r50_caffe_c4_1x.py mmdet_furniture/tests/test_config.py mmdet_furniture/configs/faster_rcnn_r101_fpn_1x.py mmdet_furniture/mmdet/models/roi_extractors/single_level.py mmdet_furniture/configs/retinanet_x101_32x4d_fpn_1x.py mmdet_furniture/tests/test_heads.py mmdet_furniture/mmdet/core/bbox/samplers/instance_balanced_pos_sampler.py mmdet_furniture/mmdet/apis/test.py mmdet_furniture/configs/retinanet_r50_fpn_1x.py mmdet_furniture/configs/dcn/faster_rcnn_mdconv_c3-c5_r50_fpn_1x.py mmdet_furniture/mmdet/core/evaluation/bbox_overlaps.py mmdet_furniture/mmdet/ops/roi_pool/roi_pool.py mmdet_furniture/configs/instaboost/mask_rcnn_r50_fpn_instaboost_4x.py mmdet_furniture/mmdet/models/utils/weight_init.py mmdet_furniture/mmdet/ops/generalized_attention.py mmdet_furniture/configs/cascade_rcnn_x101_32x4d_fpn_1x.py mmdet_furniture/mmdet/models/backbones/ssd_vgg.py mmdet_furniture/tools/submit_test.py mmdet_furniture/tests/test_assigner.py mmdet_furniture/mmdet/ops/nms/__init__.py mmdet_furniture/configs/pascal_voc/ssd512_voc.py mmdet_furniture/mmdet/models/detectors/htc.py mmdet_furniture/mmdet/models/detectors/mask_scoring_rcnn.py mmdet_furniture/configs/guided_anchoring/ga_faster_x101_32x4d_fpn_1x.py mmdet_furniture/mmdet/models/mask_heads/grid_head.py mmdet_furniture/mmdet/datasets/wider_face.py mmdet_furniture/mmdet/models/detectors/faster_rcnn.py mmdet_furniture/mmdet/core/bbox/samplers/iou_balanced_neg_sampler.py mmdet_furniture/configs/dcn/faster_rcnn_mdconv_c3-c5_group4_r50_fpn_1x.py mmdet_furniture/mmdet/core/anchor/point_generator.py mmdet_furniture/tools/detectron2pytorch.py mmdet_furniture/mmdet/models/utils/__init__.py mmdet_furniture/mmdet/models/necks/nas_fpn.py mmdet_furniture/tools/convert_datasets/pascal_voc.py mmdet_furniture/configs/free_anchor/retinanet_free_anchor_r50_fpn_1x.py mmdet_furniture/mmdet/models/detectors/test_mixins.py mmdet_furniture/mmdet/models/point_rend/roi_heads.py mmdet_furniture/furniture_config/pointrend/pointrend_x101_64x4d_dcn_fpn_fp16_p2p6.py mmdet_furniture/configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x.py mmdet_furniture/mmdet/ops/conv_module.py mmdet_furniture/mmdet/datasets/pipelines/transforms.py mmdet_furniture/configs/mask_rcnn_r101_fpn_1x.py mmdet_furniture/configs/dcn/faster_rcnn_dconv_c3-c5_r50_fpn_1x.py mmdet_furniture/configs/gn+ws/mask_rcnn_r50_fpn_gn_ws_2x.py mmdet_furniture/mmdet/apis/train.py mmdet_furniture/mmdet/ops/norm.py mmdet_furniture/configs/guided_anchoring/ga_retinanet_r101_caffe_fpn_mstrain_2x.py mmdet_furniture/mmdet/models/losses/utils.py mmdet_furniture/mmdet/models/shared_heads/res_layer.py mmdet_furniture/configs/guided_anchoring/ga_faster_r50_caffe_fpn_1x.py mmdet_furniture/configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_dcn_1x.py mmdet_furniture/tests/test_nms.py mmdet_furniture/mmdet/datasets/loader/sampler.py mmdet_furniture/configs/faster_rcnn_x101_32x4d_fpn_1x.py mmdet_furniture/configs/cascade_mask_rcnn_r101_fpn_1x.py mmdet_furniture/mmdet/ops/carafe/carafe.py mmdet_furniture/mmdet/ops/roi_align/__init__.py mmdet_furniture/configs/dcn/faster_rcnn_dconv_c3-c5_x101_32x4d_fpn_1x.py mmdet_furniture/configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_dcn_1x.py mmdet_furniture/configs/hrnet/fcos_hrnetv2p_w32_gn_1x_4gpu.py mmdet_furniture/configs/guided_anchoring/ga_rpn_r101_caffe_rpn_1x.py mmdet_furniture/configs/guided_anchoring/ga_fast_r50_caffe_fpn_1x.py mmdet_furniture/mmdet/core/post_processing/matrix_nms.py mmdet_furniture/configs/cascade_rcnn_x101_64x4d_fpn_1x.py mmdet_furniture/configs/gcnet/mask_rcnn_r16_gcb_c3-c5_r50_fpn_syncbn_1x.py mmdet_furniture/configs/faster_rcnn_ohem_r50_fpn_1x.py mmdet_furniture/configs/fp16/faster_rcnn_r50_fpn_fp16_1x.py mmdet_furniture/configs/gcnet/mask_rcnn_r50_fpn_sbn_1x.py mmdet_furniture/mmdet/models/detectors/__init__.py mmdet_furniture/configs/rpn_x101_64x4d_fpn_1x.py mmdet_furniture/configs/mask_rcnn_x101_32x4d_fpn_1x.py mmdet_furniture/mmdet/ops/__init__.py mmdet_furniture/mmdet/ops/sigmoid_focal_loss/sigmoid_focal_loss.py mmdet_furniture/mmdet/models/point_rend/point_features.py mmdet_furniture/mmdet/models/bbox_heads/double_bbox_head.py mmdet_furniture/mmdet/models/anchor_heads/__init__.py mmdet_furniture/mmdet/core/post_processing/bbox_setnms.py mmdet_furniture/mmdet/ops/sigmoid_focal_loss/__init__.py mmdet_furniture/configs/foveabox/fovea_align_gn_r101_fpn_4gpu_2x.py mmdet_furniture/configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x.py mmdet_furniture/configs/mask_rcnn_x101_64x4d_fpn_1x.py mmdet_furniture/mmdet/utils/collect_env.py mmdet_furniture/configs/fp16/mask_rcnn_r50_fpn_fp16_1x.py mmdet_furniture/mmdet/models/detectors/fast_rcnn.py mmdet_furniture/mmdet/core/bbox/bbox_target.py mmdet_furniture/mmdet/core/bbox/samplers/combined_sampler.py mmdet_furniture/tools/test_robustness.py mmdet_furniture/mmdet/core/mask/__init__.py mmdet_furniture/mmdet/core/mask/utils.py mmdet_furniture/mmdet/core/fp16/__init__.py mmdet_furniture/mmdet/ops/activation.py mmdet_furniture/mmdet/models/losses/__init__.py mmdet_furniture/mmdet/models/necks/fpn_carafe.py mmdet_furniture/mmdet/models/mask_heads/maskiou_head.py mmdet_furniture/mmdet/ops/carafe/grad_check.py mmdet_furniture/tools/browse_dataset.py mmdet_furniture/configs/cascade_mask_rcnn_x101_64x4d_fpn_1x.py mmdet_furniture/mmdet/models/anchor_heads/anchor_head.py mmdet_furniture/mmdet/core/post_processing/__init__.py mmdet_furniture/configs/hrnet/faster_rcnn_hrnetv2p_w32_1x.py mmdet_furniture/mmdet/ops/carafe/setup.py mmdet_furniture/mmdet/ops/dcn/deform_conv.py mmdet_furniture/configs/foveabox/fovea_align_gn_ms_r101_fpn_4gpu_2x.py mmdet_furniture/configs/foveabox/fovea_r50_fpn_4gpu_1x.py mmdet_furniture/mmdet/utils/profiling.py mmdet_furniture/configs/cascade_mask_rcnn_r50_fpn_1x.py mmdet_furniture/configs/htc/htc_x101_64x4d_fpn_20e_16gpu.py mmdet_furniture/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x.py mmdet_furniture/configs/ghm/retinanet_ghm_r50_fpn_1x.py mmdet_furniture/mmdet/models/backbones/__init__.py mmdet_furniture/configs/fast_mask_rcnn_r50_caffe_c4_1x.py mmdet_furniture/mmdet/utils/flops_counter.py mmdet_furniture/configs/fast_mask_rcnn_r50_fpn_1x.py mmdet_furniture/configs/fast_mask_rcnn_r101_fpn_1x.py code_furniture/nms.py mmdet_furniture/mmdet/models/anchor_heads/ssd_head.py mmdet_furniture/configs/cascade_rcnn_r101_fpn_1x.py mmdet_furniture/configs/cascade_rcnn_r50_caffe_c4_1x.py mmdet_furniture/mmdet/core/evaluation/recall.py mmdet_furniture/mmdet/core/utils/dist_utils.py mmdet_furniture/mmdet/datasets/cityscapes.py mmdet_furniture/mmdet/ops/masked_conv/masked_conv.py mmdet_furniture/mmdet/datasets/future_dataset.py mmdet_furniture/mmdet/core/bbox/transforms.py mmdet_furniture/tools/fuse_conv_bn.py mmdet_furniture/mmdet/models/detectors/double_head_rcnn.py mmdet_furniture/mmdet/core/bbox/assigners/atss_assigner.py mmdet_furniture/configs/pascal_voc/ssd300_voc.py mmdet_furniture/configs/gn/mask_rcnn_r50_fpn_gn_2x.py mmdet_furniture/configs/fcos/fcos_r50_caffe_fpn_gn_1x_4gpu.py mmdet_furniture/mmdet/models/necks/fpn.py mmdet_furniture/mmdet/ops/roi_pool/gradcheck.py mmdet_furniture/mmdet/core/optimizer/__init__.py mmdet_furniture/tools/robustness_eval.py mmdet_furniture/furniture_config/pointrend/pointrend_res2net101_dcn_fpnbfp2repeat_p2p6_fp16_enrichfeat_largeboxalign.py mmdet_furniture/configs/faster_rcnn_r50_fpn_1x.py mmdet_furniture/mmdet/core/evaluation/eval_hooks.py mmdet_furniture/configs/fcos/fcos_mstrain_640_800_x101_64x4d_fpn_gn_2x.py mmdet_furniture/configs/albu_example/mask_rcnn_r50_fpn_1x.py mmdet_furniture/mmdet/core/fp16/hooks.py mmdet_furniture/mmdet/datasets/pipelines/__init__.py mmdet_furniture/mmdet/models/detectors/rfp.py mmdet_furniture/mmdet/ops/upsample.py mmdet_furniture/configs/gcnet/mask_rcnn_r16_gcb_c3-c5_r50_fpn_1x.py mmdet_furniture/mmdet/datasets/pipelines/instaboost.py mmdet_furniture/mmdet/core/anchor/guided_anchor_target.py mmdet_furniture/mmdet/models/losses/iou_loss.py code_furniture/group_ensemble.py mmdet_furniture/mmdet/core/post_processing/bbox_nms.py mmdet_furniture/configs/fcos/fcos_center_r50_caffe_fpn_gn_1x_4gpu.py.py mmdet_furniture/mmdet/ops/conv.py mmdet_furniture/configs/htc/htc_without_semantic_r50_fpn_1x.py mmdet_furniture/mmdet/models/mask_heads/__init__.py mmdet_furniture/mmdet/models/bbox_heads/convfc_bbox_head.py mmdet_furniture/mmdet/models/roi_extractors/__init__.py mmdet_furniture/mmdet/models/anchor_heads/guided_anchor_head.py mmdet_furniture/mmdet/datasets/coco.py mmdet_furniture/mmdet/datasets/pipelines/test_aug.py mmdet_furniture/configs/dcn/mask_rcnn_mdconv_c3-c5_r50_fpn_1x.py mmdet_furniture/mmdet/ops/affine_grid/affine_grid.py mmdet_furniture/configs/rpn_x101_32x4d_fpn_1x.py mmdet_furniture/configs/foveabox/fovea_align_gn_r50_fpn_4gpu_2x.py mmdet_furniture/configs/gn/mask_rcnn_r101_fpn_gn_2x.py mmdet_furniture/mmdet/models/backbones/res2net.py mmdet_furniture/mmdet/core/utils/misc.py mmdet_furniture/mmdet/ops/utils/__init__.py mmdet_furniture/tools/convert_datasets/cityscapes.py mmdet_furniture/configs/htc/htc_r50_fpn_20e.py mmdet_furniture/configs/fast_rcnn_r50_fpn_1x.py mmdet_furniture/mmdet/core/optimizer/copy_of_sgd.py mmdet_furniture/configs/cascade_rcnn_r50_fpn_1x.py mmdet_furniture/configs/pascal_voc/faster_rcnn_r50_fpn_1x_voc0712.py mmdet_furniture/mmdet/models/detectors/cascade_rcnn.py code_furniture/size_distribution.py mmdet_furniture/tools/get_flops.py mmdet_furniture/mmdet/ops/masked_conv/__init__.py mmdet_furniture/mmdet/core/bbox/samplers/base_sampler.py mmdet_furniture/mmdet/datasets/voc.py mmdet_furniture/mmdet/models/backbones/resnet.py mmdet_furniture/configs/mask_rcnn_r50_fpn_1x.py mmdet_furniture/configs/htc/htc_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e.py mmdet_furniture/configs/reppoints/reppoints_partial_minmax_r50_fpn_1x.py mmdet_furniture/tests/test_utils.py mmdet_furniture/configs/gn/mask_rcnn_r50_fpn_gn_contrib_2x.py mmdet_furniture/tests/test_soft_nms.py mmdet_furniture/configs/reppoints/bbox_r50_grid_fpn_1x.py mmdet_furniture/furniture_config/pointrend/pointrend_x101_64x4d_dcn_fpnbfp_fp16_p2p6_enrichfeat.py mmdet_furniture/configs/instaboost/ssd300_coco_instaboost_4x.py mmdet_furniture/mmdet/models/necks/hrfpn.py mmdet_furniture/configs/mask_rcnn_r50_caffe_c4_1x.py mmdet_furniture/configs/cascade_mask_rcnn_x101_32x4d_fpn_1x.py mmdet_furniture/configs/htc/htc_x101_32x4d_fpn_20e_16gpu.py mmdet_furniture/mmdet/datasets/pipelines/loading.py mmdet_furniture/mmdet/ops/roi_pool/__init__.py mmdet_furniture/mmdet/models/detectors/base.py mmdet_furniture/mmdet/models/losses/balanced_l1_loss.py mmdet_furniture/configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x.py mmdet_furniture/configs/guided_anchoring/ga_rpn_r50_caffe_fpn_1x.py mmdet_furniture/mmdet/datasets/loader/__init__.py mmdet_furniture/mmdet/datasets/registry.py mmdet_furniture/configs/reppoints/reppoints_moment_x101_dcn_fpn_2x.py mmdet_furniture/mmdet/core/post_processing/merge_augs.py mmdet_furniture/configs/libra_rcnn/libra_faster_rcnn_x101_64x4d_fpn_1x.py mmdet_furniture/configs/fast_rcnn_r101_fpn_1x.py mmdet_furniture/mmdet/core/evaluation/class_names.py mmdet_furniture/mmdet/ops/carafe/__init__.py mmdet_furniture/configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x.py mmdet_furniture/mmdet/models/builder.py mmdet_furniture/configs/libra_rcnn/libra_faster_rcnn_r101_fpn_1x.py mmdet_furniture/mmdet/ops/affine_grid/__init__.py mmdet_furniture/mmdet/core/bbox/demodata.py mmdet_furniture/mmdet/core/anchor/__init__.py mmdet_furniture/tests/async_benchmark.py mmdet_furniture/configs/gn+ws/mask_rcnn_r50_fpn_gn_ws_20_23_24e.py mmdet_furniture/mmdet/models/anchor_heads/free_anchor_retina_head.py mmdet_furniture/tools/analyze_logs.py mmdet_furniture/tools/upgrade_model_version.py mmdet_furniture/mmdet/core/bbox/samplers/sampling_result.py mmdet_furniture/configs/gcnet/mask_rcnn_r4_gcb_c3-c5_r50_fpn_1x.py mmdet_furniture/configs/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x.py mmdet_furniture/mmdet/datasets/dataset_wrappers.py mmdet_furniture/mmdet/utils/contextmanagers.py mmdet_furniture/mmdet/models/point_rend/__init__.py mmdet_furniture/configs/hrnet/mask_rcnn_hrnetv2p_w32_1x.py code_furniture/parse_result.py mmdet_furniture/mmdet/models/anchor_heads/retina_sepbn_head.py mmdet_furniture/configs/instaboost/cascade_mask_rcnn_r50_fpn_instaboost_4x.py mmdet_furniture/mmdet/core/evaluation/mean_ap.py mmdet_furniture/configs/hrnet/cascade_rcnn_hrnetv2p_w32_20e.py mmdet_furniture/mmdet/models/detectors/htc_msscore.py mmdet_furniture/mmdet/ops/grid_sampler/__init__.py mmdet_furniture/mmdet/core/bbox/assigners/approx_max_iou_assigner.py mmdet_furniture/mmdet/utils/registry.py mmdet_furniture/mmdet/models/necks/__init__.py mmdet_furniture/configs/hrnet/htc_hrnetv2p_w32_20e.py mmdet_furniture/mmdet/models/mask_heads/fused_semantic_head.py mmdet_furniture/configs/double_heads/dh_faster_rcnn_r50_fpn_1x.py mmdet_furniture/mmdet/datasets/pipelines/formating.py mmdet_furniture/mmdet/core/bbox/geometry.py mmdet_furniture/mmdet/core/bbox/samplers/ohem_sampler.py mmdet_furniture/mmdet/models/detectors/two_stage.py mmdet_furniture/furniture_config/pointrend/pointrend_res2net101_dcn_fpnbfp_fp16_p2p6_enrichfeat.py mmdet_furniture/mmdet/core/bbox/assign_sampling.py mmdet_furniture/configs/htc/htc_without_semantic_101_fpn_1x.py mmdet_furniture/configs/htc/htc_r101_fpn_20e.py mmdet_furniture/mmdet/models/detectors/rpn.py mmdet_furniture/configs/reppoints/reppoints_minmax_r50_fpn_1x.py mmdet_furniture/mmdet/core/evaluation/__init__.py mmdet_furniture/tests/test_sampler.py mmdet_furniture/configs/free_anchor/retinanet_free_anchor_r101_fpn_1x.py mmdet_furniture/configs/hrnet/faster_rcnn_hrnetv2p_w40_1x.py mmdet_furniture/configs/grid_rcnn/grid_rcnn_gn_head_r50_fpn_2x.py mmdet_furniture/configs/reppoints/reppoints_moment_r50_fpn_2x.py mmdet_furniture/configs/reppoints/reppoints_moment_r101_dcn_fpn_2x.py mmdet_furniture/configs/reppoints/reppoints_moment_r101_fpn_2x.py mmdet_furniture/mmdet/core/bbox/assigners/assign_result.py mmdet_furniture/mmdet/core/bbox/assigners/base_assigner.py mmdet_furniture/tools/parse_prediction_seg.py mmdet_furniture/mmdet/datasets/pipelines/compose.py mmdet_furniture/docs/conf.py mmdet_furniture/tests/test_async.py mmdet_furniture/configs/guided_anchoring/ga_retinanet_x101_32x4d_fpn_1x.py code_furniture/cython_nms/setup.py mmdet_furniture/mmdet/ops/scale.py mmdet_furniture/configs/dcn/faster_rcnn_mdpool_r50_fpn_1x.py mmdet_furniture/configs/gcnet/mask_rcnn_r4_gcb_c3-c5_r50_fpn_syncbn_1x.py mmdet_furniture/mmdet/models/detectors/grid_rcnn.py mmdet_furniture/mmdet/utils/util_mixins.py mmdet_furniture/configs/libra_rcnn/libra_retinanet_r50_fpn_1x.py mmdet_furniture/mmdet/models/anchor_heads/fcos_head.py mmdet_furniture/mmdet/core/fp16/decorators.py mmdet_furniture/mmdet/models/necks/bfp.py mmdet_furniture/mmdet/core/bbox/samplers/pseudo_sampler.py mmdet_furniture/mmdet/models/detectors/mask_rcnn.py mmdet_furniture/mmdet/models/anchor_heads/ga_rpn_head.py mmdet_furniture/configs/faster_rcnn_x101_64x4d_fpn_1x.py mmdet_furniture/tools/pytorch2onnx.py mmdet_furniture/mmdet/models/detectors/point_rend.py mmdet_furniture/configs/rpn_r50_caffe_c4_1x.py mmdet_furniture/mmdet/core/utils/__init__.py mmdet_furniture/tools/train.py nms_per_img group_results generate_reweight_list generate_model_type_list ensemble_group_det check_valid_ensemble_list nms py_matrix_nms_wrapper cpu_nms_wrapper cython_soft_nms_wrapper py_nms_wrapper matrix_nms parse_pred_2_json decode_mask parse_img apply_mask parse_args draw_mask draw_bbox compute_area find_in_path customize_compiler_for_nvcc custom_build_ext locate_cuda make_cuda_ext write_version_py readme get_version parse_requirements get_git_hash get_hash main parse_args inference_detector show_result_pyplot LoadImage init_detector show_result multi_gpu_test collect_results_cpu collect_results_gpu single_gpu_test _dist_train set_random_seed batch_processor _non_dist_train train_detector parse_losses AnchorGenerator anchor_target unmap anchor_inside_flags images_to_levels anchor_target_single ga_loc_target ga_shape_target_single calc_region images_to_levels ga_shape_target PointGenerator images_to_levels point_target unmap point_target_single assign_and_sample build_assigner build_sampler bbox_target_single expand_target bbox_target ensure_rng random_boxes bbox_overlaps delta2bbox roi2bbox bbox_flip distance2bbox bbox2delta bbox_mapping bbox2result bbox_mapping_back bbox2roi ApproxMaxIoUAssigner AssignResult ATSSAssigner BaseAssigner MaxIoUAssigner PointAssigner BaseSampler CombinedSampler InstanceBalancedPosSampler IoUBalancedNegSampler OHEMSampler PseudoSampler RandomSampler SamplingResult bbox_overlaps get_classes imagenet_vid_classes voc_classes imagenet_det_classes coco_classes cityscapes_classes wider_face_classes DistEvalHook EvalHook eval_map tpfp_imagenet print_map_summary average_precision get_cls_results tpfp_default plot_iou_recall set_recall_param print_recall_summary _recalls eval_recalls plot_num_recall force_fp32 auto_fp16 Fp16OptimizerHook wrap_fp16_model patch_forward_method patch_norm_fp32 cast_tensor_type mask_target mask_target_single split_combined_polys build_optimizer CopyOfSGD register_torch_optimizers multiclass_nms set_nms set_nms_wrapper multiclass_nms matrix_nms merge_aug_scores merge_aug_masks merge_aug_bboxes merge_aug_proposals DistOptimizerHook allreduce_grads _allreduce_coalesced unmap tensor2imgs multi_apply build_dataset _concat_dataset CityscapesDataset CocoDataset CustomDataset RepeatDataset ConcatDataset FutureDataset VOCDataset WIDERFaceDataset XMLDataset build_dataloader worker_init_fn GroupSampler DistributedSampler DistributedGroupSampler Compose DefaultFormatBundle Transpose ToTensor Collect WrapFieldsToLists to_tensor ImageToTensor ToDataContainer InstaBoost LoadImageFromFile LoadMultiChannelImageFromFiles LoadProposals LoadAnnotations MultiScaleFlipAug RandomFlip Pad Corrupt PhotoMetricDistortion MinIoURandomCrop SegRescale Resize RandomCrop Albu Normalize Expand build_shared_head build_detector build_loss build build_backbone build_roi_extractor build_head build_neck AnchorHead reduce_mean ATSSHead FCOSHead FeatureAlign FoveaHead FreeAnchorRetinaHead GARetinaHead GARPNHead FeatureAdaption GuidedAnchorHead RepPointsHead RetinaHead RetinaSepBNHead RPNHead points_nms dice_loss SOLOV2Head SSDHead HRModule BasicBlockPlugins HRNet Res2Net make_res_layer Bottle2neck ResNet BasicBlock make_res_layer Bottleneck ResNeXt make_res_layer Bottleneck SSDVGG L2Norm BBoxHead SharedFCBBoxHead ConvFCBBoxHead DoubleConvFCBBoxHead BasicResBlock ATSS BaseDetector CascadeRCNN DoubleHeadRCNN FasterRCNN FastRCNN FCOS FOVEA GridRCNN HybridTaskCascade HybridTaskScoringCascadeRoIHead MaskRCNN MaskScoringRCNN PointRendMaskRcnn RepPointsDetector RetinaNet RecursiveFeaturePyramid RecursiveFeaturePyramidMSScoring ASPP RPN SingleStageDetector SingleStageInsDetector SOLO MaskTestMixin BBoxTestMixin RPNTestMixin TwoStageDetector Accuracy accuracy BalancedL1Loss balanced_l1_loss binary_cross_entropy mask_cross_entropy _expand_binary_labels CrossEntropyLoss cross_entropy sigmoid_focal_loss py_sigmoid_focal_loss FocalLoss _expand_binary_labels GHMR GHMC bounded_iou_loss iou_loss IoULoss BoundedIoULoss GIoULoss giou_loss mse_loss MSELoss smooth_l1_loss SmoothL1Loss weight_reduce_loss weighted_loss reduce_loss FCNMaskHead FusedSemanticHead GridHead HTCMaskHead MaskIoUHead BFP FPN FPN_CARAFE HRFPN NASFPN SumCell GPCell MergingCell PAFPN CoarseMaskHead get_uncertain_point_coords_on_grid point_sample get_point_coords_wrt_image point_sample_fine_grained_features generate_regular_grid_point_coords get_uncertain_point_coords_with_randomness StandardPointHead PointRendROIHeads calculate_uncertainty SingleRoIExtractor ResLayer bias_init_with_prob build_activation_layer last_zero_init ContextBlock build_conv_layer ConvModule ConvAWS2d conv_ws_2d ConvWS2d GeneralizedAttention NonLocal2D AllReduce _NewEmptyTensorOp get_world_size build_norm_layer NaiveSyncBatchNorm BatchNorm2d SAConv2d Scale sepc_conv build_upsample_layer PixelShufflePack affine_grid _AffineGridGenerator CARAFEPack CARAFENaive CARAFENaiveFunction CARAFE CARAFEFunction DeformConvFunction ModulatedDeformConv DeformConvPack ModulatedDeformConvPack DeformConv ModulatedDeformConvFunction DeformRoIPoolingPack DeformRoIPoolingFunction ModulatedDeformRoIPoolingPack DeformRoIPooling _GridSampler grid_sample MaskedConv2dFunction MaskedConv2d nms soft_nms RoIAlign RoIAlignFunction RoIPool RoIPoolFunction SigmoidFocalLoss SigmoidFocalLossFunction collect_env add_flops_counting_methods add_flops_counter_hook_function bn_flops_counter_hook reset_flops_count gn_flops_counter_hook relu_flops_counter_hook deconv_flops_counter_hook get_model_parameters_number add_flops_mask flops_to_string params_to_string remove_flops_mask remove_batch_counter_hook_function start_flops_count add_batch_counter_variables_or_reset pool_flops_counter_hook empty_flops_counter_hook add_flops_mask_variable_or_reset add_batch_counter_hook_function get_model_complexity_info conv_flops_counter_hook remove_flops_counter_hook_function batch_counter_hook add_flops_counter_variable_or_reset is_supported_instance stop_flops_count upsample_flops_counter_hook linear_flops_counter_hook compute_average_flops_cost print_model_with_flops print_log get_root_logger profile_time build_from_cfg Registry NiceRepr test_approx_iou_assigner_with_empty_boxes test_point_assigner test_max_iou_assigner test_approx_iou_assigner_with_empty_gt test_point_assigner_with_empty_gt test_random_assign_result test_approx_iou_assigner test_point_assigner_with_empty_boxes_and_gt test_max_iou_assigner_with_empty_boxes_and_gt test_max_iou_assigner_with_empty_boxes test_max_iou_assigner_with_empty_gt test_max_iou_assigner_with_ignore test_approx_iou_assigner_with_empty_boxes_and_gt test_max_iou_assigner_with_empty_boxes_and_ignore MaskRCNNDetector AsyncTestCase AsyncInferenceTestCase test_config_build_detector _get_config_directory test_config_data_pipeline _get_config_directory _get_config_module test_cascade_forward test_faster_rcnn_forward _get_detector_cfg test_faster_rcnn_ohem_forward _demo_mm_inputs test_rpn_forward test_retina_ghm_forward test_ssd300_forward _demodata_refine_boxes test_anchor_head_loss test_bbox_head_loss test_refine_boxes test_nms_device_and_dtypes_cpu test_nms_device_and_dtypes_gpu test_random_sampler_empty_pred test_ohem_sampler _context_for_ohem test_ohem_sampler_empty_gt test_random_sampler_empty_gt test_random_sampler test_random_sample_result test_ohem_sampler_empty_pred test_soft_nms_device_and_dtypes_cpu test_params_to_string cal_train_time plot_curve load_json_logs main parse_args add_plot_parser add_time_parser main parse_args retrieve_data_cfg main analyze_results analyze_individual_category makeplot main convert convert_bn convert_conv_fc main fuse_module fuse_conv_bn parse_args main parse_args main parse_args process_checkpoint main parse_args export_onnx_model get_distortions_from_results print_coco_results get_distortions_from_file get_coco_style_results get_voc_style_results get_results main arg_parse pkl2json main parse_args MultipleKVAction voc_eval_with_return single_gpu_test collect_results coco_eval_with_return main multi_gpu_test parse_args main parse_args main convert collect_annotations cvt_annotations load_img_info main collect_files parse_args main cvt_annotations parse_xml parse_args append min max print print check_valid_ensemble_list append print append array range len nms py_matrix_nms_wrapper cython_soft_nms_wrapper py_nms_wrapper vstack append range append maximum minimum max T exp iou concatenate tolist min triu array len append range zip add_argument ArgumentParser decode range where apply_mask decode_mask list putText FONT_HERSHEY_SIMPLEX rectangle len draw_mask range len append len array choice pathsep pjoin exists split find_in_path items list pjoin pathsep dirname sep append _compile compiler_so decode _minimal_ext_cmd exists get_hash list gen_packages_items config VideoCapture camera_id read CLASSES print waitKey inference_detector init_detector parse_args show_result checkpoint get_classes isinstance model load_checkpoint warn eval build_detector fromfile to Compose cfg dict test_pipeline device seed int bool concat_list isinstance concatenate imshow_det_bboxes astype copy vstack imread bgr2rgb imshow show_result figure update show_result size ProgressBar eval append dataset range enumerate len update get_dist_info size ProgressBar eval collect_results_cpu collect_results_gpu append dataset range enumerate len rstrip tensor broadcast list get_dist_info mkdtemp encode append range dump format bytearray zip load join barrier extend rmtree mkdir_or_exist full list get_dist_info bytearray dumps extend tobytes shape loads all_gather zip append tensor max zeros seed manual_seed_all manual_seed items list isinstance clone get_world_size OrderedDict mean all_reduce item div_ Tensor sum dict parse_losses model log_level _non_dist_train get_root_logger _dist_train workflow MMDistributedDataParallel DistSamplerSeedHook cuda run total_epochs build_optimizer checkpoint_config work_dir build_dataset get val load_from DistEvalHook build_dataloader resume_from register_training_hooks resume optimizer DistOptimizerHook lr_config load_checkpoint register_hook dict Runner log_config Fp16OptimizerHook workflow cuda run total_epochs build_optimizer checkpoint_config work_dir build_dataset optimizer_config EvalHook get val load_from build_dataloader resume_from register_training_hooks resume optimizer lr_config load_checkpoint register_hook dict Runner log_config Fp16OptimizerHook MMDataParallel multi_apply images_to_levels any sum range cat len append stack squeeze assign_and_sample zeros_like PseudoSampler pos_gt_bboxes size pos_weight anchor_inside_flags unmap sample new_zeros build_assigner assign pos_inds bbox2delta allowed_border neg_inds pos_bboxes assigner uint8 type new_full clamp long new_full zeros_like calc_region size sqrt log2 floor full_like item append zeros float sum long range len multi_apply images_to_levels any append sum range cat len ga_assigner build_sampler ga_sampler PseudoSampler zeros_like reshape pos_gt_bboxes size unmap build_assigner assign pos_inds sample neg_inds pos_bboxes multi_apply images_to_levels any sum range cat len assign_and_sample zeros_like PseudoSampler pos_gt_bboxes size pos_weight unmap new_zeros build_assigner assign pos_inds sample neg_inds assigner BaseAssigner isinstance BaseSampler isinstance build_sampler sampler build_assigner assign sample assigner multi_apply cat bbox2delta size new_zeros squeeze new_zeros _rand RandomState isinstance minimum astype float32 maximum from_numpy ensure_rng clamp size min max stack unsqueeze div_ float log exp clamp size repeat expand_as view_as abs log addcmul Tensor ndarray isinstance clone bbox_flip new_full new_zeros append cat enumerate cpu append unique numpy clamp minimum T astype maximum float32 zeros range items list eval is_str arange ones hstack maximum zeros sum range minimum zeros_like concatenate argsort vstack zeros bbox_overlaps range enumerate len max zeros_like concatenate argsort vstack zeros argmax bbox_overlaps enumerate len append empty starmap cumsum tuple vstack Pool get_cls_results list print_map_summary append range eps mean item zip enumerate maximum argsort any average_precision zeros len get_classes ndarray format isinstance table len is_str print_log AsciiTable append zeros range enumerate sum sort hstack copy zeros float argmax fliplr range enumerate array isinstance min set_recall_param print_recall_summary _recalls array append zeros bbox_overlaps range len arange table insert size tolist print_log AsciiTable append array enumerate show ndarray plot isinstance xlabel tolist axis ylabel figure show ndarray plot isinstance xlabel tolist axis ylabel figure hasattr patch_norm_fp32 modules half children isinstance half patch_forward_method float forward ndarray isinstance Iterable Tensor Mapping list map cat mask_size imresize size astype maximum range new_zeros shape int32 device append to numpy clip _pair tolist append slice_list range len pop get named_modules hasattr replace endswith search copy named_parameters dict parameters append module dir getattr startswith register_module append optim pop sort size copy new_zeros expand nms_op getattr to max cat pop concatenate sort size copy new_zeros expand device to set_nms_wrapper append maximum minimum transpose expand float mm new_full append range nms nms_thr sort min clone max_num zip append bbox_mapping_back cat append mean bbox_mapping_back zip Tensor isinstance average mean array list _take_tensors _flatten_dense_tensors zip _unflatten_dense_tensors OrderedDict all_reduce copy_ div_ append type values all_reduce _allreduce_coalesced get_world_size div_ uint8 transpose size astype ascontiguousarray append array range list map get deepcopy isinstance append build_dataset range len get isinstance ConcatDataset _concat_dataset build_from_cfg RepeatDataset DistributedSampler get_dist_info DistributedGroupSampler DataLoader seed Tensor ndarray isinstance isinstance all_reduce clone get_world_size div_ max_pool2d float float sum view AvgPool2d block Sequential build_conv_layer append range expansion topk isinstance size t eq mul_ expand_as append sum max log abs e where float weight_reduce_loss new_full size squeeze expand size weight_reduce_loss binary_cross_entropy_with_logits _expand_binary_labels float squeeze arange type_as sigmoid pow weight_reduce_loss binary_cross_entropy_with_logits _sigmoid_focal_loss weight_reduce_loss view clamp view zeros_like size min where abs max clamp min max abs where get_enum sum reduce_loss squeeze unsqueeze grid_sample Size tensor affine_grid int arange view clamp rand point_sample uncertainty_func floor cat dtype float min shape zeros to isinstance transpose get_point_coords_wrt_image append tensor enumerate cat split unsqueeze clone float pop activation copy Sequential isinstance constant_init dict conv_layer pop copy size view pop str setdefault norm_layer copy parameters _specify_ddp_gpu_num pop upsample copy dim range ndarray isinstance new_zeros Tensor to numpy is_cuda ndarray isinstance from_numpy cpu Tensor show join str format defaultdict replace list items check_output strip get_compiler_version device_count __version__ get_compiling_cuda_version platform is_available range append flops_model get_model_parameters_number input_constructor stop_flops_count add_flops_counting_methods start_flops_count compute_average_flops_cost new_empty print_model_with_flops print compute_average_flops_cost apply sum __get__ reset_flops_count apply __batch_counter__ is_supported_instance modules add_batch_counter_hook_function apply remove_batch_counter_hook_function apply add_batch_counter_variables_or_reset apply apply apply type issubclass numel shape affine prod shape affine prod groups kernel_size out_channels in_channels list kernel_size out_channels groups in_channels expand sum prod print len register_forward_hook hasattr remove hasattr is_supported_instance items issubclass hasattr register_forward_hook type is_supported_instance remove is_supported_instance hasattr is_supported_instance setFormatter basicConfig get_dist_info getLogger addHandler Formatter setLevel hasHandlers FileHandler isinstance print get_root_logger Logger log record_event monotonic Event pop get list items setdefault copy is_str isclass FloatTensor assign LongTensor MaxIoUAssigner LongTensor FloatTensor assign MaxIoUAssigner Tensor FloatTensor assign LongTensor MaxIoUAssigner LongTensor FloatTensor assign MaxIoUAssigner empty LongTensor FloatTensor assign MaxIoUAssigner Tensor empty assign empty MaxIoUAssigner LongTensor assign PointAssigner FloatTensor LongTensor assign PointAssigner FloatTensor assign PointAssigner FloatTensor FloatTensor assign LongTensor ApproxMaxIoUAssigner FloatTensor assign LongTensor ApproxMaxIoUAssigner FloatTensor assign empty ApproxMaxIoUAssigner assign empty ApproxMaxIoUAssigner random int getenv join dirname join format _get_config_directory model print build_detector import_module_from_path train_cfg test_cfg len pop join get format _get_config_directory print Compose astype float32 import_module_from_path dict train_pipeline test_pipeline randint len join _get_config_directory import_module_from_path Config deepcopy model _get_config_module train_cfg test_cfg pop _get_detector_cfg _demo_mm_inputs build_detector forward pop _get_detector_cfg _demo_mm_inputs build_detector forward pop _get_detector_cfg _demo_mm_inputs build_detector is_available forward cuda pop _get_detector_cfg _demo_mm_inputs item build_detector float forward pop _get_detector_cfg _demo_mm_inputs item build_detector float forward pop _get_detector_cfg _demo_mm_inputs item build_detector float forward T RandomState LongTensor FloatTensor rand append randint range clip Config sum AnchorHead forward loss Config _dummy_bbox_sampling forward rand get_target BBoxHead sum loss format print BBoxHead refine_bboxes _demodata_refine_boxes int random_boxes group_items astype from_numpy ensure_rng numpy randint empty long cat nms FloatTensor float64 astype float32 DoubleTensor array nms format print astype float32 skip device_count to array range LongTensor FloatTensor RandomSampler assign MaxIoUAssigner sample Tensor FloatTensor RandomSampler assign MaxIoUAssigner sample empty long LongTensor FloatTensor RandomSampler assign MaxIoUAssigner sample empty build_detector _get_detector_cfg LongTensor FloatTensor OHEMSampler _context_for_ohem assign MaxIoUAssigner sample Tensor LongTensor FloatTensor OHEMSampler _context_for_ohem assign MaxIoUAssigner sample Tensor empty LongTensor FloatTensor OHEMSampler _context_for_ohem assign MaxIoUAssigner sample Tensor empty random range FloatTensor float64 astype float32 DoubleTensor soft_nms array params_to_string assert_equal list format std print argmin mean array append argmax keys include_outliers enumerate arange backend max out show list title savefig legend gca append format plot concatenate cla keys enumerate json_logs switch_backend print style xlabel set_xticks set_style array len add_argument add_parser add_argument add_parser add_plot_parser add_subparsers add_time_parser zip json_logs load_json_logs fromfile train update imshow_det_bboxes train ProgressBar retrieve_data_cfg skip_type build_dataset len vstack subplot ylabel shape ylim title savefig legend range format plot insert close xlim xlabel figure zeros fill_between len deepcopy format evaluate COCOeval print createIndex accumulate getImgIds append getCatIds enumerate deepcopy format evaluate COCOeval print makeplot COCO accumulate getImgIds recThrs loadRes dirname vstack getCatIds enumerate makedirs analyze_results ann add_argument result types ArgumentParser ones size add from_numpy zeros from_numpy add load format convert_conv_fc print len set OrderedDict dict save range convert_bn enumerate src convert dst depth Parameter eps reshape running_mean bias sqrt weight running_var named_children isinstance fuse_conv_bn Conv2d Identity fuse_module save_checkpoint out forward_dummy format hasattr tuple get_model_complexity_info shape eval fromfile cuda load decode format rstrip save Popen in_file process_checkpoint out_file get_available_passes optimize apply passes model modules save export_onnx_model printable_graph build_detector empty isinstance graph load_checkpoint zeros _print load list format basename print_coco_results isinstance print mean zeros keys enumerate len load list format basename isinstance print mean zeros keys enumerate len print get_coco_style_results get_voc_style_results load append replace enumerate task get_results filename add_argument ArgumentParser load join dump zip append range str local_rank tmpdir launcher MMDistributedDataParallel format_only show get_dist_info format_results gpu_collect get dump init_dist single_gpu_test build_dataloader wrap_fp16_model test join evaluate fuse_conv_bn makedirs multi_gpu_test MMDataParallel list evaluate COCOeval summarize is_str COCO accumulate getImgIds loadRes stats load eval_map CLASSES img_norm_cfg collect_results rstrip tensor broadcast list get_dist_info mkdtemp encode append range dump format bytearray zip load join barrier extend rmtree mkdir_or_exist full set_random_seed coco_eval_with_return final_prints seed corruptions voc_eval_with_return final_prints_aggregate obj_from_dict workers_per_gpu insert iou_thr results2json enumerate deepcopy coco severities dict add_mutually_exclusive_group localtime autoscale_lr abspath train_detector strftime get_root_logger work_dir append val resume_from info gpu_ids deterministic text collect_env mkdir_or_exist pipeline pop list items replace search join format print glob append len print track_progress track_parallel_progress int decode asarray basename area id dict dirname unique append imread toBbox pop dump labels dict append gt_dir list items img_dir cityscapes_path int parse findall text getroot append zeros array find join list format print track_progress extend zip list_from_file isdir devkit_path cvt_annotations | zehuichen123/3DFuture_ins_seg | 4,280 |
zehuichen123/DSEBM | ['anomaly detection'] | ['Deep Structured Energy Based Models for Anomaly Detection'] | dsebm.py data/kddcup10.py run.py DSEBM network minmax_normalization Kddcup min max | zehuichen123/DSEBM | 4,281 |
zehuichen123/MEG_tf | ['anomaly detection'] | ['Maximum Entropy Generators for Energy-Based Models'] | common/metrics_lib.py data/kddcup10.py data/dataHandler.py run_meg.py core/meg.py compute_score MEG Data minmax_normalization load_data Kddcup percentile precision_recall_fscore_support print zeros_like min max data Data concatenate minmax_normalization get_clean_training_testing_data test_data Kddcup loadmat array read_csv | zehuichen123/MEG_tf | 4,282 |
zej-luffy/deeplab-public-ver2 | ['semantic segmentation'] | ['DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs'] | python/caffe/io.py python/caffe/test/test_python_layer.py scripts/download_model_binary.py python/caffe/net_spec.py python/caffe/test/test_net.py tools/extra/resize_and_crop_images.py python/draw_net.py python/caffe/test/test_net_spec.py src/caffe/test/test_data/generate_sample_data.py python/caffe/draw.py python/caffe/pycaffe.py tools/extra/extract_seconds.py scripts/cpp_lint.py python/classify.py examples/web_demo/exifutil.py examples/pycaffe/layers/pyloss.py python/caffe/test/test_solver.py python/caffe/classifier.py examples/finetune_flickr_style/assemble_data.py python/caffe/test/test_io.py python/caffe/test/test_python_layer_with_param_str.py tools/extra/parse_log.py python/caffe/__init__.py python/caffe/test/test_layer_type_list.py examples/web_demo/app.py scripts/copy_notebook.py python/caffe/detector.py python/detect.py examples/pycaffe/caffenet.py tools/extra/summarize.py download_image make_net max_pool caffenet conv_relu fc_relu EuclideanLossLayer start_tornado start_from_terminal embed_image_html classify_upload index allowed_file ImagenetClassifier classify_url open_oriented_im apply_orientation main main main parse_args Classifier Detector get_edge_label draw_net get_layer_label get_pydot_graph choose_color_by_layertype get_pooling_types_dict draw_net_to_file Transformer blobproto_to_array datum_to_array array_to_blobproto arraylist_to_blobprotovecor_str array_to_datum resize_image blobprotovector_str_to_arraylist load_image oversample Layers Function Parameters Top NetSpec assign_proto param_name_dict to_proto _Net_blobs _Net_forward_all _Net_set_input_arrays _Net_backward _Net_params _Net_forward _Net_IdNameWrapper _Net_outputs _Net_forward_backward_all _Net_blob_loss_weights _Net_batch _Net_inputs TestBlobProtoToArray TestLayerTypeList simple_net_file TestNet lenet TestNetSpec silent_net anon_lenet exception_net_file parameter_net_file SimpleLayer TestPythonLayer ParameterLayer python_net_file ExceptionLayer SimpleParamLayer TestLayerWithParam python_param_net_file TestSolver ParseNolintSuppressions CheckVlogArguments CheckSectionSpacing FindNextMultiLineCommentEnd ReplaceAll CheckForFunctionLengths _SetOutputFormat _IsTestFilename _VerboseLevel CheckBraces RemoveMultiLineComments ResetNolintSuppressions CheckForNonStandardConstructs _SetVerboseLevel PrintUsage _NestingState CheckIncludeLine CheckAccess _CppLintState Search CheckInvalidIncrement RemoveMultiLineCommentsFromRange CleansedLines CheckForBadCharacters UpdateIncludeState FindPreviousMatchingAngleBracket CheckEmptyBlockBody FindNextMultiLineCommentStart Match _NamespaceInfo CheckMakePairUsesDeduction CheckCheck IsBlankLine _SetFilters ProcessLine _FunctionState CheckPosixThreading GetLineWidth GetHeaderGuardCPPVariable IsCppString _IncludeState CheckSpacing _ClassInfo CheckForCopyright IsErrorSuppressedByNolint ProcessFileData CheckForMultilineCommentsAndStrings CloseExpression _PreprocessorInfo _OutputFormat CheckForIncludeWhatYouUse CheckSpacingForFunctionCall FindEndOfExpressionInLine FindNextMatchingAngleBracket _SetCountingStyle ProcessFile _IncludeError CleanseRawStrings CheckAltTokens CheckForNewlineAtEOF ParseArguments CheckForNonConstReference PrintCategories _Filters main FilesBelongToSameModule CheckCStyleCast FileInfo _BlockInfo CheckForHeaderGuard CheckCaffeDataLayerSetUp ReverseCloseExpression CleanseComments _DropCommonSuffixes _ClassifyInclude CheckStyle CheckCaffeAlternatives FindStartOfExpressionInLine _ShouldPrintError CheckComment Error _GetTextInside CheckLanguage CheckCaffeRandom GetPreviousNonBlankLine reporthook parse_readme_frontmatter model_checks_out valid_dirname get_start_time extract_seconds extract_datetime_from_line get_log_created_year write_csv parse_log fix_initial_nan_learning_rate save_csv_files main parse_args parse_line_for_net_output ResizeCropImagesMapper PILResizeCrop OpenCVResizeCrop print_table printed_len summarize_net main read_net format_param imread urlretrieve Convolution InnerProduct Data SoftmaxWithLoss LRN Accuracy max_pool InnerProduct conv_relu fc_relu Dropout get read info load_image classify_image StringIO join replace info secure_filename save filename open_oriented_im classify_image fromarray replace astype save resize StringIO items list listen HTTPServer format print start WSGIContainer update start_tornado add_option OptionParser debug port parse_args ImagenetClassifier forward run hasattr _getexif astype float32 tile apply_orientation open transpose model_def endswith ArgumentParser save mean_file channel_swap output_file dirname expanduser parse_args input_file predict Classifier set_mode_cpu load time isdir print add_argument set_mode_gpu pretrained_model gpu len DataFrame Detector format to_hdf detect_selective_search mean set_index to_csv detect_windows read_csv add_argument ArgumentParser read NetParameter output_image_file rankdir Merge draw_net_to_file items list DESCRIPTOR batch_size str num_output get_pooling_types_dict add_edge get_edge_label list Dot get_layer_label values name choose_color_by_layertype Edge Node bottom append type layer add_node top data array diff shape BlobProto extend flat extend BlobProtoVector ParseFromString BlobProtoVector extend tostring shape Datum flat data len astype float32 tile zoom tuple resize fill empty array concatenate shape tile empty array LayerParameter list NetParameter _to_proto extend Counter OrderedDict values iteritems hasattr isinstance extend add getattr setattr items list layers index set outputs _forward len items list _backward layers inputs index set len items list asarray extend copy next _batch iter forward values len items list asarray backward extend copy next _batch zip_longest zip iter forward values len ascontiguousarray list concatenate iter zeros next range values len NamedTemporaryFile str close write data Pooling pool1 conv2 pool2 ip1 relu1 SoftmaxWithLoss Convolution NetSpec DummyData ip2 ReLU InnerProduct label conv1 Pooling SoftmaxWithLoss Convolution DummyData ReLU InnerProduct data NetSpec DummyData Silence data2 error search add group clear compile compile compile SetOutputFormat SetCountingStyle SetFilters _Filters startswith IsErrorSuppressedByNolint _ShouldPrintError write IncrementErrorCount replace append Match group find startswith endswith range error FindNextMultiLineCommentEnd RemoveMultiLineCommentsFromRange FindNextMultiLineCommentStart rstrip find range len FindEndOfExpressionInLine range len FindStartOfExpressionInLine error min search I range len FileInfo RepositoryName sep sub ParseNolintSuppressions error startswith split GetHeaderGuardCPPVariable enumerate error enumerate error len error replace count error find error find error find error find error Search error match InnermostClass replace error escape Match Search error group Search Check error lines Count End group Begin NumLines Match raw_lines range Search error match group error Match group pop group append Search pop group append Search elided replace CheckSpacingForFunctionCall rfind error len group min CloseExpression NumLines sub find CheckComment Match range Search lines_without_raw_strings error group starting_linenum Match range Search error rfind len group ReverseCloseExpression Search Match CloseExpression find error Match CloseExpression find elided error strip group FindEndOfExpressionInLine find Match range CloseExpression len error Match finditer normalize isinstance GetLineWidth int InnermostClass CheckCheck error CheckAltTokens CheckBraces CheckSpacing CheckSectionSpacing CheckEmptyBlockBody CheckAccess GetHeaderGuardCPPVariable lines_without_raw_strings _DropCommonSuffixes RepositoryName match split CheckNextIncludeOrder CanonicalizeAlphabeticalOrder FileInfo error search group SetLastHeader match _ClassifyInclude Match pop end search set append values M rstrip replace CheckCStyleCast error _GetTextInside CheckIncludeLine search group lstrip startswith Match ResetSection Search split rfind error group ReverseCloseExpression lstrip findall Match range Search ReplaceAll error Match Search endswith replace setdefault group search CleanseComments open list FilesBelongToSameModule error search copy sub NumLines FullName keys range error search CheckPosixThreading ParseNolintSuppressions CheckVlogArguments CheckMakePairUsesDeduction CheckCaffeDataLayerSetUp CheckLanguage CheckInvalidIncrement CheckCaffeRandom CheckForNonConstReference check_fn Update CheckForNonStandardConstructs CheckStyle raw_lines CheckForMultilineCommentsAndStrings CheckCaffeAlternatives CheckForFunctionLengths CleansedLines _NestingState CheckForBadCharacters CheckForNewlineAtEOF _IncludeState RemoveMultiLineComments CheckForCopyright ResetNolintSuppressions CheckForHeaderGuard NumLines CheckCompletedBlocks CheckForIncludeWhatYouUse range ProcessLine _FunctionState Error rstrip endswith len write ProcessFileData _SetVerboseLevel range split write exit join write exit _VerboseLevel int getopt _SetOutputFormat set _SetVerboseLevel PrintCategories _SetFilters _OutputFormat PrintUsage _SetCountingStyle split getreader ParseArguments ResetErrorCounts stderr exit verbose_level PrintErrorCounts StreamReaderWriter ProcessFile getwriter int time write flush load join index int rfind datetime split getctime year strip extract_datetime_from_line get_start_time total_seconds strip write get_log_created_year close extract_datetime_from_line open float get_log_created_year compile fix_initial_nan_learning_rate search group OrderedDict append float join basename write_csv print excel parse_log save_csv_files output_dir logfile_path NetParameter decay_mult format name lr_mult append print zip len get join str format convolution_param list setdefault param kernel_size map set top bottom append type module layer enumerate print_table filename summarize_net read_net | zej-luffy/deeplab-public-ver2 | 4,283 |
zepingyu0512/srnn | ['sentiment analysis'] | ['Sliced Recurrent Neural Networks'] | SRNN.py | zepingyu0512/srnn | 4,284 |
zero-one-loss/scd_github | ['adversarial defense'] | ['Defending against black-box adversarial attacks with gradient-free trained sign activation neural networks'] | tools/model_args.py binary/hopskipjump_attack.py binary/train_binarynn.py tools/flag.py tools/gtsrb.py core/scd01mlp_bnn.py binary/train_dt.py binary/bb_attack_.py core/scd_1vall_mlp.py core/resnet.py tools/__init__.py binary/train_scd4.py core/scdcemlp_bnn.py tools/utils.py core/cifar10_net.py binary/bb_attack.py core/text_wrapper.py core/scd01mlp_binary.py tools/get_data_gtsrb.py binary/train_lenet_.py tools/scd_version.py binary/train_resnetbnn.py core/scdcemlp.py binary/get_intercection.py blackbox_attack/models.py binary/train_mlp_major_.py tools/dataset.py binary/bb_attack_bnn.py core/bnn.py binary/bb_attack_2.py core/cnn_ensemble.py core/resnet_e.py noise_data binary_class jacobian_augmentation get_data stl10_bbox_sub get_adv bi Substitute Oracle noise_data binary_class jacobian_augmentation get_data stl10_bbox_sub get_adv bi Substitute Oracle noise_data binary_class jacobian_augmentation get_data stl10_bbox_sub get_adv bi Substitute Oracle noise_data binary_class jacobian_augmentation get_data stl10_bbox_sub get_adv bi Substitute Oracle modelWrapper bi bi Block SubstituteModel Cifar10Model Rh LeNet Toy _weights_init_ StlModel _weights_init CNNModel LinearModel BNN CNN SimpleNet_gtsrb LeNet_cifar SimpleNet_celeba LeNet_celeba SimpleNet_cifar _weights_init LeNet_gtsrb CNN CNNVote ResNet ResNet18 Bottleneck ResNet34 ResNet101 test ResNet50 _weights_init BasicBlock ResNet152 BinaryResNetE18Factory BinaryResNetE18 SCD SCD SCD SCD SCD TextWrapper get_data load_data ModelArgs scd_version_control BalancedBatchSampler print_title save_checkpoint zeros sum cat load data MNIST permutation eps binary_class bi reshape labels targets from_numpy array STL10 CIFAR10 float long sign get_grad choice print get_loss_grad time state_dict print size jacobian_augmentation target mean eval get_adv save append item train range predict makedirs transpose isinstance Conv2d bias kaiming_normal_ xavier_normal_ weight constant_ Linear isinstance Conv2d bias normal_ uniform_ weight Linear randn print ResNet18 size net pardir concatenate print chdir Compose ImageFolder DataLoader mkdir save append numpy enumerate load std concatenate chdir getcwd print reshape ones mean flatten zeros train_test_split array read_csv join print getcwd splitext makedirs join argv print choice localtime | zero-one-loss/scd_github | 4,285 |
zerohd4869/HIN-SR | ['sentiment analysis', 'text classification'] | ['Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis'] | pytorch_transformers/convert_roberta_checkpoint_to_pytorch.py pytorch_transformers/modeling_openai.py generate_reward_review.py pytorch_transformers/tokenization_gpt2.py pytorch_transformers/modeling_transfo_xl_utilities.py pytorch_transformers/tests/tokenization_gpt2_test.py pytorch_transformers/tests/modeling_auto_test.py pytorch_transformers/tests/modeling_xlm_test.py pytorch_transformers/tests/tokenization_xlnet_test.py pytorch_transformers/tokenization_auto.py pytorch_transformers/tokenization_bert.py pytorch_transformers/modeling_xlm.py pytorch_transformers/convert_tf_checkpoint_to_pytorch.py pytorch_transformers/tests/conftest.py pytorch_transformers/tests/tokenization_bert_test.py pytorch_transformers/optimization.py pytorch_transformers/modeling_auto.py pytorch_transformers/tokenization_utils.py pytorch_transformers/tokenization_xlnet.py pytorch_transformers/convert_openai_checkpoint_to_pytorch.py pytorch_transformers/modeling_roberta.py pytorch_transformers/tests/modeling_gpt2_test.py pytorch_transformers/tokenization_roberta.py pytorch_transformers/tests/tokenization_utils_test.py pytorch_transformers/tests/modeling_common_test.py pytorch_transformers/modeling_bert.py pytorch_transformers/tests/modeling_transfo_xl_test.py pytorch_transformers/tokenization_xlm.py pytorch_transformers/tests/tokenization_xlm_test.py pytorch_transformers/modeling_transfo_xl.py pytorch_transformers/modeling_xlnet.py pytorch_transformers/__init__.py pytorch_transformers/tests/tokenization_roberta_test.py pytorch_transformers/__main__.py pytorch_transformers/tests/tokenization_tests_commons.py pytorch_transformers/tokenization_transfo_xl.py pytorch_transformers/tokenization_openai.py pytorch_transformers/tests/modeling_bert_test.py pytorch_transformers/convert_xlm_checkpoint_to_pytorch.py pytorch_transformers/tests/modeling_openai_test.py pytorch_transformers/tests/tokenization_openai_test.py pytorch_transformers/modeling_gpt2.py pytorch_transformers/tests/modeling_roberta_test.py pytorch_transformers/convert_pytorch_checkpoint_to_tf.py pytorch_transformers/tests/optimization_test.py run_sa_review_toys.py pytorch_transformers/convert_xlnet_checkpoint_to_pytorch.py pytorch_transformers/tests/tokenization_transfo_xl_test.py pytorch_transformers/convert_gpt2_checkpoint_to_pytorch.py pytorch_transformers/modeling_utils.py pytorch_transformers/file_utils.py pytorch_transformers/tests/tokenization_auto_test.py pytorch_transformers/tests/modeling_xlnet_test.py pytorch_transformers/convert_transfo_xl_checkpoint_to_pytorch.py read_examples set_seed acc InputFeatures fun InputExample _truncate_seq_pair precision convert_examples_to_features select_field f1 main recall cut read_examples set_seed acc InputFeatures fun InputExample _truncate_seq_pair precision convert_examples_to_features select_field f1 main recall cut DecoderLayer TransfoXLModel PositionalEmbedding load_tf_weights_in_transfo_xl RelLearnableDecoderLayer AdaptiveEmbedding RelLearnableMultiHeadAttn TransfoXLPreTrainedModel MultiHeadAttn RelPartialLearnableDecoderLayer TransfoXLLMHeadModel PositionwiseFF TransfoXLConfig RelMultiHeadAttn build_tf_to_pytorch_map RelPartialLearnableMultiHeadAttn convert_gpt2_checkpoint_to_pytorch convert_openai_checkpoint_to_pytorch main convert_pytorch_checkpoint_to_tf convert_roberta_checkpoint_to_pytorch convert_tf_checkpoint_to_pytorch convert_transfo_xl_checkpoint_to_pytorch convert_xlm_checkpoint_to_pytorch convert_xlnet_checkpoint_to_pytorch cached_path s3_etag http_get s3_request s3_get get_from_cache filename_to_url url_to_filename split_s3_path AutoModel AutoConfig BertPreTrainingHeads BertForQuestionAnswering BertEncoder BertSelfAttention BertForMaskedLM BertOnlyMLMHead BertOnlyNSPHead BertEmbeddings BertOutput BertPredictionHeadTransform BertAttention BertPooler gelu BertPreTrainedModel BertForMultipleChoice BertConfig BertLayer BertForTokenClassification BertModel BertForNextSentencePrediction smooth_one_hot BertIntermediate BertForSequenceClassification BertForPreTraining swish LabelSmoothingLoss BertLMPredictionHead load_tf_weights_in_bert BertSelfOutput GPT2LMHeadModel Block GPT2DoubleHeadsModel load_tf_weights_in_gpt2 MLP gelu GPT2PreTrainedModel GPT2Model Attention GPT2Config Block OpenAIGPTPreTrainedModel OpenAIGPTConfig MLP gelu swish OpenAIGPTDoubleHeadsModel OpenAIGPTLMHeadModel Attention OpenAIGPTModel load_tf_weights_in_openai_gpt RobertaConfig RobertaForSequenceClassification RobertaLMHead RobertaClassificationHead RobertaEmbeddings RobertaForMaskedLM RobertaModel ProjectedAdaptiveLogSoftmax LogUniformSampler sample_logits prune_layer SQuADHead PoolerAnswerClass SequenceSummary prune_linear_layer prune_conv1d_layer PoolerEndLogits add_start_docstrings Conv1D PreTrainedModel PretrainedConfig PoolerStartLogits XLMConfig XLMModel XLMPreTrainedModel XLMWithLMHeadModel XLMPredLayer XLMForSequenceClassification MultiHeadAttention create_sinusoidal_embeddings get_masks gelu XLMForQuestionAnswering TransformerFFN XLNetRelativeAttention XLNetPreTrainedModel XLNetForQuestionAnswering build_tf_xlnet_to_pytorch_map XLNetLMHeadModel gelu swish XLNetConfig load_tf_weights_in_xlnet XLNetFeedForward XLNetForSequenceClassification XLNetModel XLNetLayer AdamW WarmupCosineSchedule WarmupCosineWithHardRestartsSchedule WarmupLinearSchedule WarmupConstantSchedule ConstantLRSchedule AutoTokenizer BasicTokenizer WordpieceTokenizer load_vocab whitespace_tokenize _is_whitespace _is_control BertTokenizer _is_punctuation bytes_to_unicode get_pairs GPT2Tokenizer get_pairs text_standardize OpenAIGPTTokenizer RobertaTokenizer LMOrderedIterator TransfoXLCorpus TransfoXLTokenizer LMMultiFileIterator get_lm_corpus LMShuffledIterator PreTrainedTokenizer get_pairs text_standardize XLMTokenizer XLNetTokenizer main pytest_addoption pytest_collection_modifyitems AutoModelTest BertModelTest ConfigTester ModelUtilsTest _config_zero_init CommonTestCases ids_tensor GPT2ModelTest OpenAIModelTest RobertaModelTest RobertaModelIntegrationTest TransfoXLModelTest XLMModelTest XLNetModelTest ScheduleInitTest unwrap_and_save_reload_schedule OptimizationTest unwrap_schedule AutoTokenizerTest BertTokenizationTest GPT2TokenizationTest OpenAIGPTTokenizationTest RobertaTokenizationTest TemporaryDirectory CommonTestCases TransfoXLTokenizationTest TokenizerUtilsTest XLMTokenizationTest XLNetTokenizationTest append float replace split InputExample split append read_csv values len append int range len title_len guid tensor text_b convert_tokens_to_ids map append range format replace InputFeatures _truncate_seq_pair info label tokenize enumerate join weight len pop len argmax argmax argmax argmax seed manual_seed_all manual_seed unsqueeze ArgumentParser save str basicConfig set_seed device_count convert_examples_to_features parse_args param_groups mean info enumerate join learning_rate collect AdamW makedirs wf_data_dir select_field step zero_grad DataParallel DataLoader output_dir do_train max train_steps read_examples list eval_batch_size DDP max_seq_length DistributedSampler per_gpu_eval_batch_size tolist append to init_process_group eval n_gpu add_argument tqdm cycle WarmupLinearSchedule train bool from_pretrained gradient_accumulation_steps model tuple precision warning f1 argmax data_dir set_device half SequentialSampler next range state_dict fp16 recall loss_scale model_name_or_path print named_parameters numpy local_rank train_batch_size do_test read_csv set_description device tensor round split_num TensorDataset get_lr cat format concatenate per_gpu_train_batch_size warmup_proportion backward to_csv RandomSampler acc len int list map reward output_dir_acc update r_r_bias hasattr tie_weight layers out_layers tie_projs emb_layers r_w_bias transformer emb_projs untie_r zip append out_projs enumerate load_variable pop list format items join transpose from_numpy list_variables info keys build_tf_to_pytorch_map enumerate format load_tf_weights_in_gpt2 print GPT2Model save from_json_file GPT2Config state_dict format OpenAIGPTConfig print OpenAIGPTModel save load_tf_weights_in_openai_gpt from_json_file state_dict reset_default_graph state_dict makedirs convert_pytorch_checkpoint_to_tf from_pretrained eps num_classes zeros_like print num_hidden_layers bias extract_features eval BertConfig shape save_pretrained allclose sentence_encoder weight range str format print BertForPreTraining save load_tf_weights_in_bert from_json_file state_dict pop str join format __dict__ load_tf_weights_in_transfo_xl print TransfoXLLMHeadModel save abspath TransfoXLConfig from_json_file state_dict load format print dict save str join format XLNetForQuestionAnswering print XLNetLMHeadModel XLNetForSequenceClassification load_tf_weights_in_xlnet abspath save from_json_file state_dict encode hexdigest sha256 str join str urlparse exists path netloc urlparse startswith resource split_s3_path Object resource split_s3_path download_fileobj get update write close tqdm iter_content len get str s3_etag decode join list url_to_filename filter startswith listdir head makedirs load_variable join int format info zip transpose fullmatch from_numpy any getattr list_variables abspath append split fill_ Size scatter_ unsqueeze empty load_variable int format info zip squeeze fullmatch from_numpy getattr list_variables abspath append split load pop int format zip cumsum fullmatch from_numpy split getattr dirname info open embedding view size einsum masked_fill_ sample cat detach list size len contiguous copy_ device to detach list size len contiguous copy_ device to detach isinstance Linear detach_ FloatTensor cos sin array size arange count update r_r_bias r_s_bias hasattr r_w_bias bias transformer untie_r seg_embed append weight layer enumerate load_variable pop list format items join isinstance build_tf_xlnet_to_pytorch_map transpose from_numpy list_variables info keys enumerate pow tanh sqrt pi OrderedDict rstrip enumerate strip split category category startswith startswith category ord append list range ord add set sub replace load join format TransfoXLCorpus save info exists pop convert_openai_checkpoint_to_pytorch convert_transfo_xl_checkpoint_to_pytorch convert_tf_checkpoint_to_pytorch convert_xlm_checkpoint_to_pytorch convert_gpt2_checkpoint_to_pytorch convert_xlnet_checkpoint_to_pytorch addoption getoption skip add_marker deepcopy list setattr keys append randint range Random append step get_lr range append step get_lr range AdamW parameters Linear | zerohd4869/HIN-SR | 4,286 |
zetongqi/attacking_neural_networks | ['adversarial attack'] | ['Towards Evaluating the Robustness of Neural Networks'] | CW_l2attack.py cifar10_train.py load_image cwl2 plot_adversarials visualize_adversarials reshape asarray astype open show str set_text reshape add_subplot imshow figure range len show reshape add_subplot imshow figure range len | zetongqi/attacking_neural_networks | 4,287 |
zh3nis/BPMI | ['word embeddings'] | ['Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces'] | eval.py main.py model.py data.py DataReader ValidDataset Word2vecDataset SkipGramModel LogitSGNSModel | zh3nis/BPMI | 4,288 |
zh3nis/SGNS | ['word embeddings'] | ['Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces'] | eval.py main.py model.py data.py DataReader ValidDataset Word2vecDataset SkipGramModel LogitSGNSModel | zh3nis/SGNS | 4,289 |
zhang-linrui/bank-card-number-recognition-CRNN | ['scene text detection'] | ['Detecting Text in Natural Image with Connectionist Text Proposal Network'] | ctpn/utils/rpn_msr/config.py ctpn/utils/text_connector/text_proposal_connector.py ctpn/utils/text_connector/text_proposal_graph_builder.py ctpn/utils/rpn_msr/generate_anchors.py crnn/vgg_blstm_ctc.py ctpn/utils/text_connector/other.py ctpn/utils/text_connector/text_connect_cfg.py ctpn/utils/rpn_msr/anchor_target_layer.py ctpn/utils/bbox/bbox_transform.py ctpn/utils/text_connector/detectors.py crnn/bankcard_predict.py ctpn/utils/rpn_msr/proposal_layer.py ctpn/utils/bbox/setup.py main.py ctpn/nets/model_train.py ctpn/utils/text_connector/text_proposal_connector_oriented.py ctpn/nets/vgg.py ctpn/main/demo.py use_ctpn_net single_recognition ctc_loss_layer model main resize_image get_images anchor_target_layer load_model model Bilstm lstm_fc smooth_l1_dist mean_image_subtraction make_var loss vgg_16 vgg_arg_scope clip_boxes bbox_transform bbox_transform_inv _unmap _compute_targets anchor_target_layer Config generate_anchors generate_basic_anchors scale_anchor _filter_boxes proposal_layer _filter_irregular_boxes TextDetector clip_boxes threshold Graph Config TextProposalConnector TextProposalConnector TextProposalGraphBuilder int LINE_AA imwrite print reshape polylines putText float32 FONT_HERSHEY_SIMPLEX shape detect proposal_layer TextDetector resize warpPerspective getPerspectiveTransform single_recognition run clear_session ctc_decode get_session set_session COLOR_BGR2GRAY model predict get_value load_weights resize zeros expand_dims cvtColor ctc_batch_cost Model Input he_normal join test_data_path format endswith print append walk len int min shape resize float max exists output_path rmtree gpu makedirs range split print Bilstm lstm_fc reshape conv2d shape mean_image_subtraction softmax Graph anchor_target_layer REGULARIZATION_LOSSES not_equal reshape get_collection float32 where sparse_softmax_cross_entropy_with_logits reduce_sum shape smooth_l1_dist reduce_mean cast add_n gather equal scalar transpose log dtype exp astype shape zeros minimum maximum arange RPN_BBOX_INSIDE_WEIGHTS _unmap argmax RPN_FG_FRACTION generate_anchors ones transpose array meshgrid sum RPN_BATCHSIZE format hstack ascontiguousarray choice sqrt fill empty RPN_POSITIVE_WEIGHT int EPS print reshape RPN_CLOBBER_POSITIVES _compute_targets zeros bbox_overlaps fill empty zeros array int32 scale_anchor copy append nms generate_anchors RPN_POST_NMS_TOP_N format arange print reshape meshgrid transpose clip_boxes bbox_transform_inv _filter_boxes hstack shape RPN_NMS_THRESH RPN_PRE_NMS_TOP_N RPN_MIN_SIZE threshold | zhang-linrui/bank-card-number-recognition-CRNN | 4,290 |
zhangfuyang/Conv-MPN | ['graph reconstruction'] | ['Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference'] | demo2.py corner_detection/model/nms/build.py demo_with_list.py drn.py corner_detection/demo.py train.py corner_detection/model/roialign/roi_align/roi_align.py corner_detection/main.py intersections.py metrics.py plot_pr.py corner_detection/model/utils.py corner_detection/model/roialign/roi_align/crop_and_resize.py dataset.py corner_detection/config.py unet.py corner_detection/extract_features.py SVG_utils.py utils.py python_dump_to_html.py corner_detection/model/nms/pth_nms.py html_temp.py corner_detection/model/visualize.py corner_detection/model/model.py corner_detection/model/roialign/roi_align/build.py corner_detection/python_dump_to_html.py model.py dataset_new.py demo.py corner_detection/model/nms/nms_wrapper.py config.py corner_detection/model/collate.py Graphdataset Graphdataset main main main drn_d_54 drn_c_58 drn_d_40 drn_d_38 drn_c_26 drn_d_56 Bottleneck drn_d_105 DRN_A drn_d_22 conv3x3 DRN drn_a_50 drn_d_24 drn_d_107 drn_c_42 BasicBlock scale_dimension helperDoIntersect doIntersect orientation onSegment extract_regions_v2 edges_from_annots get_sequence is_clockwise draw_edges check_polygon find_contour remove_dangling sort_clockwise getAngle extract_regions_v3 _flood_fill fill_regions find_loop Metrics extract_regions graphNetwork conv_mpn_model random_colors dump_html random_colors svg_generate main train valid double_conv UNet ensure_folder ExpoAverageMeter adjust_learning_rate save_checkpoint Config compute_angle InferenceConfig compute_angle InferenceConfig BuildingsConfig InferenceConfig BuildingsDataset dump_html PadCollate compute_mask_iou build_overcomplex_graph compute_overlaps compute_iou draw_detections resize_image generate_pyramid_anchors generate_boxes_from_gt mold_mask generate_anchors rotate_coords draw_gt unmold_mask compute_distance _corner_nms minimize_mask reconstruct split_dist_mat edge_endpoints compute_dists resize_mask primitive_detector_eval draw_relations extract_bboxes voc_ap expand_mask box_refinement Dataset nms pth_nms CropAndResize CropAndResizeFunction RoIAlign Graphdataset Graphdataset main main drn_d_54 drn_c_58 drn_d_40 drn_d_38 drn_c_26 drn_d_56 Bottleneck drn_d_105 DRN_A drn_d_22 conv3x3 DRN drn_a_50 drn_d_24 drn_d_107 drn_c_42 BasicBlock scale_dimension helperDoIntersect doIntersect orientation onSegment extract_regions_v2 edges_from_annots get_sequence is_clockwise draw_edges check_polygon find_contour remove_dangling sort_clockwise getAngle extract_regions_v3 _flood_fill fill_regions find_loop Metrics extract_regions graphNetwork conv_mpn_model random_colors dump_html svg_generate main train valid double_conv UNet ensure_folder ExpoAverageMeter adjust_learning_rate save_checkpoint Config compute_angle InferenceConfig compute_angle InferenceConfig BuildingsConfig BuildingsDataset dump_html PadCollate compute_mask_iou build_overcomplex_graph compute_overlaps compute_iou draw_detections resize_image generate_pyramid_anchors generate_boxes_from_gt mold_mask generate_anchors rotate_coords draw_gt unmold_mask compute_distance _corner_nms minimize_mask reconstruct split_dist_mat edge_endpoints compute_dists resize_mask primitive_detector_eval draw_relations extract_bboxes voc_ap expand_mask box_refinement Dataset nms pth_nms CropAndResize CropAndResizeFunction RoIAlign svg_generate ensure_folder print_metrics Sequential Graphdataset DataLoader save Metrics forward open show str exp transpose add imshow graphNetwork load_state_dict append to double CrossEntropyLoss range state_dict format plot close astype copy set eval item saveas enumerate load int criterion drn_c_26 print write reset numpy get_annot getbyname get_gt imread join T line img_as_float array len load_url load_state_dict DRN_A update items list load_url mean DRN load_state_dict iter next cat load_url DRN load_state_dict load_url DRN load_state_dict load_url DRN load_state_dict load_url DRN load_state_dict load_url DRN load_state_dict load_url DRN load_state_dict load_url DRN load_state_dict load_url DRN load_state_dict load_url DRN load_state_dict load_url DRN load_state_dict orientation array_equal array scale_dimension new line Draw append array enumerate zeros_like where set dict append norm degrees arctan2 append append array append getAngle list defaultdict keys get_sequence tuple sort_clockwise copy add append range len getAngle find_loop append array enumerate pop list check_polygon len dict append array enumerate find_contour Draw remove_dangling new len polygon add set doIntersect find_loop array range append enumerate find_contour remove_dangling len add set doIntersect find_loop range append enumerate _flood_fill range pop array append str join add_argument write len readlines close img_dir shape ArgumentParser split append parse_args abspath range enumerate open list Drawing g line circle add random_colors image enumerate len update time format criterion model backward info zero_grad item ExpoAverageMeter to step enumerate len ExpoAverageMeter eval time valid adjust_learning_rate save_checkpoint Adam change_device info min parameters train makedirs print param_groups ensure_folder format save join getcwd array int norm arccos degrees dot array SVG_dir listdir zeros array range minimum maximum zeros range compute_iou stack log chunk min sqrt stack append range cat pad min max imresize pad zoom imresize astype where zeros range imresize astype where zeros range zeros uint8 astype float32 arange concatenate reshape flatten sqrt meshgrid array append generate_anchors range len arange concatenate size maximum sum max range radians argmax clip tan cumsum argmax max list tolist append _corner_nms range eps format concatenate astype edge_endpoints zip float enumerate minimum int print sort maximum voc_ap argsort zeros array len list defaultdict norm append keys range len sum astype resize line print reshape transpose add argsort shape circle list line print sort transpose ravel argsort set add edge_endpoints append sum range circle list line add zip range circle fill_diagonal transpose min sqrt stack array split transpose tile split list draw_relations concatenate ones len split_dist_mat add edge_endpoints compute_dists zip append array range circle enumerate load line replace set dict add open array deg2rad load list rotate_coords replace astype set dict add append array open LongTensor size contiguous cpu_nms cuda gpu_nms | zhangfuyang/Conv-MPN | 4,291 |
zhanghang1989/MXNet-Gluon-Style-Transfer | ['style transfer'] | ['A Neural Algorithm of Artistic Style', 'Multi-style Generative Network for Real-time Transfer'] | data.py net.py models/download_model.py option.py utils.py main.py is_image_file find_classes make_dataset ImageFolder pil_loader main train optimize evaluate Vgg16 InstanceNorm Bottleneck ConvLayer gram_matrix ReflectancePadding Net UpBottleneck UpsampleConvLayer GramMatrix Inspiration Options add_imagenet_mean_batch subtract_imagenet_mean_batch CenterCrop init_vgg_params ToTensor preprocess_batch Compose Scale tensor_load_rgbimage tensor_save_rgbimage imagenet_clamp_batch subtract_imagenet_mean_preprocess_batch tensor_save_bgrimage StyleLoader sort is_image_file join sorted append expanduser listdir walk save_params style_size batch_size Trainer ImageFolder DataLoader L2Loss dataset cuda ctime seed str Vgg16 initialize waitall preprocess_batch style_weight epochs load_params collect_params range StyleLoader get format replace save_model_dir init_vgg_params content_weight Compose copy Net resume vgg enumerate join print style_folder cpu subtract_imagenet_mean_preprocess_batch step gpu len model style_model content_image output_image preprocess_batch Net tensor_load_rgbimage style_image cpu load_params set_target cuda gpu tensor_save_bgrimage data Trainer L2Loss cuda Parameter Vgg16 initialize content_image style_image imagenet_clamp_batch range tensor_save_bgrimage add_imagenet_mean_batch format init_vgg_params tensor_load_rgbimage set_data vgg output_image iters print cpu subtract_imagenet_mean_preprocess_batch step gpu train parse evaluate optimize shape batch_dot reshape int ANTIALIAS convert astype resize expand_dims array fromarray astype asnumpy save concat tensor_save_rgbimage split concat swapaxes split concat swapaxes split concat swapaxes split clip concat swapaxes split load join list system values | zhanghang1989/MXNet-Gluon-Style-Transfer | 4,292 |
zhangsilu17/Gini_distance_statistics | ['density estimation'] | ['Estimating Feature-Label Dependence Using Gini Distance Statistics'] | demo.py giniStatistics.py giniStat_joint giniStat_marignal GMD sort range len LabelEncoder GMD squareform list exp len pdist sum range sqrt unique scale sample reshape nan_to_num argsort transform zeros fit zeros giniStat_joint range | zhangsilu17/Gini_distance_statistics | 4,293 |
zhangtj1996/lottery-ticket-hypothesis-Mxnet | ['network pruning'] | ['The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks'] | lottery.py get_data init_masks_percents prune_by_percent get_weights MaskedNet print shape train_test_split read_csv as_in_context enumerate data enumerate items list prune_by_percent_once | zhangtj1996/lottery-ticket-hypothesis-Mxnet | 4,294 |
zhangyhuaee/KinD | ['low light image enhancement'] | ['Kindling the Darkness: A Practical Low-light Image Enhancer'] | decomposition_net_train.py reflectance_restoration_net_train.py adjustment_net_train.py evaluate_LOLdataset.py evaluate.py utils.py model.py grad_loss mutual_i_loss mutual_i_input_loss lrelu Illumination_adjust_net DecomNet_simple upsample_and_concat Restoration_net grad_loss ssim_loss lr_schedule blur save_images tensor_size gradient _tf_fspecial_gauss load_images tf_ssim gauss_kernel data_augmentation reduce_mean square gradient reduce_mean exp gradient rgb_to_grayscale maximum gradient div reduce_mean abs rgb_to_grayscale tf_ssim reshape outer sqrt repeat linspace cdf sum array diff gauss_kernel rot90 min float32 maximum array max open constant reshape transpose reduce_min reduce_max float32 conv2d div abs exp expand_dims constant conv2d reduce_mean _tf_fspecial_gauss fromarray concatenate squeeze astype save | zhangyhuaee/KinD | 4,295 |
zhangzheyu13/SingleViewDepth | ['depth estimation'] | ['Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue'] | read_depth.py train.py logger.py debug.py dataset.py resnet.py model.py KittiDataset Logger conv1x1 ResNet resnet50 Bottleneck conv3x3 depth_read conv1x1 ResNet upsample resnet50 Bottleneck conv3x3 parse_arguments load_url ResNet load_state_dict asarray astype float32 expand_dims open update weight constant_ state_dict add_argument ArgumentParser | zhangzheyu13/SingleViewDepth | 4,296 |
zhangzx-sjtu/LANTERN-NeurIPS-2019 | ['imitation learning'] | ['Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling'] | data/syn-small/cck.py data/weibo/cck.py data/weibo/preprocess.py discriminator.py evaluation.py data/memetracker/cck.py data/memetracker/preprocess.py data/syn-large/cck.py test.py optimization.py generator.py train_small.py train_large.py transformer.py model.py data_generate.py sample rand_generate rand_large_generate RNN_Discriminator Reward Discriminator Large_Network_Evaluator Small_Network_Evaluator Generator RNN_Generator PolicyGradient D_Loss list_add list_sub list_div list_mul cal_var cal_mean MultiHeadAttention Transformer FeedForwardLayer check_cascades exp max linspace delete unsqueeze FloatTensor ones tolist argmin append range update bernoulli LongTensor size shuffle sample float int print argsort zeros numpy array delete unsqueeze FloatTensor ones tolist argmin append range update LongTensor size shuffle sample float int argsort zeros numpy array append range len append range len append range len append range len list_div list_add range len list_add list_sub list_div list_mul cal_mean range len inf range len | zhangzx-sjtu/LANTERN-NeurIPS-2019 | 4,297 |
zhanhaoliu09/auto_tv_denoise | ['denoising'] | ['Revisit 1D Total Variation restoration problem with new real-time algorithms for signal and hyper-parameter estimations'] | test_class.py denoise_tv/utils.py denoise_tv/denoise_tv.py main Denoise_tv_naive Denoise_tv get_lambda_naive get_u_naive get_sign t2tau findMinMAX get_g_lambda t2tau2 get_lambda_ours_auto derivative_left derivative_right show_denoised_signal u_egal get_lambda_ours_semi_auto show normal arange denoise_auto size Denoise_tv_naive get_lambda_sure show_denoised_signal zeros get_lambda_aut array zeros diff shape zeros shape append ones len zeros size arange zeros size arange show join plot xlabel axvline xscale grid ylabel savefig figure legend zip append len show join plot xlabel scatter savefig figure legend zip len join xlabel axvline xscale ylabel scatter savefig derivative_right figure legend append xlim max diff join xlabel size axvline xscale ylabel scatter savefig derivative_right figure legend append xlim max diff get_sign arange findMinMAX argmin zeros abs cumsum append zeros array enumerate | zhanhaoliu09/auto_tv_denoise | 4,298 |
zhaoaite/CorrMNN | ['gait recognition'] | ['Multimodal Gait Recognition for Neurodegenerative Diseases'] | deep_CCA_model.py LDAclassifier.py linear_cca.py rnn_cell_GRU.py train.py cnn.py hmmexm.py plot_confusion_matrix.py time_channel.py twochannels.py preprocess.py fisher.py bilstm.py multi_feature_ex.py fusionmodel.py rnn.py load.py force_channel.py next_batch BiRNN softmax labelprocess next_batch labelprocess DeepCCA my_init_others my_init_sigmoid generate_gmm image_descriptors likelihood_moment fisher_vector_sigma get_args folder_descriptors fisher_features train dictionary success_rate fisher_vector fisher_vector_means get_fisher_vectors_from_folder load_gmm normalize fisher_vector_weights likelihood_statistics next_batch HMMTrainer RNN RNN feature_connect softmax labelprocess next_batch DCCA hmm_3model_classification auto_data_split hmm_4model_classification auto_data_split_fog manul_data_split hmm_model_create softmax HMMTrainer Iris_label lda_reduse_dimension LDA_reduce_dimension linear_cca feature_connect DataSet read_timeforce read_xrmb read_flicker test_with_gaussian_samples_image psfeatureTime FFT plot_confusion_matrix dynamic_rnn _dynamic_rnn_loop bidirectional_rnn raw_rnn _infer_state_dtype bidirectional_dynamic_rnn _rnn_step state_saving_rnn _reverse_seq rnn MultiRNNCell _linear BasicRNNCell BasicLSTMCell _get_sharded_variable InputProjectionWrapper _SlimRNNCell OutputProjectionWrapper _state_size_with_prefix _get_concat_variable LSTMCell EmbeddingWrapper LSTMStateTuple DropoutWrapper RNNCell GRUCell next_batch HMMTrainer RNN RNN feature_connect softmax labelprocess next_batch sum exp zeros enumerate len min len reshape transpose static_bidirectional_rnn GRUCell split random_uniform _compute_fans random_uniform _compute_fans train EM imread detectAndCompute resize glob print list likelihood_moment multiply zip sum array range len sqrt abs sign concatenate float32 fisher_vector_means fisher_vector_weights normalize fisher_vector_sigma likelihood_statistics concatenate print float32 dictionary save glob glob list concatenate SVC values fit list concatenate print float sum array values len parse_args add_argument ArgumentParser MultiRNNCell reshape transpose DropoutWrapper GRUCell rnn split int array range DeepCCA ones shape append HMMTrainer fit append train_test_split append train_test_split append get_score int show print reshape auto_data_split_fog len hmm_model_create shape savetxt array append float clock range enumerate get_score show auto_data_split hmm_model_create set_printoptions shape append range plot_confusion_matrix float clock enumerate int print reshape confusion_matrix figure array len list T eig inv set mean dot argsort zeros array show subplot print loadtxt LinearDiscriminantAnalysis score yticks set_xlabel shape title savetxt scatter figure set_zlabel set_ylabel transform xticks fit svd T identity mean dot eigh tile diag loadtxt DataSet feature_connect loadmat DataSet str DataSet concatenate zeros loadmat range len print reshape len shape array predict fit fft var max mean sqrt pow std range subplots arange grid tick_params round max str list ylabel imshow setp append range product get_xticklabels astype tight_layout set xlabel text set_yticks set_xticks all is_sequence is_sequence state flatten pack_sequence_as state_size rnn get_shape _copy_some_through call_cell assert_same_structure flatten set_shape zip pack_sequence_as cond get_shape pack to_int64 tuple merge_with unknown_shape set_shape reverse_sequence unpack zip append string_types isinstance VariableScope name tuple flatten pack_sequence_as _reverse_seq string_types isinstance VariableScope name reverse_sequence flatten tuple identity to_int32 constant output_size while_loop tuple reduce_max flatten shape _state_size_with_prefix set_shape zip pack_sequence_as reduce_min state_size as_list CONCATENATED_VARIABLES name concat _get_sharded_variable get_collection add_to_collection int floor append range get_variable | zhaoaite/CorrMNN | 4,299 |
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