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add model files

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  1. README.md +16 -0
  2. config.json +53 -0
  3. pytorch_model.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - object-detection
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+ datasets:
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+ - coco
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+ widget:
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg
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+ example_title: Savanna
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
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+ example_title: Football Match
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/airport.jpg
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+ example_title: Airport
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+ ---
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+
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+ This model was finetuned on [Deter-resnet-101-dc5](https://huggingface.co/facebook/detr-resnet-101-dc5) using the [FLIR](https://www.flir.com/oem/adas/adas-dataset-form/) dataset.
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/detr-resnet-101-dc5",
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "architectures": [
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+ "DetrForObjectDetection"
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+ ],
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+ "attention_dropout": 0.0,
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+ "auxiliary_loss": false,
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+ "backbone": "resnet101",
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+ "bbox_cost": 5,
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+ "bbox_loss_coefficient": 5,
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+ "class_cost": 1,
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+ "d_model": 256,
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+ "decoder_attention_heads": 8,
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+ "decoder_ffn_dim": 2048,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "dice_loss_coefficient": 1,
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+ "dilation": true,
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+ "dropout": 0.1,
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+ "encoder_attention_heads": 8,
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+ "encoder_ffn_dim": 2048,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 6,
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+ "eos_coefficient": 0.1,
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+ "giou_cost": 2,
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+ "giou_loss_coefficient": 2,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3"
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+ },
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+ "init_std": 0.02,
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+ "init_xavier_std": 1.0,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2,
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+ "LABEL_3": 3
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+ },
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+ "mask_loss_coefficient": 1,
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+ "max_position_embeddings": 1024,
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+ "model_type": "detr",
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+ "num_hidden_layers": 6,
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+ "num_queries": 100,
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+ "position_embedding_type": "sine",
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+ "scale_embedding": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.20.0"
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:fb54a731e1728d87f1ee498157f29bd1d2f250c511c4dd01ffa218a1ae8001d7
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+ size 242887198