Detic / configs /Detic_OVCOCO_CLIP_R50_1x_max-size.yaml
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_BASE_: "Base_OVCOCO_C4_1x.yaml"
MODEL:
WEIGHTS: "models/BoxSup_OVCOCO_CLIP_R50_1x.pth"
ROI_BOX_HEAD:
WS_NUM_PROPS: 32
IMAGE_LABEL_LOSS: 'max_size'
SOLVER:
IMS_PER_BATCH: 16
BASE_LR: 0.02
STEPS: (60000, 80000)
MAX_ITER: 90000
DATASETS:
TRAIN: ("coco_zeroshot_train_oriorder", "coco_caption_train_tags")
INPUT:
CUSTOM_AUG: ResizeShortestEdge
MIN_SIZE_TRAIN_SAMPLING: range
MIN_SIZE_TRAIN: (800, 800)
DATALOADER:
SAMPLER_TRAIN: "MultiDatasetSampler"
DATASET_RATIO: [1, 4]
USE_DIFF_BS_SIZE: True
DATASET_BS: [2, 8]
USE_RFS: [False, False]
DATASET_MIN_SIZES: [[800, 800], [400, 400]]
DATASET_MAX_SIZES: [1333, 667]
FILTER_EMPTY_ANNOTATIONS: False
MULTI_DATASET_GROUPING: True
DATASET_ANN: ['box', 'image']
NUM_WORKERS: 8
WITH_IMAGE_LABELS: True