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custom_detection.yml
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41 lines (36 loc) · 811 Bytes
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task: detection
evaluator:
type: CocoEvaluator
iou_types: ['bbox', ]
num_classes: 777 # your dataset classes
remap_mscoco_category: False
train_dataloader:
type: DataLoader
dataset:
type: CocoDetection
img_folder: /data/yourdataset/train
ann_file: /data/yourdataset/train/train.json
return_masks: False
transforms:
type: Compose
ops: ~
shuffle: True
num_workers: 4
drop_last: True
collate_fn:
type: BatchImageCollateFunction
val_dataloader:
type: DataLoader
dataset:
type: CocoDetection
img_folder: /data/yourdataset/val
ann_file: /data/yourdataset/val/val.json
return_masks: False
transforms:
type: Compose
ops: ~
shuffle: False
num_workers: 4
drop_last: False
collate_fn:
type: BatchImageCollateFunction