forked from PulseFocusPlatform/PulseFocusPlatform
92 lines
2.0 KiB
YAML
92 lines
2.0 KiB
YAML
TrainReader:
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inputs_def:
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fields: ['image', 'im_info', 'im_id', 'gt_bbox', 'gt_class', 'is_crowd']
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dataset:
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!COCODataSet
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image_dir: train2017
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anno_path: annotations/instances_train2017.json
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dataset_dir: dataset/coco
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sample_transforms:
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- !DecodeImage
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to_rgb: true
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- !RandomFlipImage
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prob: 0.5
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- !NormalizeImage
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is_channel_first: false
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is_scale: true
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mean: [0.485,0.456,0.406]
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std: [0.229, 0.224,0.225]
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- !ResizeImage
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target_size: 800
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max_size: 1333
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interp: 1
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use_cv2: true
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- !Permute
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to_bgr: false
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channel_first: true
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batch_transforms:
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- !PadBatch
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pad_to_stride: -1
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use_padded_im_info: false
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batch_size: 1
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shuffle: true
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worker_num: 2
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use_process: false
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EvalReader:
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inputs_def:
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fields: ['image', 'im_info', 'im_id', 'im_shape']
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# for voc
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#fields: ['image', 'im_info', 'im_id', 'im_shape', 'gt_bbox', 'gt_class', 'is_difficult']
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dataset:
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!COCODataSet
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image_dir: val2017
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anno_path: annotations/instances_val2017.json
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dataset_dir: dataset/coco
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sample_transforms:
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- !DecodeImage
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to_rgb: true
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- !NormalizeImage
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is_channel_first: false
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is_scale: true
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mean: [0.485,0.456,0.406]
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std: [0.229, 0.224,0.225]
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- !ResizeImage
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interp: 1
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max_size: 1333
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target_size: 800
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use_cv2: true
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- !Permute
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channel_first: true
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to_bgr: false
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batch_size: 1
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shuffle: false
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drop_empty: false
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worker_num: 2
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TestReader:
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inputs_def:
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fields: ['image', 'im_info', 'im_id', 'im_shape']
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dataset:
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!ImageFolder
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anno_path: annotations/instances_val2017.json
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sample_transforms:
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- !DecodeImage
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to_rgb: true
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with_mixup: false
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- !NormalizeImage
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is_channel_first: false
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is_scale: true
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mean: [0.485,0.456,0.406]
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std: [0.229, 0.224,0.225]
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- !ResizeImage
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interp: 1
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max_size: 1333
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target_size: 800
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use_cv2: true
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- !Permute
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channel_first: true
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to_bgr: false
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batch_size: 1
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shuffle: false
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