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- TrainReader:
- inputs_def:
- fields: ['image', 'im_info', 'im_id', 'gt_bbox', 'gt_class', 'is_crowd', 'gt_mask']
- dataset:
- !COCODataSet
- image_dir: train
- anno_path: annotations/instances_split_train.json
- dataset_dir: dataset/cocome
- sample_transforms:
- - !DecodeImage
- to_rgb: true
- - !RandomFlipImage
- prob: 0.5
- is_mask_flip: true
- - !NormalizeImage
- is_channel_first: false
- is_scale: true
- mean: [0.485,0.456,0.406]
- std: [0.229, 0.224,0.225]
- - !ResizeImage
- target_size: 800
- max_size: 1333
- interp: 1
- use_cv2: true
- - !Permute
- to_bgr: false
- channel_first: true
- batch_transforms:
- - !PadBatch
- pad_to_stride: -1
- use_padded_im_info: false
- batch_size: 1
- shuffle: true
- worker_num: 2
- drop_last: false
- use_process: false
- EvalReader:
- inputs_def:
- fields: ['image', 'im_info', 'im_id', 'im_shape']
- # for voc
- #fields: ['image', 'im_info', 'im_id', 'gt_bbox', 'gt_class', 'is_difficult']
- dataset:
- !COCODataSet
- image_dir: train
- anno_path: annotations/instances_split_val.json
- dataset_dir: dataset/cocome
- sample_transforms:
- - !DecodeImage
- to_rgb: true
- - !NormalizeImage
- is_channel_first: false
- is_scale: true
- mean: [0.485,0.456,0.406]
- std: [0.229, 0.224,0.225]
- - !ResizeImage
- interp: 1
- max_size: 1333
- target_size: 800
- use_cv2: true
- - !Permute
- channel_first: true
- to_bgr: false
- batch_size: 1
- shuffle: false
- drop_last: false
- drop_empty: false
- worker_num: 2
- TestReader:
- inputs_def:
- fields: ['image', 'im_info', 'im_id', 'im_shape']
- dataset:
- !ImageFolder
- anno_path: dataset/cocome/annotations/instances_split_val.json
- sample_transforms:
- - !DecodeImage
- to_rgb: true
- with_mixup: false
- - !NormalizeImage
- is_channel_first: false
- is_scale: true
- mean: [0.485,0.456,0.406]
- std: [0.229, 0.224,0.225]
- - !ResizeImage
- interp: 1
- max_size: 1333
- target_size: 800
- use_cv2: true
- - !Permute
- channel_first: true
- to_bgr: false
- batch_size: 1
- shuffle: false
- drop_last: false
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