TrainReader: inputs_def: fields: ['image', 'gt_bbox', 'gt_class', 'gt_score'] num_max_boxes: 50 use_fine_grained_loss: true dataset: !COCODataSet image_dir: train2017 anno_path: annotations/instances_train2017.json dataset_dir: dataset/coco with_background: false sample_transforms: - !DecodeImage to_rgb: True with_mosaic: True - !Mosaic target_size: 640 - !RandomPerspective degree: 0 translate: 0.1 scale: 0.5 shear: 0.0 perspective: 0.0 border: [-320, -320] - !RandomFlipImage prob: 0.5 is_normalized: false - !RandomHSV hgain: 0.015 sgain: 0.7 vgain: 0.4 - !PadBox num_max_boxes: 50 - !BboxXYXY2XYWH {} batch_transforms: - !NormalizeImage mean: [0.0, 0.0, 0.0] std: [1.0, 1.0, 1.0] is_scale: True is_channel_first: false - !Permute to_bgr: false channel_first: True # focus: false downsample_ratios: [8, 16, 32] batch_size: 2 mosaic_prob: 0.3 mosaic_epoch: 8 shuffle: true drop_last: true worker_num: 8 bufsize: 16 target_size: 640 rect: false pad: 0.5 use_process: true EvalReader: inputs_def: fields: ['image', 'im_size', 'im_id', 'im_pad', 'im_scale'] num_max_boxes: 50 dataset: !COCODataSet dataset_dir: dataset/coco anno_path: annotations/instances_val2017.json #anno_path: annotations/instances_val2017_debug_139.json image_dir: val2017 with_background: false sample_transforms: - !DecodeImage to_rgb: true with_mixup: false - !ResizeAndKeepRatio target_size: 640 augment: false - !LetterBox target_size: 640 rect: true auto: false augment: false - !NormalizeImage mean: [0.0, 0.0, 0.0] std: [1.0, 1.0, 1.0] is_scale: true is_channel_first: false - !Permute to_bgr: false channel_first: true - !PadBox num_max_boxes: 50 batch_size: 1 drop_empty: false worker_num: 8 bufsize: 16 target_size: 640 rect: true pad: 0.5 stride: 32 TestReader: inputs_def: fields: ['image', 'im_size', 'im_id', 'im_pad', 'im_scale'] dataset: !ImageFolder anno_path: annotations/instances_val2017.json with_background: false sample_transforms: - !DecodeImage to_rgb: True with_mixup: false - !ResizeAndKeepRatio target_size: 640 augment: false - !LetterBox target_size: 672 rect: false auto: false augment: false - !NormalizeImage mean: [0.0, 0.0, 0.0] std: [1.0, 1.0, 1.0] is_scale: True is_channel_first: false - !Permute to_bgr: false channel_first: True batch_size: 1