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- TrainReader:
- inputs_def:
- fields: ['image', 'gt_bbox', 'gt_class', 'gt_score']
- num_max_boxes: 100
- 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_mixup: True
- - !MixupImage
- alpha: 1.5
- beta: 1.5
- - !ColorDistort {}
- - !RandomExpand
- fill_value: [123.675, 116.28, 103.53]
- - !RandomCrop {}
- - !RandomFlipImage
- is_normalized: false
- - !NormalizeBox {}
- - !PadBox
- num_max_boxes: 100
- - !BboxXYXY2XYWH {}
- batch_transforms:
- - !RandomShape
- sizes: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608, 640, 672, 704, 736, 768]
- random_inter: True
- - !NormalizeImage
- mean: [0.485, 0.456, 0.406]
- std: [0.229, 0.224, 0.225]
- is_scale: True
- is_channel_first: false
- - !Permute
- to_bgr: false
- channel_first: True
- # Gt2YoloTarget is only used when use_fine_grained_loss set as true,
- # this operator will be deleted automatically if use_fine_grained_loss
- # is set as false
- - !Gt2YoloTarget
- anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
- anchors: [[10, 13], [16, 30], [33, 23],
- [30, 61], [62, 45], [59, 119],
- [116, 90], [156, 198], [373, 326]]
- downsample_ratios: [32, 16, 8]
- batch_size: 12
- shuffle: true
- mixup_epoch: 25000
- drop_last: true
- worker_num: 8
- bufsize: 4
- use_process: true
- EvalReader:
- inputs_def:
- fields: ['image', 'im_size', 'im_id']
- num_max_boxes: 100
- dataset:
- !COCODataSet
- image_dir: val2017
- anno_path: annotations/instances_val2017.json
- dataset_dir: dataset/coco
- with_background: false
- sample_transforms:
- - !DecodeImage
- to_rgb: True
- - !ResizeImage
- target_size: 640
- interp: 2
- - !NormalizeImage
- mean: [0.485, 0.456, 0.406]
- std: [0.229, 0.224, 0.225]
- is_scale: True
- is_channel_first: false
- - !PadBox
- num_max_boxes: 50
- - !Permute
- to_bgr: false
- channel_first: True
- batch_size: 8
- drop_empty: false
- worker_num: 8
- bufsize: 4
- TestReader:
- inputs_def:
- image_shape: [3, 640, 640]
- fields: ['image', 'im_size', 'im_id']
- dataset:
- !ImageFolder
- anno_path: annotations/instances_val2017.json
- with_background: false
- sample_transforms:
- - !DecodeImage
- to_rgb: True
- - !ResizeImage
- target_size: 640
- interp: 2
- - !NormalizeImage
- mean: [0.485, 0.456, 0.406]
- std: [0.229, 0.224, 0.225]
- is_scale: True
- is_channel_first: false
- - !Permute
- to_bgr: false
- channel_first: True
- batch_size: 1
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