worker_num: 0
TrainReader:
  sample_transforms:
  - Decode: {}
  - RandomFlip: {prob: 0.5}
  - RandomSelect: { transforms1: [ RandomShortSideResize: { short_side_sizes: [ 480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800 ], max_size: 1333 } ],
                    transforms2: [
                        RandomShortSideResize: { short_side_sizes: [ 400, 500, 600 ] },
                        RandomSizeCrop: { min_size: 384, max_size: 600 },
                        RandomShortSideResize: { short_side_sizes: [ 480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800 ], max_size: 1333 } ]
  }
  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
  - NormalizeBox: {}
  - BboxXYXY2XYWH: {}
  - Permute: {}
  batch_transforms:
  - PadMaskBatch: {pad_to_stride: -1, return_pad_mask: true}
  batch_size: 2
  shuffle: true
  drop_last: true
  collate_batch: false
  use_shared_memory: false


EvalReader:
  sample_transforms:
  - Decode: {}
  - Resize: {target_size: [800, 1333], keep_ratio: True}
  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
  - Permute: {}
  batch_transforms:
  - PadMaskBatch: {pad_to_stride: -1, return_pad_mask: true}
  batch_size: 1
  shuffle: false
  drop_last: false
  drop_empty: false


TestReader:
  sample_transforms:
  - Decode: {}
  - Resize: {target_size: [800, 1333], keep_ratio: True}
  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
  - Permute: {}
  batch_transforms:
  - PadMaskBatch: {pad_to_stride: -1, return_pad_mask: true}
  batch_size: 1
  shuffle: false
  drop_last: false