mask_reader.yml

worker_num: 2
TrainReader:
  sample_transforms:
  - DecodeOp: {}
  - RandomResizeOp: {target_size: [[640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]], interp: 2, keep_ratio: True}
  - RandomFlipOp: {prob: 0.5, is_mask_flip: true}
  - NormalizeImageOp: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
  - PermuteOp: {}
  batch_transforms:
  - PadBatchOp: {pad_to_stride: -1., pad_gt: true}
  batch_size: 1
  shuffle: true
  drop_last: true


EvalReader:
  sample_transforms:
  - DecodeOp: {}
  - ResizeOp: {interp: 2, target_size: [800, 1333], keep_ratio: True}
  - NormalizeImageOp: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
  - PermuteOp: {}
  batch_transforms:
  - PadBatchOp: {pad_to_stride: -1., pad_gt: false}
  batch_size: 1
  shuffle: false
  drop_last: false
  drop_empty: false


TestReader:
  sample_transforms:
  - DecodeOp: {}
  - ResizeOp: {interp: 2, target_size: [800, 1333], keep_ratio: True}
  - NormalizeImageOp: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
  - PermuteOp: {}
  batch_transforms:
  - PadBatchOp: {pad_to_stride: -1., pad_gt: false}
  batch_size: 1
  shuffle: false
  drop_last: false
  drop_empty: false