retinanet_reader.yml

worker_num: 2
TrainReader:
  sample_transforms:
    - Decode: {}
    - RandomResize: {target_size: [[640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]], keep_ratio: True, interp: 1}
    - RandomFlip: {}
    - NormalizeImage: {is_scale: True, mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225]}
    - Permute: {}
  batch_transforms:
    - PadBatch: {pad_to_stride: 32}
  batch_size: 2
  shuffle: True
  drop_last: True
  collate_batch: False


EvalReader:
  sample_transforms:
    - Decode: {}
    - Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
    - NormalizeImage: {is_scale: True, mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225]}
    - Permute: {}
  batch_transforms:
    - PadBatch: {pad_to_stride: 32}
  batch_size: 8


TestReader:
  sample_transforms:
    - Decode: {}
    - Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
    - NormalizeImage: {is_scale: True, mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225]}
    - Permute: {}
  batch_transforms:
    - PadBatch: {pad_to_stride: 32}
  batch_size: 1