retinanet_reader.yml

worker_num: 2
TrainReader:
  sample_transforms:
  - Decode: {}
  - RandomFlip: {prob: 0.5}
  - 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: 2
  shuffle: true
  drop_last: true
  use_process: 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: 2
  shuffle: false


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
  shuffle: false