ssdlite300_reader.yml 1.1 KB

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  1. worker_num: 8
  2. TrainReader:
  3. inputs_def:
  4. num_max_boxes: 90
  5. sample_transforms:
  6. - Decode: {}
  7. - RandomDistort: {brightness: [0.5, 1.125, 0.875], random_apply: False}
  8. - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
  9. - RandomCrop: {allow_no_crop: Fasle}
  10. - RandomFlip: {}
  11. - Resize: {target_size: [300, 300], keep_ratio: False, interp: 1}
  12. - NormalizeBox: {}
  13. - PadBox: {num_max_boxes: 90}
  14. batch_transforms:
  15. - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: true}
  16. - Permute: {}
  17. batch_size: 64
  18. shuffle: true
  19. drop_last: true
  20. EvalReader:
  21. sample_transforms:
  22. - Decode: {}
  23. - Resize: {target_size: [300, 300], keep_ratio: False, interp: 1}
  24. - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: true}
  25. - Permute: {}
  26. batch_size: 1
  27. TestReader:
  28. inputs_def:
  29. image_shape: [3, 300, 300]
  30. sample_transforms:
  31. - Decode: {}
  32. - Resize: {target_size: [300, 300], keep_ratio: False, interp: 1}
  33. - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: true}
  34. - Permute: {}
  35. batch_size: 1