fcos_reader.yml 1.1 KB

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  1. worker_num: 2
  2. TrainReader:
  3. sample_transforms:
  4. - Decode: {}
  5. - Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
  6. - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
  7. - RandomFlip: {}
  8. batch_transforms:
  9. - Permute: {}
  10. - PadBatch: {pad_to_stride: 128}
  11. - Gt2FCOSTarget:
  12. object_sizes_boundary: [64, 128, 256, 512]
  13. center_sampling_radius: 1.5
  14. downsample_ratios: [8, 16, 32, 64, 128]
  15. norm_reg_targets: True
  16. batch_size: 2
  17. shuffle: True
  18. drop_last: True
  19. EvalReader:
  20. sample_transforms:
  21. - Decode: {}
  22. - Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
  23. - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
  24. - Permute: {}
  25. batch_transforms:
  26. - PadBatch: {pad_to_stride: 128}
  27. batch_size: 1
  28. TestReader:
  29. sample_transforms:
  30. - Decode: {}
  31. - Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
  32. - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
  33. - Permute: {}
  34. batch_transforms:
  35. - PadBatch: {pad_to_stride: 128}
  36. batch_size: 1
  37. fuse_normalize: True