jde_reader_1088x608.yml

worker_num: 2
TrainReader:
  sample_transforms:
    - Decode: {}
    - AugmentHSV: {}
    - LetterBoxResize: {target_size: [608, 1088]}
    - MOTRandomAffine: {}
    - RandomFlip: {}
    - BboxXYXY2XYWH: {}
    - NormalizeBox: {}
    - NormalizeImage: {mean: [0, 0, 0], std: [1, 1, 1], is_scale: True}
    - Permute: {}
  batch_transforms:
    - Gt2JDETargetThres:
        anchor_masks: [[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]]
        anchors: [[[128,384], [180,540], [256,640], [512,640]],
                  [[32,96], [45,135], [64,192], [90,271]],
                  [[8,24], [11,34], [16,48], [23,68]]]
        downsample_ratios: [32, 16, 8]
        ide_thresh: 0.5
        fg_thresh: 0.5
        bg_thresh: 0.4
  batch_size: 4
  shuffle: true
  drop_last: true
  use_shared_memory: true


EvalReader:
  sample_transforms:
    - Decode: {}
    - LetterBoxResize: {target_size: [608, 1088]}
    - BboxXYXY2XYWH: {}
    - NormalizeBox: {}
    - NormalizeImage: {mean: [0, 0, 0], std: [1, 1, 1], is_scale: True}
    - Permute: {}
  batch_transforms:
    - Gt2JDETargetMax:
        anchor_masks: [[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]]
        anchors: [[[128,384], [180,540], [256,640], [512,640]],
                  [[32,96], [45,135], [64,192], [90,271]],
                  [[8,24], [11,34], [16,48], [23,68]]]
        downsample_ratios: [32, 16, 8]
        max_iou_thresh: 0.60
    - BboxCXCYWH2XYXY: {}
    - Norm2PixelBbox: {}
  batch_size: 1


TestReader:
  inputs_def:
    image_shape: [3, 608, 1088]
  sample_transforms:
    - Decode: {}
    - LetterBoxResize: {target_size: [608, 1088]}
    - NormalizeImage: {mean: [0, 0, 0], std: [1, 1, 1], is_scale: True}
    - Permute: {}
  batch_size: 1


EvalMOTReader:
  sample_transforms:
    - Decode: {}
    - LetterBoxResize: {target_size: [608, 1088]}
    - NormalizeImage: {mean: [0, 0, 0], std: [1, 1, 1], is_scale: True}
    - Permute: {}
  batch_size: 1


TestMOTReader:
  inputs_def:
    image_shape: [3, 608, 1088]
  sample_transforms:
    - LetterBoxResize: {target_size: [608, 1088]}
    - NormalizeImage: {mean: [0, 0, 0], std: [1, 1, 1], is_scale: True}
    - Permute: {}
  batch_size: 1