yolov3_r34.yml 869 B

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  1. architecture: YOLOv3
  2. pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet34_pretrained.pdparams
  3. norm_type: sync_bn
  4. YOLOv3:
  5. backbone: ResNet
  6. neck: YOLOv3FPN
  7. yolo_head: YOLOv3Head
  8. post_process: BBoxPostProcess
  9. ResNet:
  10. depth: 34
  11. return_idx: [1, 2, 3]
  12. freeze_at: -1
  13. freeze_norm: false
  14. norm_decay: 0.
  15. YOLOv3Head:
  16. anchors: [[10, 13], [16, 30], [33, 23],
  17. [30, 61], [62, 45], [59, 119],
  18. [116, 90], [156, 198], [373, 326]]
  19. anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
  20. loss: YOLOv3Loss
  21. YOLOv3Loss:
  22. ignore_thresh: 0.7
  23. downsample: [32, 16, 8]
  24. label_smooth: false
  25. BBoxPostProcess:
  26. decode:
  27. name: YOLOBox
  28. conf_thresh: 0.005
  29. downsample_ratio: 32
  30. clip_bbox: true
  31. nms:
  32. name: MultiClassNMS
  33. keep_top_k: 100
  34. score_threshold: 0.01
  35. nms_threshold: 0.45
  36. nms_top_k: 1000