yolov3_mobilenet_v3_large.yml 956 B

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  1. architecture: YOLOv3
  2. pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x1_0_ssld_pretrained.pdparams
  3. norm_type: sync_bn
  4. YOLOv3:
  5. backbone: MobileNetV3
  6. neck: YOLOv3FPN
  7. yolo_head: YOLOv3Head
  8. post_process: BBoxPostProcess
  9. MobileNetV3:
  10. model_name: large
  11. scale: 1.
  12. with_extra_blocks: false
  13. extra_block_filters: []
  14. feature_maps: [7, 13, 16]
  15. # use default config
  16. # YOLOv3FPN:
  17. YOLOv3Head:
  18. anchors: [[10, 13], [16, 30], [33, 23],
  19. [30, 61], [62, 45], [59, 119],
  20. [116, 90], [156, 198], [373, 326]]
  21. anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
  22. loss: YOLOv3Loss
  23. YOLOv3Loss:
  24. ignore_thresh: 0.7
  25. downsample: [32, 16, 8]
  26. label_smooth: false
  27. BBoxPostProcess:
  28. decode:
  29. name: YOLOBox
  30. conf_thresh: 0.005
  31. downsample_ratio: 32
  32. clip_bbox: true
  33. nms:
  34. name: MultiClassNMS
  35. keep_top_k: 100
  36. score_threshold: 0.01
  37. nms_threshold: 0.45
  38. nms_top_k: 1000