ppyolo_mbv3_large.yml 1.1 KB

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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. use_ema: true
  5. ema_decay: 0.9998
  6. YOLOv3:
  7. backbone: MobileNetV3
  8. neck: PPYOLOFPN
  9. yolo_head: YOLOv3Head
  10. post_process: BBoxPostProcess
  11. MobileNetV3:
  12. model_name: large
  13. scale: 1.
  14. with_extra_blocks: false
  15. extra_block_filters: []
  16. feature_maps: [13, 16]
  17. PPYOLOFPN:
  18. in_channels: [160, 368]
  19. coord_conv: true
  20. conv_block_num: 0
  21. spp: true
  22. drop_block: true
  23. YOLOv3Head:
  24. anchors: [[11, 18], [34, 47], [51, 126],
  25. [115, 71], [120, 195], [254, 235]]
  26. anchor_masks: [[3, 4, 5], [0, 1, 2]]
  27. loss: YOLOv3Loss
  28. YOLOv3Loss:
  29. ignore_thresh: 0.5
  30. downsample: [32, 16]
  31. label_smooth: false
  32. scale_x_y: 1.05
  33. iou_loss: IouLoss
  34. IouLoss:
  35. loss_weight: 2.5
  36. loss_square: true
  37. BBoxPostProcess:
  38. decode:
  39. name: YOLOBox
  40. conf_thresh: 0.005
  41. downsample_ratio: 32
  42. clip_bbox: true
  43. scale_x_y: 1.05
  44. nms:
  45. name: MultiClassNMS
  46. keep_top_k: 100
  47. nms_threshold: 0.45
  48. nms_top_k: 1000
  49. score_threshold: 0.005