ppyoloe_convnext_tiny_36e_coco.yml 976 B

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  1. _BASE_: [
  2. '../datasets/coco_detection.yml',
  3. '../runtime.yml',
  4. '../ppyoloe/_base_/ppyoloe_crn.yml',
  5. '../ppyoloe/_base_/ppyoloe_reader.yml',
  6. ]
  7. depth_mult: 0.25
  8. width_mult: 0.50
  9. log_iter: 100
  10. snapshot_epoch: 5
  11. weights: output/ppyoloe_convnext_tiny_36e_coco/model_final
  12. pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/convnext_tiny_22k_224.pdparams
  13. YOLOv3:
  14. backbone: ConvNeXt
  15. neck: CustomCSPPAN
  16. yolo_head: PPYOLOEHead
  17. post_process: ~
  18. ConvNeXt:
  19. arch: 'tiny'
  20. drop_path_rate: 0.4
  21. layer_scale_init_value: 1.0
  22. return_idx: [1, 2, 3]
  23. PPYOLOEHead:
  24. static_assigner_epoch: 12
  25. nms:
  26. nms_top_k: 10000
  27. keep_top_k: 300
  28. score_threshold: 0.01
  29. nms_threshold: 0.7
  30. TrainReader:
  31. batch_size: 16
  32. epoch: 36
  33. LearningRate:
  34. base_lr: 0.0002
  35. schedulers:
  36. - !PiecewiseDecay
  37. gamma: 0.1
  38. milestones: [36]
  39. use_warmup: false
  40. OptimizerBuilder:
  41. regularizer: false
  42. optimizer:
  43. type: AdamW
  44. weight_decay: 0.0005