Co-Deformable-DETR-R50.yaml 1.1 KB

12345678910111213141516171819202122232425262728293031323334353637383940
  1. Global:
  2. model: Co-Deformable-DETR-R50
  3. mode: check_dataset # check_dataset/train/evaluate/predict
  4. dataset_dir: "/paddle/dataset/paddlex/det/det_coco_examples"
  5. device: gpu:0,1,2,3
  6. output: "output"
  7. CheckDataset:
  8. convert:
  9. enable: False
  10. src_dataset_type: null
  11. split:
  12. enable: False
  13. train_percent: null
  14. val_percent: null
  15. Train:
  16. num_classes: 4
  17. epochs_iters: 50
  18. batch_size: 1
  19. learning_rate: 0.0001
  20. pretrain_weight_path: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/Co-Deformable-DETR-R50_pretrained.pdparams
  21. warmup_steps: 100
  22. resume_path: null
  23. log_interval: 10
  24. eval_interval: 1
  25. Evaluate:
  26. weight_path: "output/best_model/best_model.pdparams"
  27. log_interval: 10
  28. Predict:
  29. batch_size: 1
  30. model_dir: "output/best_model/inference"
  31. input: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_object_detection_002.png"
  32. kernel_option:
  33. run_mode: paddle
  34. Export:
  35. weight_path: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/Co-Deformable-DETR-R50_pretrained.pdparams