FasterRCNN-ResNet34-FPN.yaml 930 B

1234567891011121314151617181920212223242526272829303132333435363738394041
  1. Global:
  2. model: FasterRCNN-ResNet34-FPN
  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: 2
  19. learning_rate: #0.08
  20. pretrain_weight_path: null
  21. warmup_steps: #100
  22. resume_path: null
  23. log_interval: 10
  24. eval_interval: 1
  25. Evaluate:
  26. weight_path: "output/best_model.pdparams"
  27. log_interval: 10
  28. Predict:
  29. model_dir: "output/best_model"
  30. input_path: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_object_detection_002.png"
  31. kernel_option:
  32. run_mode: paddle
  33. batch_size: 1
  34. Export:
  35. weight_path: https://paddledet.bj.bcebos.com/models/faster_rcnn_r34_fpn_1x_coco.pdparams