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  1. .gitattributes +92 -0
  2. config/__init__.py +0 -0
  3. config/st.yaml +39 -0
  4. dataset/Q1/README.md +1 -0
  5. dataset/Q1/annots/img1001.jpg.json +112 -0
  6. dataset/Q1/annots/img1002.jpg.json +232 -0
  7. dataset/Q1/annots/img1003.jpg.json +100 -0
  8. dataset/Q1/annots/img1004.jpg.json +160 -0
  9. dataset/Q1/annots/img1005.jpg.json +148 -0
  10. dataset/Q1/annots/img1006.jpg.json +124 -0
  11. dataset/Q1/annots/img1007.jpg.json +148 -0
  12. dataset/Q1/annots/img1008.jpg.json +28 -0
  13. dataset/Q1/annots/img1009.jpg.json +172 -0
  14. dataset/Q1/annots/img101.jpg.json +40 -0
  15. dataset/Q1/annots/img1010.jpg.json +124 -0
  16. dataset/Q1/annots/img1011.jpg.json +148 -0
  17. dataset/Q1/annots/img1012.jpg.json +40 -0
  18. dataset/Q1/annots/img1013.jpg.json +88 -0
  19. dataset/Q1/annots/img1014.jpg.json +76 -0
  20. dataset/Q1/annots/img1015.jpg.json +112 -0
  21. dataset/Q1/annots/img1016.jpg.json +64 -0
  22. dataset/Q1/annots/img1017.jpg.json +136 -0
  23. dataset/Q1/annots/img1018.jpg.json +76 -0
  24. dataset/Q1/annots/img1019.jpg.json +148 -0
  25. dataset/Q1/annots/img102.jpg.json +40 -0
  26. dataset/Q1/annots/img1020.jpg.json +100 -0
  27. dataset/Q1/annots/img1021.jpg.json +196 -0
  28. dataset/Q1/annots/img1022.jpg.json +136 -0
  29. dataset/Q1/annots/img1023.jpg.json +124 -0
  30. dataset/Q1/annots/img1024.jpg.json +232 -0
  31. dataset/Q1/annots/img1025.jpg.json +256 -0
  32. dataset/Q1/annots/img1026.jpg.json +52 -0
  33. dataset/Q1/annots/img1027.jpg.json +112 -0
  34. dataset/Q1/annots/img1028.jpg.json +436 -0
  35. dataset/Q1/annots/img1029.jpg.json +52 -0
  36. dataset/Q1/annots/img103.jpg.json +52 -0
  37. dataset/Q1/annots/img1030.jpg.json +124 -0
  38. dataset/Q1/annots/img1031.jpg.json +64 -0
  39. dataset/Q1/annots/img1032.jpg.json +112 -0
  40. dataset/Q1/annots/img1033.jpg.json +148 -0
  41. dataset/Q1/annots/img1034.jpg.json +148 -0
  42. dataset/Q1/annots/img1035.jpg.json +40 -0
  43. dataset/Q1/annots/img1036.jpg.json +76 -0
  44. dataset/Q1/annots/img1037.jpg.json +64 -0
  45. dataset/Q1/annots/img1038.jpg.json +112 -0
  46. dataset/Q1/annots/img1039.jpg.json +64 -0
  47. dataset/Q1/annots/img104.jpg.json +76 -0
  48. dataset/Q1/annots/img1040.jpg.json +28 -0
  49. dataset/Q1/annots/img1041.jpg.json +316 -0
  50. dataset/Q1/annots/img1042.jpg.json +76 -0
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config/__init__.py ADDED
File without changes
config/st.yaml ADDED
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+ dataset_params:
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+ root_dir: "dataset/Q1"
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+ num_classes : 2
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+
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+ model_params:
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+ im_channels : 3
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+ aspect_ratios: [0.5, 1, 2]
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+ scales: [128, 256, 512]
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+ min_im_size : 600
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+ max_im_size : 1000
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+ backbone_out_channels : 512
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+ fc_inner_dim : 1024
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+ rpn_bg_threshold : 0.3
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+ rpn_fg_threshold : 0.7
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+ rpn_nms_threshold : 0.7
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+ rpn_train_prenms_topk : 12000
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+ rpn_test_prenms_topk : 6000
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+ rpn_train_topk : 2000
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+ rpn_test_topk : 300
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+ rpn_batch_size : 256
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+ rpn_pos_fraction : 0.5
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+ roi_iou_threshold : 0.5
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+ roi_low_bg_iou : 0.0 # increase it to 0.1 for hard negative
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+ roi_pool_size : 7
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+ roi_nms_threshold : 0.3
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+ roi_topk_detections : 100
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+ roi_score_threshold : 0.05
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+ roi_batch_size : 128
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+ roi_pos_fraction : 0.25
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+
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+ train_params:
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+ task_name: 'st'
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+ seed : 1111
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+ infer_seed: 1122
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+ acc_steps : 1 # increase you want to get gradients from >1 steps(kind of mimicking >1 batch size)
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+ num_epochs: 20
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+ lr_steps : [12, 16]
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+ lr: 0.001
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+ ckpt_name: 'faster_rcnn_st.pth'
dataset/Q1/README.md ADDED
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+ The angle is given in degrees. The angle and the box dimensions are in accordance with cv2.boxPoints() function. Please refer to this for visualizing the oriented bounding boxes on the image.
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