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  1. cocomo.yaml +24 -0
  2. images/train/img1-1.jpg +3 -0
  3. images/train/img1-10.jpg +3 -0
  4. images/train/img1-100 (1).jpg +3 -0
  5. images/train/img1-100 (10).jpg +3 -0
  6. images/train/img1-100 (12).jpg +3 -0
  7. images/train/img1-100 (13).jpg +3 -0
  8. images/train/img1-100 (15).jpg +3 -0
  9. images/train/img1-100 (16).jpg +3 -0
  10. images/train/img1-100 (18).jpg +3 -0
  11. images/train/img1-100 (19).jpg +3 -0
  12. images/train/img1-100 (21).jpg +3 -0
  13. images/train/img1-100 (22).jpg +3 -0
  14. images/train/img1-100 (24).jpg +3 -0
  15. images/train/img1-100 (25).jpg +3 -0
  16. images/train/img1-100 (27).jpg +3 -0
  17. images/train/img1-100 (28).jpg +3 -0
  18. images/train/img1-100 (29).jpg +3 -0
  19. images/train/img1-100 (3).jpg +3 -0
  20. images/train/img1-100 (31).jpg +3 -0
  21. images/train/img1-100 (32).jpg +3 -0
  22. images/train/img1-100 (34).jpg +3 -0
  23. images/train/img1-100 (35).jpg +3 -0
  24. images/train/img1-100 (36).jpg +3 -0
  25. images/train/img1-100 (37).jpg +3 -0
  26. images/train/img1-100 (4).jpg +3 -0
  27. images/train/img1-100 (6).jpg +3 -0
  28. images/train/img1-100 (7).jpg +3 -0
  29. images/train/img1-100 (9).jpg +3 -0
  30. images/train/img1-11.jpg +3 -0
  31. images/train/img1-2.jpg +3 -0
  32. images/train/img1-5.jpg +3 -0
  33. images/train/img10-1.jpg +3 -0
  34. images/train/img10-10.jpg +3 -0
  35. images/train/img10-11.jpg +3 -0
  36. images/train/img10-16.jpg +3 -0
  37. images/train/img10-2.jpg +3 -0
  38. images/train/img10-5.jpg +3 -0
  39. images/train/img11-1.jpg +3 -0
  40. images/train/img11-10.jpg +3 -0
  41. images/train/img12-1.jpg +3 -0
  42. images/train/img12-12.jpg +3 -0
  43. images/train/img12-3.jpg +3 -0
  44. images/train/img2-1.jpg +3 -0
  45. images/train/img2-13.jpg +3 -0
  46. images/train/img2-14.jpg +3 -0
  47. images/train/img2-3.jpg +3 -0
  48. images/train/img2-5.jpg +3 -0
  49. images/train/img3-1.jpg +3 -0
  50. images/train/img3-10.jpg +3 -0
cocomo.yaml ADDED
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+ # Example usage: python train_pt_model.py --data custom.yaml
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+ # parent
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+ # ├── yolov5
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+ # └── datasets
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+ # ├── coco2017_train_cars_motorcycles_bicycles
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+ # └── custom_train_scooters
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+
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+
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+ # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
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+ #path: ../ # dataset root dir
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+ train: # train images (relative to 'path')
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+ - images/train
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+ val: # val images (relative to 'path')
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+ - images/val
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+
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+
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+ # test: # test images (optional)
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+ # - coco2017_test_cars_motorcycles_bicycles/images
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+ # - custom_test_scooters/images
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+
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+
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+ # Classes
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+ nc: 1 # number of classes
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+ names: [ 'Bottle_Cap' ] # class names
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