4 files modified
5 files added
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| | | GPU=1 |
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| | | CUDNN=0 |
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| | | CUDNN=1 |
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| | | CUDNN_HALF=0 |
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| | | OPENCV=0 |
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| | | OPENCV=1 |
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| | | AVX=0 |
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| | | OPENMP=0 |
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| | | LIBSO=0 |
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| | | <img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_5.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_6.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_7.jpg" width="360"> |
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| | | The second and third problems should easily be solved by further augmenting the dataset with random lighting and image skew. I'll have to think more about the first problem, though. |
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| | | ## Day 1 |
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| | | ----------------------- |
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| | | Added several image augmentation techniques to apply to the training set: noise, dropout, light variation, and glaring: |
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| | | <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_1.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_2.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_3.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_4.jpg" width="360"> |
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| | | Currently trying to generate enough images to start model training. Hopefully this helps. |
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| | | Recompiled darknet with OpenCV and CUDNN installed, and recalculated anchors. |
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| New file |
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| | | 118.3429,137.0897, 95.8160,181.9724, 140.4955,166.7423, 112.7262,220.6808, 129.2741,198.9876, 159.0679,197.4912, 138.1861,243.0256, 167.4683,229.0091, 165.0264,255.0887 |
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| | | activation=linear |
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| | | [region] |
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| | | anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 |
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| | | anchors = 118.3429,137.0897, 95.8160,181.9724, 140.4955,166.7423, 112.7262,220.6808, 129.2741,198.9876, 159.0679,197.4912, 138.1861,243.0256, 167.4683,229.0091, 165.0264,255.0887 |
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| | | bias_match=1 |
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| | | classes=1 |
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| | | coords=4 |
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