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| | | |  |  https://arxiv.org/abs/1612.08242 | |
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| | | |  |  https://arxiv.org/abs/1612.08242 | |
| | | |  |  https://arxiv.org/abs/1612.08242 | |
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| | | More details: http://pjreddie.com/darknet/yolo/ |
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| | | ##### Requires: |
| | | * **MS Visual Studio 2015 (v140)**: https://www.microsoft.com/download/details.aspx?id=48146 |
| | | * **MS Visual Studio 2015 (v140)**: https://go.microsoft.com/fwlink/?LinkId=532606&clcid=0x409 (or offline [ISO image](https://go.microsoft.com/fwlink/?LinkId=615448&clcid=0x409)) |
| | | * **CUDA 8.0 for Windows x64**: https://developer.nvidia.com/cuda-downloads |
| | | * **OpenCV 2.4.9**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.4.9/opencv-2.4.9.exe/download |
| | | - To compile without OpenCV - remove define OPENCV from: Visual Studio->Project->Properties->C/C++->Preprocessor |
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| | | 5. Run command: `type 2007_train.txt 2007_val.txt 2012_*.txt > train.txt` |
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| | | 6. Start training by using `train_voc.cmd` or by using the command line: `darknet.exe detector train data/voc.data yolo-voc.cfg darknet19_448.conv.23` |
| | | 6. Set `batch=64` and `subdivisions=8` in the file `yolo-voc.cfg`: [link](https://github.com/AlexeyAB/darknet/blob/master/build/darknet/x64/yolo-voc.cfg#L3) |
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| | | 7. Start training by using `train_voc.cmd` or by using the command line: `darknet.exe detector train data/voc.data yolo-voc.cfg darknet19_448.conv.23` |
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| | | If required change pathes in the file `build\darknet\x64\data\voc.data` |
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| | | 1. Create file `yolo-obj.cfg` with the same content as in `yolo-voc.cfg` (or copy `yolo-voc.cfg` to `yolo-obj.cfg)` and: |
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| | | * change line batch to [`batch=64`](https://github.com/AlexeyAB/darknet/blob/master/build/darknet/x64/yolo-voc.cfg#L3) |
| | | * change line subdivisions to [`subdivisions=8`](https://github.com/AlexeyAB/darknet/blob/master/build/darknet/x64/yolo-voc.cfg#L4) |
| | | * change line `classes=20` to your number of objects |
| | | * change line #224 from [`filters=125`](https://github.com/AlexeyAB/darknet/blob/master/cfg/yolo-voc.cfg#L224) to `filters=(classes + 5)*5` (generally this depends on the `num` and `coords`, i.e. equal to `(classes + coords + 1)*num`) |
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