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| | | # Yolo-v2 Windows and Linux version |
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| | | [](https://circleci.com/gh/AlexeyAB/darknet) |
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| | | 1. [How to use](#how-to-use) |
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| | | 2. [How to compile on Linux](#how-to-compile-on-linux) |
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| | | 3. [How to compile on Windows](#how-to-compile-on-windows) |
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| | | * 194 MB VOC-model - WebCamera #0: `darknet.exe detector demo data/voc.data yolo-voc.cfg yolo-voc.weights -c 0` |
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| | | * 186 MB Yolo9000 - image: `darknet.exe detector test cfg/combine9k.data yolo9000.cfg yolo9000.weights` |
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| | | * 186 MB Yolo9000 - video: `darknet.exe detector demo cfg/combine9k.data yolo9000.cfg yolo9000.weights test.mp4` |
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| | | * To process a list of images `image_list.txt` and save results of detection to `result.txt` use: |
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| | | `darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights < image_list.txt > result.txt` |
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| | | You can comment this line so that each image does not require pressing the button ESC: https://github.com/AlexeyAB/darknet/blob/6ccb41808caf753feea58ca9df79d6367dedc434/src/detector.c#L509 |
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| | | ##### For using network video-camera mjpeg-stream with any Android smartphone: |
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| | | 4.2 (right click on project) -> properties -> Linker -> General -> Additional Library Directories: `C:\opencv_2.4.13\opencv\build\x64\vc14\lib` |
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| | | 5. If you have other version of OpenCV 2.4.x (not 3.x) then you also should change lines like `#pragma comment(lib, "opencv_core2413.lib")` in the file `\src\detector.c` |
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| | | 6. If you want to build with CUDNN to speed up then: |
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| | | 5. If you want to build with CUDNN to speed up then: |
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| | | * download and install **cuDNN 6.0 for CUDA 8.0**: https://developer.nvidia.com/cudnn |
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