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Alexey 7 years ago committed by GitHub
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@ -31,7 +31,7 @@ More details: http://pjreddie.com/darknet/yolo/
This repository supports: This repository supports:
* both Windows and Linux * both Windows and Linux
* both OpenCV 3.x and OpenCV 2.4.13 * both OpenCV 2.x.x and OpenCV <= 3.4.0 (3.4.1 and higher isn't supported)
* both cuDNN v5-v7 * both cuDNN v5-v7
* CUDA >= 7.5 * CUDA >= 7.5
* also create SO-library on Linux and DLL-library on Windows * also create SO-library on Linux and DLL-library on Windows
@ -39,7 +39,7 @@ This repository supports:
##### Requires: ##### Requires:
* **Linux GCC>=4.9 or Windows 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)) * **Linux GCC>=4.9 or Windows 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 9.1**: https://developer.nvidia.com/cuda-downloads * **CUDA 9.1**: https://developer.nvidia.com/cuda-downloads
* **OpenCV 3.x**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.2.0/opencv-3.2.0-vc14.exe/download * **OpenCV 3.4.0**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.4.0/opencv-3.4.0-vc14_vc15.exe/download
* **or OpenCV 2.4.13**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.4.13/opencv-2.4.13.2-vc14.exe/download * **or OpenCV 2.4.13**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.4.13/opencv-2.4.13.2-vc14.exe/download
- OpenCV allows to show image or video detection in the window and store result to file that specified in command line `-out_filename res.avi` - OpenCV allows to show image or video detection in the window and store result to file that specified in command line `-out_filename res.avi`
* **GPU with CC >= 2.0** if you use CUDA, or **GPU CC >= 3.0** if you use cuDNN + CUDA: https://en.wikipedia.org/wiki/CUDA#GPUs_supported * **GPU with CC >= 2.0** if you use CUDA, or **GPU CC >= 3.0** if you use cuDNN + CUDA: https://en.wikipedia.org/wiki/CUDA#GPUs_supported

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