Installing OpenCV w/ GPU in Windows: Difference between revisions
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The OpenCV installing via pip does not include GPU support and will significantly reduce performance. This decreases FPS from around 30FPS to under 2FPS in darknet. To enable the GPU, you must compile opencv with CUDA support. | The OpenCV installing via pip does not include GPU support and will significantly reduce performance. This decreases FPS from around 30FPS to under 2FPS in darknet. To enable the GPU, you must compile opencv with CUDA support. | ||
# Download OpenCV from [https://opencv.org/releases/ here] | # Create a DEV folder at c:\dev\ | ||
# Download OpenCV Contrib from [https://github.com/opencv/opencv_contrib/releases here] (note that versions should match) | # Install cmake | ||
# Download OpenCV from [https://opencv.org/releases/ here] and extract to dev folder as opencv | |||
# Download OpenCV Contrib from [https://github.com/opencv/opencv_contrib/releases here] (note that versions should match) and extract to dev folder as opencv-contrib | |||
# Run cmake-gui and point the sources folder to c:\dev\opencv\sources | |||
# Set the build directory to c:\dev\opencv\build | |||
# Adjust the following flags: | |||
<pre> cmake -D CMAKE_BUILD_TYPE=RELEASE \ | |||
-D CMAKE_INSTALL_PREFIX=/usr/local \ | |||
-D WITH_TBB=ON \ | |||
-D ENABLE_FAST_MATH=1 \ | |||
-D CUDA_FAST_MATH=1 \ | |||
-D WITH_CUBLAS=1 \ | |||
-D WITH_CUDA=ON \ | |||
-D BUILD_opencv_cudacodec=OFF \ | |||
-D WITH_CUDNN=ON \ | |||
-D OPENCV_DNN_CUDA=ON \ | |||
-D CUDA_ARCH_BIN=7.5 \ | |||
-D WITH_V4L=ON \ | |||
-D WITH_QT=OFF \ | |||
-D WITH_OPENGL=ON \ | |||
-D WITH_GSTREAMER=ON \ | |||
-D OPENCV_GENERATE_PKGCONFIG=ON \ | |||
-D OPENCV_PC_FILE_NAME=opencv.pc \ | |||
-D OPENCV_ENABLE_NONFREE=ON \ | |||
-D OPENCV_PYTHON3_INSTALL_PATH=~/.virtualenvs/cv/lib/python3.8/site-packages \ | |||
-D PYTHON_EXECUTABLE=~/.virtualenvs/cv/bin/python \ | |||
-D OPENCV_EXTRA_MODULES_PATH=~/Downloads/opencv_contrib-4.5.2/modules \ | |||
-D INSTALL_PYTHON_EXAMPLES=OFF \ | |||
-D INSTALL_C_EXAMPLES=OFF \ | |||
-D BUILD_EXAMPLES=OFF ..</pre> | |||
Revision as of 13:10, 21 September 2021
The OpenCV installing via pip does not include GPU support and will significantly reduce performance. This decreases FPS from around 30FPS to under 2FPS in darknet. To enable the GPU, you must compile opencv with CUDA support.
- Create a DEV folder at c:\dev\
- Install cmake
- Download OpenCV from here and extract to dev folder as opencv
- Download OpenCV Contrib from here (note that versions should match) and extract to dev folder as opencv-contrib
- Run cmake-gui and point the sources folder to c:\dev\opencv\sources
- Set the build directory to c:\dev\opencv\build
- Adjust the following flags:
cmake -D CMAKE_BUILD_TYPE=RELEASE \ -D CMAKE_INSTALL_PREFIX=/usr/local \ -D WITH_TBB=ON \ -D ENABLE_FAST_MATH=1 \ -D CUDA_FAST_MATH=1 \ -D WITH_CUBLAS=1 \ -D WITH_CUDA=ON \ -D BUILD_opencv_cudacodec=OFF \ -D WITH_CUDNN=ON \ -D OPENCV_DNN_CUDA=ON \ -D CUDA_ARCH_BIN=7.5 \ -D WITH_V4L=ON \ -D WITH_QT=OFF \ -D WITH_OPENGL=ON \ -D WITH_GSTREAMER=ON \ -D OPENCV_GENERATE_PKGCONFIG=ON \ -D OPENCV_PC_FILE_NAME=opencv.pc \ -D OPENCV_ENABLE_NONFREE=ON \ -D OPENCV_PYTHON3_INSTALL_PATH=~/.virtualenvs/cv/lib/python3.8/site-packages \ -D PYTHON_EXECUTABLE=~/.virtualenvs/cv/bin/python \ -D OPENCV_EXTRA_MODULES_PATH=~/Downloads/opencv_contrib-4.5.2/modules \ -D INSTALL_PYTHON_EXAMPLES=OFF \ -D INSTALL_C_EXAMPLES=OFF \ -D BUILD_EXAMPLES=OFF ..