تثبيت OpenCV + CUDA على ويندوز

مقدمة

• Windows 8.1 + Visual Studio 2017 + Python 2/3 + CUDA 10.0 + GeForce 840m
• Windows 10 + Visual Studio 2019 + Python 2/3 + CUDA 10.0 + GeForce GTX 1060

ما تحتاج إلى تثبيت

1. CMake 3.15
2. MS Visual Studio 2019 أدوات 64 بت + CMake C ++ لنظام Windows
3. بيثون 3.7.3 64 بت + NumPy 64 بت
4. Python 2.7.16 64 بت + NumPy 64 بت
5. كودا 10.0
6. CuDNN 7.6.2
7. OpenCV 4.1.1 و OpenCV-Particip-4.1.1

تركيب

• CMake (الإصدار> = 3.9.1)
• مرض التصلب العصبي المتعدد البصرية ستوديو
• بيثون 3.7 (توزيع أناكوندا 3)
• كودا 10.0
• CuDNN 7.6.2

git clone https://github.com/opencv/opencv.git -b "4.1.1" git clone https://github.com/opencv/opencv_contrib.git -b "4.1.1" 

 set "opencvSource=opencv-4.1.1" set "opencvExtraModules=opencv_contrib-4.1.1/modules" set "opencvBuild=%opencvSource%\build" set "compiler=Visual Studio 16 2019" set "buildType=Release" 

 set "python2_executable=C:/Python27/python.exe" set "python2_include_dir=C:/Python27/include" set "python2_library=C:/Python27/libs/python27.lib" set "python2_numpy_include_dirs=C:/Python27/Lib/site-packages/numpy/core/include" set "python2_packages_path=C:/Python27/Lib/site-packages" set "python3_executable=C:/Users/root/Anaconda3/python.exe" set "python3_include_dir=C:/Users/root/Anaconda3/include" set "python3_library=C:/Users/root/Anaconda3/libs/python37.lib" set "python3_numpy_include_dirs=C:/Users/root/Anaconda3/lib/site-packages/numpy/core/include" set "python3_packages_path=C:/Users/root/Anaconda3/Lib/site-packages" 

 import numpy.distutils.system_info as sysinfo print(sysinfo.platform_bits) 

 cmake ^ -B"%opencvBuild%/" ^ -H"%opencvSource%/" ^ -G"%compiler%" ^ -Ax64 ^ -DCMAKE_BUILD_TYPE=%buildType% ^ -DBUILD_opencv_world=ON ^ -DINSTALL_TESTS=OFF ^ -DINSTALL_C_EXAMPLES=OFF ^ -DBUILD_EXAMPLES=OFF ^ -DOPENCV_EXTRA_MODULES_PATH="%opencvExtraModules%/" ^ -DBUILD_PROTOBUF=ON ^ -DBUILD_opencv_python_bindings_generator=ON ^ -DWITH_CUDA=ON ^ -DCUDA_FAST_MATH=ON ^ -DWITH_CUBLAS=ON ^ -DCUDA_ARCH_PTX=7.5 ^ -DBUILD_opencv_python2=ON ^ -DPYTHON2_EXECUTABLE="%python2_executable%" ^ -DOPENCV_PYTHON2_VERSION=2.7.16 ^ -DPYTHON2_INCLUDE_DIR="%python2_include_dir%" ^ -DPYTHON2_LIBRARY="%python2_library%" ^ -DPYTHON2_NUMPY_INCLUDE_DIRS="%python2_numpy_include_dirs%" ^ -DPYTHON2_PACKAGES_PATH="%python2_packages_path%" ^ -DBUILD_opencv_python3=ON ^ -DPYTHON3_EXECUTABLE="%python3_executable%" ^ -DOPENCV_PYTHON3_VERSION=3.7.3 ^ -DPYTHON3_INCLUDE_DIR="%python3_include_dir%" ^ -DPYTHON3_LIBRARY="%python3_library%" ^ -DPYTHON3_NUMPY_INCLUDE_DIRS="%python3_numpy_include_dirs%" ^ -DPYTHON3_PACKAGES_PATH="%python3_packages_path%" 

 cmake --build %opencvBuild% --target ALL_BUILD --config Release 

 cmake --build %opencvBuild% --target INSTALL --config Release 

اختبار

 import numpy as np import cv2 as cv import time rand = np.random.random((1024, 1024)).astype(np.float32) h_array1 = np.stack([rand, rand],axis=2) h_array2 = h_array1 d_array1 = cv.cuda_GpuMat() d_array2 = cv.cuda_GpuMat() d_array1.upload(h_array1) d_array2.upload(h_array2) start = time.time() cv.cuda.gemm(d_array1, d_array2, 1, None, 0, None, 1) end = time.time() print("Time elapsed:", end - start, "sec") 

 Time elapsed: 0.3130002021789551 

 #include <iostream> #include <opencv2/opencv.hpp> #include <opencv2/cudaarithm.hpp> using namespace std; using namespace cv; using namespace cv::cuda; int main() { Mat h_array1 = Mat::ones(1024, 1024, CV_32FC2); Mat h_array2 = Mat::ones(1024, 1024, CV_32FC2); Mat h_array3 = Mat::zeros(1024, 1024, CV_32FC2); Mat h_result; GpuMat d_array1, d_array2, d_array3, d_result; d_array1.upload(h_array1); d_array2.upload(h_array2); const clock_t begin_time = clock(); cuda::gemm(d_array1, d_array2, 1.0, d_array3, 0.0, d_result); cout << "Time elapsed: " << (float(clock() - begin_time) / CLOCKS_PER_SEC) << " sec" << endl; d_result.download(h_result); return 0; } 

 Time elapsed: 0.354 

إزالة

 cmake --build %opencvBuild% --target uninstall --config Release 

استنتاج

 cd C:\OpenCV git clone https://github.com/opencv/opencv_contrib.git -b "4.1.1" git clone https://github.com/opencv/opencv.git -b "4.1.1" ren opencv opencv-4.1.1 ren opencv_contrib-4.1.1 set "opencvSource=opencv-4.1.1" set "opencvExtraModules=opencv_contrib-4.1.1/modules" set "opencvBuild=%opencvSource%\build" set "compiler=Visual Studio 16 2019" set "buildType=Release" set "python2_executable=C:/Python27/python.exe" set "python2_include_dir=C:/Python27/include" set "python2_library=C:/Python27/libs/python27.lib" set "python2_numpy_include_dirs=C:/Python27/Lib/site-packages/numpy/core/include" set "python2_packages_path=C:/Python27/Lib/site-packages" set "python3_executable=C:/Users/root/Anaconda3/python.exe" set "python3_include_dir=C:/Users/root/Anaconda3/include" set "python3_library=C:/Users/root/Anaconda3/libs/python37.lib" set "python3_numpy_include_dirs=C:/Users/root/Anaconda3/lib/site-packages/numpy/core/include" set "python3_packages_path=C:/Users/root/Anaconda3/Lib/site-packages" cmake ^ -B"%opencvBuild%/" ^ -H"%opencvSource%/" ^ -G"%compiler%" ^ -Ax64 ^ -DCMAKE_BUILD_TYPE=%buildType% ^ -DBUILD_opencv_world=ON ^ -DINSTALL_TESTS=OFF ^ -DINSTALL_C_EXAMPLES=OFF ^ -DBUILD_EXAMPLES=OFF ^ -DOPENCV_EXTRA_MODULES_PATH="%opencvExtraModules%/" ^ -DBUILD_PROTOBUF=ON ^ -DBUILD_opencv_python_bindings_generator=ON ^ -DWITH_CUDA=ON ^ -DCUDA_FAST_MATH=ON ^ -DWITH_CUBLAS=ON ^ -DCUDA_ARCH_PTX=7.5 ^ -DBUILD_opencv_python2=ON ^ -DPYTHON2_EXECUTABLE="%python2_executable%" ^ -DOPENCV_PYTHON2_VERSION=2.7.16 ^ -DPYTHON2_INCLUDE_DIR="%python2_include_dir%" ^ -DPYTHON2_LIBRARY="%python2_library%" ^ -DPYTHON2_NUMPY_INCLUDE_DIRS="%python2_numpy_include_dirs%" ^ -DPYTHON2_PACKAGES_PATH="%python2_packages_path%" ^ -DBUILD_opencv_python3=ON ^ -DPYTHON3_EXECUTABLE="%python3_executable%" ^ -DOPENCV_PYTHON3_VERSION=3.7.3 ^ -DPYTHON3_INCLUDE_DIR="%python3_include_dir%" ^ -DPYTHON3_LIBRARY="%python3_library%" ^ -DPYTHON3_NUMPY_INCLUDE_DIRS="%python3_numpy_include_dirs%" ^ -DPYTHON3_PACKAGES_PATH="%python3_packages_path%" cmake --build %opencvBuild% --target ALL_BUILD --config Release cmake --build %opencvBuild% --target INSTALL --config Release 

قائمة المصادر

1. docs.opencv.org/4.1.1/d3/d52/tutorial_windows_install.html
2. www.learnopencv.com/install-opencv-4-on-windows
3. jamesbowley.co.uk/build-opencv-4-0-0-with-cuda-10-0-and-intel-mkl-tbb-in-windows
4. lightbuzz.com/opencv-cuda
5. الفصل "بناء المكتبات من المصدر" للكتاب العملي - رؤية تسريع وحدة معالجة الرسومات باستخدام OpenCV و CUDA