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opencv install log #11
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https://github.com/spmallick/learnopencv 手写数字识别 svm karas 英文字符识别 opencv想编译成静态库,那么把BUILD_SHARED_LIBS的钩去掉,这样就不用每次发布程序都带一堆动态库 https://docs.opencv.org/3.4.3/d7/d9f/tutorial_linux_install.html 注意png编译 sudo yum -y install gtk2 gtk2-devel 必备的 移植的时候也需要S1 cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_PNG=ON -DWITH_CUDA=OFF -DWITH_CUFFT=OFF -DWITH_CUBLAS=OFF -DWITH_NVCUVID=OFF -DBUILD_CUDA_STUBS=OFF -DCMAKE_INSTALL_PREFIX=/usr/local -DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib-3.4.0/modules/ ../opencv-3.4.0 ###/usr/local/bin/python3 ###linux cpu下编译 包含python cmake -D CMAKE_BUILD_TYPE=Release -D ENABLE_CXX11=ON -D BUILD_JPEG=ON -D BUILD_PNG=ON -D BUILD_ZLIB=ON -D WITH_FFMPEG=ON -D WITH_V4L=ON -D BUILD_opencv_python3=ON -D BUILD_opencv_python2=OFF -D BUILD_opencv_java=OFF -D PYTHON_EXECUTABLE=$(which python3) -D WITH_CUDA=OFF -D WITH_CUFFT=OFF -D WITH_CUBLAS=OFF -D WITH_NVCUVID=OFF -D BUILD_CUDA_STUBS=OFF -D CMAKE_INSTALL_PREFIX=/usr/local -D OPENCV_EXTRA_MODULES_PATH=../opencv_contrib-3.4.3/modules/ -D PYTHON_LIBRARY=/usr/local/lib/libpython3.6m.a -D PYTHON3_NUMPY_INCLUDE_DIRS=/usr/local/lib/python3.6/site-packages/numpy/core/include ../opencv-3.4.3 ###linux gpu下编译 【face_landmark_model.dat下载问题】 Call Stack (most recent call first): 【ippicv_2017u3_lnx_intel64_general_20180518.tgz下载问题】 将"https://raw.githubusercontent.com/opencv/opencv_3rdparty/${IPPICV_COMMIT}/ippicv/" linux下 windows下 【opencv 模型文件 或第三方库】 【】 Perhaps you should add the directory containing `opencv.pc' to the PKG_CONFIG_PATH environment variable cp /usr/local/lib/pkgconfig/opencv.pc /usr/lib/pkgconfig or ln -s 【官方指导】 【关于旋转】 result: libpng warning: iCCP: known incorrect sRGB profile python cv2 [lix@test darknet-master_v2]$ ll /usr/local/lib64/pkgconfig/opencv.pc pip install opencv-python-3.4.3 【windows下 opencv cuda编译】 【python】 pyinstaller -F -w demo.py python + c++ opencv 编译 yum install libgstreamer rpm -qa |grep gstreamer yum search gstreamer yum search gstreamer-ffmpeg |
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