Ubuntu安装笔记(三):ffmpeg(3.2.16)源码编译opencv(3.4.0)

ffmpeg安装

安装链接：Jetson 环境安装(三):jetson nano配置ffmpeg和nginx(亲测)
安装完以后，在配置文件.zshrc 或者.bashrc中加入ffmpeg的环境变量：

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/Your/Path/ffmpeg/lib/
export PATH=/Your/Path/ffmpeg/ffmpeg/bin/:$PATH
export PKG_CONFIG_PATH=/Your/Path/ffmpeg/lib/pkgconfig/

上述步骤都做完以后，检查ffmpeg是否安装成功：

ffmpeg -version

opencv编译

我们这里要用自己下载的ffmpeg源码来对opencv源码进行编译
将源码下载下来之后，创建build文件夹，并进入，打开cmd，输入以下的命名即可

cmake -D WITH_IPP=OFF -D BUILD_opencv_python3=YES -D PYTHON_DEFAULT_EXECUTABLE=/home/lqs/anaconda3/bin/python3.7 -D BUILD_opencv_python3=ON -D BUILD_opencv_python2=OFF -D PYTHON3_EXECUTABLE=/home/lqs/anaconda3/bin/python3 -D PYTHON3_INCLUDE_DIR=/home/lqs/anaconda3/include/python3.7m -D PYTHON3_INCLUDE_PATH=/home/lqs/anaconda3/include/python3.7m -D PYTHON3_LIBRARY=/home/lqs/anaconda3/lib/libpython3.7m.so.1.0 -D PYTHON3_NUMPY_INCLUDE_DIRS=/home/lqs/anaconda3/lib/python3.7/site-packages/numpy/core/include -D PYTHON3_PACKAGES_PATH=/home/lqs/anaconda3/lib/python3.7/site-packages -D HAVE_opencv_python3=ON -D OPENCV_ENABLE_MEMORY_SANITIZER=ON -D WITH_QT=OFF -D ENABLE_CXX11=ON -D WITH_CUDA=OFF -D FFMPEG_INCLUDE_DIR=/usr/local/ffmpeg/include -D FFMPEG_LIB_DIR=/usr/local/ffmpeg/lib -D ENABLE_PRECOMPILED_HEADERS=OFF ..

cp /home/lqs/Downloads/opencv-3.4.0/build/lib/python3/* /home/lqs/anaconda3/lib/python3.7/site-packages/

cmake \
-D WITH_IPP=OFF\
-D PYTHON_DEFAULT_EXECUTABLE=$(python -c "import sys; print(sys.executable)")\
-D BUILD_opencv_python3=ON\
-D BUILD_opencv_python2=ON\
-D BUILD_opencv_java=OFF\
-D PYTHON3_EXECUTABLE=$(which python3)\
-D PYTHON3_INCLUDE_DIR=/home/lqs/anaconda3/include/python3.7m\
-D PYTHON3_INCLUDE_PATH=/home/lqs/anaconda3/include/python3.7m\
-D PYTHON3_LIBRARY=/home/lqs/anaconda3/lib/libpython3.7m.so.1.0\
-D PYTHON3_NUMPY_INCLUDE_DIRS=/home/lqs/anaconda3/lib/python3.7/site-packages/numpy/core/include\
-D PYTHON3_NUMPY_PATH=/home/lqs/anaconda3/lib/python3.7/site-packages\
-D OPENCV_ENABLE_MEMORY_SANITIZER=ON\
-D WITH_QT=OFF\
-D ENABLE_CXX11=ON\
-D WITH_CUDA=OFF\
-D FFMPEG_INCLUDE_DIR=/usr/local/ffmpeg/include\
-D FFMPEG_LIB_DIR=/usr/local/ffmpeg/lib\
-D ENABLE_PRECOMPILED_HE ..

然后在通过

make -j8

如果报错了，则你可以将你修改的源代码的文件，替换了/usr/include/x86_64-linux-gnu下的文件，也就是说直接命令行copy /usr/local/ffmpeg/include下的全部文件 到/usr/include/x86_64-linux-gnu。

安装之后目录介绍：bin 执行文件目录，lib 静态，动态链接库目录，include 编程用到的头文件

卸载opencv

• 找到当初安装opencv建立的build目录，进入目录执行卸载操作

cd cd /home/cheng/somelib/opencv-3.4.10/build/
sudo make uninstall
cd ..
rm -rf build

• 删除相关项

sudo -s
rm -rf /usr/local/include/opencv2 
rm -rf /usr/local/include/opencv 
rm -rf /usr/include/opencv 
rm -rf /usr/include/opencv2 
rm -rf /usr/local/share/opencv 
rm -rf /usr/local/share/OpenCV 
rm -rf /usr/share/opencv 
rm -rf /usr/share/OpenCV 
rm -rf /usr/local/bin/opencv*
rm -rf /usr/local/lib/libopencv*

• 查找是否还有剩余

cd /usr
find . -name "*opencv*" | xargs sudo rm -rf

• 检查是否删除完

pkg-config --modversion opencv

报错情况

• 1./sbin/ldconfig.real: /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_ops_train.so.8 不是符号链接

解决办法：建立软链接

sudo ln -sf /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_adv_train.so.8.0.1 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
sudo ln -sf /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8.0.1 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
sudo ln -sf /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8.0.1 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
sudo ln -sf /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8.0.1 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8
sudo ln -sf /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_ops_train.so.8.0.1 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
sudo ln -sf /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8.0.1 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8

• 2.cmake: /usr/local/lib/libcurl.so.4: no version information available (required by /usr/bin/cmake)错误
  解决办法：
  sudo rm -rf /usr/local/lib/libcurl.so.4
ln -s /usr/lib/x86_64-linux-gnu/libcurl.so.4.5.0 /usr/local/lib/libcurl.so.4
• 3 libavcodec/libx264.c:282:9: error: ‘x264_bit_depth’ undeclared (first use in this function); did you mean ‘x264_picture_t’?
  解决办法：打开libx264.c，找到相应的代码行，将“x264_bit_depth”改成“X264_BIT_DEPTH”即可

附录

• opencv python 编译_opencv3.4.2编译到annaconda的Python环境
• Anaconda Python3.6 OpenCV4.1.0 Ubuntu 16.04源码编译
• opencv安装并支持python2 python3
• 编译OpenCV4 + Python3 笔记
• (亲测可行)ubuntu16.04+Opencv3.4.3+opencv_contrib3.4.3安装编译全过程
• 查看so库的方法
• [debug]-ubuntu下opencv无法读取视频且capture.isOpened()测试一直为false