C++ 使用C+在GPU上读取视频+；和库达
大家好，谢谢你们的回答 首先，正如@zkoza和@TALONMES所指出的，捷森AGX Xavier与ARCH 7.2兼容，而不是与捷森Nano案例中使用的ARCH 5.3兼容 至@Yunus Temurlenk=>我的代码中的fname仅为myvideo.MOV，因为我在电影的同一曲目库中执行代码，我还尝试使用从互联网样本中获取的.mp4文件，导致了相同的错误。 是的，正如你指出的，我的NVCUVID在cmake命令后没有打开，正如你在我的原始帖子中看到的，CUDA对应的行是C++ 使用C+在GPU上读取视频+；和库达,c++,opencv,cmake,cuda,nvidia,C++,Opencv,Cmake,Cuda,Nvidia,大家好，谢谢你们的回答 首先，正如@zkoza和@TALONMES所指出的，捷森AGX Xavier与ARCH 7.2兼容，而不是与捷森Nano案例中使用的ARCH 5.3兼容 至@Yunus Temurlenk=>我的代码中的fname仅为myvideo.MOV，因为我在电影的同一曲目库中执行代码，我还尝试使用从互联网样本中获取的.mp4文件，导致了相同的错误。 是的，正如你指出的，我的NVCUVID在cmake命令后没有打开，正如你在我的原始帖子中看到的，CUDA对应的行是 NVIDIA
NVIDIA CUDA: YES (ver 10.2, CUFFT CUBLAS FAST_MATH)
NVIDIA CUDA: YES (ver 10.2, CUFFT NVCUVID CUBLAS FAST_MATH)
g++ video_reader.cpp -o vr.exe `pkg-config --cflags --libs opencv4`
video_reader.cpp:3:10: fatal error: opencv2/opencv_modules.hpp: No such file or directory
#include "opencv2/opencv_modules.hpp"
^~~~~~~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.
General configuration for OpenCV 4.5.1 =====================================
Version control: unknown
Extra modules:
Location (extra): /home/dronemaitre/Documents/opencv_cpp/opencv_contrib/modules
Version control (extra): unknown
Platform:
Timestamp: 2021-01-18T10:12:44Z
Host: Linux 4.9.140-tegra aarch64
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CMake generator: Unix Makefiles
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功能在当前版本或平台中被禁用
这意味着两件事之一：
尽管您的“最佳意图”设置了一系列CMake标志，但您的OpenCV是在没有CUDA支持的情况下构建的。这是很有可能的，因为有时会忽略-D
值以支持检测到的内容，或者在没有某些附加设置等的情况下无法应用。您应该尝试在生成目录中使用ccmake
，看看会出现什么
构建是支持CUDA的，但OpenCV代码找不到CUDA驱动程序、CUDA运行库或可用的响应GPU等。我不是OpenCV专家，但假设它提供了一些日志记录功能，我会检查一下@user2986898补充说，您可以使用cv:：getBuildInformation（）
函数在运行时获取构建信息
为OpenCV构建测试或示例并检查这些测试或示例是否有效也可能很有用。（这个答案只是推测性的；如果您发布有关CMake构建日志的信息，我将（可能）对其进行编辑。）
OpenCV告诉您它没有cuda，即cuda功能在当前版本或平台中被禁用
这意味着两件事之一：
尽管您的“最佳意图”设置了一系列CMake标志，但您的OpenCV是在没有CUDA支持的情况下构建的。这是很有可能的，因为有时会忽略-D
值以支持检测到的内容，或者在没有某些附加设置等的情况下无法应用。您应该尝试在生成目录中使用ccmake
，看看会出现什么
构建是支持CUDA的，但OpenCV代码找不到CUDA驱动程序、CUDA运行库或可用的响应GPU等。我不是OpenCV专家，但假设它提供了一些日志记录功能，我会检查一下@user2986898补充说，您可以使用cv:：getBuildInformation（）
函数在运行时获取构建信息
为OpenCV构建测试或示例并检查这些测试或示例是否有效也可能很有用。我花了两个多星期/几十个小时才最终使其有效（我的配置类似）。以下是我所做的（我希望我记得一切）：
我的系统：
i7-4790+GTX1050Ti（驱动程序版本460.39）+CUDA 10.2+OpenCV 4.5.1+ffmpeg上的Ubuntu 18.04
OpenCV和ffmpeg是在CUDA支持下构建的
OpenCV构建选项：
ffmpeg-我使用了许多关于使用CUDA支持构建ffmepg的广泛可用教程之一，我的构建如下所示：
<> LI>编译OpenCV4.5.1虽然成功，但使用简单的<代码> CV::CUDACODEC::CurATEVIDERADEADER（）/CUT>的C++样本不起作用，错误为
我下载了NVIDIA的视频编解码器SDK 10.0.26，并从CUDA的include dir（在我的例子中是/usr/local/CUDA-10.2/targets/x86\u 64-linux/include
）和/usr/inlcude>）的/Interface中复制了NVIDIA的视频编解码器和SDK。可能没有必要将所有这些文件同时放在这两个位置
重新编译OpenCV。设置这两个选项至关重要：
没有它们，OpenCV就没有安装NVCUVID模块。
编译失败，出现错误，它抱怨文件opencv\u contrib-4.5.1/modules/cudacodec/src/video\u decoder.cpp
中未声明cudaVideoCodec\u AV1
或类似内容。
由于我不打算使用AV1，我只是删除了这一行。在这之后，汇编终于成功了
是时候检查CUDA视频阅读器样本了——解码H264成功了！但HEVC没有——错误未知
cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_C_COMPILER=/usr/bin/gcc-7 \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D INSTALL_C_EXAMPLES=ON \
-D WITH_TBB=ON \
-D WITH_CUDA=ON \
-D WITH_NVCUVID=ON \
-D WITH_NVCUVENC=OFF \
-D BUILD_opencv_cudacodec=ON \
-D WITH_CUDNN=OFF \
-D OPENCV_DNN_CUDA=OFF \
-D CUDA_ARCH_BIN=6.1 \
-D ENABLE_FAST_MATH=1 \
-D CUDA_FAST_MATH=1 \
-D WITH_CUBLAS=1 \
-D WITH_V4L=ON \
-D WITH_QT=ON \
-D WITH_OPENGL=ON \
-D WITH_GSTREAMER=ON \
-D OPENCV_GENERATE_PKGCONFIG=ON \
-D OPENCV_PC_FILE_NAME=opencv4.pc \
-D OPENCV_ENABLE_NONFREE=ON \
-D OPENCV_PYTHON3_INSTALL_PATH=/usr/lib/python3.6/site-packages \
-D OPENCV_EXTRA_MODULES_PATH=/path/to/opencv_contrib-4.5.1/modules \
-D PYTHON_EXECUTABLE="/usr/bin/python2" \
-D PYTHON_DEFAULT_EXECUTABLE="/usr/bin/python3" \
-D PYTHON3_EXECUTABLE="/usr/bin/python3" \
-D BUILD_EXAMPLES=ON ..
ffmpeg version N-101174-g14dc28e969 Copyright (c) 2000-2021 the FFmpeg developers
built with gcc 7 (Ubuntu 7.5.0-3ubuntu1~18.04)
configuration: --prefix=/home/lg/ffmpeg_build2 --pkg-config-flags=--static --extra-cflags=-I/home/lg/ffmpeg_build2/include --extra-ldflags=-L/home/lg/ffmpeg_build2/lib --extra-libs='-lpthread -lm' --bindir=/home/lg/bin2 --enable-cuda --enable-cuvid --enable-libnpp --extra-cflags=-I/usr/local/cuda/include/ --extra-ldflags=-L/usr/local/cuda/lib64/ --enable-gpl --enable-opencl --enable-opengl --enable-libass --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libvorbis --enable-libfdk-aac --enable-libvpx --enable-libx264 --enable-libx265 --enable-nvenc --enable-vaapi --enable-vdpau --enable-nonfree --cpu=native --extra-cflags='-march=native'
The function/feature is not implemented) The called functionality is disabled for current build or platform in function 'throw_no_cuda'
-D WITH_NVCUVID=ON \
-D BUILD_opencv_cudacodec=ON \
case CV_FOURCC_MACRO('H', '2', '6', '5'): // fallthru
case CV_FOURCC_MACRO('h', '2', '6', '5'): // fallthru
case CV_FOURCC_MACRO('h', 'e', 'v', 'c'): return HEVC;
case CV_FOURCC_MACRO('H', '2', '6', '5'): // fallthru
case CV_FOURCC_MACRO('h', '2', '6', '5'): // fallthru
case CV_FOURCC_MACRO('h', 'e', 'v', '1'): // fallthru
case CV_FOURCC_MACRO('h', 'v', 'c', '1'): // fallthru
case CV_FOURCC_MACRO('h', 'e', 'v', 'c'): return HEVC;