cmake -DCMAKE_INSTALL_PREFIX=/home/angie/Programs/OpenCV/install -DCMAKE_BUILD_TYPE=RELEASE -DWITH_CUDA=ON -DWITH_CUDNN=ON -DOPENCV_DNN_CUDA=ON -DCUDA_ARCH_BIN=8.6 -DWITH_CUBLAS=1 -DCUDA_FAST_MATH=1 -DWITH_V4L=ON -DWITH_QT=ON -DWITH_OPENGL=ON -DWITH_TBB=ON -DWITH_GTK=...
然后在opencv文件夹里建立build文件夹,如下图所示: 接下来打开终端。进入build文件夹,然后安装环境依赖: 4.5的库 1 2 3 4 5 6 sudo apt-getinstall build-essential sudo apt-getinstall cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev sudo apt-getinstall python-dev p...
) else() set(__cuda_arch_bin "${_nvcc_out}") string(# 参考 + https://davidstutz.de/compiling-opencv-2-4-x-with-cuda-9/ + https://medium.com/@mengjiunchiou/build-opencv-caffe-with-cuda-9-0-on-ubuntu-16-04-b2794a41612d + https://en.wikipedia.org/wiki/CUDA#GPUs_supportedREPL...
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_TBB=ON -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -D WITH_V4L=ON -D WITH_LIBV4L=ON -D WITH_CUDA=ON -D WITH_CUDNN=ON -D WITH_CUDEV=ON -D WITH_GTK_2_X=...
For OpenCV to use CUDA acceleration on the NVIDIA Jetson TX1 running L4T 28.2 (JetPack 3.2), you will need to build OpenCV from source. Looky here: Background With the latest release of L4T, 28.2, OpenCV version 3.3 may be installed through the JetPack installer. At the time of the L4T...
BUILD_TESTS=OFF,BUILD_PERF_TESTS=OFF:关闭生成后的自我 TEST ,大多数情况没有必要,可大辐缩短生成时间。但如果怀疑生成的 OpenCV 库有问题,可以进行自测。 OPENCV_GENERATE_PKGCONFIG=ON:建议开启,便于 C++ 程序通过 pkg-config 来引用 OpenCV 库。 WITH_CUDA=ON,ENABLE_FAST_MATH=ON,CUDA_FAST_MATH=ON,WITH...
在Where is the source code:选择opencv目录位置,在Where to build the binaries:选择build位置如下图所示: 选择完毕点击Configure,然后会弹出编译器选项,选择Unix Makefiles即可。 配置完毕如下图所示: 根据个人需要使用用cuda 如果要用cuda WITH cuda 必选 ...
(1) 使用cuda版本的opencv caffe网络的第一次创建非常耗时,后面的网络创建则非常快。 (2) opencv的gpu代码比cpu代码慢,初次启动多耗费20s左右。(事实是由于编译的caffe和GPU计算力不匹配导致的) reasons Your problem is that CUDA needs to initialize! And it will generally takes between serveral seconds ...
I am also getting the same compilation error when building OpenCV from source on Windows 10 with Visual Studio 2015. C2610 and C2535 error for file tuple in the opencv_perf_cudawarping project. C2382 error for file cuda_perf.hpp in the opencv_perf_cudawarping project. ...
System information (version) OpenCV => 4.5.3 Operating System / Platform => Ubuntu 20.04LTS Compiler => Cmake Detailed description While making the OpenCV, I am using CUDA 11.2 in order to build it. However, with CUDA the installation ta...