Installation guide for opencv 4.5.4 with cuda 11.8 and cudnn on ubuntu
Here is a small guide to help you install opencv 4.5.4 with cuda 11.8 and cudnn for ubuntu linux. I made this guide because I had a lot of trouble at the beginning between the different versions of opencv and cuda. Now, I know how to do it and so I decided to share this with you.
This guide also works for other versions of opencv 4.5.x with cuda 11.8.
Beware, there are some compatibility issues between opencv 4.6 and cuda 12.x at this time.
Depending on your ubuntu version, the commands may differ slightly. I advise you to define an environment variable as follows:
ubuntu 18.04:
export OS=ubuntu1804ubuntu 20.04:
export OS=ubuntu2004ubuntu 22.04:
export OS=ubuntu2204cudnn version
export cudnn_version=8.8.1.*cuda version
export cuda_version=cuda11.8cuda architecture
##depending on your gpu compute cuda capability, for me it is 7.5
#see https://developer.nvidia.com/cuda-gpus
export cuda_arch=7.5$ sudo apt update
$ sudo apt upgrade
$ sudo apt install build-essential cmake pkg-config unzip yasm git checkinstall
$ sudo apt install libjpeg-dev libpng-dev libtiff-dev
$ sudo apt install libavcodec-dev libavformat-dev libswscale-dev libavresample-dev
$ sudo apt install libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
$ sudo apt install libxvidcore-dev x264 libx264-dev libfaac-dev libmp3lame-dev libtheora-dev
$ sudo apt install libfaac-dev libmp3lame-dev libvorbis-dev
$ sudo apt install libopencore-amrnb-dev libopencore-amrwb-dev
$ sudo apt-get install python3-dev python3-pip
$ sudo -H pip3 install -U pip numpy
$ sudo apt install python3-testresources
$ sudo apt-get install libtbb-dev
$ sudo apt-get install libatlas-base-dev gfortran
$ sudo apt-get install libprotobuf-dev protobuf-compiler
$ sudo apt-get install libgoogle-glog-dev libgflags-dev
#optional
$ sudo apt-get install libgtk-3-dev
#optional
$ sudo apt-get install libgphoto2-dev libeigen3-dev libhdf5-dev$ wget https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
$ sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
$ wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda-repo-${OS}-11-8-local_11.8.0-520.61.05-1_amd64.deb
$ sudo dpkg -i cuda-repo-${OS}-11-8-local_11.8.0-520.61.05-1_amd64.deb
$ sudo cp /var/cuda-repo-${OS}-11-8-local/cuda-*-keyring.gpg /usr/share/keyrings/
$ sudo apt-get update
$ sudo apt-get -y install cuda
Then run nvidia-smi to see something like:
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 520.61.05 Driver Version: 520.61.05 CUDA Version: 11.8 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... On | 00000000:01:00.0 Off | N/A |
| N/A 54C P3 20W / N/A | 5MiB / 6144MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1465 G /usr/lib/xorg/Xorg 4MiB |
+-----------------------------------------------------------------------------+
If not, you may need to reboot your computer.
$ wget https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
$ sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
$ sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/3bf863cc.pub
$ sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/ /"
$ sudo apt-get update
$ sudo apt-get install libcudnn8=${cudnn_version}-1+${cuda_version}
$ sudo apt-get install libcudnn8-dev=${cudnn_version}-1+${cuda_version}
$ cd ~
$ wget -O opencv.zip https://github.com/opencv/opencv/archive/refs/tags/4.5.4.zip
$ wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/refs/tags/4.5.4.zip
$ unzip opencv.zip && unzip opencv_contrib.zip
$ cd opencv-4.5.4
$ mkdir build && cd build
$ cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D WITH_TBB=ON \
-D ENABLE_FAST_MATH=1 \
-D CUDA_FAST_MATH=1 \
-D WITH_CUBLAS=1 \
-D WITH_CUDA=ON \
-D BUILD_opencv_cudacodec=OFF \
-D WITH_CUDNN=ON \
-D OPENCV_DNN_CUDA=ON \
-D CUDA_ARCH_BIN=${cuda_arch} \
-D WITH_V4L=ON \
-D WITH_QT=OFF \
-D WITH_OPENGL=ON \
-D WITH_GSTREAMER=ON \
-D OPENCV_GENERATE_PKGCONFIG=ON \
-D OPENCV_PC_FILE_NAME=opencv.pc \
-D OPENCV_ENABLE_NONFREE=ON \
-D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-4.5.4/modules \
-D INSTALL_PYTHON_EXAMPLES=OFF \
-D INSTALL_C_EXAMPLES=OFF \
-D BUILD_EXAMPLES=OFF ..
$ nproc
#regarding to your number of proc
$ make -j4
$ sudo make install
$ sudo /bin/bash -c 'echo "/usr/local/lib" >> /etc/ld.so.conf.d/opencv.conf'
$ sudo ldconfig
CC = g++
OPENCV = `pkg-config opencv --cflags --libs`
EXE = app
all: main clean
main: main.o
$(CC) -o ${EXE} main.o ${OPENCV}
main.o: main.cpp
$(CC) -c main.cpp ${OPENCV}
clean:
rm -Rf *.o