[문제해결] OpenCV 4.5.3 리눅스 빌드 중 cmake 오류_No source or binary directory provided. Both will be assumed to be the same as the current working directory,but note that this warning will become a fatal error in future CMake releases.

 

문제

Linux 환경에 OpenCV 설치 중, 다운로드, 관련 패키지 설치 등을 끝마치고 

cmake 빌드 시 오류 발생

타 블로그와 같이 아래와 같이 입력했으나, 

오류 발생

cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D OPENCV_GENERATE_PKGCONFIG=ON \
-D OPENCV_ENABLE_NONFREE=ON \
-D OPENCV_EXTRA_MODULES_PATH=~/opencv-sources/opencv453/opencv_contrib-4.5.3/modules \
-D INSTALL_C_EXAMPLES=ON \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D BUILD_EXAMPLES=ON \
-D BUILD_DOCS=OFF \
-D BUILD_SHARED_LIBS=ON \
-D BUILD_opencv_python2=OFF \
-D BUILD_opencv_python3=ON \
-D BUILD_NEW_PYTHON_SUPPORT=ON \
-D WITH_CUDA=ON \
-D WITH_CUBLAS=ON \
-D WITH_CUDNN=ON \
-D CUDA_FAST_MATH=1 \
-D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-11.4 \
-D OPENCV_DNN_CUDA=ON \
-D CUDA_ARCH_BIN=8.6 \
-D CUDA_ARCH_PTX=8.6 \
-D CUDNN_VERSION=8.2 \
-D CUDNN_INCLUDE_DIR=/usr/local/cuda-11.4/include \
-D CUDNN_LIBRARY=/usr/local/cuda-11.4/lib64/libcudnn.so.8.2.2 \
-D WITH_VTK=ON \
-D WITH_OPENCL=ON \
-D OPENCV_SKIP_PYTHON_LOADER=ON \
-D PYTHON_EXECUTABLE=~/anaconda3/bin/python3 \
-D PYTHON3_INCLUDE_DIR=~/anaconda3/include/python3.8 \
-D PYTHON3_NUMPY_INCLUDE_DIRS=~/anaconda3/lib/python3.8/site-packages/numpy/core/include \
-D PYTHON3_PACKAGES_PATH=~/anaconda3/lib/python3.8/site-packages \
-D PYTHON3_LIBRARY=~/anaconda3/lib/libpython3.8.so \
-D PYTHON_LIBRARIES=~/anaconda3/lib/python3.8 ..

아래와 같은 오류 발생함.

No source or binary directory provided. 
Both will be assumed to be the same as the current working directory,
but note that this warning will become a fatal error in future CMake releases.

 

해결

의외로 간단히 해결함.

cmake 뒤에 역슬래쉬 하나를 붙여줌.

각 줄 역슬래시 사이 엔터 없애줌.

cmake \ -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D OPENCV_GENERATE_PKGCONFIG=ON \
-D OPENCV_ENABLE_NONFREE=ON \
-D OPENCV_EXTRA_MODULES_PATH=~/opencv-sources/opencv453/opencv_contrib-4.5.3/modules \
-D INSTALL_C_EXAMPLES=ON \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D BUILD_EXAMPLES=ON \
-D BUILD_DOCS=OFF \
-D BUILD_SHARED_LIBS=ON \
-D BUILD_opencv_python2=OFF \
-D BUILD_opencv_python3=ON \
-D BUILD_NEW_PYTHON_SUPPORT=ON \
-D WITH_CUDA=ON \
-D WITH_CUBLAS=ON \
-D WITH_CUDNN=ON \
-D CUDA_FAST_MATH=1 \
-D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-11.4 \
-D OPENCV_DNN_CUDA=ON \
-D CUDA_ARCH_BIN=8.6 \
-D CUDA_ARCH_PTX=8.6 \
-D CUDNN_VERSION=8.2 \
-D CUDNN_INCLUDE_DIR=/usr/local/cuda-11.4/include \
-D CUDNN_LIBRARY=/usr/local/cuda-11.4/lib64/libcudnn.so.8.2.2 \
-D WITH_VTK=ON \
-D WITH_OPENCL=ON \
-D OPENCV_SKIP_PYTHON_LOADER=ON \
-D PYTHON_EXECUTABLE=~/anaconda3/bin/python3 \
-D PYTHON3_INCLUDE_DIR=~/anaconda3/include/python3.8 \
-D PYTHON3_NUMPY_INCLUDE_DIRS=~/anaconda3/lib/python3.8/site-packages/numpy/core/include \
-D PYTHON3_PACKAGES_PATH=~/anaconda3/lib/python3.8/site-packages \
-D PYTHON3_LIBRARY=~/anaconda3/lib/libpython3.8.so \
-D PYTHON_LIBRARIES=~/anaconda3/lib/python3.8 ..

 

 

그 외

다른 OpenCV 설치 글들을 참고하여 변수들을 나의 환경에 맞게 잘 맞춰 주어야 한다.

CUDA_ARCH_BIN

CUDA_ARCH_PTX  

변수는 아래에서 GPU 모델을 살펴보고 입력하면 된다.

https://developer.nvidia.com/cuda-gpus

CUDA GPUs

감사합니다.