1. 程式人生 > >Ubuntu16.04系統中CUDA9+MKL+MATLAB2015b+Anaconda3-5.1.0+OpenCV3.4.0+TensorFlow_GPU-1.6+Keras+caffe安裝

Ubuntu16.04系統中CUDA9+MKL+MATLAB2015b+Anaconda3-5.1.0+OpenCV3.4.0+TensorFlow_GPU-1.6+Keras+caffe安裝

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D WITH_OPENMP=ON -D WITH_CUDA=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D BUILD_TESTS=OFF -D PYTHON_EXECUTABLE=/home/zili/anaconda3/bin/python3 -D PYTHON_INCLUDE_DIR=/home/zili/anaconda3/include/python3.6m -D PYTHON_LIBRARY=/home/zili/anaconda3/lib/libpython3.6m.so -D PYTHON_NUMPY_INCLUDE_DIRS=/home/zili/anaconda3/lib/python3.6/site-packages/numpy/core/include -D INSTALL_C_EXAMPLES=OFF -D INSTALL_PYTHON_EXAMPLES=OFF -D ENABLE_AVX=ON -D WITH_OPENCL=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D ENABLE_FAST_MATH=ON -D CUDA_FAST_MATH=ON -D CUDA_NVCC_FLAGS="-D_FORCE_INLINES" -D WITH_CUBLAS=ON -D BUILD_OPENCV_PYTHON3=ON -D OPENCV_ENABLE_NONFREE=ON -D BUILD_SHARED_LIBS=ON ..