我在Ubuntu 16.04上使用opencv3.0 +和CUDA安装Caffe时遇到了问题
我还在我的Makefile中添加了opencv_imgcodescs和opencv_videoio,但是没有解决问题。
我已经检查了Caffe用户组的几个答案,但没有答案可以解决我的问题。
我的错误讯息:
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
AR -o .build_release/lib/libcaffe.a
LD -o .build_release/lib/libcaffe.so.1.0.0-rc3
/usr/bin/ld: cannot find -lopencv_imgcodecs
/usr/bin/ld: cannot find -lopencv_videoio
collect2: error: ld returned 1 exit status
Makefile:566: recipe for target '.build_release/lib/libcaffe.so.1.0.0-rc3' failed
make: *** [.build_release/lib/libcaffe.so.1.0.0-rc3] Error 1
我在Makefile中的设置
LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5 opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs opencv_videoio
我的imgcodecs和videoio在〜/ miniconda2 / envs / frcnn / include / opencv2 /
下(fastrcnn) pohsuan@pohsuan-Predator-G9-592:~/miniconda2/envs/fastrcnn/include/opencv2$ ls
aruco dnn.hpp imgcodecs photo structured_light videostab
aruco.hpp dpm.hpp imgcodecs.hpp photo.hpp structured_light.hpp videostab.hpp
bgsegm.hpp face imgproc plot.hpp superres xfeatures2d
bioinspired face.hpp imgproc.hpp reg superres.hpp xfeatures2d.hpp
bioinspired.hpp features2d line_descriptor rgbd surface_matching ximgproc
calib3d features2d.hpp line_descriptor.hpp rgbd.hpp surface_matching.hpp ximgproc.hpp
calib3d.hpp flann ml saliency text xobjdetect.hpp
ccalib flann.hpp ml.hpp saliency.hpp text.hpp xphoto
ccalib.hpp fuzzy objdetect shape tracking xphoto.hpp
core fuzzy.hpp objdetect.hpp shape.hpp tracking.hpp
core.hpp hdf opencv.hpp stereo video
cvconfig.h hdf.hpp opencv_modules.hpp stereo.hpp video.hpp
datasets highgui optflow stitching videoio
dnn highgui.hpp optflow.hpp stitching.hpp videoio.hpp
我修改了关于我的Miniconda虚拟环境的Makfile.config:
ANACONDA_HOME := $(HOME)/miniconda2
PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
$(ANACONDA_HOME)/include/python2.7 \
$(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial /home/pohsuan/miniconda2/envs/fastrcnn/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial /home/pohsuan/miniconda2/fastrcnn/lib
答案 0 :(得分:1)
也许取消评论
OPENCV_VERSION := 3
在第21行,如果你还没有。 更糟糕的情况是,卸载OpenCV,并安装少于3的版本。
我为此苦苦挣扎,最后决定使用OpenCV 2.4.9.1,并且它有效。