所以我正在安装最新版本的 OpenCV 3.2.0,它只是停留在 99%(即使我将 nproc 传递给 -j 因为它花了很长时间而且我的 nproc 输出是 24)我想知道是否有解决方案因为我不想阻止它。我没有收到任何错误:
When Built target opencv_dnn, i get this : fatal error: 'opencv2/highgui.hpp' file not foundContributor berak commented Apr 7, 2023 4.3.0 is very old, and can no more be fixed however, it should be safe to just remove the offending include Member dkurt commented May 11, 2023 ...
System information (version) OpenCV => 4.5.5 Operating System / Platform => Ubuntu 20.04 64bit Compiler => gcc 9.4.0 cuda 11.2 cudnn 8.2.1 cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_PYTHON_EXAMPLES=ON...
When I set backend to OPENCV (target CPU of course) it works fine. Here is an edited version of the code (so the net.forward isn't line 66 here) and I uncomment different backend/target lines when running: # import the necessary packages import numpy as np import ...
When I set backend to OPENCV (target CPU of course) it works fine. Here is an edited version of the code (so the net.forward isn't line 66 here) and I uncomment different backend/target lines when running: # import the necessary packages import numpy as np i...
While I compile opencv, there is following error (please read the error at the end of the post). The only change I made is to enable ffmpeg by modifying "-DWITH_FFMPEG=1" in BUILD.SH. $conda build conda/ BUILD START: opencv3-3.1.0-py27_0...
target opencv_objdetect [ 37%] Building CXX object modules/superres/CMakeFiles/opencv_superres.dir/src/btv_l1.cpp.o [ 37%] Building CXX object modules/videostab/CMakeFiles/opencv_videostab.dir/src/deblurring.cpp.o [ 37%] Building CXX object modules/objdetect/CMakeFiles/opencv_objdetect.dir/...
When I set backend to OPENCV (target CPU of course) it works fine. Here is an edited version of the code (so the net.forward isn't line 66 here) and I uncomment different backend/target lines when running: # import the necessary packages import numpy as...
installed opencv with cuda via cmake run an inference (moblinetv1) using dnn cvNet.setPreferableBackend(cv2.dnn.DNN_BACKEND_CUDA) cvNet.setPreferableTarget(cv2.dnn.DNN_TARGET_CUDA) cvOut = cvNet.forward() got a warning: dnn.cpp (1314) cv::dnn::dnn4_v20191024::Net::Impl::setUpNet ...