1 问题背景
环境:
- Ubuntu20.04
- Python3.6
现象:终端输出类似下面的命令,并卡住不动
Building wheel for opencv-python (PEP 517) ...
2 问题探索
首先,OpenCV
较旧的Python版本不需要进行滚轮编译,因此造成编译在
Building wheel for opencv-python (PEP 517)
处停止。为了防止因为pip版本较旧引起干扰,首先运行
pip install --upgrade pip
更新pip
版本,接着再次安装
pip install opencv-python -i https://pypi.tuna.tsinghua.edu.cn/simple
接着大概率能解决Building wheel for opencv-python (PEP 517)
,但是遇到新的现象,终端运行到下面指令时卡住
building wheel for opencv(pyproject.toml) ...
我们希望看看后端到底是什么情况,用--verbose
运行安装命令跟踪安装过程,也可以检查安装的百分比
[ 48%] Building CXX object modules/dnn/CMakeFiles/opencv_dnn.dir/src/layers/fast_convolution/fast_convolution.avx2.cpp.o
[ 48%] Building CXX object modules/dnn/CMakeFiles/opencv_dnn.dir/layers/layers_common.avx2.cpp.o
[ 48%] Building CXX object modules/dnn/CMakeFiles/opencv_dnn.dir/int8layers/layers_common.avx2.cpp.o
[ 48%] Building CXX object modules/dnn/CMakeFiles/opencv_dnn.dir/layers/layers_common.avx512_skx.cpp.o
[ 48%] Building CXX object modules/dnn/CMakeFiles/opencv_dnn.dir/int8layers/layers_common.avx512_skx.cpp.o
[ 48%] Linking CXX static library ../../lib/libopencv_dnn.a
[ 48%] Built target opencv_dnn
[ 48%] Processing OpenCL kernels (features2d)
[ 49%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/affine_feature.cpp.o
[ 49%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/agast.cpp.o
[ 49%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/agast_score.cpp.o
[ 49%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/akaze.cpp.o
[ 49%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/bagofwords.cpp.o
[ 49%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/blobdetector.cpp.o
[ 49%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/brisk.cpp.o
[ 49%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/draw.cpp.o
[ 49%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/dynamic.cpp.o
[ 50%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/evaluation.cpp.o
[ 50%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/fast.cpp.o
[ 50%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/fast_score.cpp.o
[ 50%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/feature2d.cpp.o
[ 50%] Building CXX object modules/features2d/CMakeFiles/opencv_features2d.dir/src/gftt.cpp.o
发现后端确实一直在运行,由于OpenCV
体积较大,编译时间较长,导致不显示安装进度的化,前端出现假死现象,静静等待即可。
3 问题解决
更新pip
版本
pip install --upgrade pip
显示安装进程
pip install opencv-python -i https://pypi.tuna.tsinghua.edu.cn/simple --verbose
等待安装完成
文章最后,推荐一个研究深度学习都会碰到的bug解析
【已解决】探究CUDA out of memory背后原因,如何释放GPU显存?
4 告别Bug
本文收录于《告别Bug》专栏,该专栏记录人工智能领域中各类Bug以备复查,文章形式为:问题背景 + 问题探索 + 问题解决,订阅专栏+关注博主后可通过下方名片联系我进入AI技术交流群帮忙解决问题文章来源:https://www.toymoban.com/news/detail-778915.html
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