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【已解决】安装cv2时Building wheel for opencv-python终端卡死

2024年08月01日 Python 我要评论
本文探究安装cv2时Building wheel for opencv-python终端卡死的原因并予以解决

1 问题背景

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

在这里插入图片描述

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?

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