`为opencv python（PEP 517）构建控制盘…-`长生不老

当我跑的时候

!pip install imgaug==0.4.0

以下是输出

Collecting imgaug==0.4.0
  Using cached https://files.pythonhosted.org/packages/66/b1/af3142c4a85cba6da9f4ebb5ff4e21e2616309552caca5e8acefe9840622/imgaug-0.4.0-py2.py3-none-any.whl
Requirement already satisfied: Pillow in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from imgaug==0.4.0) (5.4.1)
Requirement already satisfied: numpy>=1.15 in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from imgaug==0.4.0) (1.15.4)
Collecting Shapely (from imgaug==0.4.0)
  Using cached https://files.pythonhosted.org/packages/9d/18/557d4f55453fe00f59807b111cc7b39ce53594e13ada88e16738fb4ff7fb/Shapely-1.7.1-cp36-cp36m-manylinux1_x86_64.whl
Requirement already satisfied: six in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from imgaug==0.4.0) (1.12.0)
Requirement already satisfied: matplotlib in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from imgaug==0.4.0) (3.0.2)
Collecting scikit-image>=0.14.2 (from imgaug==0.4.0)
  Using cached https://files.pythonhosted.org/packages/0e/ba/53e1bfbdfd0f94514d71502e3acea494a8b4b57c457adbc333ef386485da/scikit_image-0.17.2-cp36-cp36m-manylinux1_x86_64.whl
Requirement already satisfied: imageio in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from imgaug==0.4.0) (2.4.1)
Collecting opencv-python (from imgaug==0.4.0)
  Using cached https://files.pythonhosted.org/packages/77/f5/49f034f8d109efcf9b7e98fbc051878b83b2f02a1c73f92bbd37f317288e/opencv-python-4.4.0.42.tar.gz
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
    Preparing wheel metadata ... done
Requirement already satisfied: scipy in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from imgaug==0.4.0) (1.2.0)
Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from matplotlib->imgaug==0.4.0) (0.10.0)
Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from matplotlib->imgaug==0.4.0) (1.0.1)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from matplotlib->imgaug==0.4.0) (2.3.1)
Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from matplotlib->imgaug==0.4.0) (2.7.5)
Collecting tifffile>=2019.7.26 (from scikit-image>=0.14.2->imgaug==0.4.0)
  Using cached https://files.pythonhosted.org/packages/3c/13/4f873f6b167c2e77288ce8db1c9f742d1e0e1463644e2df4e3bd3c40a422/tifffile-2020.8.25-py3-none-any.whl
Requirement already satisfied: networkx>=2.0 in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from scikit-image>=0.14.2->imgaug==0.4.0) (2.2)
Collecting PyWavelets>=1.1.1 (from scikit-image>=0.14.2->imgaug==0.4.0)
  Using cached https://files.pythonhosted.org/packages/59/bb/d2b85265ec9fa3c1922210c9393d4cdf7075cc87cce6fe671d7455f80fbc/PyWavelets-1.1.1-cp36-cp36m-manylinux1_x86_64.whl
Requirement already satisfied: setuptools in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib->imgaug==0.4.0) (40.8.0)
Requirement already satisfied: decorator>=4.3.0 in /opt/conda/envs/Python-3.6/lib/python3.6/site-packages (from networkx>=2.0->scikit-image>=0.14.2->imgaug==0.4.0) (4.3.2)
Building wheels for collected packages: opencv-python
  Building wheel for opencv-python (PEP 517) ... -

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但是为opencv python构建轮子（PEP 517）-永远运行，如何解决此问题？

通过先使用显式安装openCV Python来解决

！pip安装opencv python==4.2.0.34

在运行

之前！pip安装仪表

---

因为旧版本的opencv python不需要轮转编译。

尝试使用旧版本的python。例如，python3.7我遇到了同样的问题，一切都解决了：

pip install --upgrade pip setuptools wheel

此解决方案：

pip安装--升级pip设置工具控制盘

---

为我工作过

什么机器，你对“永远”的定义是什么？我在“pip安装opencv python”中遇到过这种情况，最新版本似乎是opencv-python-4.4.0.44它不会永远运行。OpenCV是一个非常重的C++库，通常需要10分钟的时间来编译它，即使是在现代CPU上。您可以通过将您的pip升级到支持现代

manylinux2014

预制控制盘的版本来避免这种情况：

pip安装--升级pip

只需喝杯咖啡，在我的

i5-4210U@1.70GHz

和

6GB

中需要20分钟，新版本也不需要编译。您只需在安装

opencvpython

之前升级您的

pip

：

pip安装--升级pip

可能运行

pip安装--升级pip

在

pip安装之后--升级pip安装工具轮子

也是一个很好的做法；解决任何冲突。我两个都做了，问题就解决了。你的答案看起来和现有的答案一样