【发布时间】:2019-12-02 19:50:16
【问题描述】:
这个问题不同于“如何通过 Conda 安装 Python OpenCV?”因为这个问题是在 5 年前提出的,当时所有的软件包都有不同的版本。我尝试了该问题的所有答案,但都没有奏效。有关详细信息,请参阅问题文本。
现在,2019 年 7 月,如何使用 conda 安装 opencv?在新安装的 anaconda 上,我做了conda update conda(成功)然后尝试了以下操作:
(base) C:\Users\mlearning>python
Python 3.7.3 (default, Mar 27 2019, 17:13:21) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'cv2'
>>> import cv
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'cv'
(base) C:\Users\mlearning>conda install -c menpo opencv3
Collecting package metadata (repodata.json): done
Solving environment: (goes into infinite loop, after 10 minutes I pressed ^C)
(base) C:\Users\mlearning>conda install opencv
Collecting package metadata (repodata.json): done
Solving environment: failed
Initial quick solve with frozen env failed. Unfreezing env and trying again.
Solving environment: failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Package zipp conflicts for:
importlib_metadata -> zipp[version='>=0.3.2']
path.py -> importlib_metadata[version='>=0.5'] -> zipp[version='>=0.3.2']
anaconda==2019.03=py37_0 -> importlib_metadata==0.8=py37_0 -> zipp[version='>=0.3.2']
zipp
Package importlib_metadata conflicts for:
anaconda==2019.03=py37_0 -> importlib_metadata==0.8=py37_0
path.py -> importlib_metadata[version='>=0.5']
Package hdf5 conflicts for:
anaconda==2019.03=py37_0 -> h5py==2.9.0=py37h5e291fa_0 -> hdf5[version='>=1.10.4,<1.10.5.0a0']
hdf5
opencv -> hdf5[version='>=1.10.2,<1.10.3.0a0,>=1.8.18,<1.8.19.0a0,>=1.8.20,<1.9.0a0']
h5py -> hdf5[version='>=1.10.1,<1.10.2.0a0,>=1.10.2,<1.10.3.0a0,>=1.10.4,<1.10.5.0a0,>=1.8.18,<1.9.0a0']
pytables -> hdf5[version='>=1.10.1,<1.10.2.0a0,>=1.8.18,<1.8.19.0a0,>=1.8.18,<1.9.0a0']
Package mkl-service conflicts for:
mkl-service
anaconda==2019.03=py37_0 -> mkl-service==1.1.2=py37hb782905_5
(base) C:\Users\mlearning>conda install -c conda-forge opencv
Collecting package metadata (repodata.json): done
Solving environment: failed
Initial quick solve with frozen env failed. Unfreezing env and trying again.
Solving environment: failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Package hdf5 conflicts for:
anaconda==2019.03=py37_0 -> hdf5==1.10.4=h7ebc959_0
h5py -> hdf5[version='1.10.1,1.8.17|1.8.17.*,1.8.18|1.8.18.*,>=1.10.2,<1.10.3.0a0,>=1.10.3,<1.10.4.0a0,>=1.8.20,<1.9.0a0']
pytables -> hdf5[version='1.8.18|1.8.18.*,>=1.10.4,<1.10.5.0a0,>=1.8.18,<1.8.19.0a0,>=1.8.18,<1.9.0a0']
hdf5
Package mkl-service conflicts for:
mkl-service
Package importlib_metadata conflicts for:
importlib_metadata
path.py -> importlib_metadata[version='>=0.5']
【问题讨论】:
-
使用
conda install -c conda-forge opencv。或者更好的是,为它创建一个新的环境并让 Conda 解析最适合它的 Python 版本:conda create --name env_name -c conda-forge opencv -
@merv - 它不是那个问题的重复,因为我尝试了所有,我重复了那个问题的所有答案。它们都不起作用,这是我写的。
-
@merv "使用 conda install -c conda-forge opencv" - 它不起作用。在我的问题中,正是这个命令,以及它产生的诊断。请仔细阅读问题。
-
@merv 天哪,伙计。我只想说声谢谢。在过去的 12 个小时里,我确实花了 12 个小时试图解决一个小问题,这就是解决方法。谢谢你,你的英雄
标签: python opencv anaconda conda