使用conda安装opencv

Question

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，当时所有的包都有不同的版本。我尝试了这个问题的所有答案，但都没有奏效。有关详细信息，请参阅问题文本。

如何在2019年7月安装带有conda的opencv？在新安装的anaconda上，我执行了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']

Answer 1

我在使用conda安装opencv时遇到了无数的问题。这是我的方法，如果你还没有环境，那就创建一个环境

conda create -n py36 python=3.6
conda activate py36

使用pip 而不是 conda安装opencv

pip install opencv-python

如果你仍然有问题，卸载opencv，更新ffmpeg

conda install -c conda-forge ffmpeg 

然后重新运行pip

更新2020

使用env activate安装pip

conda install pip

验证pip是否在您的环境中

whereis
pip: /path/anaconda3/envs/your_env/bin/pip

使用pip安装opencv

~/anaconda3/envs/your_env/bin/pip3 install opencv-python

Answer 2

创建一个全新的环境，让conda处理兼容性：

conda create -n cv -c conda-forge opencv matplotlib

这将使用python、opencv和matplotlib创建一个名为"cv“的新环境。

今天(出局。2019年11日)已安装：

• 4.1.1
• MatPlotLib 3.7.3
• OpenCV Python 3.1.1
• Numpy 1.17.2
• ...和所有其他dependencies.

Answer 3

直接运行

pip install opencv-python

而是在spyder上