[英]UnsatisfiableError: The following specifications were found to be in conflict: - opencv3 -> python 2.7* - python 3.6*
如何在OS X中为Anaconda Python安装OpenCV？ 我在Windows 7企业版中使用了相同的命令，它有效
Monas-MacBook-Pro:machine_learning mona$ conda install --channel https://conda.anaconda.org/menpo opencv3
Fetching package metadata .............
Solving package specifications: .
UnsatisfiableError: The following specifications were found to be in conflict:
- opencv3 -> python 2.7*
- python 3.6*
Use "conda info <package>" to see the dependencies for each package.
Monas-MacBook-Pro:machine_learning mona$ conda install opencv3
Fetching package metadata ...........
PackageNotFoundError: Packages missing in current channels:
- opencv3
We have searched for the packages in the following channels:
- https://repo.continuum.io/pkgs/main/osx-64
- https://repo.continuum.io/pkgs/main/noarch
- https://repo.continuum.io/pkgs/free/osx-64
- https://repo.continuum.io/pkgs/free/noarch
- https://repo.continuum.io/pkgs/r/osx-64
- https://repo.continuum.io/pkgs/r/noarch
- https://repo.continuum.io/pkgs/pro/osx-64
- https://repo.continuum.io/pkgs/pro/noarch
Monas-MacBook-Pro:machine_learning mona$ conda install -c menpo opencv3
Fetching package metadata .............
Solving package specifications: .
UnsatisfiableError: The following specifications were found to be in conflict:
- opencv3 -> python 2.7*
- python 3.6*
Use "conda info <package>" to see the dependencies for each package.
更新：我什至尝试使用conda forge安装它，但出现此错误
Monas-MacBook-Pro:machine_learning mona$ conda install -c conda-forge opencv
Fetching package metadata .............
Solving package specifications: ^[[A^[[B.
Package plan for installation in environment /Users/mona/anaconda:
The following NEW packages will be INSTALLED:
blas: 1.1-openblas conda-forge
bzip2: 1.0.6-1 conda-forge
ffmpeg: 3.2.4-1 conda-forge
x264: 20131217-3 conda-forge
The following packages will be UPDATED:
h5py: 2.7.0-np112py36_0 --> 2.7.1-py36_1 conda-forge
hdf5: 1.8.17-1 --> 1.8.18-1 conda-forge
numpy: 1.12.1-py36_0 --> 1.12.1-py36_blas_openblas_200 conda-forge [blas_openblas]
opencv: 3.2.0-np112py36_0 conda-forge --> 3.3.0-py36_blas_openblas_200 conda-forge [blas_openblas]
pytables: 3.3.0-np112py36_0 --> 3.4.2-np112py36_1 conda-forge
scikit-learn: 0.19.0-np112py36_0 --> 0.19.0-py36_blas_openblas_201 conda-forge [blas_openblas]
scipy: 0.19.1-np112py36_0 --> 0.19.1-py36_blas_openblas_202 conda-forge [blas_openblas]
The following packages will be SUPERSEDED by a higher-priority channel:
conda: 4.3.27-py36hb556a21_0 --> 4.3.24-py36_0 conda-forge
conda-env: 2.6.0-0 --> 2.6.0-0 conda-forge
Proceed ([y]/n)? y
Invalid choice: y
Proceed ([y]/n)? y
bzip2-1.0.6-1. 100% |#####################################################| Time: 0:00:00 395.79 kB/s
conda-env-2.6. 100% |#####################################################| Time: 0:00:00 993.59 kB/s
x264-20131217- 100% |#####################################################| Time: 0:00:02 1.19 MB/s
ffmpeg-3.2.4-1 100% |#####################################################| Time: 0:00:25 1.60 MB/s
hdf5-1.8.18-1. 100% |#####################################################| Time: 0:00:03 1.31 MB/s
blas-1.1-openb 100% |#####################################################| Time: 0:00:00 816.40 kB/s
numpy-1.12.1-p 100% |#####################################################| Time: 0:00:02 1.52 MB/s
h5py-2.7.1-py3 100% |#####################################################| Time: 0:00:00 1.78 MB/s
scipy-0.19.1-p 100% |#####################################################| Time: 0:00:10 1.55 MB/s
pytables-3.4.2 100% |#####################################################| Time: 0:00:02 1.19 MB/s
scikit-learn-0 100% |#####################################################| Time: 0:00:04 1.32 MB/s
conda-4.3.24-p 100% |#####################################################| Time: 0:00:00 1.59 MB/s
opencv-3.3.0-p 100% |#####################################################| Time: 0:00:22 1.64 MB/s
Monas-MacBook-Pro:machine_learning mona$ python
Python 3.6.2 |Anaconda custom (x86_64)| (default, Jul 20 2017, 13:14:59)
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: dlopen(/Users/mona/anaconda/lib/python3.6/site-packages/cv2.cpython-36m-darwin.so, 2): Library not loaded: @rpath/libopenblasp-r0.2.19.dylib
Referenced from: /Users/mona/anaconda/lib/libopencv_core.3.3.dylib
Reason: image not found
>>>
这与几个星期前的问题完全相同。 仅复制/粘贴答案：
在Anaconda软件包列表中的menpo软件包下查看OpenCV的conda 安装程序列表：
osx-64 / opencv3-3.1.0-py27_0.tar.bz2
osx-64 / opencv3-3.1.0-py34_0.tar.bz2
osx-64 / opencv3-3.1.0-py35_0.tar.bz2
linux-64 / opencv3-3.1.0-py35_0.tar.bz2
linux-64 / opencv3-3.1.0-py27_0.tar.bz2
linux-64 / opencv3-3.1.0-py36_0.tar.bz2
linux-64 / opencv3-3.1.0-py34_0.tar.bz2
linux-64 / opencv3-3.2.0-np111py35_0.tar.bz2
linux-64 / opencv3-3.2.0-np111py34_0.tar.bz2
linux-64 / opencv3-3.2.0-np111py27_0.tar.bz2
win-32 / opencv3-3.1.0-py27_0.tar.bz2
赢64- / opencv3-3.1.0-py35_0.tar.bz2
win-32 / opencv3-3.1.0-py35_0.tar.bz2
赢得64 / opencv3-3.1.0-py34_0.tar.bz2
win-32 / opencv3-3.1.0-py34_0.tar.bz2
赢64- / opencv3-3.1.0-py27_0.tar.bz2
请注意每个安装程序中列出的Python版本。 对于macOS，最新的menpo安装程序是OpenCV 3.1.0，可在Python 3.5上运行。 因此，如果要使用menpo安装程序，只需使用Python 3.5创建一个新环境，然后激活并安装：
conda create -n <opencv virtual env> python=3.5
source activate <opencv virtual env>
conda install -c menpo opencv3
否则，如果您想使用Python 3.6（这是一个非常出色的Python版本），则需要从源代码进行构建。 请参阅以下Stack Overflow问题的好答案： 无法在macOS的Anaconda3 python3.6上安装OpenCV3 。
Monas-MacBook-Pro:machine_learning mona$ conda create -n py35 python=3.5
Fetching package metadata .............
Solving package specifications: .
Package plan for installation in environment /Users/mona/anaconda/envs/py35:
The following NEW packages will be INSTALLED:
ca-certificates: 2017.08.26-ha1e5d58_0
certifi: 2017.7.27.1-py35h0fdde5e_0
libcxx: 4.0.1-h579ed51_0
libcxxabi: 4.0.1-hebd6815_0
libedit: 3.1-hb4e282d_0
libffi: 3.2.1-hd939716_3
ncurses: 6.0-ha932d30_1
openssl: 1.0.2l-h57f3a61_2
pip: 9.0.1-py35he52dd69_3
python: 3.5.4-hf91e954_15
readline: 7.0-h81b24a6_3
setuptools: 36.5.0-py35h52cde6a_0
sqlite: 3.20.1-h900c3b0_1
tk: 8.6.7-hcdce994_1
wheel: 0.29.0-py35ha7aa5c4_1
xz: 5.2.3-ha24016e_1
zlib: 1.2.11-h60db283_1
Proceed ([y]/n)? y
ca-certificate 100% |#################################################################################################################| Time: 0:00:00 1.86 MB/s
tk-8.6.7-hcdce 100% |#################################################################################################################| Time: 0:00:01 2.17 MB/s
xz-5.2.3-ha240 100% |#################################################################################################################| Time: 0:00:00 2.33 MB/s
zlib-1.2.11-h6 100% |#################################################################################################################| Time: 0:00:00 3.35 MB/s
openssl-1.0.2l 100% |#################################################################################################################| Time: 0:00:01 2.04 MB/s
libffi-3.2.1-h 100% |#################################################################################################################| Time: 0:00:00 943.34 kB/s
ncurses-6.0-ha 100% |#################################################################################################################| Time: 0:00:00 1.90 MB/s
libedit-3.1-hb 100% |#################################################################################################################| Time: 0:00:00 1.18 MB/s
readline-7.0-h 100% |#################################################################################################################| Time: 0:00:00 1.36 MB/s
sqlite-3.20.1- 100% |#################################################################################################################| Time: 0:00:01 1.41 MB/s
python-3.5.4-h 100% |#################################################################################################################| Time: 0:00:07 1.72 MB/s
#
# To activate this environment, use:
# > conda activate py35
#
# To deactivate an active environment, use:
# > conda deactivate
#
Monas-MacBook-Pro:machine_learning mona$ conda activate py35
CommandNotFoundError: 'activate is not a conda command.
Did you mean 'source activate'?
Monas-MacBook-Pro:machine_learning mona$ source activate py35
(py35) Monas-MacBook-Pro:machine_learning mona$ conda install -c menpo opencv3
Fetching package metadata ...............
Solving package specifications: .
Package plan for installation in environment /Users/mona/anaconda/envs/py35:
The following NEW packages will be INSTALLED:
hdf5: 1.8.18-h1edb405_0
intel-openmp: 2018.0.0-hdd0ccc9_7
libgfortran: 3.0.1-h93005f0_2
mkl: 2018.0.0-hc285769_4
numpy: 1.13.1-py35he58e7f4_2
opencv3: 3.1.0-py35_0 menpo
tbb: 4.3_20141023-0 menpo
Proceed ([y]/n)? y
intel-openmp-2 100% |#################################################################################################################| Time: 0:00:00 1.81 MB/s
libgfortran-3. 100% |#################################################################################################################| Time: 0:00:00 1.71 MB/s
tbb-4.3_201410 100% |#################################################################################################################| Time: 0:00:00 1.66 MB/s
mkl-2018.0.0-h 100% |#################################################################################################################| Time: 0:01:33 1.66 MB/s
hdf5-1.8.18-h1 100% |#################################################################################################################| Time: 0:00:02 1.72 MB/s
numpy-1.13.1-p 100% |#################################################################################################################| Time: 0:00:03 1.15 MB/s
opencv3-3.1.0- 100% |#################################################################################################################| Time: 0:00:46 847.84 kB/s
(py35) Monas-MacBook-Pro:machine_learning mona$ python
Python 3.5.4 |Anaconda, Inc.| (default, Sep 30 2017, 13:45:16)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
>>>
UnsatisfiableError：发现以下规范存在冲突：conda 4.0.8 *-> conda-env <2.5-> python 2.7 *-python 3.6 *
[英]UnsatisfiableError: The following specifications were found to be in conflict: conda 4.0.8* -> conda-env <2.5 -> python 2.7* - python 3.6*
UnsatisfiableError：发现以下规范存在冲突：-pil-> python 2.6 *-python 3.6 *
[英]UnsatisfiableError: The following specifications were found to be in conflict: - pil -> python 2.6* - python 3.6*
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