安装anaconda + opencv for mac

这篇文章主要记录如何在mac上安装anaconda和opencv.

安装anaconda很简单，从官网下载后一直点击下一步就行。

默认安装完的anaconda是没有opencv的，而python3.6和opencv3.3又是我期望的版本，所以下面的记录是安装这两个的步骤。
首先注意几个问题：
1.我使用了zsh，所以虽然安装完anaconda之后，它会修改~/.bash_profile的内容，自动添加自己的路径到PATH中，但是由于安装了zsh，所以zsh的终端会读取~/.zshrc，就是说需要手动再把~/.bash_profile中的PATH内容加到~/.zshrc中。当然了，如果你没有使用zsh，而是系统自带的终端，那就不必这样操作了，因为你的系统里根本就不会有~/.zshrc这个文件。

# added by Anaconda3 5.0.0 installerexport PATH="/Users/zz/anaconda3/bin:$PATH"

就是上面的代码，添加到~/.zshrc的末尾就行了。

接下来，重新登录一下系统，或是source ~/.zshrc，然后看看能不能从识别到添加的路径。

 ~/ which conda/Users/zz/anaconda3/bin/conda ~/ conda --versionconda 4.3.28 ~/

看到上面的结果，就表示安装anaconda成功了。

接下来看看有没有opencv:

 ~/ conda list# packages in environment at /Users/zz/anaconda3:#_ipyw_jlab_nb_ext_conf    0.1.0            py36h2fc01ae_0alabaster                 0.7.10           py36h174008c_0anaconda                  5.0.0            py36hd9bc8a5_0anaconda-client           1.6.5            py36h04cfe59_0anaconda-navigator        1.6.8            py36hee14809_1anaconda-project          0.8.0            py36h99320b2_0appnope                   0.1.0            py36hf537a9a_0appscript                 1.0.1            py36h9e71e49_1asn1crypto                0.22.0           py36hb705621_1astroid                   1.5.3            py36h1333018_0astropy                   2.0.2            py36hf79c81d_4babel                     2.5.0            py36h9f161ff_0backports                 1.0              py36ha3c1827_1backports.shutil_get_terminal_size 1.0.0            py36hd7a2ee4_2beautifulsoup4            4.6.0            py36h72d3c9f_1bitarray                  0.8.1            py36h20fa61d_0bkcharts                  0.2              py36h073222e_0blaze                     0.11.3           py36h02e7a37_0bleach                    2.0.0            py36h8fcea71_0bokeh                     0.12.7           py36hf2e3fb6_1boto                      2.48.0           py36hdbc59ac_1bottleneck                1.2.1            py36hbd380ad_0ca-certificates           2017.08.26           ha1e5d58_0certifi                   2017.7.27.1      py36hd973bb6_0cffi                      1.10.0           py36h880867e_1chardet                   3.0.4            py36h96c241c_1click                     6.7              py36hec950be_0cloudpickle               0.4.0            py36h13b7e56_0clyent                    1.2.2            py36hae3ad88_0colorama                  0.3.9            py36hd29a30c_0conda                     4.3.28           py36h3b51d6a_0conda-build               3.0.22           py36hcb85c65_0conda-env                 2.6.0                h36134e3_0conda-verify              2.0.0            py36he837df3_0contextlib2               0.5.5            py36hd66e5e7_0cryptography              2.0.3            py36h22d4226_1curl                      7.55.1               h7601780_3cycler                    0.10.0           py36hfc81398_0cython                    0.26.1           py36hd51f8eb_0cytoolz                   0.8.2            py36h290905f_0dask                      0.15.2           py36h4a50f7f_0dask-core                 0.15.2           py36h151e743_0datashape                 0.5.4            py36hfb22df8_0dbus                      1.10.22              h50d9ad6_0decorator                 4.1.2            py36h69a1b52_0distributed               1.18.3           py36h46ea802_0docutils                  0.14             py36hbfde631_0entrypoints               0.2.3            py36hd81d71f_2et_xmlfile                1.0.1            py36h1315bdc_0expat                     2.2.4                h8f26bf8_1fastcache                 1.0.2            py36h8606a76_0filelock                  2.0.12           py36h0d0b4fb_0flask                     0.12.2           py36h5658096_0flask-cors                3.0.3            py36h7387b97_0freetype                  2.8                  h143eb01_0get_terminal_size         1.0.0                h7520d66_0gettext                   0.19.8.1             hb0f4f8b_2gevent                    1.2.2            py36ha70b9d6_0glib                      2.53.6               ha08cb78_1glob2                     0.5              py36h12393a9_0gmp                       6.1.2                h4a9834d_0gmpy2                     2.0.8            py36h7ef02cb_1greenlet                  0.4.12           py36hf09ba7b_0h5py                      2.7.0            py36h6400cee_1hdf5                      1.10.1               h6090a45_0heapdict                  1.0.0            py36h27a9ac6_0html5lib                  0.999999999      py36h79312fd_0icu                       58.2                 hea21ae5_0idna                      2.6              py36h8628d0a_1imageio                   2.2.0            py36h5e01289_0imagesize                 0.7.1            py36h3495948_0intel-openmp              2018.0.0             hdd0ccc9_7ipykernel                 4.6.1            py36h3208c25_0ipython                   6.1.0            py36hf612aae_1ipython_genutils          0.2.0            py36h241746c_0ipywidgets                7.0.0            py36h24d3910_0isort                     4.2.15           py36hceb2a01_0itsdangerous              0.24             py36h49fbb8d_1jbig                      2.1                  h4d881f8_0jdcal                     1.3              py36h1986823_0jedi                      0.10.2           py36h6325097_0jinja2                    2.9.6            py36hde4beb4_1jpeg                      9b                   haccd157_1jsonschema                2.6.0            py36hb385e00_0jupyter                   1.0.0            py36h598a6cc_0jupyter_client            5.1.0            py36hf6c435f_0jupyter_console           5.2.0            py36hccf5b1c_1jupyter_core              4.3.0            py36h93810fe_0jupyterlab                0.27.0           py36hd3092eb_2jupyterlab_launcher       0.4.0            py36h93e02e9_0lazy-object-proxy         1.3.1            py36h2fbbe47_0libcxx                    4.0.1                h579ed51_0libcxxabi                 4.0.1                hebd6815_0libedit                   3.1                  hb4e282d_0libffi                    3.2.1                hd939716_3libgfortran               3.0.1                h93005f0_2libiconv                  1.15                 h99df5da_5libpng                    1.6.32               hce72d48_2libsodium                 1.0.13               hba5e272_2libssh2                   1.8.0                h1218725_2libtiff                   4.0.8                h8cd0352_9libxml2                   2.9.4                hbd0960b_5libxslt                   1.1.29               h95a2935_5llvmlite                  0.20.0                   py36_0locket                    0.2.0            py36hca03003_1lxml                      3.8.0            py36h1003d81_0markupsafe                1.0              py36h3a1e703_1matplotlib                2.0.2            py36h507e440_1mccabe                    0.6.1            py36hdaeb55d_0mistune                   0.7.4            py36hccd6237_0mkl                       2018.0.0             hc285769_4mkl-service               1.1.2            py36h7ea6df4_4mpc                       1.0.3                hc455b36_4mpfr                      3.1.5                h7fa3772_1mpmath                    0.19             py36h9185fea_2msgpack-python            0.4.8            py36h46767b2_0multipledispatch          0.4.9            py36hc5f92b5_0navigator-updater         0.1.0            py36h7aee5fb_0nbconvert                 5.3.1            py36h810822e_0nbformat                  4.4.0            py36h827af21_0ncurses                   6.0                  ha932d30_1networkx                  1.11             py36he1dbd48_0nltk                      3.2.4            py36h27d1ea0_0nose                      1.3.7            py36h73fae2b_2notebook                  5.0.0            py36h462289e_2numba                     0.35.0              np113py36_6numexpr                   2.6.2            py36h0f4f1da_1numpy                     1.13.1           py36h93d791d_2numpydoc                  0.7.0            py36he54d08e_0odo                       0.5.1            py36hc1af34a_0olefile                   0.44             py36ha08bf50_0openpyxl                  2.4.8            py36he899640_1openssl                   1.0.2l               h57f3a61_2packaging                 16.8             py36he5e8135_0pandas                    0.20.3           py36hd6655d8_2pandoc                    1.19.2.1             ha5e8f32_1pandocfilters             1.4.2            py36h3b0b094_1partd                     0.3.8            py36hf5c4cb8_0path.py                   10.3.1           py36hd33c240_0pathlib2                  2.3.0            py36h877a6d8_0patsy                     0.4.1            py36ha1b3fa5_0pcre                      8.41                 h29eefc5_0pep8                      1.7.0            py36hc268eb1_0pexpect                   4.2.1            py36h3eac828_0pickleshare               0.7.4            py36hf512f8e_0pillow                    4.2.1            py36h0263179_0pip                       9.0.1            py36hbbb9e21_2pkginfo                   1.4.1            py36h25bf955_0ply                       3.10             py36h10e714e_0prompt_toolkit            1.0.15           py36haeda067_0psutil                    5.2.2            py36hce78e15_0ptyprocess                0.5.2            py36he6521c3_0py                        1.4.34           py36hecf431b_1pycodestyle               2.3.1            py36h83e8646_0pycosat                   0.6.2            py36h1486600_0pycparser                 2.18             py36h724b2fc_1pycrypto                  2.6.1            py36h72f2894_1pycurl                    7.43.0           py36hdb90038_3pyflakes                  1.5.0            py36h7fdd505_1pygments                  2.2.0            py36h240cd3f_0pylint                    1.7.2            py36h2492be7_0pyodbc                    4.0.17           py36h5478161_0pyopenssl                 17.2.0           py36h5d7bf08_0pyparsing                 2.2.0            py36hb281f35_0pyqt                      5.6.0            py36he5c6137_6pysocks                   1.6.7            py36hfa33cec_1pytables                  3.4.2            py36h6e7b07d_1pytest                    3.2.1            py36h9963153_1python                    3.6.2               h26d10c0_12python-dateutil           2.6.1            py36h86d2abb_1python.app                2                py36h02ac5de_5pytz                      2017.2           py36h2e7dfbc_1pywavelets                0.5.2            py36h2710a04_0pyyaml                    3.12             py36h2ba1e63_1pyzmq                     16.0.2           py36h087ffad_2qt                        5.6.2               h9975529_14qtawesome                 0.4.4            py36h468c6fb_0qtconsole                 4.3.1            py36hd96c0ff_0qtpy                      1.3.1            py36h16bb863_0readline                  7.0                  h81b24a6_3requests                  2.18.4           py36h4516966_1rope                      0.10.5           py36h5764ad1_0ruamel_yaml               0.11.14          py36h9d7ade0_2scikit-image              0.13.0           py36h398857d_1scikit-learn              0.19.0           py36h4cafacf_2scipy                     0.19.1           py36h3e758e1_3seaborn                   0.8.0            py36h74df97e_0setuptools                36.5.0           py36h2134326_0simplegeneric             0.8.1            py36he5b5b09_0singledispatch            3.4.0.3          py36hf20db9d_0sip                       4.18.1           py36h2824476_2six                       1.10.0           py36h1d5bd22_1snowballstemmer           1.2.1            py36h6c7b616_0sortedcollections         0.5.3            py36he9c3ed6_0sortedcontainers          1.5.7            py36ha982688_0sphinx                    1.6.3            py36hcd1b3e7_0sphinxcontrib             1.0              py36h9364dc8_1sphinxcontrib-websupport  1.0.1            py36h92f4a7a_1spyder                    3.2.3            py36hfd52dc3_0sqlalchemy                1.1.13           py36h156b851_0sqlite                    3.20.1               h900c3b0_1statsmodels               0.8.0            py36h9c68fc9_0sympy                     1.1.1            py36h7f3cf04_0tblib                     1.3.2            py36hda67792_0terminado                 0.6              py36h656782e_0testpath                  0.3.1            py36h625a49b_0tk                        8.6.7                hcdce994_1toolz                     0.8.2            py36h7b95164_0tornado                   4.5.2            py36h468dda9_0traitlets                 4.3.2            py36h65bd3ce_0typing                    3.6.2            py36haa2d9ef_0unicodecsv                0.14.1           py36he531d66_0unixodbc                  2.3.4                h4cb4dde_1urllib3                   1.22             py36h68b9469_0wcwidth                   0.1.7            py36h8c6ec74_0webencodings              0.5.1            py36h3b9701d_1werkzeug                  0.12.2           py36h168efa1_0wheel                     0.29.0           py36h3597b6d_1widgetsnbextension        3.0.2            py36h91f43ea_1wrapt                     1.10.11          py36hc29e774_0xlrd                      1.1.0            py36h336f4a2_1xlsxwriter                0.9.8            py36h3a83402_0xlwings                   0.11.4           py36hc75f156_0xlwt                      1.2.0            py36h5ad1178_0xz                        5.2.3                ha24016e_1yaml                      0.1.7                hff548bb_1zeromq                    4.2.2                h131e0f7_1zict                      0.1.2            py36h117f4c7_0zlib                      1.2.11               h60db283_1

其实应该是没有opencv的，否则的话就不会有下面的内容了。
之所以列出了上面的那一堆已经安装了库，主要是想记录一下conda list 这个命令的作用。

既然没有，那接下来就是安装过程了。
期初，我按照网上的操作，结果出现了类似下面的情况，为什么说类似呢，是因为我当时没有记录下来自己的错误提示，这里引用了别人的，但结果是99%类似的。

$ conda install -c menpo opencv3Fetching package metadata ...........Solving package specifications: .UnsatisfiableError: The following specifications were found to be in conflict:  - opencv3 -> python 2.7* -> openssl 1.0.1*  - python 3.6*Use "conda info <package>" to see the dependencies for each package.

当时不太理解，现在明白了，这个提示的意思是说：在当前的环境下，也就是那个console的环境下，要安装Opencv3，但是那个环境下python是2.7的，不是opencv3依赖的3.6，也就是版本不对应。哦对了，那个-c是什么意思呢？它后面跟的是一个安装源url，这里的menpo指的是一个安装源。后面会有解释。

怎么办呢？

把当前的环境改一下，使用python3.6，以便安装opencv3.

 ~/ conda create -n zopencv python=3.6.2Fetching package metadata .............Solving package specifications: .Package plan for installation in environment /Users/zz/anaconda3/envs/zopencv:The following NEW packages will be INSTALLED:    ca-certificates: 2017.08.26-ha1e5d58_0    certifi:         2017.7.27.1-py36hd973bb6_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-py36hbd95645_3    python:          3.6.2-hd04bb42_19    readline:        7.0-h81b24a6_3    setuptools:      36.5.0-py36h2134326_0    sqlite:          3.20.1-h900c3b0_1    tk:              8.6.7-hcdce994_1    wheel:           0.29.0-py36h3597b6d_1    xz:              5.2.3-ha24016e_1    zlib:            1.2.11-h60db283_1Proceed ([y]/n)? yca-certificate 100% |########################################################################################| Time: 0:00:01 179.86 kB/slibcxxabi-4.0. 100% |########################################################################################| Time: 0:00:00 257.24 kB/stk-8.6.7-hcdce 100% |########################################################################################| Time: 0:00:10 317.57 kB/sxz-5.2.3-ha240 100% |########################################################################################| Time: 0:00:00 604.70 kB/szlib-1.2.11-h6 100% |########################################################################################| Time: 0:00:00 684.85 kB/slibcxx-4.0.1-h 100% |########################################################################################| Time: 0:00:01 583.14 kB/sopenssl-1.0.2l 100% |########################################################################################| Time: 0:00:05 683.18 kB/slibffi-3.2.1-h 100% |########################################################################################| Time: 0:00:00   2.56 MB/sncurses-6.0-ha 100% |########################################################################################| Time: 0:00:00   1.12 MB/slibedit-3.1-hb 100% |########################################################################################| Time: 0:00:00   1.58 MB/sreadline-7.0-h 100% |########################################################################################| Time: 0:00:00   1.01 MB/ssqlite-3.20.1- 100% |########################################################################################| Time: 0:00:01   1.17 MB/spython-3.6.2-h 100% |########################################################################################| Time: 0:00:20 655.64 kB/scertifi-2017.7 100% |########################################################################################| Time: 0:00:00 335.91 kB/ssetuptools-36. 100% |########################################################################################| Time: 0:00:02 237.97 kB/swheel-0.29.0-p 100% |########################################################################################| Time: 0:00:00 448.89 kB/spip-9.0.1-py36 100% |########################################################################################| Time: 0:00:07 232.05 kB/s## To activate this environment, use:# > source activate zopencv## To deactivate an active environment, use:# > source deactivate# ~/ source activate zopencv(zopencv)  ~/ conda info --envs# conda environments:#zopencv               *  /Users/zz/anaconda3/envs/zopencvroot                     /Users/zz/anaconda3(zopencv)  ~/

通用的做法是创建一个env，也就是创建一个环境，使用的命令为：

conda create -n zopencv python=3.6.2

这个环境的变量叫：zopencv，使用的python版本为3.6.2
可以看到，执行完之后，会自动检测需要安装哪些依赖的库，并自动搜索安装，安装完之后会提示使用：

# > source activate zopencv

来激活这个环境，或是使用：

# > source deactivate

来关闭这个环境。
这个有什么用呢？很明显，我们可以根据需要创建多个不同版本的python环境来满足项目的需要，并且它们互相不会干扰，很方便是不是。

继续。

当然了，我们需要把它激活，这里我创建的环境变量叫：zopencv
激活后，命令行的提示符会有所变化：

(zopencv)  ~/ conda info --envs# conda environments:#zopencv               *  /Users/zz/anaconda3/envs/zopencvroot                     /Users/zz/anaconda3(zopencv) 

在提示符的开头有一对儿小括号，里面就是环境名字。表示当前的的console已经在这个环境中了。

此时，python3.6.2已经安装完了，接下来是安装opencv。

现在我在写这篇日志时已经了解到，当使用conda安装时，可以指定要安装的目标库的源地址，比如开头部分使用的那个命令：

$ conda install -c menpo opencv3Fetching package metadata ...........Solving package specifications: .UnsatisfiableError: The following specifications were found to be in conflict:  - opencv3 -> python 2.7* -> openssl 1.0.1*  - python 3.6*Use "conda info <package>" to see the dependencies for each package.

通过install -c来指定，那么menpo到底什么呢?
它代表的是一个url，这个url源有很多的package可供使用，但是在这里，没有可用的opencv3。搜索后，我从另外一个帖子中得知，可以指定从另一个url获取opencv3
https://stackoverflow.com/questions/41873941/cant-install-opencv3-on-anaconda3-python3-6-on-macos

使用下面这句命令在自己的终端上之了一下后结果为：

(zopencv)  ~/ conda search -c conda-forge --spec 'opencv=3*'Fetching package metadata ...............opencv                       3.1.0               np110py27_0  conda-forge                             3.1.0               np110py34_0  conda-forge                             3.1.0               np110py35_0  conda-forge                             3.1.0               np111py27_0  conda-forge                             3.1.0               np111py34_0  conda-forge                             3.1.0               np111py35_0  conda-forge                             3.1.0               np110py27_1  conda-forge                             3.1.0               np110py34_1  conda-forge                             3.1.0               np110py35_1  conda-forge                             3.1.0               np111py27_1  conda-forge                             3.1.0               np111py34_1  conda-forge                             3.1.0               np111py35_1  conda-forge                             3.1.0               np111py36_1  conda-forge                             3.1.0               np112py27_1  conda-forge                             3.1.0               np112py35_1  conda-forge                             3.1.0               np112py36_1  conda-forge                             3.2.0               np111py27_0  conda-forge                             3.2.0               np111py35_0  conda-forge                             3.2.0               np111py36_0  conda-forge                             3.2.0               np112py27_0  conda-forge                             3.2.0               np112py35_0  conda-forge                             3.2.0               np112py36_0  conda-forge                             3.2.0           np111py27_blas_openblas_200  conda-forge     [blas_openblas]                             3.2.0           np111py35_blas_openblas_200  conda-forge     [blas_openblas]                             3.2.0           np111py36_blas_openblas_200  conda-forge     [blas_openblas]                             3.2.0           np112py27_blas_openblas_200  conda-forge     [blas_openblas]                             3.2.0           np112py35_blas_openblas_200  conda-forge     [blas_openblas]                             3.2.0           np112py36_blas_openblas_200  conda-forge     [blas_openblas]                             3.2.0           np111py27_blas_openblas_201  conda-forge     [blas_openblas]                             3.2.0           np111py35_blas_openblas_201  conda-forge     [blas_openblas]                             3.2.0           np111py36_blas_openblas_201  conda-forge     [blas_openblas]                             3.2.0           np112py27_blas_openblas_201  conda-forge     [blas_openblas]                             3.2.0           np112py35_blas_openblas_201  conda-forge     [blas_openblas]                             3.2.0           np112py36_blas_openblas_201  conda-forge     [blas_openblas]                             3.2.0           np111py27_blas_openblas_202  conda-forge     [blas_openblas]                             3.2.0           np111py35_blas_openblas_202  conda-forge     [blas_openblas]                             3.2.0           np111py36_blas_openblas_202  conda-forge     [blas_openblas]                             3.2.0           np112py27_blas_openblas_202  conda-forge     [blas_openblas]                             3.2.0           np112py35_blas_openblas_202  conda-forge     [blas_openblas]                             3.2.0           np112py36_blas_openblas_202  conda-forge     [blas_openblas]                             3.2.0           np111py27_blas_openblas_203  conda-forge     [blas_openblas]                             3.2.0           np111py35_blas_openblas_203  conda-forge     [blas_openblas]                             3.2.0           np111py36_blas_openblas_203  conda-forge     [blas_openblas]                             3.2.0           np112py27_blas_openblas_203  conda-forge     [blas_openblas]                             3.2.0           np112py35_blas_openblas_203  conda-forge     [blas_openblas]                             3.2.0           np112py36_blas_openblas_203  conda-forge     [blas_openblas]                             3.2.0           np113py27_blas_openblas_203  conda-forge     [blas_openblas]                             3.2.0           np113py35_blas_openblas_203  conda-forge     [blas_openblas]                             3.2.0           np113py36_blas_openblas_203  conda-forge     [blas_openblas]                             3.2.0           np111py27_blas_openblas_204  conda-forge     [blas_openblas]                             3.2.0           np111py35_blas_openblas_204  conda-forge     [blas_openblas]                             3.2.0           np111py36_blas_openblas_204  conda-forge     [blas_openblas]                             3.2.0           np112py27_blas_openblas_204  conda-forge     [blas_openblas]                             3.2.0           np112py35_blas_openblas_204  conda-forge     [blas_openblas]                             3.2.0           np112py36_blas_openblas_204  conda-forge     [blas_openblas]                             3.2.0           np113py27_blas_openblas_204  conda-forge     [blas_openblas]                             3.2.0           np113py35_blas_openblas_204  conda-forge     [blas_openblas]                             3.2.0           np113py36_blas_openblas_204  conda-forge     [blas_openblas]                             3.3.0           py27_blas_openblas_200  conda-forge     [blas_openblas]                             3.3.0           py35_blas_openblas_200  conda-forge     [blas_openblas]                             3.3.0           py36_blas_openblas_200  conda-forge     [blas_openblas](zopencv)  ~/ conda search -c conda-forge --spec 'opencv=3.3*'Fetching package metadata ...............opencv                       3.3.0           py27_blas_openblas_200  conda-forge     [blas_openblas]                             3.3.0           py35_blas_openblas_200  conda-forge     [blas_openblas]                             3.3.0           py36_blas_openblas_200  conda-forge     [blas_openblas](zopencv)  ~/

看起来是有opencv3的，还是3.3.0的，对应py3.6版本。

然后就开始安装：

(zopencv)  ~/ conda install -c conda-forge opencvFetching package metadata ...............Solving package specifications: .Package plan for installation in environment /Users/zz/anaconda3/envs/zopencv:The following NEW packages will be INSTALLED:    blas:        1.1-openblas                  conda-forge    bzip2:       1.0.6-1                       conda-forge    cairo:       1.14.6-4                      conda-forge    ffmpeg:      3.2.4-1                       conda-forge    fontconfig:  2.12.1-4                      conda-forge    freetype:    2.7-1                         conda-forge    gettext:     0.19.8.1-0                    conda-forge    giflib:      5.1.4-0                       conda-forge    glib:        2.51.4-0                      conda-forge    harfbuzz:    1.3.4-2                       conda-forge    hdf5:        1.8.18-0                      conda-forge    icu:         58.1-1                        conda-forge    jasper:      1.900.1-4                     conda-forge    jpeg:        9b-1                          conda-forge    libgfortran: 3.0.0-0                       conda-forge    libiconv:    1.14-4                        conda-forge    libpng:      1.6.28-0                      conda-forge    libtiff:     4.0.6-7                       conda-forge    libwebp:     0.5.2-7                       conda-forge    libxml2:     2.9.5-0                       conda-forge    numpy:       1.13.3-py36_blas_openblas_200 conda-forge [blas_openblas]    openblas:    0.2.19-2                      conda-forge    opencv:      3.3.0-py36_blas_openblas_200  conda-forge [blas_openblas]    pcre:        8.39-0                        conda-forge    pixman:      0.34.0-0                      conda-forge    x264:        20131217-3                    conda-forgeProceed ([y]/n)? ybzip2-1.0.6-1. 100% |########################################################################################| Time: 0:00:03  37.51 kB/sgettext-0.19.8 100% |########################################################################################| Time: 0:00:12 274.61 kB/sgiflib-5.1.4-0 100% |########################################################################################| Time: 0:00:01  56.57 kB/sicu-58.1-1.tar 100% |########################################################################################| Time: 0:02:02 194.79 kB/sjpeg-9b-1.tar. 100% |########################################################################################| Time: 0:00:02 122.74 kB/slibgfortran-3. 100% |########################################################################################| Time: 0:00:01 282.68 kB/slibiconv-1.14- 100% |########################################################################################| Time: 0:00:05 240.50 kB/spcre-8.39-0.ta 100% |########################################################################################| Time: 0:00:01 225.61 kB/spixman-0.34.0- 100% |########################################################################################| Time: 0:00:04 290.43 kB/sx264-20131217- 100% |########################################################################################| Time: 0:00:12 201.70 kB/sffmpeg-3.2.4-1 100% |########################################################################################| Time: 0:01:20 517.16 kB/shdf5-1.8.18-0. 100% |########################################################################################| Time: 0:00:07 563.76 kB/sjasper-1.900.1 100% |########################################################################################| Time: 0:00:05  59.32 kB/slibpng-1.6.28- 100% |########################################################################################| Time: 0:00:05  55.34 kB/slibtiff-4.0.6- 100% |########################################################################################| Time: 0:00:02 241.60 kB/slibxml2-2.9.5- 100% |########################################################################################| Time: 0:00:05 372.49 kB/sopenblas-0.2.1 100% |########################################################################################| Time: 0:00:46 388.18 kB/sblas-1.1-openb 100% |########################################################################################| Time: 0:00:00   1.14 MB/sfreetype-2.7-1 100% |########################################################################################| Time: 0:00:02 268.63 kB/slibwebp-0.5.2- 100% |########################################################################################| Time: 0:00:03 195.04 kB/sfontconfig-2.1 100% |########################################################################################| Time: 0:00:01 246.42 kB/sglib-2.51.4-0. 100% |########################################################################################| Time: 0:00:15 337.84 kB/scairo-1.14.6-4 100% |########################################################################################| Time: 0:00:03 345.55 kB/sharfbuzz-1.3.4 100% |########################################################################################| Time: 0:00:08  79.87 kB/snumpy-1.13.3-p 100% |########################################################################################| Time: 0:00:12 310.62 kB/sopencv-3.3.0-p  88% |#############################################################################           | Time: 0:01:16 430.01 kB/sopencv-3.3.0-p 100% |########################################################################################| Time: 4:35:44   2.26 kB/s^Copencv-3.3.0-p 100% |########################################################################################| Time: 0:02:54 214.38 kB/s(zopencv)  ~/(zopencv)  ~/(zopencv)  ~/(zopencv)  ~/ conda install -c conda-forge opencvFetching package metadata ...............Solving package specifications: .# All requested packages already installed.# packages in environment at /Users/zz/anaconda3/envs/zopencv:#opencv                    3.3.0           py36_blas_openblas_200  [blas_openblas]  conda-forge(zopencv)  ~/ conda list | grep -e python -e opencv# packages in environment at /Users/zz/anaconda3/envs/zopencv:opencv                    3.3.0           py36_blas_openblas_200  [blas_openblas]  conda-forgepython                    3.6.2               hd04bb42_19(zopencv)  ~/

中间有一段时间我去看电影了，就断开了，不过后来又接上了。

(zopencv)  ~/ pythonPython 3.6.2 |Anaconda, Inc.| (default, Oct  5 2017, 03:00:07)[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwinType "help", "copyright", "credits" or "license" for more information.>>> import cv2>>>

试了一下，没有问题。
把pycharm修改一下python解释器的路径，应该就可以在那里使用opencv了。
收工。