python - 如何在Mac上通过anaconda安装openCV？

Question

我得到错误

UnsatisfiableError: The following specifications were found to be in conflict:

-opencv-> numpy 1.7 *-> python 2.6 *-> openssl 1.0.1 *
-python 3.6 *
使用“conda info”查看每个软件包的依赖关系。

我的 conda list

# packages in environment at /Users/robiulislam/anaconda:

＃
_license 1.1 py36_1
雪花石膏0.7.9 py36_0
python 4.3.0 np111py36_0
anaconda客户端1.6.0 py36_0
anaconda-navigator 1.4.3 py36_0
appdirs 1.4.0
Appnope 0.1.0 py36_0
应用程式1.0.1 py36_0
astroid 1.4.9 py36_0
astropy 1.3 np111py36_0
通天塔2.3.4 py36_0
向后移植1.0 py36_0
beautifulsoup4 4.5.3 py36_0
位数组0.8.1 py36_0
大火0.10.1 py36_0
散景0.12.4 py36_0
boto 2.45.0 py36_0
瓶颈1.2.0 np111py36_0
cffi 1.9.1 py36_0
chardet 2.3.0 py36_0
胸部0.2.3 py36_0
点击6.7 py36_0
cloudpickle 0.2.2 py36_0
克莱恩1.2.2 py36_0
科罗拉多州0.3.7 py36_0
conda 4.3.13 py36_0
conda-env 2.6.0 0
configobj 5.0.6 py36_0
contextlib2 0.5.4 py36_0
加密1.7.1 py36_0
curl 7.52.1 0
循环仪0.10.0 py36_0
cython 0.25.2 py36_0
cytoolz 0.8.2 py36_0
达0.13.0 py36_0
数据形0.5.4 py36_0
装饰者4.0.11 py36_0
莳萝0.2.5 py36_0
Django 1.10.5
docutils 0.13.1 py36_0
入口点0.2.2 py36_0
et_xmlfile 1.0.1 py36_0
快速缓存1.0.2 py36_1
flask 0.12 py36_0
flask-cors 3.0.2 py36_0
自由类型2.5.5 2
get_terminal_size 1.0.0 py36_0
gevent 1.2.1 py36_0
Greenlet 0.4.11 py36_0
h5py 2.6.0 np111py36_2
hdf5 1.8.17 1
堆dict 1.0.0 py36_1
icu 54.1 0
idna 2.2 py36_0
图片尺寸0.7.1 py36_0
ipykernel 4.5.2 py36_0
ipython 5.1.0 py36_1
ipython_genutils 0.1.0 py36_0
ipywidgets 5.2.2 py36_1
isort 4.2.5 py36_0
危险0.24 py36_0
大牌2.1 0
jdcal 1.3 py36_0
绝地0.9.0 py36_1
jinja2 2.9.4 py36_0
jpeg 9b 0
jsonschema 2.5.1 py36_0
jupyter 1.0.0 py36_3
jupyter_client 4.4.0 py36_0
jupyter_console 5.0.0 py36_0
jupyter_core 4.2.1 py36_0
凯拉斯1.2.1
惰性对象代理1.2.2 py36_0
libiconv 1.14 0
libpng 1.6.27 0
libtiff 4.0.6 3
libxml2 2.9.4 0
libxslt 1.1.29 0
llvmlite 0.15.0 py36_0
小盒0.2.0 py36_1
lxml 3.7.2 py36_0
markupsafe 0.23 py36_2
matplotlib 2.0.0 np111py36_0
误调0.7.3 py36_1
mkl 2017.0.1 0
mkl-service 1.1.2 py36_3
mpmath 0.19 py36_1
多重调度0.4.9 py36_0
nbconvert 4.2.0 py36_0
nbformat 4.2.0 py36_0
网络x 1.11 py36_0
nltk 3.2.2 py36_0
Nose 1.3.7 py36_1
笔记本4.3.1 py36_0
numba 0.30.1 np111py36_0
numexpr 2.6.1 np111py36_2
的numpy 1.11.3 py36_0
的numpy 1.12.0
numpydoc 0.6.0 py36_0
odo 0.5.0 py36_1
openpyxl 2.4.1 py36_0
openssl 1.0.2k 0
包装16.8
Pandas 0.19.2 np111py36_1
分开0.3.7 py36_0
path.py 10.0 py36_0
pathlib2 2.2.0 py36_0
patsy 0.4.1 py36_0
pep8 1.7.0 py36_0
pexpect 4.2.1 py36_0
pickleshare 0.7.4 py36_0
枕头4.0.0 py36_0
点9.0.1 py36_1
层3.9 py36_0
prompt_toolkit 1.0.9 py36_0
psutil 5.0.1 py36_0
ptyprocess 0.5.1 py36_0
py 1.4.32 py36_0
pyasn1 0.1.9 py36_0
pycosat 0.6.1 py36_1
pycparser 2.17 py36_0
pycrypto 2.6.1 py36_4
pycurl的7.43.0 py36_2
pyflakes 1.5.0 py36_0
pygments 2.1.3 py36_0
pylint 1.6.4 py36_1
pyopenssl 16.2.0 py36_0
pyparsing 2.1.4 py36_0
pyparsing 2.1.10
pyqt 5.6.0 py36_1
pytables 3.3.0 np111py36_0
pytest 3.0.5 py36_0
python 3.6.0 0
python-dateutil 2.6.0 py36_0
python.app 1.2 py36_4
pytz 2016.10 py36_0
pyyaml 3.12 py36_0
pyzmq 16.0.2 py36_0
qt 5.6.2 0
qtawesome 0.4.3 py36_0
qtconsole 4.2.1 py36_1
qtpy 1.2.1 py36_0
readline 6.2 2
Redis 3.2.0 0
redis-py 2.10.5 py36_0
请求2.12.4 py36_0
绳0.9.4 py36_1
ruamel_yaml 0.11.14 py36_1
scikit图像0.12.3 np111py36_1
scikit学习0.18.1 np111py36_1
scipy 0.18.1 np111py36_1
西雅图0.7.1 py36_0
setuptools 27.2.0 py36_0
simplegeneric 0.8.1 py36_1
singledispatch 3.4.0.3 py36_0
喝4.18 py36_0
六个1.10.0 py36_0
snowballstemmer 1.2.1 py36_0
sockjs-tornado 1.0.3 py36_0
狮身人面像1.5.1 py36_0
spy 3.1.2 py36_0
sqlalchemy 1.1.5 py36_0
sqlite 3.13.0 0
statsmodels 0.6.1 np111py36_1
sympy 1.0 py36_0
terminado 0.6 py36_0
Theano 0.8.2
tk 8.5.18 0
工具z 0.8.2 py36_0
Tornado 4.4.2 py36_0
特质4.3.1 py36_0
unicodecsv 0.14.1 py36_0
wcwidth 0.1.7 py36_0
werkzeug 0.11.15 py36_0
车轮0.29.0 py36_0
小部件nbextension 1.2.6 py36_0
包裹1.10.8 py36_0
xlrd 1.0.0 py36_0
xlsxwriter 0.9.6 py36_0
xlwings 0.10.2 py36_0
xlwt 1.2.0 py36_0
xz 5.2.2 1
yaml 0.1.6 0
zlib 1.2.8 3

它具有numpy 1.12和python 3.6

Answer 1

激活conda环境

pip安装opencv-python