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基于深度学习的人脸检测与识别系统,Pytorch实现。 http://dface.tech
一键复制 编辑 原始数据 按行查看 历史
environment-win64.yml 7.46 KB mazongguang 提交于 2017-12-23 15:27 . Add conda .yml file ,and by using it, we can create a conda enviroment…
name: ai_gpu
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
- peterjc123
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- defaults
dependencies:
- _ipyw_jlab_nb_ext_conf=0.1.0=py36he6757f0_0
- alabaster=0.7.10=py36hcd07829_0
- anaconda-client=1.6.5=py36hd36550c_0
- anaconda-navigator=1.6.10=py36h51c3d4f_0
- anaconda-project=0.8.0=py36h8b3bf89_0
- asn1crypto=0.22.0=py36h8e79faa_1
- astroid=1.5.3=py36h9d85297_0
- astropy=2.0.2=py36h06391c4_4
- babel=2.5.0=py36h35444c1_0
- backports=1.0=py36h81696a8_1
- backports.shutil_get_terminal_size=1.0.0=py36h79ab834_2
- beautifulsoup4=4.6.0=py36hd4cc5e8_1
- bitarray=0.8.1=py36h6af124b_0
- bkcharts=0.2=py36h7e685f7_0
- blaze=0.11.3=py36h8a29ca5_0
- bleach=2.0.0=py36h0a7e3d6_0
- bokeh=0.12.10=py36h0be3b39_0
- boto=2.48.0=py36h1a776d2_1
- bottleneck=1.2.1=py36hd119dfa_0
- bzip2=1.0.6=vc14hdec8e7a_1
- ca-certificates=2017.08.26=h94faf87_0
- cachecontrol=0.12.3=py36hfe50d7b_0
- certifi=2017.7.27.1=py36h043bc9e_0
- chardet=3.0.4=py36h420ce6e_1
- click=6.7=py36hec8c647_0
- cloudpickle=0.4.0=py36h639d8dc_0
- clyent=1.2.2=py36hb10d595_1
- colorama=0.3.9=py36h029ae33_0
- comtypes=1.1.2=py36heb9b3d1_0
- conda-verify=2.0.0=py36h065de53_0
- console_shortcut=0.1.1=h6bb2dd7_3
- contextlib2=0.5.5=py36he5d52c0_0
- cryptography=2.0.3=py36h123decb_1
- curl=7.55.1=vc14hdaba4a4_3
- cycler=0.10.0=py36h009560c_0
- cython=0.26.1=py36h18049ac_0
- cytoolz=0.8.2=py36h547e66e_0
- dask=0.15.3=py36h396fcb9_0
- dask-core=0.15.3=py36hd651449_0
- datashape=0.5.4=py36h5770b85_0
- decorator=4.1.2=py36he63a57b_0
- distlib=0.2.5=py36h51371be_0
- distributed=1.19.1=py36h8504682_0
- docutils=0.14=py36h6012d8f_0
- entrypoints=0.2.3=py36hfd66bb0_2
- et_xmlfile=1.0.1=py36h3d2d736_0
- fastcache=1.0.2=py36hffdae1b_0
- filelock=2.0.12=py36hd7ddd41_0
- flask=0.12.2=py36h98b5e8f_0
- flask-cors=3.0.3=py36h8a3855d_0
- freetype=2.8=vc14h17c9bdf_0
- get_terminal_size=1.0.0=h38e98db_0
- gevent=1.2.2=py36h342a76c_0
- glob2=0.5=py36h11cc1bd_1
- greenlet=0.4.12=py36ha00ad21_0
- h5py=2.7.0=py36hfbe0a52_1
- hdf5=1.10.1=vc14hb361328_0
- heapdict=1.0.0=py36h21fa5f4_0
- html5lib=0.999999999=py36ha09b1f3_0
- icc_rt=2017.0.4=h97af966_0
- icu=58.2=vc14hc45fdbb_0
- idna=2.6=py36h148d497_1
- imageio=2.2.0=py36had6c2d2_0
- imagesize=0.7.1=py36he29f638_0
- intel-openmp=2018.0.0=hcd89f80_7
- ipykernel=4.6.1=py36hbb77b34_0
- ipython=6.1.0=py36h236ecc8_1
- ipython_genutils=0.2.0=py36h3c5d0ee_0
- ipywidgets=7.0.0=py36h2e74ada_0
- isort=4.2.15=py36h6198cc5_0
- itsdangerous=0.24=py36hb6c5a24_1
- jdcal=1.3=py36h64a5255_0
- jedi=0.10.2=py36hed927a0_0
- jinja2=2.9.6=py36h10aa3a0_1
- jpeg=9b=vc14h4d7706e_1
- jsonschema=2.6.0=py36h7636477_0
- jupyter=1.0.0=py36h422fd7e_2
- jupyter_client=5.1.0=py36h9902a9a_0
- jupyter_console=5.2.0=py36h6d89b47_1
- jupyter_core=4.3.0=py36h511e818_0
- jupyterlab=0.27.0=py36h34cc53b_2
- jupyterlab_launcher=0.4.0=py36h22c3ccf_0
- lazy-object-proxy=1.3.1=py36hd1c21d2_0
- libiconv=1.15=vc14h29686d3_5
- libpng=1.6.32=vc14h5163883_3
- libssh2=1.8.0=vc14hcf584a9_2
- libtiff=4.0.9=h0f13578_0
- libxml2=2.9.4=vc14h8fd0f11_5
- libxslt=1.1.29=vc14hf85b8d4_5
- llvmlite=0.20.0=py36_0
- locket=0.2.0=py36hfed976d_1
- lockfile=0.12.2=py36h0468280_0
- lxml=4.1.0=py36h0dcd83c_0
- lzo=2.10=vc14h0a64fa6_1
- markupsafe=1.0=py36h0e26971_1
- matplotlib=2.1.0=py36h11b4b9c_0
- mccabe=0.6.1=py36hb41005a_1
- menuinst=1.4.10=py36h42196fb_0
- mistune=0.7.4=py36h4874169_0
- mpmath=0.19=py36he326802_2
- msgpack-python=0.4.8=py36h58b1e9d_0
- multipledispatch=0.4.9=py36he44c36e_0
- navigator-updater=0.1.0=py36h8a7b86b_0
- nbconvert=5.3.1=py36h8dc0fde_0
- nbformat=4.4.0=py36h3a5bc1b_0
- networkx=2.0=py36hff991e3_0
- nltk=3.2.4=py36hd0e0a39_0
- nose=1.3.7=py36h1c3779e_2
- notebook=5.0.0=py36hd9fbf6f_2
- numba=0.35.0=np113py36_10
- numpydoc=0.7.0=py36ha25429e_0
- odo=0.5.1=py36h7560279_0
- olefile=0.44=py36h0a7bdd2_0
- opencv=3.3.1=py36h20b85fd_1
- openpyxl=2.4.8=py36hf3b77f6_1
- openssl=1.0.2l=vc14hcac20b0_2
- packaging=16.8=py36ha0986f6_1
- pandas=0.20.3=py36hce827b7_2
- pandoc=1.19.2.1=hb2460c7_1
- pandocfilters=1.4.2=py36h3ef6317_1
- partd=0.3.8=py36hc8e763b_0
- path.py=10.3.1=py36h3dd8b46_0
- pathlib2=2.3.0=py36h7bfb78b_0
- patsy=0.4.1=py36h42cefec_0
- pep8=1.7.0=py36h0f3d67a_0
- pickleshare=0.7.4=py36h9de030f_0
- pillow=4.2.1=py36hdb25ab2_0
- pip=9.0.1=py36hadba87b_3
- pkginfo=1.4.1=py36hb0f9cfa_1
- ply=3.10=py36h1211beb_0
- progress=1.3=py36hbeca8d3_0
- prompt_toolkit=1.0.15=py36h60b8f86_0
- psutil=5.4.0=py36h4e662fb_0
- py=1.4.34=py36ha4aca3a_1
- pycodestyle=2.3.1=py36h7cc55cd_0
- pycosat=0.6.2=py36hf17546d_1
- pycparser=2.18=py36hd053e01_1
- pycrypto=2.6.1=py36he68e6e2_1
- pycurl=7.43.0=py36h086bf4c_3
- pyflakes=1.6.0=py36h0b975d6_0
- pygments=2.2.0=py36hb010967_0
- pylint=1.7.4=py36ha4e6ded_0
- pyodbc=4.0.17=py36h0006bc2_0
- pyopenssl=17.2.0=py36h15ca2fc_0
- pyparsing=2.2.0=py36h785a196_1
- pyqt=5.6.0=py36hb5ed885_5
- pysocks=1.6.7=py36h698d350_1
- pytables=3.4.2=py36h71138e3_2
- pytest=3.2.1=py36h753b05e_1
- python=3.6.3=h9e2ca53_1
- python-dateutil=2.6.1=py36h509ddcb_1
- pytz=2017.2=py36h05d413f_1
- pywavelets=0.5.2=py36hc649158_0
- pywin32=221=py36h9c10281_0
- pyyaml=3.12=py36h1d1928f_1
- pyzmq=16.0.2=py36h38c27d9_2
- qt=5.6.2=vc14h6f8c307_12
- qtawesome=0.4.4=py36h5aa48f6_0
- qtconsole=4.3.1=py36h99a29a9_0
- qtpy=1.3.1=py36hb8717c5_0
- requests=2.18.4=py36h4371aae_1
- rope=0.10.5=py36hcaf5641_0
- ruamel_yaml=0.11.14=py36h9b16331_2
- scikit-image=0.13.0=py36h6dffa3f_1
- seaborn=0.8.0=py36h62cb67c_0
- setuptools=36.5.0=py36h65f9e6e_0
- simplegeneric=0.8.1=py36heab741f_0
- singledispatch=3.4.0.3=py36h17d0c80_0
- sip=4.18.1=py36h9c25514_2
- six=1.11.0=py36h4db2310_1
- snowballstemmer=1.2.1=py36h763602f_0
- sortedcollections=0.5.3=py36hbefa0ab_0
- sortedcontainers=1.5.7=py36ha90ac20_0
- sphinx=1.6.3=py36h9bb690b_0
- sphinxcontrib=1.0=py36hbbac3d2_1
- sphinxcontrib-websupport=1.0.1=py36hb5e5916_1
- spyder=3.2.4=py36h8845eaa_0
- sqlalchemy=1.1.13=py36h5948d12_0
- sqlite=3.20.1=vc14h7ce8c62_1
- statsmodels=0.8.0=py36h6189b4c_0
- sympy=1.1.1=py36h96708e0_0
- tblib=1.3.2=py36h30f5020_0
- testpath=0.3.1=py36h2698cfe_0
- tk=8.6.7=vc14hb68737d_1
- toolz=0.8.2=py36he152a52_0
- tornado=4.5.2=py36h57f6048_0
- traitlets=4.3.2=py36h096827d_0
- typing=3.6.2=py36hb035bda_0
- unicodecsv=0.14.1=py36h6450c06_0
- urllib3=1.22=py36h276f60a_0
- vs2015_runtime=14.0.25123=hd4c4e62_2
- wcwidth=0.1.7=py36h3d5aa90_0
- webencodings=0.5.1=py36h67c50ae_1
- werkzeug=0.12.2=py36h866a736_0
- wheel=0.29.0=py36h6ce6cde_1
- widgetsnbextension=3.0.2=py36h364476f_1
- win_inet_pton=1.0.1=py36he67d7fd_1
- win_unicode_console=0.5=py36hcdbd4b5_0
- wincertstore=0.2=py36h7fe50ca_0
- wrapt=1.10.11=py36he5f5981_0
- xlrd=1.1.0=py36h1cb58dc_1
- xlsxwriter=1.0.2=py36hf723b7d_0
- xlwings=0.11.4=py36hd3cf94d_0
- xlwt=1.3.0=py36h1a4751e_0
- yaml=0.1.7=vc14hb31d195_1
- zict=0.1.3=py36h2d8e73e_0
- zlib=1.2.11=vc14h1cdd9ab_1
- anaconda=custom=py36_0
- cffi=1.10.0=py36_0
- mkl=2017.0.3=0
- mkl-service=1.1.2=py36_3
- numexpr=2.6.2=np113py36_0
- numpy=1.13.1=py36_0
- scikit-learn=0.19.0=np113py36_0
- scipy=0.19.1=np113py36_0
- cuda80=1.0=h205658b_0
- pytorch=0.3.0=py36_0.3.0cu80
- vc=14.1=h21ff451_0
- vs2017_runtime=15.4.27004.2010=0
- pip:
- backports.shutil-get-terminal-size==1.0.0
- et-xmlfile==1.0.1
- ipython-genutils==0.2.0
- jupyter-client==5.1.0
- jupyter-console==5.2.0
- jupyter-core==4.3.0
- jupyterlab-launcher==0.4.0
- prompt-toolkit==1.0.15
- ruamel-yaml==0.11.14
- tables==3.4.2
- torch==0.3.0b0+591e73e
- torchvision==0.2.0
- win-inet-pton==1.0.1
- win-unicode-console==0.5
prefix: D:\Tools\Anaconda3\envs\ai_gpu

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