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cvenv.yml
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name: cvenv
channels:
- conda-forge
- pytorch
- anaconda
- defaults
dependencies:
- anaconda=custom=py36hbbc8b67_0
- backcall=0.1.0=py36_0
- bleach=3.1.0=py36_0
- dbus=1.13.2=h714fa37_1
- decorator=4.3.0=py36_0
- entrypoints=0.2.3=py36_2
- expat=2.2.6=he6710b0_0
- fontconfig=2.13.0=h9420a91_0
- freetype=2.9.1=h8a8886c_1
- glib=2.56.2=hd408876_0
- gst-plugins-base=1.14.0=hbbd80ab_1
- gstreamer=1.14.0=hb453b48_1
- ipykernel=5.1.0=py36h39e3cac_0
- ipython=7.2.0=py36h39e3cac_0
- ipython_genutils=0.2.0=py36_0
- ipywidgets=7.4.2=py36_0
- jedi=0.13.1=py36_0
- jinja2=2.10=py36_0
- jsonschema=2.6.0=py36_0
- jupyter=1.0.0=py36_7
- jupyter_client=5.2.4=py36_0
- jupyter_console=6.0.0=py36_0
- jupyter_core=4.4.0=py36_0
- libedit=3.1.20170329=h6b74fdf_2
- libgcc-ng=8.2.0=hdf63c60_1
- libpng=1.6.36=hbc83047_0
- libsodium=1.0.16=h1bed415_0
- libstdcxx-ng=8.2.0=hdf63c60_1
- libuuid=1.0.3=h1bed415_2
- libxcb=1.13=h1bed415_1
- libxml2=2.9.8=h26e45fe_1
- markupsafe=1.1.0=py36h7b6447c_0
- mistune=0.8.4=py36h7b6447c_0
- nbconvert=5.3.1=py36_0
- nbformat=4.4.0=py36_0
- ncurses=6.1=he6710b0_1
- notebook=5.7.4=py36_0
- pandoc=2.2.3.2=0
- pandocfilters=1.4.2=py36_1
- parso=0.3.1=py36_0
- pcre=8.42=h439df22_0
- pexpect=4.6.0=py36_0
- pickleshare=0.7.5=py36_0
- pip=18.1=py36_0
- prometheus_client=0.5.0=py36_0
- prompt_toolkit=2.0.7=py36_0
- ptyprocess=0.6.0=py36_0
- pygments=2.2.0=py36_0
- pyqt=5.9.2=py36h05f1152_2
- python-dateutil=2.7.5=py36_0
- pyzmq=17.1.2=py36h14c3975_0
- qt=5.9.7=h5867ecd_1
- qtconsole=4.4.3=py36_0
- readline=7.0=h7b6447c_5
- send2trash=1.5.0=py36_0
- setuptools=40.6.2=py36_0
- sip=4.19.8=py36hf484d3e_0
- six=1.11.0=py36_1
- sqlite=3.25.3=h7b6447c_0
- terminado=0.8.1=py36_1
- testpath=0.4.2=py36_0
- tk=8.6.8=hbc83047_0
- tornado=5.1.1=py36h7b6447c_0
- traitlets=4.3.2=py36_0
- wcwidth=0.1.7=py36_0
- webencodings=0.5.1=py36_1
- wheel=0.32.3=py36_0
- widgetsnbextension=3.4.2=py36_0
- xz=5.2.4=h14c3975_4
- zeromq=4.2.5=hf484d3e_1
- zlib=1.2.11=h7b6447c_3
- tqdm=4.32.1=py_0
- blas=1.0=mkl
- ca-certificates=2018.03.07=0
- certifi=2018.11.29=py36_0
- cffi=1.12.3=py36h2e261b9_0
- cudatoolkit=10.0.130=0
- gmp=6.1.2=h6c8ec71_1
- icu=58.2=h9c2bf20_1
- intel-openmp=2019.3=199
- jpeg=9b=h024ee3a_2
- libffi=3.2.1=hd88cf55_4
- libgfortran-ng=7.3.0=hdf63c60_0
- libtiff=4.0.10=h2733197_2
- mkl=2019.3=199
- mkl_fft=1.0.12=py36ha843d7b_0
- mkl_random=1.0.2=py36hd81dba3_0
- ninja=1.9.0=py36hfd86e86_0
- numpy=1.16.3=py36h7e9f1db_0
- numpy-base=1.16.3=py36hde5b4d6_0
- olefile=0.46=py36_0
- openssl=1.1.1a=h7b6447c_0
- pillow=6.0.0=py36h34e0f95_0
- pycparser=2.19=py36_0
- python=3.6.7=h0371630_0
- zstd=1.3.7=h0b5b093_0
- pytorch=1.0.1=py3.6_cuda10.0.130_cudnn7.4.2_2
- torchvision=0.2.2=py_3
- pip:
- absl-py==0.6.1
- astor==0.7.1
- chardet==3.0.4
- click==7.0
- cloudpickle==0.6.1
- contextlib2==0.5.5
- cycler==0.10.0
- cython==0.29.2
- dask==1.0.0
- defusedxml==0.5.0
- dnspython==1.16.0
- enum34==1.1.6
- eventlet==0.24.1
- func-timeout==4.3.0
- gast==0.2.0
- greenlet==0.4.15
- grpcio==1.17.1
- h5py==2.9.0
- html5lib==0.9999999
- idna==2.8
- itsdangerous==1.1.0
- jupyterlab==0.35.2
- jupyterlab-server==0.2.0
- keras==2.2.4
- keras-applications==1.0.6
- keras-preprocessing==1.0.5
- kiwisolver==1.0.1
- lxml==4.2.4
- markdown==3.0.1
- matplotlib==3.0.2
- mock==2.0.0
- monotonic==1.5
- networkx==2.2
- opencv-python==3.4.4.19
- pandas==0.23.4
- pbr==5.1.3
- protobuf==3.6.1
- pyparsing==2.3.0
- pyqt5==5.10.1
- pytz==2018.7
- pywavelets==1.0.1
- pyyaml==3.13
- requests==2.21.0
- scikit-image==0.14.1
- scikit-learn==0.20.1
- scipy==1.1.0
- simplegeneric==0.8.1
- tensorboard==1.13.1
- tensorflow-estimator==1.13.0
- tensorflow-gpu==1.13.1
- tensorflow-tensorboard==0.4.0
- termcolor==1.1.0
- toolz==0.9.0
- torch==1.0.1.post2
- urllib3==1.24.1
- werkzeug==0.14.1
prefix: /home/darshan/anaconda3/envs/cvenv