name: megapixels
channels:
  - pytorch
  - conda-forge
  - alexbw
  - defaults
dependencies:
  - lua=5.3.2=1
  - lua-cwrap=0.1=lua5.3_2
  - lua-paths=0.1=lua5.3_1
  - lua-torch=7.0.3=lua5.3_0
  - luarocks=2.2.1=lua5.3_0
  - ca-certificates=2018.4.16=0
  - mpi=1.0=openmpi
  - openmpi=3.1.0=h26a2512_3
  - _nb_ext_conf=0.4.0=py36_1
  - anaconda-client=1.6.14=py36_0
  - asn1crypto=0.24.0=py36_0
  - backcall=0.1.0=py36_0
  - blas=1.0=mkl
  - bleach=2.1.3=py36_0
  - bzip2=1.0.6=h14c3975_5
  - cairo=1.14.12=h7636065_2
  - certifi=2018.4.16=py36_0
  - cffi=1.11.5=py36h9745a5d_0
  - chardet=3.0.4=py36h0f667ec_1
  - clyent=1.2.2=py36h7e57e65_1
  - cryptography=2.2.2=py36h14c3975_0
  - cudatoolkit=9.0=h13b8566_0
  - decorator=4.3.0=py36_0
  - entrypoints=0.2.3=py36h1aec115_2
  - ffmpeg=4.0=h04d0a96_0
  - fontconfig=2.12.6=h49f89f6_0
  - freetype=2.8=hab7d2ae_1
  - glib=2.56.1=h000015b_0
  - gmp=6.1.2=h6c8ec71_1
  - graphite2=1.3.11=h16798f4_2
  - harfbuzz=1.7.6=h5f0a787_1
  - hdf5=1.10.2=hba1933b_1
  - html5lib=1.0.1=py36h2f9c1c0_0
  - icu=58.2=h9c2bf20_1
  - idna=2.7=py36_0
  - intel-openmp=2018.0.3=0
  - ipykernel=4.8.2=py36_0
  - ipython=6.4.0=py36_0
  - ipython_genutils=0.2.0=py36hb52b0d5_0
  - ipywidgets=7.2.1=py36_0
  - jasper=1.900.1=hd497a04_4
  - jedi=0.12.0=py36_1
  - jinja2=2.10=py36ha16c418_0
  - jpeg=9b=h024ee3a_2
  - jsonschema=2.6.0=py36h006f8b5_0
  - jupyter_client=5.2.3=py36_0
  - jupyter_core=4.4.0=py36h7c827e3_0
  - libedit=3.1.20170329=h6b74fdf_2
  - libffi=3.2.1=hd88cf55_4
  - libgcc-ng=7.2.0=hdf63c60_3
  - libgfortran=3.0.0=1
  - libgfortran-ng=7.2.0=hdf63c60_3
  - libopencv=3.4.1=h1a3b859_1
  - libopus=1.2.1=hb9ed12e_0
  - libpng=1.6.34=hb9fc6fc_0
  - libprotobuf=3.5.2=h6f1eeef_0
  - libsodium=1.0.16=h1bed415_0
  - libstdcxx-ng=7.2.0=hdf63c60_3
  - libtiff=4.0.9=he85c1e1_1
  - libvpx=1.7.0=h439df22_0
  - libxcb=1.13=h1bed415_1
  - libxml2=2.9.8=h26e45fe_1
  - markupsafe=1.0=py36hd9260cd_1
  - mistune=0.8.3=py36h14c3975_1
  - mkl=2018.0.3=1
  - mkl-rt=11.1=p0
  - mkl_fft=1.0.1=py36h3010b51_0
  - mkl_random=1.0.1=py36h629b387_0
  - nb_anacondacloud=1.4.0=py36_0
  - nb_conda=2.2.1=py36h8118bb2_0
  - nb_conda_kernels=2.1.0=py36_0
  - nbconvert=5.3.1=py36hb41ffb7_0
  - nbformat=4.4.0=py36h31c9010_0
  - nbpresent=3.0.2=py36h5f95a39_1
  - ncurses=6.1=hf484d3e_0
  - ninja=1.8.2=py36h6bb024c_1
  - notebook=5.5.0=py36_0
  - numpy=1.14.5=py36hcd700cb_3
  - numpy-base=1.14.5=py36hdbf6ddf_3
  - olefile=0.45.1=py36_0
  - opencv=3.4.1=py36h6fd60c2_2
  - openssl=1.0.2o=h20670df_0
  - pandoc=2.2.1=h629c226_0
  - pandocfilters=1.4.2=py36ha6701b7_1
  - parso=0.2.1=py36_0
  - pcre=8.42=h439df22_0
  - pexpect=4.6.0=py36_0
  - pickleshare=0.7.4=py36h63277f8_0
  - pillow=5.1.0=py36h3deb7b8_0
  - pip=10.0.1=py36_0
  - pixman=0.34.0=hceecf20_3
  - prompt_toolkit=1.0.15=py36h17d85b1_0
  - ptyprocess=0.6.0=py36_0
  - py-opencv=3.4.1=py36h0676e08_1
  - pycparser=2.18=py36hf9f622e_1
  - pygments=2.2.0=py36h0d3125c_0
  - pyopenssl=18.0.0=py36_0
  - pysocks=1.6.8=py36_0
  - python=3.6.6=hc3d631a_0
  - python-dateutil=2.7.3=py36_0
  - pytz=2018.5=py36_0
  - pyyaml=3.12=py36hafb9ca4_1
  - pyzmq=17.0.0=py36h14c3975_0
  - readline=7.0=ha6073c6_4
  - requests=2.19.1=py36_0
  - send2trash=1.5.0=py36_0
  - setuptools=39.2.0=py36_0
  - simplegeneric=0.8.1=py36_2
  - six=1.11.0=py36h372c433_1
  - sqlite=3.24.0=h84994c4_0
  - terminado=0.8.1=py36_1
  - testpath=0.3.1=py36h8cadb63_0
  - tk=8.6.7=hc745277_3
  - tornado=5.0.2=py36_0
  - traitlets=4.3.2=py36h674d592_0
  - urllib3=1.23=py36_0
  - wcwidth=0.1.7=py36hdf4376a_0
  - webencodings=0.5.1=py36h800622e_1
  - wheel=0.31.1=py36_0
  - widgetsnbextension=3.2.1=py36_0
  - xz=5.2.4=h14c3975_4
  - yaml=0.1.7=had09818_2
  - zeromq=4.2.5=h439df22_0
  - zlib=1.2.11=ha838bed_2
  - cuda90=1.0=h6433d27_0
  - pytorch=0.4.0=py36_cuda9.0.176_cudnn7.1.2_1
  - torchvision=0.2.1=py36_1
  - pip:
    - absl-py==0.2.2
    - astor==0.7.1
    - beautifulsoup4==4.6.0
    - blocksparse==1.0.0
    - bs4==0.0.1
    - cachetools==2.1.0
    - click==6.7
    - cloudpickle==0.5.3
    - cycler==0.10.0
    - cython==0.28.4
    - dask==0.18.1
    - dlib==19.15.0
    - flask==1.0.2
    - flask-cors==3.0.6
    - future==0.16.0
    - gast==0.2.0
    - google-api-core==1.4.1
    - google-auth==1.5.1
    - google-cloud-core==0.28.1
    - google-cloud-storage==1.13.0
    - google-images-download==2.3.0
    - google-resumable-media==0.3.1
    - googleapis-common-protos==1.6.0b6
    - grpcio==1.13.0
    - h5py==2.8.0
    - horovod==0.13.8
    - imagehash==4.0
    - imageio==2.3.0
    - imutils==0.4.6
    - itsdangerous==0.24
    - jonasz-master-thesis==0.1
    - keras==2.2.0
    - keras-applications==1.0.2
    - keras-preprocessing==1.0.1
    - kiwisolver==1.0.1
    - lmdb==0.94
    - markdown==2.6.11
    - matplotlib==2.2.2
    - moviepy==0.2.3.5
    - networkx==2.1
    - opencv-python==3.4.2.17
    - pandas==0.23.3
    - protobuf==3.6.0
    - pyasn1==0.4.4
    - pyasn1-modules==0.2.2
    - pyglet==1.3.2
    - pymediainfo==2.3.0
    - pyopengl==3.1.0
    - pyparsing==2.2.0
    - python-slugify==1.2.5
    - pywavefront==0.3.2
    - pywavelets==0.5.2
    - rsa==4.0
    - scikit-image==0.14.0
    - scikit-learn==0.19.2
    - scipy==1.1.0
    - selenium==3.13.0
    - tensorboard==1.8.0
    - tensorflow-gpu==1.8.0
    - termcolor==1.1.0
    - tflearn==0.3.2
    - toolz==0.9.0
    - toposort==1.5
    - torch==0.4.0
    - tqdm==4.23.4
    - unicode==2.6
    - unidecode==1.0.22
    - visvis==1.11.1
    - werkzeug==0.14.1
    - wikipedia==1.4.0
prefix: /home/adam/anaconda3/envs/megapixels