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requirements.txt
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136 lines (136 loc) · 3.4 KB
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: win-64
_tflow_select=2.1.0=gpu
absl-py=0.7.1=py36_0
alabaster=0.7.12=py_0
asn1crypto=0.24.0=py36_0
astor=0.8.0=py36_0
babel=2.7.0=py_0
blas=1.0=mkl
ca-certificates=2019.6.16=hecc5488_0
certifi=2019.6.16=py36_1
cffi=1.12.3=py36h7a1dbc1_0
chardet=3.0.4=py36_1003
click=7.0=py36_0
cloudpickle=1.2.1=py_0
cryptography=2.7=py36h7a1dbc1_0
cudatoolkit=10.0.130=0
cudnn=7.6.0=cuda10.0_0
cycler=0.10.0=py_1
cytoolz=0.10.0=py36hfa6e2cd_0
dask-core=2.3.0=py_0
decorator=4.4.0=py_0
docutils=0.15.2=py36_0
easydict=1.9=py_0
flask=1.1.1=py_0
freetype=2.10.0=h563cfd7_1
gast=0.2.2=py36_0
geos=3.7.2=habb2df7_1
grpcio=1.22.0=py36h3db2c7e_0
h5py=2.9.0=py36h5e291fa_0
hdf5=1.10.4=h7ebc959_0
icc_rt=2019.0.0=h0cc432a_1
icu=64.2=he025d50_1
idna=2.8=py36_0
imageio=2.5.0=py36_0
imagesize=1.1.0=py_0
imgaug=0.2.9=py_1
intel-openmp=2019.4=245
itsdangerous=1.1.0=py36_0
jinja2=2.10.1=py36_0
joblib=0.13.2=py36_0
jpeg=9c=hfa6e2cd_1001
keras=2.2.4=0
keras-applications=1.0.8=py_0
keras-base=2.2.4=py36_0
keras-preprocessing=1.1.0=py_1
kiwisolver=1.1.0=py36he980bc4_0
libblas=3.8.0=12_mkl
libcblas=3.8.0=12_mkl
libclang=8.0.1=he980bc4_0
liblapack=3.8.0=12_mkl
liblapacke=3.8.0=12_mkl
libpng=1.6.37=h7602738_0
libprotobuf=3.8.0=h7bd577a_0
libtiff=4.0.10=h6512ee2_1003
libwebp=1.0.2=hfa6e2cd_2
lz4-c=1.8.3=he025d50_1001
m2w64-gcc-libgfortran=5.3.0=6
m2w64-gcc-libs=5.3.0=7
m2w64-gcc-libs-core=5.3.0=7
m2w64-gmp=6.1.0=2
m2w64-libwinpthread-git=5.0.0.4634.697f757=2
markdown=3.1.1=py36_0
markupsafe=1.1.1=py36he774522_0
matplotlib=3.1.1=py36_1
matplotlib-base=3.1.1=py36h2852a4a_1
mkl=2019.4=245
mkl-service=2.0.2=py36he774522_0
mkl_fft=1.0.14=py36h14836fe_0
mkl_random=1.0.2=py36h343c172_0
msys2-conda-epoch=20160418=1
networkx=2.3=py_0
numpy=1.16.4=py36h19fb1c0_0
numpy-base=1.16.4=py36hc3f5095_0
olefile=0.46=py_0
opencv=4.1.1=py36h6afde12_1
openssl=1.1.1c=hfa6e2cd_0
packaging=19.0=py_0
pillow=6.1.0=py36h643dfcc_1
pip=19.2.3=py36_0
protobuf=3.8.0=py36h33f27b4_0
pycparser=2.19=py36_0
pygments=2.4.2=py_0
pyopenssl=19.0.0=py36_0
pyparsing=2.4.2=py_0
pyqt=5.9.2=py36h6538335_2
pyreadline=2.1=py36_1
pysocks=1.7.0=py36_0
python=3.6.7=he025d50_1005
python-dateutil=2.8.0=py_0
pytz=2019.2=py_0
pywavelets=1.0.3=py36h452e1ab_1
pyyaml=5.1.2=py36he774522_0
qt=5.9.7=h506e8af_3
requests=2.22.0=py36_0
requests-toolbelt=0.9.1=py_0
scikit-image=0.15.0=py36he350917_2
scikit-learn=0.21.2=py36h6288b17_0
scipy=1.3.1=py36h29ff71c_0
setuptools=41.2.0=py36_0
shapely=1.6.4=py36ha35856d_1006
sip=4.19.8=py36h6538335_1000
six=1.12.0=py36_0
snowballstemmer=1.9.0=py_0
sphinx=2.2.0=py_0
sphinxcontrib-applehelp=1.0.1=py_0
sphinxcontrib-devhelp=1.0.1=py_0
sphinxcontrib-htmlhelp=1.0.2=py_0
sphinxcontrib-jsmath=1.0.1=py_0
sphinxcontrib-qthelp=1.0.2=py_0
sphinxcontrib-serializinghtml=1.1.1=py_0
sqlite=3.29.0=hfa6e2cd_0
tensorboard=1.14.0=py36he3c9ec2_0
tensorflow=1.14.0=gpu_py36h305fd99_0
tensorflow-base=1.14.0=gpu_py36h55fc52a_0
tensorflow-estimator=1.14.0=py_0
tensorflow-gpu=1.14.0=h0d30ee6_0
termcolor=1.1.0=py36_1
tk=8.6.9=hfa6e2cd_1002
toolz=0.10.0=py_0
tornado=6.0.3=py36hfa6e2cd_0
tqdm=4.35.0=py_0
urllib3=1.24.2=py36_0
vc=14.1=h21ff451_3
vs2015_runtime=15.5.2=3
waitress=1.2.1=py36_0
werkzeug=0.15.5=py_0
wheel=0.33.6=py36_0
win_inet_pton=1.1.0=py36_0
wincertstore=0.2=py36_1002
wrapt=1.11.2=py36he774522_0
xz=5.2.4=h2fa13f4_1001
yaml=0.1.7=hc54c509_2
zlib=1.2.11=h62dcd97_3
zstd=1.4.0=hd8a0e53_0