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nthistle authored Aug 13, 2018
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# em-gan-hotknife

GAN to generate artificial electron microscopy data to "fill in" the cut left by hot knife in FIB-SEM

## Conda packages what **should** be necessary
(python 3.6.6 w conda)

pandas
pillow
scipy
z5py
h5py
tensorflow-gpu
keras


## Conda packages full list
absl-py 0.2.2 <pip>
astor 0.7.1 <pip>
boost 1.66.0 py36_1 conda-forge
boost-cpp 1.66.0 1 conda-forge
bzip2 1.0.6 h470a237_2 conda-forge
c-blosc 1.10.2 0
ca-certificates 2018.03.07 0 anaconda
certifi 2018.4.16 py36_0 anaconda
cudatoolkit 9.0 h13b8566_0 anaconda
cudnn 7.1.2 cuda9.0_0 anaconda
gast 0.2.0 <pip>
grpcio 1.13.0 <pip>
h5py 2.8.0 py36h8d01980_0
hdf5 1.10.2 hba1933b_1
icu 58.2 hfc679d8_0 conda-forge
Keras 2.2.0 <pip>
Keras-Applications 1.0.2 <pip>
Keras-Preprocessing 1.0.1 <pip>
libedit 3.1.20170329 h6b74fdf_2
libffi 3.2.1 hd88cf55_4
libgcc-ng 7.2.0 hdf63c60_3
libgfortran-ng 7.2.0 hdf63c60_3
libopenblas 0.2.20 h9ac9557_7
libstdcxx-ng 7.2.0 hdf63c60_3
Markdown 2.6.11 <pip>
ncurses 6.1 hf484d3e_0
numpy 1.14.3 py36h28100ab_2
numpy-base 1.14.3 py36h0ea5e3f_1
openssl 1.0.2o h20670df_0 anaconda
pandas 0.23.3 <pip>
Pillow 5.2.0 <pip>
pip 10.0.1 py36_0
protobuf 3.6.0 <pip>
python 3.6.6 hc3d631a_0
python-dateutil 2.7.3 <pip>
pytz 2018.5 <pip>
PyYAML 3.13 <pip>
readline 7.0 ha6073c6_4
scipy 1.1.0 <pip>
setuptools 39.2.0 py36_0
setuptools 39.1.0 <pip>
six 1.11.0 py36_1 conda-forge
sqlite 3.24.0 h84994c4_0
tensorboard 1.9.0 <pip>
tensorflow-gpu 1.9.0 <pip>
termcolor 1.1.0 <pip>
tk 8.6.7 hc745277_3
Werkzeug 0.14.1 <pip>
wheel 0.31.1 py36_0
xz 5.2.4 h14c3975_4
z5py 0.5.1.post2 py36_0_gb9ba056 cpape
zlib 1.2.11 ha838bed_2

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