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Update README and requirements

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Ruben van de Ven 2020-01-28 21:16:50 +01:00
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README.md
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Enable virtualenv and run:
Turn numbered svgs into usable arrays: Turn numbered svgs into usable arrays:
``` ```
python create_dataset.py --dataset_dir datasets/naam6/ python create_dataset.py --dataset_dir datasets/naam6/
``` ```
Train algorithm: (save often, as we'll use the intermediate steps) Train algorithm: (save often, as we'll use the intermediate steps)
``` ```
#sketch_rnn_train --log_root=models/naam6 --data_dir=datasets/naam6 --hparams="data_set=[diede.npz,blokletters.npz],dec_model=layer_norm,dec_rnn_size=450,enc_model=layer_norm,enc_rnn_size=300,save_every=50,grad_clip=1.0,use_recurrent_dropout=0,conditional=True,num_steps=5000" #sketch_rnn_train --log_root=models/naam6 --data_dir=datasets/naam6 --hparams="data_set=[diede.npz,blokletters.npz],dec_model=layer_norm,dec_rnn_size=450,enc_model=layer_norm,enc_rnn_size=300,save_every=50,grad_clip=1.0,use_recurrent_dropout=0,conditional=True,num_steps=5000"
sketch_rnn_train --log_root=models/naam6 --data_dir=datasets/naam6 --hparams="data_set=[diede.npz,blokletters.npz],dec_model=layer_norm,dec_rnn_size=450,enc_model=layer_norm,enc_rnn_size=300,save_every=50,grad_clip=1.0,use_recurrent_dropout=0,conditional=True,num_steps=5000 sketch_rnn_train --log_root=models/naam6 --data_dir=datasets/naam6 --hparams="data_set=[diede.npz,blokletters.npz],dec_model=layer_norm,dec_rnn_size=450,enc_model=layer_norm,enc_rnn_size=300,save_every=50,grad_clip=1.0,use_recurrent_dropout=0,conditional=True,num_steps=5000

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requirements.txt Normal file
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audioread==2.1.8
backports.tempfile==1.0
backports.weakref==1.0.post1
bokeh==1.3.4
bz2file==0.98
cachetools==3.1.1
cffi==1.12.3
dill==0.3.0
dopamine-rl==2.0.5
Flask==1.1.1
gevent==1.4.0
gin-config==0.2.0
google-api-python-client==1.7.11
google-auth==1.6.3
google-auth-httplib2==0.0.3
googleapis-common-protos==1.6.0
greenlet==0.4.15
gunicorn==19.9.0
gym==0.14.0
intervaltree==3.0.2
itsdangerous==1.1.0
kfac==0.2.0
librosa==0.7.0
llvmlite==0.29.0
magenta==1.1.2
mesh-tensorflow==0.0.5
mido==1.2.6
mir-eval==0.5
mpmath==1.1.0
networkx==1.8.1
numba==0.45.1
oauth2client==4.1.3
opencv-python==4.1.0.25
packaging==19.1
pkg-resources==0.0.0
pretty-midi==0.2.8
promise==2.2.1
pycparser==2.19
pyglet==1.3.2
pygtrie==2.3.2
pypng==0.0.20
python-rtmidi==1.1.2
rdp==0.8
resampy==0.2.2
rsa==4.0
sk-video==1.1.10
sonnet==0.1.6
SoundFile==0.10.2
sox==1.3.7
sympy==1.4
tensor2tensor==1.13.4
tensorflow-datasets==1.2.0
tensorflow-metadata==0.14.0
tensorflow-probability==0.7.0
uritemplate==3.0.0