Update README and requirements
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Enable virtualenv and run:
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Turn numbered svgs into usable arrays:
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```
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python create_dataset.py --dataset_dir datasets/naam6/
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```
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Train algorithm: (save often, as we'll use the intermediate steps)
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Train algorithm: (save often, as we'll use the intermediate steps)
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```
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#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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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
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55
requirements.txt
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audioread==2.1.8
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backports.tempfile==1.0
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backports.weakref==1.0.post1
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bokeh==1.3.4
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bz2file==0.98
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cachetools==3.1.1
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cffi==1.12.3
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dill==0.3.0
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dopamine-rl==2.0.5
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Flask==1.1.1
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gevent==1.4.0
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gin-config==0.2.0
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google-api-python-client==1.7.11
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google-auth==1.6.3
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google-auth-httplib2==0.0.3
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googleapis-common-protos==1.6.0
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greenlet==0.4.15
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gunicorn==19.9.0
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gym==0.14.0
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intervaltree==3.0.2
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itsdangerous==1.1.0
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kfac==0.2.0
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librosa==0.7.0
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llvmlite==0.29.0
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magenta==1.1.2
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mesh-tensorflow==0.0.5
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mido==1.2.6
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mir-eval==0.5
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mpmath==1.1.0
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networkx==1.8.1
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numba==0.45.1
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oauth2client==4.1.3
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opencv-python==4.1.0.25
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packaging==19.1
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pkg-resources==0.0.0
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pretty-midi==0.2.8
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promise==2.2.1
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pycparser==2.19
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pyglet==1.3.2
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pygtrie==2.3.2
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pypng==0.0.20
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python-rtmidi==1.1.2
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rdp==0.8
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resampy==0.2.2
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rsa==4.0
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sk-video==1.1.10
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sonnet==0.1.6
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SoundFile==0.10.2
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sox==1.3.7
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sympy==1.4
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tensor2tensor==1.13.4
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tensorflow-datasets==1.2.0
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tensorflow-metadata==0.14.0
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tensorflow-probability==0.7.0
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uritemplate==3.0.0
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