Switchy to pyenv and poetry
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.python-version
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.python-version
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3.7.10
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README.md
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README.md
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Enable virtualenv and run:
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Use pyenv and poetry to set up virtualenv and run:
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```
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pyenv shell
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poetry install
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```
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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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```
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```
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Train algorithm: (save often, as we'll use the intermediate steps)
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```bash
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poetry shell
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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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sketch_rnn_train --log_root=models/naam6 --data_dir=datasets/naam6 --hparams="data_set=[diede.npz,blokletters.npz,pleun.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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```
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Generate a card:
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poetry.lock
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poetry.lock
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19
pyproject.toml
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pyproject.toml
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[tool.poetry]
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name = "birthcard"
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version = "0.1.0"
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description = ""
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authors = ["Ruben van de Ven <git@rubenvandeven.com>"]
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[tool.poetry.dependencies]
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python = "~3.7"
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magenta = "^1.3"
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ipykernel = "^5.5.3"
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notebook = "^6.3.0"
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svgwrite = "^1.4.1"
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tensorflow-gpu = "~=1.15.5"
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[tool.poetry.dev-dependencies]
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[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"
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