Improve instructions to train custom models so a new file is output and existing one is not loaded. Use --model parameter!
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@@ -58,16 +58,19 @@ Pre-trained models are provided in the GitHub releases. Training your own is a
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rm -f ne4x*.pkl.bz2
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# Pre-train the model using perceptual loss from paper [1] below.
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python3.4 enhance.py --train "data/*.jpg" --scales=2 --epochs=50 \
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python3.4 enhance.py --train "data/*.jpg" --model custom --scales=2 --epochs=50 \
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--perceptual-layer=conv2_2 --smoothness-weight=1e7 --adversary-weight=0.0 \
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--generator-blocks=4 --generator-filters=64
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# Train the model using an adversarial setup based on [4] below.
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python3.4 enhance.py --train "data/*.jpg" --scales=2 --epochs=250 \
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python3.4 enhance.py --train "data/*.jpg" --model custom --scales=2 --epochs=250 \
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--perceptual-layer=conv5_2 --smoothness-weight=2e4 --adversary-weight=2e5 \
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--generator-start=5 --discriminator-start=0 --adversarial-start=5 \
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--discriminator-size=64
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# The newly trained model is output into this file...
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ls ne4x-custom-*.pkl.bz2
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.. image:: docs/BankLobby_example.gif
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