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Merge pull request #47 from alexjc/v0.2
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Release 0.2: Tiled Rendering, 1:1 Noise/Blur Fixing
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alexjc authored Nov 3, 2016
2 parents 0c31e53 + 03914db commit b24fa74
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Showing 6 changed files with 201 additions and 88 deletions.
5 changes: 2 additions & 3 deletions docker-cpu.df
Original file line number Diff line number Diff line change
Expand Up @@ -26,9 +26,8 @@ RUN /opt/conda/bin/python3.5 -m pip install -q -r "requirements.txt"
COPY enhance.py .

# Get a pre-trained neural networks, non-commercial & attribution.
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.1/ne4x-small-0.1.pkl.bz2"
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.1/ne4x-medium-0.1.pkl.bz2"
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.1/ne4x-large-0.1.pkl.bz2"
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.2/ne1x-small-0.2.pkl.bz2"
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.2/ne2x-small-0.2.pkl.bz2"

# Set an entrypoint to the main enhance.py script
ENTRYPOINT ["/opt/conda/bin/python3.5", "enhance.py", "--device=cpu"]
5 changes: 2 additions & 3 deletions docker-gpu.df
Original file line number Diff line number Diff line change
Expand Up @@ -24,9 +24,8 @@ RUN /opt/conda/bin/python3.5 -m pip install -q -r "requirements.txt"
COPY enhance.py .

# Get a pre-trained neural networks, non-commercial & attribution.
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.1/ne4x-small-0.1.pkl.bz2"
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.1/ne4x-medium-0.1.pkl.bz2"
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.1/ne4x-large-0.1.pkl.bz2"
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.2/ne1x-small-0.2.pkl.bz2"
RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.2/ne2x-small-0.2.pkl.bz2"

# Set an entrypoint to the main enhance.py script
ENTRYPOINT ["/opt/conda/bin/python3.5", "enhance.py", "--device=gpu"]
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