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https://github.com/hzwer/ECCV2022-RIFE.git
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Dockerfile now uses the same train_log folder as the scripts
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@@ -81,7 +81,7 @@ ffmpeg -r 10 -f image2 -i output/img%d.png -s 448x256 -vf "split[s0][s1];[s0]pal
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```
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```
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### Run in docker
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### Run in docker
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Place the pre-trained models in the `./docker/pretrained_models directory`
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Place the pre-trained models in `train_log/\*.pkl` (as above)
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Building the container:
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Building the container:
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```
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```
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@@ -15,7 +15,7 @@ ADD docker/inference_video /usr/local/bin/inference_video
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RUN chmod +x /usr/local/bin/inference_video
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RUN chmod +x /usr/local/bin/inference_video
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# add pre-trained models
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# add pre-trained models
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COPY docker/pretrained_models /rife/train_log
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COPY train_log /rife/train_log
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WORKDIR /host
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WORKDIR /host
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ENTRYPOINT ["/bin/bash"]
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ENTRYPOINT ["/bin/bash"]
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