An implementation of Pix2Pix in Tensorflow for use with colorizing and increasing the field of view in frames from classic films. For more information, see my Medium Post on the project.
Pretrained model available here. It was trained using Alfred Hitchcock films, so it generalizes best to similar movies.
To generate frames, use ffmpeg to resize and create .png frames from video.
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To resize video:
ffmpeg -strict -2 -i input.mp4 -vf scale=256:144 output.mp4 -strict -2 -
To generate frames:
ffmpeg -i output.mp4 -vf fps=10 ./frames/out%6d.png
In order to 'remaster' frames, run Pix2Pix iPython notebook.
To convert 'remastered' frames back into a video, use:
ffmpeg -framerate 10 -i frame%01d.png -c:v libx264 -r 30 -pix_fmt yuv420p out.mp4