Unofficial Pytorch reimplementation of FILM: Frame Interpolation for Large Motion. (Tensorflow 2 implementation can be found here, https://github.com/google-research/frame-interpolation.)
Install PyTorch following official instructions, e. g.
conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia
Install pip dependencies,
pip install -r requirements.txt
INPUT=input.mp4 &&\
OUTPUT=output.mp4 &&\
python run.py -i ${INPUT} -o ${OUTPUT}
Cropping.
INPUT=input.mp4 &&\
OUTPUT=output.mp4 &&\
LEFT=10 && TOP=0 && WIDTH=256 && HEIGHT=256
ffmpeg -i ${INPUT} -filter:v "crop=${WIDTH}:${HEIGHT}:${LEFT}:${TOP}" ${OUTPUT}
(see, https://ffmpeg.org/ffmpeg-filters.html#toc-crop)
Changing framerate.
INPUT=input.mp4 &&\
OUTPUT=output.mp4 &&\
FPS=30 &&\
ffmpeg -i ${INPUT} -filter:v fps=${FPS} ${OUTPUT}
(see, https://ffmpeg.org/ffmpeg-filters.html#toc-fps-1, or https://trac.ffmpeg.org/wiki/ChangingFrameRate)
Scaling.
INPUT=input.mp4 &&\
OUTPUT=output.mp4 &&\
W=416 &&\
H=416 &&\
ffmpeg -i ${INPUT} -vf scale=${W}:${H} ${OUTPUT}
(see, https://ffmpeg.org/ffmpeg-filters.html#toc-Scaling.)
Split into scenes.
The following command will create a file where for each frame of the specified video a characteristic is calculated, how much this frame differs from the previous one.
INPUT=input.mp4 &&\
ffmpeg -i ${INPUT} -vf "select='gte(scene,0)',metadata=print:file=scores.txt" -an -f null -
Cut fragment from video.
INPUT=input.mp4 &&\
OUTPUT=output.mp4 &&\
START=00:05:20 &&\
DURATION=00:10:00 &&\
ffmpeg -i ${INPUT} -ss ${START} -t ${DURATION} -c:v copy -c:a copy ${OUTPUT}.
Copy audio from one video to another.
INPUTV=input.mp4 &&\
INPUTA=input_with_audio.mp4 &&\
OUTPUT=output.mp4 &&\
ffmpeg -i ${INPUTV} -i ${INPUTA} -c copy -map 0:v:0 -map 1:a:0 -shortest ${OUTPUT}
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