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vqgan-clp / video_styler.sh

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	#!/bin/bash
	# Video styler - Use all images in a directory and style them
	# video_styler.sh video.mp4

	# Style text
	TEXT="Oil painting of a woman in the foreground \| pencil art landscape background"

	## Input and output frame directories
	FRAMES_IN="/home/nerdy/github/VQGAN-CLIP/VideoFrames"
	FRAMES_OUT="/home/nerdy/github/VQGAN-CLIP/Saves/VideoStyleTesting"

	## Output image size
	HEIGHT=640
	WIDTH=360

	## Iterations
	ITERATIONS=25
	SAVE_EVERY=$ITERATIONS

	## Optimiser & Learning rate
	OPTIMISER=Adagrad # Adam, AdamW, Adagrad, Adamax
	LR=0.2

	# Fixed seed
	SEED=`shuf -i 1-9999999999 -n 1` # Keep the same seed each frame for more deterministic runs

	# MAIN
	############################
	mkdir -p "$FRAMES_IN"
	mkdir -p "$FRAMES_OUT"

	# For cuDNN determinism
	export CUBLAS_WORKSPACE_CONFIG=:4096:8

	# Extract video into frames
	ffmpeg -y -i "$1" -q:v 2 "$FRAMES_IN"/frame-%04d.jpg

	# Style all the frames
	ls "$FRAMES_IN" \| while read file; do
	# Set the output filename
	FILENAME="$FRAMES_OUT"/"$file"-"out".jpg

	# And imagine!
	echo "Input frame: $file"
	echo "Style text: $TEXT"
	echo "Output file: $FILENAME"

	python generate.py -p "$TEXT" -ii "$FRAMES_IN"/"$file" -o "$FILENAME" -opt "$OPTIMISER" -lr "$LR" -i "$ITERATIONS" -se "$SAVE_EVERY" -s "$HEIGHT" "$WIDTH" -sd "$SEED" -d True
	done

	ffmpeg -y -i "$FRAMES_OUT"/frame-%04d.jpg-out.jpg -b:v 8M -c:v h264_nvenc -pix_fmt yuv420p -strict -2 -filter:v "minterpolate='mi_mode=mci:mc_mode=aobmc:vsbmc=1:fps=60'" style_video.mp4