afrodreams / examples /scripts /starry_stanford.sh
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# To run this script you'll need to download the ultra-high res
# scan of Starry Night from the Google Art Project, using this command:
# wget -c https://upload.wikimedia.org/wikipedia/commons/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg -O starry_night_gigapixel.jpg
# Or you can manually download the image from here: https://commons.wikimedia.org/wiki/File:Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg
STYLE_IMAGE=starry_night_gigapixel.jpg
CONTENT_IMAGE=examples/inputs/hoovertowernight.jpg
STYLE_WEIGHT=5e2
STYLE_SCALE=1.0
STYLE_WEIGHT2=2500 # Style weight for image size 2048 and above
PYTHON=python3 # Change to Python if using Python 2
SCRIPT=neural_style.py
GPU=0
NEURAL_STYLE=$PYTHON
NEURAL_STYLE+=" "
NEURAL_STYLE+=$SCRIPT
# Uncomment if using pip package
#NEURAL_STYLE=neural-style
$NEURAL_STYLE \
-content_image $CONTENT_IMAGE \
-style_image $STYLE_IMAGE \
-style_scale $STYLE_SCALE \
-print_iter 1 \
-style_weight $STYLE_WEIGHT \
-image_size 256 \
-output_image out1.png \
-tv_weight 0 \
-gpu $GPU \
-backend cudnn -cudnn_autotune
$NEURAL_STYLE \
-content_image $CONTENT_IMAGE \
-style_image $STYLE_IMAGE \
-init image -init_image out1.png \
-style_scale $STYLE_SCALE \
-print_iter 1 \
-style_weight $STYLE_WEIGHT \
-image_size 512 \
-num_iterations 500 \
-output_image out2.png \
-tv_weight 0 \
-gpu $GPU \
-backend cudnn -cudnn_autotune
$NEURAL_STYLE \
-content_image $CONTENT_IMAGE \
-style_image $STYLE_IMAGE \
-init image -init_image out2.png \
-style_scale $STYLE_SCALE \
-print_iter 1 \
-style_weight $STYLE_WEIGHT \
-image_size 1024 \
-num_iterations 200 \
-output_image out3.png \
-tv_weight 0 \
-gpu $GPU \
-backend cudnn -cudnn_autotune
$NEURAL_STYLE \
-content_image $CONTENT_IMAGE \
-style_image $STYLE_IMAGE \
-init image -init_image out3.png \
-style_scale $STYLE_SCALE \
-print_iter 1 \
-style_weight $STYLE_WEIGHT2 \
-image_size 2048 \
-num_iterations 200 \
-output_image out4.png \
-tv_weight 0 \
-gpu $GPU \
-backend cudnn
$NEURAL_STYLE \
-content_image $CONTENT_IMAGE \
-style_image $STYLE_IMAGE \
-init image -init_image out4.png \
-style_scale $STYLE_SCALE \
-print_iter 1 \
-style_weight $STYLE_WEIGHT2 \
-image_size 2350 \
-num_iterations 200 \
-output_image out5.png \
-tv_weight 0 \
-gpu $GPU \
-backend cudnn -optimizer adam