tomchambers2

sudo apt update
sudo apt upgrade -y

sudo apt install nginx -y

echo 'deb https://download.jitsi.org stable/' | sudo tee /etc/apt/sources.list.d/jitsi-stable.list
wget -qO -  https://download.jitsi.org/jitsi-key.gpg.key | sudo apt-key add -

# Ensure support is available for apt repositories served via HTTPS
sudo apt-get install apt-transport-https -y

tomchambers2

convert original.png +repage -crop 1x -trim -resize 1x256\! +append out.png

tomchambers2

ls | xargs -t -I in mv in sub

ls | sort -R | tail -1000 | xargs -I in mv in ../selected-people/

tomchambers2

montage -geometry 256x256-32 -tile x1  *.png montage-overlap.png

tomchambers2

# DONT USE this seems to miss off the last iamge
convert -extent 512x256 *.png

# works, use this for batch operations
mogrify -extent 512x256 *.png

tomchambers2

import os
import subprocess

path_to_images = '/Users/tomchambers/projects/machine_learning_data/clothed_unclothed/original'

images = os.listdir(path_to_images)
image_paths = [path for path in images if 'jpg' in path]


def escape_url(url):

tomchambers2

convert * -geometry 512x256^ -gravity center -crop 512x256+0+0 out.jpg

tomchambers2

# TRAIN
floyd run --gpu --data tomchambers2/datasets/person_background_pair:inputs "python pix2pix.py \
      --mode train \
      --output_dir model \
      --max_epochs 200 \
      --input_dir /inputs \
      --which_direction AtoB"
      
# TEST (use to generate new images from input)
floyd run --gpu --data tomchambers2/datasets/eleanor_nude_test_2:inputs --data tomchambers2/projects/pix2pix/11:files "python pix2pix.py \

tomchambers2

import os
import subprocess

path_to_images = '/Users/tomchambers/projects/machine_learning_results/monster_results'

images = os.listdir(path_to_images)
image_paths = [path for path in images if 'pdf' in path]

image_packages = [{"name": path.split('.')[0], "pdf_name": path}