https://towardsdatascience.com/training-yolo-for-object-detection-in-pytorch-with-your-custom-dataset-the-simple-way-1aa6f56cf7d9 https://towardsdatascience.com/object-detection-and-tracking-in-pytorch-b3cf1a696a98 https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data
https://github.com/ultralytics/yolov5 https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data
curl https://www.robots.ox.ac.uk/~vgg/data/dtd/download/dtd-r1.0.1.tar.gz --output dtd.tar.gz
tar xfvz dtd.tar.gz
python3 -m pip install \
numpy opencv-python Shapely \
torch torchvision
sourced from
https://commons.wikimedia.org/wiki/Category:Complete_decks_of_playing_cards_laid_out
convert cards
qlmanage -t -s 2048 -o . Color_52_Faces_v.2.0.svg
python -m venv /path/to/new/virtual/environment