A simple machine learning demo to detect coffee in a Moccamaster brand coffee makers (which we just happen to have in our office at Evermade). Technically shouldn't even matter which coffee maker you use, but I was a goof and trained the model with just Moccamaster images :-)
- Install Python3.7+
- Install pipenv
- Run
pipenv install - Run
pipenv run python3 main.py
v4l2-ctl -d /dev/video0 -c exposure_auto=1 -c exposure_auto_priority=0 -c exposure_absolute=2
TBD