Utilizes the YOLO classifying algorithm to identify possible targets.

-> See https://github.com/jromie0924/turret-GPIO for the Arduino code.

It's worth noting that the YOLO library only works on Linux. This has been written and tested on Ubuntu 20.04.

NOTE: This requires Python 3.8, as well as an NVIDIA GPU that has CUDA cores.

sudo pip3 install pipenv

1. Activate pipenv virtual environment (pipenv shell)
2. python -m pip install opencv-python
3. Test that it works: python -c "import cv2; print(cv2.__version__)"

pipenv install

1. pipenv shell (if you're not already inside the virtual environment)
2. python app.py

Note that it's helpful if you have a webcam plugged into your machine; the program will likely not like it if you don't.

You may run into an issue with yolo34py-gpu package.

1. sudo apt update
2. sudo apt install nvidia-cuda-toolkit
3. git clone [email protected]:AlexeyAB/darknet.git
4. cd darknet
5. Open the Makefile and set the GPU variable to 1. Save it.
6. make
7. Change directories back to the turret repo and run pipenv install again.

You may get a "permission denied" error with serial connection. Add your user to the dialout user group:

• sudo usermod -a -G dialout $USER