This is a simple GUI using PyQt for YOLO darknet mass detection NeuralSIGHT from final bachelor capstone project.

• PyQt5
• YOLO darknet installed
• OpenCV >= 4.4.0

Follow AlexeyAB's instruction of How to compile YOLO darknet on Linux or Windows

Simple installation from PyPI

pip install PyQt5
pip install opencv-python

From Conda

conda install -c anaconda pyqt

• Move main.py,main_window.py, and splashscreen.py to your darknet folder.
• Put your your-weight.weights to weights folder.

if you're going to use GUI with OpenCV skip to Step 3, otherwise follow these instructions for YOLO version inference

• Edit main_window.py on line 190 to your darknet data folder directory path.
• If your OS is Windows or you have different name for your own cfg or weights files then edit main_window.py on line 200 to darknet.exe detector test cfg/[your configuration].data cfg/[your configuration].cfg weights/[your weights].weights data/data.jpg -dont_show

Run main.py for YOLO version inference

Run mainCV.py for OpenCV version inference

• fahriwps
• mariojy10