Skip to content

Breast cancer mass detection using YOLO object detection algorithm and GUI

License

Notifications You must be signed in to change notification settings

fahriwps/breast-cancer-detection

Repository files navigation

Introduction

results

NeuralSIGHT is our final bachelor capstone project for detecting breast cancer mass using YOLO darknet and PyQt.

Requirements

  • PyQt5
  • YOLO darknet installed
  • OpenCV >= 4.4.0

How To Use

Step 0: Compile YOLO darknet

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

Step 1: Install PyQt5 and OpenCV

Simple installation from PyPI

pip install PyQt5
pip install opencv-python

From Conda

conda install -c anaconda pyqt

Step 2: Setup Folder

  • Move mainCV.py,main_windowCV.py, and splashscreen.py to your darknet folder.
  • Put your your-weight.weights to weights folder.

Step 3: Run Program

Run mainCV.py for OpenCV version inference

NeuralSIGHT Team

About

Breast cancer mass detection using YOLO object detection algorithm and GUI

Topics

Resources

License

Stars

Watchers

Forks

Languages