This project created to detect, count, and recognize multiple custom object using YOLOv3-Tiny method. The target object are electronic components that include resistor, diode, capacitor, transformer, and transistor.

Special thanks to nickdademo who made a beautiful GUI that used in this project. Visit nickdademo on https://github.com/nickdademo/qt-opencv-multithreaded

You can watch how to created YOLOv3-Tiny model on my video on: https://youtu.be/i41cYECaMVI

Languange: Python

Library : OpenCV, PyQT, etc.

Method : YOLOv3-Tiny

You can use my trained YOLOv3-Tiny weights and CFG that can be downloaded on

https://drive.google.com/file/d/1PAD2vmwc4glE3-WYmvngHKYrzEgoOZrH/view?usp=sharing

Place entire files on Files folder to use weights and cfg files.