Multiple custom object count and detection using YOLOv3-Tiny method

Last update: Nov 14, 2022

Overview

Electronic-Component-YOLOv3

Introduce

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

Project Information

Languange: Python

Library : OpenCV, PyQT, etc.

Method : YOLOv3-Tiny

Weights Model and CFG

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.

Thank You!

Owner

Derwin Mahardika

Lets develop together!

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Multiple custom object count and detection using YOLOv3-Tiny method

Related tags

Overview

Electronic-Component-YOLOv3

Introduce

Project Information

Weights Model and CFG

Thank You!

Owner

Derwin Mahardika

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