Webcam-Barcode-Scanner

Barcode detection with Deep Learning (YOLO) and decoding barcode using Pyzbar in Python.

Our repo is compatible with YOLO versions V3, V4, V5, and V7. You can check out the models we successfully trained here using our collected dataset

In the training notebook, we focus exclusively on YOLOv5. For other versions, please refer to the official repositories provided by their respective authors.

🚀🚀🚀The study was a collaborative effort involving Tyan-Ng and TaThanh200320

Installation

Clone repo and install requirements.txt

git clone https://github.com/Tyan-Ng/Webcam-Barcode-Scanner
cd Webcam-Barcode-Scanner
pip install -r requirements.txt

Visit the pytorch homepage to install the torch library suitable for your hardware

Usage

python barcode_reader.py

Training

1. Data preparation

Download the images (train, val, test) and labels for our BarcodeEpu2 dataset

Our dataset contains over 3000 barcode images that have been labeled in the YOLO format, making it easy to use for training and testing computer vision models that can detect and decode barcodes.

2. Train

Our training is based on the YOLOv5 model (Check out our notebook to learn how to train a model)

The barcode detection model was trained in several other versions of YOLO (see)