Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.1 It can be used in a barcode reading task as barcodes are often printed...

In the past two weeks, I trained a custom YOLOv3 model specifically for QR code detection and tested it using Darknet. In this article, I will demonstrate how to use OpenCV’s DNN (Deep Neural Network) module to load the YOLO model for detecting QR codes from static images and real-time...

In my previous article, I shared how to integrate Dynamsoft Barcode Reader to LabelImg for annotating barcode objects. It is time to take a further step to make some custom models for barcodes. In this article, I will go through the process that I used Darknet to train YOLO v3...