The paper has covered topics ranging from how artificial intelligence and machine learning algorithms help in object detection to how OpenCV is such a useful tool for beginners who wish to learn how ...

Debugging can truly get on your nerves at times. But that’s part of our job—sometimes more than actual coding itself. Imagine writing a prime number checker, only to find out it’s identifying ...

This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for zynq ...

The toolkit showcases its capabilities through its comprehensive support for different OCR-related tasks. Its seamless integration with popular OCR and object detection frameworks allows users to ...

The initial file is written for performing yolov3 object detection on videos, it can be changed to work on images by just commenting and uncommenting a few lines of code. Instructions for using this ...

I did object detection on images and webcam. I used OpenCV and python for it. Firstly, I tried the algorithm on images. After that I move forward with the webcam. coco.names is the text file that ...

In general, object detection systems detect a target object using classical computer vision and deep learning techniques, determine the category of the detected object, and create a bounding box ...