For years, real-time computer vision meant choosing between speed (YOLO-style detection) or accuracy with masks (Mask R-CNN). You could get fast bounding boxes… or slow, high-quality segmentation.

1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

What is this book about? OpenCV is considered to be one of the best Open Source Computer Vision and machine learning software libraries. It helps developers build complete projects on image processing ...

X-ray Computed Tomography (XCT) plays a vital role in characterizing internal porosity in laser Powder Bed Fusion (PBF-L) parts, where defects critically impact mechanical properties. Traditional ...

As a B.Tech student embarking on an exciting project to create an Air Canvas using Python and OpenCV, it’s essential to understand the underlying principles, potential applications, development costs, ...

Denis works as a software developer who enjoys writing guides to help other developers. He has a bachelor's in computer science. He loves hiking and exploring the world. Image enhancement is a crucial ...

Our current work builds upon the idea that persistent homology can be used to detect objects in images 5. However, many real-world images contain outliers, as well as irrelevant objects, which ...

The ability of machines to use a camera to look at the real world and interpret data from it would have a greater influence on its applications. Be it a simple food delivery Robot like the Starship ...

Security has always been a major concern for mankind. Today we have video surveillance cameras in schools, hospitals and every other public place to make us feel secured. According to a survey by HIS ...