A clean, modular, real-time object detection pipeline built on YOLOv5 + PyTorch + OpenCV. It shows FPS, counts detected objects per frame, renders boxes, and (optionally) saves the video. torch==2.7.1 ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

The Litter Coach is an intelligent system developed to combat littering through real-time object detection. Utilizing the advanced YOLOv8 model, it accurately identifies and labels discarded waste ...

Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to ...

Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea ...

Abstract: Human eye is the most significant character to detect the objects. Detecting the object includes the detection of position, size, distance etc. For individuals who have lost their vision and ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

Abstract: Object tracking has been widely used in the field of computer vision. The OpenCV Library offers a wide range of Target Tracing Algorithms, which have been shown to be robust and effective.