This repository contains multiple samples demonstrating how to use YOLO models with the ZED camera, utilizing the highly optimized TensorRT library, as well as a Python sample that uses PyTorch and ...

This project analyzes a football match video and produces an annotated output video with detected players, referees, the ball, team assignments, ball possession, camera movement, and player ...

I have been developing an AI camera using 'YOLO × MediaPipe Pose' on my Windows PC. Since the last post, I have been working on porting it to the new palm-sized hardware, the 'Raspberry Pi 5'. This ...

Last time, I built a system on the Raspberry Pi to stream garden footage via RTSP. This time, I will build a system that receives that stream on another computer (Mac mini) and uses an AI model called ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

The YOLO-FLBM model demonstrates superior comprehensive performance compared to existing cutting-edge detectors, including transformer-based architectures. By offering a lightweight design while ...

Chili flower image collection process. (a) Field images collection scene: an author collecting images of chili flowers in a greenhouse using a digital camera. (b) Representative image sample: a ...

OpenCV 5 open-source computer vision library has recently been released with a brand-new DNN (Deep Neural Network) engine that provides better ONNX coverage and enables LLM/VLM support. The fifth ...

OpenCV 5.0, the first major version of the world's most widely used open-source computer-vision library since the 4.x line began in 2018, has been released. Phoronix reported the launch on June 6, ...

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...