Fast YOLO: Real-Time Embedded Object Detection (Paper Download Included)

Fast YOLO: Real-Time Embedded Object Detection (Paper Download Included)

Follow and Star No More Getting Lost Computer Vision Research Institute Public Account ID|ComputerVisionGzq Study Group|Scan the QR code on the homepage to get the joining method Computer Vision Research Institute Column Object detection is considered one of the most challenging problems in the field of computer vision, as it involves the combination of object … Read more

Multi-Scale Detection in Object Detection: From YOLO to FPN, SNIPER, SSD

Multi-Scale Detection in Object Detection: From YOLO to FPN, SNIPER, SSD

The Jishi platform is a professional visual algorithm development and distribution platform. Join the Jishi professional CV group to interact with 6000+ visual developers from Tencent, Huawei, Baidu, Peking University, Tsinghua University, and the Chinese Academy of Sciences! You will also have the opportunity to interact with Professor Kai-Fu Lee and other experts! We also … Read more

A Comprehensive Look at Lightweight Object Detection Algorithms

A Comprehensive Look at Lightweight Object Detection Algorithms

Click the above“Beginner’s Guide to Vision”, select to addStar or “Top” Important information delivered promptly Programmers transitioning to AI are following this account👇👇👇 In the past two years, object detection algorithms have developed rapidly. At a glance, single-stage algorithms have almost unified object detection, with various high-performance object detection algorithms emerging continuously. I remember that … Read more

Unmatched Performance of RK3588: Effortlessly Handles Dual 8K at 30fps – A Powerful Video Analysis AI Box

Unmatched Performance of RK3588: Effortlessly Handles Dual 8K at 30fps - A Powerful Video Analysis AI Box

1. Introduction Recently, I have become addicted to embedded board development, testing various video-related projects on more than a dozen development boards remotely, such as video integration applications, video surveillance systems, and streaming. The results have been quite satisfactory, with models like RK3568, RK3576, and RK3588 from at least four or five manufacturers, all performing … Read more

OSDDY: A Small Drone Target Monitoring and Detection System Based on Embedded Systems and Deep YOLO Algorithm

OSDDY: A Small Drone Target Monitoring and Detection System Based on Embedded Systems and Deep YOLO Algorithm

Click the blue text Follow us Follow and star Never get lost again Computer Vision Research Institute Public Account ID|Computer Vision Research Institute Learning Group|Scan the code on the homepage to get the joining method Article link:https://link.springer.com/article/10.1186/s13640-021-00559-1 Column of Computer Vision Institute Computer vision is an interdisciplinary field used for target detection. Target detection is … Read more

Deploying Inference with OpenCV 4.8 and YOLO 11 in C++

Deploying Inference with OpenCV 4.8 and YOLO 11 in C++

Click the blue text above to follow us WeChat Official Account:OpenCV Academy Follow us for more knowledge on computer vision and deep learning Since the release ofYOLOv5 version 7.0, and the introduction of YOLOv8 and YOLO 11, previous versions of OpenCV 4.6 can no longer load exported ONNX format models. Only OpenCV 4.7 and above … Read more

YOLO v8.3.107 Released! Rockchip RKNN Fixes, OpenVINO Compatibility Upgrades, Enhancing Developer Efficiency!

YOLO v8.3.107 Released! Rockchip RKNN Fixes, OpenVINO Compatibility Upgrades, Enhancing Developer Efficiency!

📢 Core Update Interpretation 1. Rockchip RKNN Compatibility Fix• Issue Resolved:Fixed the <span>torch_to_mnn</span> file path handling issue, ensuring the stability of model export for Rockchip chips.• User Benefits:RKNN developers will no longer face model deployment failures due to path errors, making deployment on edge devices smoother! 2. OpenVINO and macOS Compatibility Optimization• Version Lock:Limited OpenVINO … Read more

Deployment Practice Test of DeepSeek-R1:7B on Raspberry Pi 5 with Hailo-8L and M2-HAT+

Deployment Practice Test of DeepSeek-R1:7B on Raspberry Pi 5 with Hailo-8L and M2-HAT+

I have recently been deeply involved in the research and development of LLM/SLM (Large Language Models/Small Language Models), covering areas such as agent development, RAG-enhanced retrieval, fine-tuning, model distillation, and MLOps. To expand the technical boundaries, I have simultaneously explored the field of edge AI, focusing on deployment practices on the Raspberry Pi 5 (equipped … Read more