YOLOv9: Advancing the YOLO Legacy скачать в хорошем качестве

YOLOv9: Advancing the YOLO Legacy

📚 Blog post Link: https://learnopencv.com/yolov9-advanc... 📚 Check out our FREE Courses at OpenCV University : https://opencv.org/university/free-co... 📚 YOLO MasterClass Playlist:    • YOLO-NAS Pose: A Leap in Pose Estimation T...   Dive into the future of real-time object detection with our comprehensive guide on YOLOv9, the latest milestone in the YOLO series. Developed by Chien-Yao Wang and his team, YOLOv9 introduces groundbreaking technologies like Programmable Gradient Information (PGI) and Generalized Efficient Layer Aggregation Network (GELAN). These innovations tackle the challenges of information loss and computational efficiency head-on, propelling YOLOv9 to the forefront of accuracy and speed in object detection. Join us as we navigate through the steps to implement YOLOv9, from obtaining the starter code to running inference with exceptional results. 🕒 Tutorial Timeline: 0:04: How to download the starter code. 0:12: Setting up YOLOv9's environment. 0:33: Preparing for inference. 0:44: Running YOLOv9 inference. 1:08: Result demonstration. 1:19: Additional learning resources. 💡 What You'll Learn: The key features of YOLOv9 and its advancements in object detection. Step-by-step instructions to get started with YOLOv9, including code download and environment setup. How to run inference with YOLOv9 for real-time object detection. 📘 Further Learning: Explore OpenCV University's free TensorFlow and Keras bootcamp for a deeper understanding of these concepts. Visit opencv.org/university/free-courses for more incredible learning resources. 📺 Liked this tutorial? Check out our YOLO Masterclass playlist for more insights into object detection technologies. Let us know in the comments what you'd like to explore next, and don't forget to subscribe for more cutting-edge tutorials! 🔗Resources: 🚀 Join Us: 🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vision and AI Courses You have an opportunity to join the over 8000+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖 https://opencv.org/university/courses/ #️⃣ Connect with Us #️⃣ 📝 Linkedin:   / satyamallick   📱 Twitter:   / learnopencv   🔊 Facebook: https://www.facebook.com/profile.php?... 📸 Instagram:   / learnopencv   🔗 Reddit:   / spmallick   🔖Hashtags🔖 #LearnOpenCV #TechEducation #yolov9 #YOLO #Objectdetection