Learn OpenCV: Build # 30 Apps with OpenCV, YOLOv8 & YOLO-NAS

🎓 **Learn OpenCV: Build 🕒 #30 Apps with OpenCV, YOLOv8 & YOLO-NAS** 🚀 **Course Headline:** Master the Art of Computer Vision with OpenCV, Object Detection, Tracking, and Segmentation using state-of-the-art models like YOLOv8 and YOLO-NAS! 🌐️🔬 --- **Welcome to Your Journey into the World of Computer Vision with OpenCV!** 🚀 **Course Overview:** We're embarking on an exciting learning adventure where you'll not only grasp the fundamentals of OpenCV but also apply your newfound skills to build a diverse range of 🕒 **#30 real-world applications**. From detecting objects and tracking their movement to estimating poses and even counting push-ups, this course will take you through an array of practical scenarios that showcase the power of computer vision. 📚 **What You'll Learn:** 1. **Basics of OpenCV**: Dive into the core library for computer vision tasks and understand how to process images and videos with OpenCV. 2. **Image Processing Techniques**: Master essential techniques such as blurring, dilation, erosion, edge detection, contour finding and drawing, and warp perspective. 3. **Face and License Plate Detection**: Implement Haar Cascades to identify and track faces, license plates, and more in real-time. 4. **Real-World Applications**: Explore applications like Optical Mark Recognition, Lane Detection, and Bar Code Scanning that solve everyday problems. 5. **Advanced Projects/Applications**: Challenge yourself with projects such as a Basketball Shot Predictor, Parking Space Counter, and gesture-controlled games. 6. **Object Detection Fundamentals with YOLO Algorithms**: Understand how YOLOv8 and YOLO-NAS revolutionize object detection and learn to implement these models effectively. 7. **Object Segmentation with YOLOv8**: Discover the art of object segmentation and learn to train a YOLOv8 segmentation model on your custom dataset. 8. **Integrating Object Tracking Algorithms**: Integrate cutting-edge tracking algorithms like SORT and DeepSORT into your YOLOv8 and YOLO-NAS models for robust applications. 9. **Building Real World Applications with YOLOv8 & YOLO-NAS**: Develop and fine-tune applications such as Potholes Detection, Personal Protective Equipment Detection, and Vehicle Intensity Heatmaps. 10. **Optical Character Recognition (OCR)**: Learn how to detect and recognize text in images or videos with real-world applications like License Plate Detection and Multi-Cam License Plate Detection and Recognition. 11. **Vehicles Counting (Entering & Leaving)**: Utilize YOLO-NAS for counting vehicles in dynamic environments. 12. **Grocery Items in a Retail Store with YOLO-NAS**: Implement an application to recognize and track grocery items for inventory management. 13. **Understanding Segment Anything Model (SAM)**: Explore the latest advancements in image and video segmentation with YOLO-NAS and SAM. 14. **Pose Estimation**: Learn how to estimate human poses using OpenCV and MediaPipe, and create applications like a Bicep Curl Counter and Push-Ups Counter. --- 🔍 **Key Takeaways:** - **Hands-On Learning**: With 🕒 **#30 applications**, you'll apply what you learn in real-world contexts, ensuring a deeper understanding of computer vision concepts. - **State-of-the-Art Models**: Get up to speed with the latest in object detection and segmentation using YOLOv8, YOLO-NAS, and SAM. - **Practical Applications**: Translate your knowledge into tangible applications that can be deployed across various domains, from retail to traffic management. - **Interactive Projects**: Engage with projects that not only test your skills but also bring them to life in innovative ways. - **Versatile Skillset**: Combine the power of OpenCV with the precision of YOLO models and the adaptability of MediaPipe to build a diverse portfolio of computer vision applications. --- Join us on this comprehensive learning journey where you'll transform data into actionable insights with OpenCV, YOLOv8 & YOLO-NAS. Whether you're a beginner or looking to expand your expertise, this course is designed to challenge and inspire you to reach new heights in computer vision. 🚀👩‍💻✨