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. 🚀👩‍💻✨