Master Computer Vision with Deep learning, OpenCV4 & Python

🎓 Course Title: Master Computer Vision with Deep Learning, OpenCV4 & Python

🚀 Course Headline:

Become a Computer Vision Guru! 🧙‍♂️

Introduction:

This ultimate guide is your ticket to mastering the fascinating field of Computer Vision. With a structured approach from basics to advanced topics, this course will take you on a journey through the realm of image processing and computer vision using Python, OpenCV4, Dlib, and Deep Learning. 🌟

Course Structure:

The course is meticulously structured into several modules, each designed to build upon the knowledge acquired in the previous one:

1. Computer Vision Fundamentals
2. Image Processing Basics (Coding)
3. CV-101 (Theory + Coding)
4. Advanced Detection (Theory + Coding)
5. Advanced Tracking (Theory + Coding)
6. Project: PeopleTrackr (Crowd Monitoring System)
7. Advanced Recognition (Theory + Coding)
8. Project: EasyAttend (Live Attendance System)
9. Project: Secure Access (End-to-end Project Development & Deployment)
10. Goodbye

Hands-On Learning Experience:

From the basics of Image Formation and Characteristics to mastering Object Detection, Tracking, and Recognition, each topic is accompanied by a coding session and theoretical understanding. You will also engage in practical programming assignments to test your knowledge. Python Object Oriented Programming practices will be emphasized to ensure robust development skills. 🛠️

Learning Outcomes:

Upon completing this course, you will have a comprehensive understanding of Computer Vision and be able to:

• Read/Write Image & Video + Image Manipulation
• Create interactive CV applications with Trackbars & MouseEvents
• Learn CV techniques such as Transformation, Filtering, Segmentation, and Features
• Understand, train, and deploy Object Detection, Tracking, and Recognition algorithms
• [Project-1] Develop a PeopleTrackr: Crowd Monitoring System
• [Project-2] Create an EasyAttend: Live Attendance System for Classrooms and Offices
• [Final-Project] Implement a Secure Access: End-to-end Visual Authorization System for your Computer

Algorithms Covered:

Gain expertise in various algorithms, including but not limited to:

• Facial recognition algorithms like LBP (Fast & Less Accurate) and Dlib-based facial recognition (Slow & Accurate)
• Single Object Trackers such as Haar Cascades (Fast & Less Accurate) and YOLOV3 (Slow & Accurate)
• Multiple Object Trackers like DeepSort (Slow & Accurate)
• Computer Vision Techniques such as SIFT | ORB Feature Matching, Canny Edge detection, Binary, Otsu, and Adaptive Thresholding, and Kmeans Segmentation

Pre-Course Requirements:

To get the most out of this course, you should have:

• Software Based: Familiarity with OpenCV4 and Python
• Skill Based: Basic Python Programming skills and a motivated mindset 😃

All codes for reference are available on the GitHub repository of this course to assist your learning journey.

Explore & Enroll:

Don't hesitate to go through all our free previews to get a good idea of what this course offers. If you have any questions or need assistance, feel free to reach out to us! 💌

Join us on this exciting journey into the world of Computer Vision and transform your coding skills with practical, hands-on learning! 🚀👩‍💻👨‍💻