Learn Computer Vision with OpenCV and Python

🌟 Learn Computer Vision with OpenCV and Python 📸 - Dive into the fascinating world of computer vision with this comprehensive online course!

Course Instructor: Ibrahim Delibasoglu

Course Overview 🚀

Note: Get ready to engage with real-world examples that go beyond just using implemented functions in OpenCV. The course content is constantly evolving, with new special examples added to enhance your learning experience!

• New Chapter Added: "How to Prepare dataset and Train Your Deep Learning Model" has been added, guiding you through preparing a simple dataset, labeling objects, and training your own deep learning model from scratch.

• New Special Application: The "Search team logos" app has been introduced, teaching you how to compare images and find similar objects within your dataset.

• New Chapter Added: Explore the "Special Apps - Missing and Abandoned Object Detection" chapter, where you'll learn about applications for detecting missing and abandoned objects.

• Facial Landmarks and Special Applications: Gain insights into real-time sleep and smile detection with the latest videos added to this chapter!

What You Will Learn:

This course is designed to take you from the basics of computer vision and image processing to mastering special applications using OpenCV and Python. Here's what you can expect:

• Key Concepts Explained: We'll cover the fundamental concepts of computer vision without getting bogged down in heavy mathematical theory, so you can focus on practical implementation.

• Easy-to-Understand Explanations: With clear and easy explanations, you'll be able to grasp the concepts and apply them directly to your work. Plus, you can always ask for clarification if needed!

• Ordered Learning Path: Unlike other resources, this course follows a structured path so that you won't get lost along the way as you learn from scratch.

• Special Examples Galore: Beyond the fundamental topics, you'll find an abundance of special examples to deepen your understanding and application of computer vision concepts.

Why Choose This Course?

• OpenCV with Python: We utilize OpenCV, an open-source computer vision library that is widely supported by the community, and Python, which allows for easier problem-solving without the complexities of other programming languages.

• Engaging Format: With a mix of videos, examples, and explanations, this course offers a dynamic and interactive learning experience.

• Community Engagement: The 'questions and answers' area is an active space where you can engage with your peers and the instructor to further your understanding and share knowledge.

Course Breakdown 📚

You will cover a wide array of topics, including:

• Basic Operations: Learn about histogram equalization, thresholding, convolution, edge detection, sharpening, morphological operations, image pyramids, and more.

• Keypoints and Keypoint Matching: Understand how to work with keypoints in images and match them effectively.

• Special App: Mini Game by Using Key Points: Apply your knowledge of key points in a fun and engaging mini game.

• Image Segmentation: Master contour properties, line detection, circle detection, blob detection, and watershed segmentation.

• People Counter (Special App): Learn to create an application that counts the number of people using computer vision techniques.

• Object Tracking: Discover how to use tracking APIs and filtering by color for moving objects.

• Object Detection with Deep Learning: Explore advanced topics like Haar cascade face and eye detection, HOG pedestrian detection, and more.

• Special App: Search Team Logos: Learn how to compare images and find similar objects within your dataset.

• Missing and Abandoned Object Detection (Extra Chapter): Gain skills in detecting missing or abandoned items in various environments.

• Facial Landmarks and Special Applications: Engage with real-time applications for sleep and smile detection.

• Different Special Applications: Stay updated with special examples in different topics as the course evolves.

Join us on this exciting journey into computer vision! Enroll now to start learning how to bring images to life with OpenCV and Python. 🧵✨