taofeeq20213860 / computer-vision- Goto Github PK

🚀 Explore the vast landscape of computer vision through our comprehensive repository, serving as your A-Z guide to this captivating field. Whether you're delving into image processing, object detection, or deep learning, you'll find a treasure trove of resources here to deepen your understanding and hone your skills.

🔍 What We Offer:

1-Algorithm Implementations: Dive into meticulously crafted implementations of key computer vision algorithms, from classic techniques to cutting-edge methods.

2-Statistical Methods: Harness the power of statistical analysis for robust image interpretation and feature extraction.

3-Pythonic Solutions: Our repository is entirely Python-based, offering clear and concise code snippets for seamless integration into your projects.

💡 Why Choose Us?:

1-Comprehensive Coverage: We've curated a comprehensive collection of resources covering every aspect of computer vision, providing you with a holistic learning experience.

2-Hands-On Learning: Put theory into practice with hands-on examples and practical exercises designed to reinforce your understanding.

3-Accessible to All: Whether you're a beginner or an expert, our repository caters to learners of all levels, offering something valuable for everyone.

👥Get Involved:

Contribute: Help us expand our repository by contributing your own implementations, insights, and optimizations. Together, we can build a richer resource for the entire computer vision community.

Engage: Join the discussion, ask questions, and share your experiences on our forums. Connect with fellow enthusiasts and expand your network. Learn and Grow: Embark on your journey through the world of computer vision, and let our repository serve as your trusted companion along the way.

🌟 Join us as we unravel the mysteries of computer vision, one algorithm at a time. Let's empower each other to push the boundaries of what's possible in this fascinating domain!

Star this repo if you find it useful ⭐

If you want to contact me, you can reach me through social handles.

Course 01 - 👁️ Introduction of Computer Vision

👁️ Chapter1: - Introduction

Topic Name/Tutorial	Video	Code
🌐1- What is computer Vision?	1
🌐2-Computer Vision Tasks and Applications	1-2
🌐Best Free Resources to Computer Vision	---	---

📚Chapter2: - Image As Function

Topic Name/Tutorial	Video	Notbook
🌐1-Images as Functions Part 1?	1
🌐2-Images as Functions Part 2?	1
🌐3-Define an Image as a Function (Quiz)	1-2
🌐4-Color Planes and Color Image as a Function(Quiz)	1-2-3
🌐5- Digital Images	1-2
🌐6-Compute Image Size Quiz	---
🌐7-Read image in Matlab and Python	---
🌐8-Image Size and Data Type Quiz/Solution	1
🌐9-Crop an Image	1
🌐10-Add 2 Images	1-2-3
🌐11-Multiply image by a scaler and Blend 2 Images	1-2-3
🌐12-Common Types of Noise	1
🌐13-Image Difference	1-2-3
🌐14-Generate Gaussian Noise	1
🌐15-Effect of Sigma on Gaussian Noise	1-2-3
🌐16-Apply Gaussian Noise	1-2
🌐17-Displaying Images in Matlab and Python	1

📚Chapter3: - Filtering

Topic Name/Tutorial	Video	NoteBook
🌐1- What is Filtering?	1
🌐2- What is Gaussian Noise?	1-2
🌐3- Weighted Moving Average?	1-2
🌐4- Correlation Filtering?	1
🌐5- Averaging Filter?	1
🌐6- Gaussian Filter?	1-2
🌐7- Gaussian Filter with Matlab and Python?	1
🌐8- Remove Noise?(r)	1-2

📚Chapter4: - Linearity and Convolution '

Topic Name/Tutorial	Video	NoteBook
🌐1- Introduction of linear intuition of filtering	1
🌐2- Impulse Function and Response	1
🌐4- Filtering an Impulse Signal	1
🌐5- Correlation vs Convolution	1

• Fork the repository

• Clone your forked repository using terminal or gitbash.

• Make changes to the cloned repository

• Add, Commit and Push

• Then in Github, in your cloned repository find the option to make a pull request

print("Start contributing for Computer Vision")

• Anybody interested in learning and contributing to computer Vision repository
• There are no hard prerequisites other than a dedication to learning
• Some experience with the following will be beneficial:,C++ Programming, Basic of Computer
• You can only work on issues that have been assigned to you.
• If you want to contribute the algorithm, it's preferrable that you create a new issue before making a PR and link your PR to that issue.
• If you have modified/added code work, make sure the code compiles before submitting.
• Strictly use snake_case (underscore_separated) in your file_name and push it in correct folder.
• Do not update the README.md.

We would love your help in making this repository even better! If you know of an amazing Computer Vision course or you know intrested Computer Vision related tutorial/Video that isn't listed here, or if you have any suggestions for improvement in any course content, feel free to open an issue or submit a course contribution request.

                   Together, let's make this the best AI learning hub website! 🚀

Thanks goes to these Wonderful People. Contributions of any kind are welcome!🚀