├── Computer Vision.png ├── CoursesTeach (2).png ├── Introduction_to_Computer_Vision.ipynb ├── ReadMe.md ├── sign_mnist_test.csv ├── 📚Chapter 8 L1 Hough transform Lines └── New Text Document.txt ├── 📚Chapter 1-Introduction └── New Text Document.txt ├── 📚Chapter 2-Image As Function └── New Text Document.txt ├── 📚Chapter 3-Filtering └── New Text Document.txt ├── 📚Chapter 4-Linearity and Convolution └── New Text Document.txt ├── 📚Chapter 5-Filters as Templates └── New Text Document.txt ├── 📚Chapter 6-Edge detection Gradients └── New Text Document.txt ├── 📚Chapter7 Edge detection 2D operators └── New Text Document.txt └── 📚🧑‍🎓📝Other Best Free Resources to Learn Computer Vision └── New Text Document.txt /Computer Vision.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/Computer Vision.png -------------------------------------------------------------------------------- /CoursesTeach (2).png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/CoursesTeach (2).png -------------------------------------------------------------------------------- /ReadMe.md: -------------------------------------------------------------------------------- 1 | ## **👁️ Welcome to the Computer Vision Compendium!👋🛒** 2 | 3 | ##

**1-Introduction**

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9 | 10 | 🚀 Explore the vast landscape of computer vision through our comprehensive repository, It include resource about deep learning for vision, image processing tutorials, OpenCV projects, YOLO object detection, CNN tutorials, vision transformers, 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. 11 | 12 | computer vision course, computer vision with Python, AI in image analysis, edge detection, computer vision GitHub repository, free computer vision resources 13 | 14 | 15 | 16 | 17 | 18 | 19 | ## 📚 Table of Contents 20 | - [Introduction](#1-introduction) 21 | - [Why Join This Course?](#why-join-this-course) 22 | - [How to Get Involved](#how-to-get-involved-in-the-computer-vision-project) 23 | - [Chapters Overview](#course-01---introduction-of-computer-vision) 24 | - [Computer Vision Resources](#computer-vision-resources) 25 | 26 | 27 | ## **🎯 Why Join This Course?** 28 | 29 | 1. 📸 End-to-End Learning: Master the full spectrum of computer vision — from image basics and filters to deep learning, object detection, and segmentation. 30 | 31 | 2. 🛠 Practical Implementation: Each topic includes hands-on coding exercises, Jupyter notebooks, and real-world projects. 32 | 33 | 3. 🌍 Collaborative Development: Join a global community of learners, developers, and researchers. Contribute on GitHub through pull requests, discussions, and issue tracking.. 34 | 35 | 4. 🤖 Cutting-Edge Tech Stack: Stay at the forefront with tools like CNNs, YOLO, OpenCV, Vision Transformers, and more — all integrated with AI-powered workflows. 36 | 37 | ![GitHub stars](https://img.shields.io/github/stars/hussain0048/Computer-Vision) 38 | ![GitHub forks](https://img.shields.io/github/forks/hussain0048/Computer-Vision) 39 | 40 | 41 | ## **💡 How to Get Involved in the Computer Vision Project?** 42 | 43 | 🚀 **Fork & Star the Repo**:Show your support and stay updated — fork the repository and give it a ⭐ on GitHub! 44 | 45 | 👩‍💻 **Dive Into Structured Lessons**: Start learning with well-organized, beginner-to-advanced tutorials curated to help you build real skills step by step. 46 | 47 | 🛠️ **Contribute to Code & Content**:Enhance existing blogs, refine code, fix bugs, or write new tutorials on exciting computer vision topics. 48 | 49 | 🧪 **Experiment & Innovate**:Use the provided codebase as your playground — tweak, test, and explore to discover something new. 50 | 51 | 🤝 **Collaborate with the Community**:Join discussions, review PRs, and team up with fellow developers, students, and AI enthusiasts around the world. 52 | 53 | 📌 **Share Your Knowledge**:Submit your own implementations, mini-projects, or useful resources like blogs, website, videos, GitHub repos, and research papers etc. 54 | 55 | Also please subscribe to my [youtube channel!](https://www.youtube.com/@coursesteach-mv5si) 56 | 57 | ## 🛠️ We're Actively Looking for Contributors To: 58 | - Add new tutorials (Python, OpenCV, YOLO, etc.) 59 | - Convert lessons into interactive Colab notebooks 60 | - Fix broken links and typos 61 | - Translate lessons into other languages (e.g., Urdu, Spanish) 62 | - Add quizzes or solutions 63 | - improve the current blog 64 | - suggestion other important website ,repistory,youtube Channel etc 65 | - Create blog from next topic in our jounrney 66 | - Suggest new topics or Video ,Course 67 | - Create Video from blog 68 | 69 | Star this repo if you find it useful ⭐ 70 | 71 | ## **🌍 Join Our Community** 72 | 73 | 🔗 [**YouTube Channe**l](https://www.youtube.com/@coursesteach-mv5si/videos) 74 | 75 | 🔗 [**SubStack Blogs**](https://substack.com/@coursesteach) 76 | 77 | 🔗 [**Facebook**](https://www.facebook.com/CourseTeach) 78 | 79 | 🔗 [**LinkedIn**](https://www.linkedin.com/company/90909828/admin/page-posts/published/) 80 | 81 | 📬 Need Help? Connect with us on [**WhatsApp**](https://chat.whatsapp.com/L9URPRThBEa7GFl0mlwggg) 82 | 83 | ## 📬 Stay Updated with Weekly Computer Vison Lessons! 84 | 85 | Never miss a tutorial! Get weekly insights, updates, and bonus content straight to your inbox. 86 | **Join hundreds of Computer Vision learners on Substack.** 87 | 88 | 👉 [**Subscribe to Our Computer Vision Newsletter**](https://substack.com/@coursesteach) ✨ 89 | 90 | 💡 Optional Badge (to make it pop) 91 | 92 | [![Subscribe on Substack](https://img.shields.io/badge/Subscribe-Substack-orange?style=for-the-badge&logo=substack)](https://substack.com/@coursesteach) 93 | 94 | 95 |
96 |

📕Beginner → Course 01 - 👁️ Introduction of Computer Vision

97 | 98 | ## 👁️ Chapter1: - **Foundations of Computer Vision** 99 | | Topic Name/Tutorial | Video | Code | 100 | |---|---|---| 101 | | [**✅1- What is computer Vision**](https://medium.com/@Coursesteach/computer-vision-part-1-ff493a713887)[-Substack Link](https://substack.com/home/post/p-155666365?source=queue) | [1](https://drive.google.com/file/d/1Cb-Cz0dRwNZzAp5f2K5cVNNwBRo3hki4/view) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 102 | |[**✅2-Computer Vision Tasks and Applications**](https://mushtaqmsit.substack.com/p/computer-vision-tasks-and-applications?r=f2squ&utm_campaign=post&utm_medium=web&triedRedirect=true)|[1](https://drive.google.com/file/d/1DCR-0UllT5J0GNHrTlklsHtF1OCskV0V/view)[-2](https://drive.google.com/file/d/1hDHQfd5h9Jiauk8olHG6Jft0AbOUh36n/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 103 | |[**✅Best Free Resources to Computer Vision**](https://open.substack.com/pub/mushtaqmsit/p/top-10-free-resources-to-learn-computer?r=f2squ&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true)|---|---| 104 | 105 | ## 🔹Chapter2: - **Image As Function** 106 | | Topic Name/Tutorial | Video| Notbook | 107 | |---|---|---| 108 | |[**✅1-Images as Functions Part 1?**](https://substack.com/home/post/p-156223376)|[**1**](https://drive.google.com/file/d/1c6plHK4Yqg_ch8QiNTtfGuSZSK0mt3lf/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 109 | | [**✅2-Images as Functions Part 2?**](https://open.substack.com/pub/mushtaqmsit/p/understanding-images-as-functions-edb?r=f2squ&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false) | [**1**](https://drive.google.com/file/d/1X5RS1-6JfZUmcyDvsP5KF1SR97CFzus2/view) | [![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb) | 110 | | [**✅3-Define an Image as a Function (Quiz)**](https://substack.com/@coursesteach/note/c-91928137?utm_source=notes-share-action&r=f2squ) |[**1**](https://drive.google.com/file/d/1FDmF_Gcl3wtvx6NyNuvl6KAiZlp7KD6Y/view)[**-2**](https://drive.google.com/file/d/1qiwSHYDHSp15_QhMdKuT2nBdhprLJNag/view) | [![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb) | 111 | |[**✅4-Color Planes and Color Image as a Function(Quiz)**](https://open.substack.com/pub/mushtaqmsit/p/understanding-rgb-channels-in-matlab?r=f2squ&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false)|[**1**](https://drive.google.com/file/d/1351z7lTQfAqx3HEGvAGvtm_FVhaMPzK6/view)[**-2**](https://drive.google.com/file/d/1USR6tCVZKK5uN7TkKGduPsH8rVkTCMAY/view)[**-3**](https://drive.google.com/file/d/1qiwSHYDHSp15_QhMdKuT2nBdhprLJNag/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 112 | |[**✅5- Digital Images**](https://mushtaqmsit.substack.com/p/how-computers-see-images)|[**1**](https://drive.google.com/file/d/1bvwInP7sTDxJv6ou7myoIFZLen57tSv_/view)[**-2**](https://drive.google.com/file/d/1M70RJybxbFBjNjf-s_u33IEGZwETVzco/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 113 | |[**✅6-Compute Image Size Quiz-s**](https://mushtaqmsit.substack.com/p/how-to-calculate-image-size-width)|[1](https://www.youtube.com/watch?v=Xp4Oeqs1jUU)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 114 | |[**✅7-Read image in Matlab and Python-S**](https://mushtaqmsit.substack.com/p/how-to-read-and-process-images-in)|---|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 115 | |[**✅8-Image Size and Data Type Quiz/Solution-S**](https://mushtaqmsit.substack.com/p/how-to-get-image-size-and-data-type)|[**1**](https://drive.google.com/file/d/1-zlCSlEvKsBPyuPpUUCio15KdedHG_lj/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 116 | |[**✅9-Crop an Image-s**](https://mushtaqmsit.substack.com/p/what-is-mean-by-crop-an-image)|[**1**](https://drive.google.com/file/d/1y_0Q6HXXHwbJi8bFXSjIRmUTliZ_QETg/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 117 | |[**✅10-Add 2 Images-s**](https://mushtaqmsit.substack.com/p/how-to-add-two-images-in-matlab-and)|[**1**](https://drive.google.com/file/d/1Yu5ZkkVHTm5LPErifK0AyqIAZlorljen/view)[**-2**](https://drive.google.com/file/d/1l6VCJK-gU9cQHvGtJKFj6G8x7xrWkMBx/view)[**-3**](https://drive.google.com/file/d/1-POxIAvqFL1rg3N8r_zQj2-SZz3Vbm-a/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 118 | |[**✅11-Multiply image by a scaler and Blend 2 Images⭐️**](https://mushtaqmsit.substack.com/p/mastering-scalar-multiplication-in)|[**1**](https://drive.google.com/file/d/1QKr5Vw3G1HfjyL3PgD1R6AuY8QU_XhSA/view?pli=1)[-2](https://drive.google.com/file/d/14bY1HdOaC5w4jLby2LwaawzmTwfzhSeB/view)[-3](https://drive.google.com/file/d/11W_RKLTU7XMZ1RHzBZYicBvCBCLxXhrg/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 119 | |[**✅12-Common Types of Noise⭐️**](https://mushtaqmsit.substack.com/p/understanding-image-noise-in-computer)|[**1**](https://drive.google.com/file/d/1BhYdBxwZZLRp144ozXJOVKSvVDRLUPs0/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 120 | |[**✅13-Image Difference⭐️**](https://mushtaqmsit.substack.com/p/image-difference-in-computer-vision)|[**1**](https://drive.google.com/file/d/1NgBBgdzHdmG9UPjFBr4HRYuwtJuSux2t/view)[-2](https://drive.google.com/file/d/1FBPEClURy0oNh-Nt23UmBO2hGwGn3sqw/view)[-3](https://drive.google.com/drive/folders/1q_lNYRTS2ggibGcrc6dEAS-SbRQYF4N2)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 121 | |[**✅14-Generate Gaussian Noise⭐️**](https://mushtaqmsit.substack.com/p/gaussian-noise-in-image-processing)|[**1**](https://drive.google.com/file/d/15ho2IRjIMlZ6dPslpwo9MGR6SumyM938/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 122 | |[**✅15-Effect of Sigma on Gaussian Noise⭐️**](https://mushtaqmsit.substack.com/p/understanding-the-effect-of-sigma)|[**1**](https://drive.google.com/file/d/1SOL6VtxIT08__IBVEsOOrhqYg2xicy2Q/view?usp=sharing)[-2](https://drive.google.com/file/d/1e9wH3cny9Z1UzMgi6-vcmUIJ-mGnDhtx/view)[-3](https://drive.google.com/file/d/1ixofehPc8WprhjNOKqtGIVx4dyyAbqwv/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 123 | |[**✅16-Apply Gaussian Noise⭐️**](https://mushtaqmsit.substack.com/p/applying-gaussian-noise-to-images)|[**1**](https://drive.google.com/file/d/17-X3uDm-_bKEZCLWrh6dzywgrd9Mc6pc/view)[-2](https://drive.google.com/file/d/1HdiI6F0MVJ3OB3VkTiMDreTA_mccXweC/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 124 | |[**✅17-Displaying Images in Matlab and Python⭐️**](https://mushtaqmsit.substack.com/p/basic-image-operations-in-python)|[**1**](https://drive.google.com/file/d/1H06n5AKN-XKDAAPk2GRaloQdSnG8fTgq/view?usp=sharing)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 125 | 126 | ## 🔹Chapter3: - **Filtering** 127 | | Topic Name/Tutorial | Video | NoteBook | 128 | |---|---|---| 129 | | [**✅1- What is Filtering?**](https://mushtaqmsit.substack.com/p/understanding-filters-in-computer) | [1](https://drive.google.com/file/d/1Dw9Iw2B7ag8bF8uz6jp1RfwuIsf5Cgsj/view?usp=sharing) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 130 | | [**✅2- What is Gaussian Noise?**](https://mushtaqmsit.substack.com/p/gaussian-noise-in-computer-vision) | [1](https://drive.google.com/file/d/1K6OvG6Hchl_3kNRw7OBIV40GgbCK3mMM/view?usp=sharing)[-2](https://drive.google.com/file/d/1L4-pNTYyvvts9em7w3cNuBGmNCEHy1IZ/view?usp=sharing) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 131 | | [**✅3- Weighted Moving Average?**](https://mushtaqmsit.substack.com/p/mastering-weighted-moving-averages) | [1](https://drive.google.com/file/d/1-O6oVfb4pv4zCMuJ7CSSAiTXncVcCNsf/view?usp=sharing)[-2](https://drive.google.com/file/d/17zB1EhTfSWDcck1fGaPWFL8wenY6C4DL/view?usp=sharing)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 132 | | [**🌐4- Correlation Filtering?**](https://medium.com/@Coursesteach/computer-vision-part-23-correlation-filtering-34e00910664a) | [1](https://drive.google.com/file/d/1kOOc3jmptZDQnTlxlsDrYfnB33gl0Ldb/view?usp=sharing)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 133 | | [**🌐5- Averaging Filter?**](https://medium.com/@Coursesteach/computer-vision-part-24-averaging-filter-b5dc3918c057) | [1](https://drive.google.com/file/d/1YjCaZ8bXkYSben2l3Qts3IOxbpY4ttcE/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 134 | | [**🌐6- Gaussian Filter?**](https://medium.com/@Coursesteach/computer-vision-part-25-gaussian-filter-c81ea05a4630) | [1](https://drive.google.com/file/d/1RV_UK3USN7rQjiB3Eq1ZZnR8ujAgHJD6/view?usp=sharing)[-2](https://drive.google.com/file/d/1z7svvKJn87Lmj1BchAViLLJ44_YTqFlN/view?usp=sharing)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 135 | | [**🌐7- Gaussian Filter with Matlab and Python?**](https://medium.com/@Coursesteach/computer-vision-part-26-gaussian-filter-with-matlab-and-python-672919cfb0c1) | [1](https://drive.google.com/file/d/1DY8UFbByrBrdbE4sdmcZa8G-kK3s3Q31/view?usp=sharing)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 136 | | [**🌐8- Remove Noise?(r)**](https://medium.com/@Coursesteach/computer-vision-part-27-remove-noise-001e6a7c838b) | [1](https://drive.google.com/file/d/1fzGcwjrWgzc57etIPUsnX_34LciTG1vs/view?usp=sharing)[-2](https://drive.google.com/file/d/1DgS_rRdmpJCckziIn1fRi6h_b0kLfTgj/view?usp=sharing)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 137 | 138 | ## 🔹Chapter4: - **Linearity and Convolution** 139 | | Topic Name/Tutorial | Video | NoteBook | 140 | |---|---|---| 141 | | [**🌐1- Introduction of linear intuition of filtering**](https://medium.com/@Coursesteach/computer-vision-part-28-introduction-of-linear-intuition-of-filtering-83b4269f6019) | [1](https://drive.google.com/file/d/1NRaqwkMiXd5oYWaBnm2BfgpQR3rSvjaj/view) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 142 | | [**🌐2- Impulse Function and Response**](https://medium.com/@Coursesteach/computer-vision-part-29-impulse-function-and-response-2b52dfedc54f) | [1](https://drive.google.com/file/d/1MWTi1FkAdo93cV6MwLMI41Kqn0zxBvFf/view?usp=sharing) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 143 | | [**🌐4- Filtering an Impulse Signal**](https://medium.com/@Coursesteach/computer-vision-part-29-impulse-function-and-response-2b52dfedc54f) | [1](https://drive.google.com/file/d/1KxMS0EEAgVO5SuNujypTUNEuu8qUcURE/view?usp=sharing) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 144 | | [**🌐5- Correlation vs Convolution**](https://medium.com/@Coursesteach/computer-vision-part-30-correlation-vs-convolution-168e1b6851b5) | [1](https://drive.google.com/file/d/1PlCNOA0ElHvpu4NvXHGt0Zyp073Kr0NS/view?usp=sharing)[-2](https://www.youtube.com/watch?v=FbDWmT93nUs) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 145 | | [**🌐5-Properties of Convolution**](https://medium.com/@Coursesteach/computer-vision-part-30-correlation-vs-convolution-168e1b6851b5) | [1](https://drive.google.com/file/d/1dCjqrkS6uGHMoVKvg1drtLPAxoZ8csIH/view?usp=sharing) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 146 | | [**🌐6-Computational Complexity and Separability**](https://medium.com/@Coursesteach/computer-vision-part-31-computational-complexity-and-separability-fc8d78ee3321) | [1](https://drive.google.com/file/d/1o3_E3oHa0SFXb_7WPWwF_HZw7JO9SV9Z/view) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 147 | | [**🌐7-Boundary Issues**](https://medium.com/@Coursesteach/computer-vision-part-31-computational-complexity-and-separability-fc8d78ee3321) | [1](https://drive.google.com/file/d/1iKZD68I6VGebQbVnVebMBf7B4VFA6Umh/view) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 148 | | [**🌐8-Methods**](https://medium.com/@Coursesteach/computer-vision-part-31-computational-complexity-and-separability-fc8d78ee3321) | [1](https://drive.google.com/file/d/1PkQJ7FngkptaxdvvTgowX8hiPBTmzHk_/view?usp=sharing) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 149 | | [**🌐9-Explore Edge Options**](https://medium.com/@Coursesteach/computer-vision-part-32-explore-edge-options-78aae07fe8c5) | [1](https://drive.google.com/file/d/1wZuQ-nlwxIZWWLEEJo4MU5gbcm8xoMxu/view) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 150 | | [**🌐10-Practicing with Linear Filters**](https://medium.com/@Coursesteach/computer-vision-part-33-practicing-with-linear-filters-db29d31a728b) | [1](https://drive.google.com/file/d/1EJMb8LFnTG87Po0LyjwhRDMD_G8BbDYy/view)[-2](https://drive.google.com/file/d/1m6GsASVUDYn8akRdejupOmLlmZ94A43i/view) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 151 | | [**🌐11-Different Kinds of Noise**](https://medium.com/@Coursesteach/computer-vision-part-34-different-kinds-of-noise-2e300d9e4174) | [1](https://drive.google.com/file/d/15zd1sPvVWY8lQlZWGPn9C0NWds5yMpT9/view)[-2](https://drive.google.com/file/d/1FLtZNGhdQLzjF2O-ZQLJxRPBnykSXDJ6/view)[-3](https://drive.google.com/file/d/1qxLwu4jroEZa9FsfyN5CEYI3XoMeX5TJ/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 152 | 153 | ## 🔹Chapter5: - **Filters as Templates** 154 | | Topic Name/Tutorial | Video | NoteBook | 155 | |---|---|---| 156 | | [**🌐1- Introduction of Filters as templates, 1D correlation and 2D Correlations**](https://medium.com/@Coursesteach/computer-vision-part-35-introduction-of-filters-as-templates-8a61c1b7a303) | [1](https://drive.google.com/file/d/1xun5nFgKESdTb2nrEQMP5ltjyt1EVpel/view)[-2](https://drive.google.com/file/d/1qaivyaKMS_8abNeu8-ubaOPByDQ1DiVf/view) [-3](https://drive.google.com/file/d/1mYyHLY97o_Ha6yn_DjxXv5HuGn7Pdesw/view) |[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 157 | | [**🌐2- Find Tempalte ID**](https://medium.com/@Coursesteach/computer-vision-part-36-find-template-1d-2fc954eca1f7) | [1](https://drive.google.com/file/d/1qzeQF-suulO4a9zMWEDWkPRIfPDiftVZ/view)[-2](https://drive.google.com/file/d/1IFjqWMAfOHAjsj0y33NWQQYG24nYokMy/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 158 | | [**🌐3- Template Matching⭐️**](https://medium.com/@Coursesteach/computer-vision-part-37-template-matching-848b423a84ad) | [1](https://drive.google.com/file/d/1SFFwv9u-ypL8GaYgo0BKQChRa2THKkmY/view)[-2](https://drive.google.com/file/d/1LlqdK1lCeXsjJGE84T8AS3vM59nLEOo6/view)[-3](https://drive.google.com/file/d/105OVSmotPZti1xwZqXGdlXwoaC-Rt2cr/view)[-4](https://drive.google.com/file/d/1dv1rIxwPC58qtz4OrML2tOXVow0eMuRD/view)[-5](https://drive.google.com/file/d/1WZi7cE3lvEAihNdqGF13rzFc8qg2xA5p/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 159 | 160 | ## 🔹Chapter6: - **Edge detection: Gradients** 161 | | Topic Name/Tutorial | Video | NoteBook | 162 | |---|---|---| 163 | | [**🌐1- Pattern Finding and Feature Detection**](https://medium.com/@Coursesteach/computer-vision-part-38-exploring-computer-vision-pattern-finding-and-feature-detection-ebd3b8d81353) | [1](https://drive.google.com/file/d/1Pgj5ejwo2sPEgWRkfTgA1YK9xj8KprsD/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 164 | | [**🌐2- Understanding Edges in Images: Why They Matter in Visual Perception**](https://medium.com/@Coursesteach/computer-vision-part-39-understanding-edges-in-images-why-they-matter-in-visual-perception-773ee3ece9a5) | [1](https://drive.google.com/file/d/1zE73_T53xLgqUxXo3nw3NqJJndKiJ_W_/view)[-2](https://drive.google.com/file/d/1YkOa4DCmOJqE7qO_DTAy60YklTxVv-nj/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 165 | | [**🌐3- Edge Detection⭐️**](https://medium.com/@Coursesteach/how-edge-detection-works-in-image-processing-step-by-step-explanation-computer-vision-part-40-49eecc06593a) | [1](https://drive.google.com/file/d/11_MgzHT5N-y_PaslRo27QvPAC1h5CNkf/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 166 | | [**🌐4-Derivatives and Edges⭐️**](https://medium.com/@Coursesteach/finding-peaks-and-edges-the-power-of-derivatives-in-function-analysis-computer-vision-part-41-6ffa1eb3a5cb) | [1](https://drive.google.com/file/d/1Gj_0J21g4SooclT-TlxXuYT1I_o5RhtU/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 167 | | [**🌐5-What is Gradients⭐️**](https://medium.com/@Coursesteach/understanding-differential-operators-and-gradients-in-images-computer-vision-part-42-d18ce2693148) | [1](https://drive.google.com/file/d/1tP-jDm498EXyKWs7NhUQmvzBBxJl7m_3/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 168 | | [**🌐6-Finite Differences⭐️**](https://medium.com/@Coursesteach/discrete-gradients-explained-a-beginners-guide-to-finite-differences-in-computing-computer-d3dd67c8c444) | [1](https://drive.google.com/file/d/19HxBZ53B1Xe74kz43KRqfpocm9gNGVs1/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 169 | | [**🌐7-Partial Derivatives of an Image⭐️**](https://medium.com/@Coursesteach/understanding-partial-derivatives-of-an-image-computer-vision-part-44-33ce203de23c) | [1](https://drive.google.com/file/d/1_e_GIFVSFb-4-Yxic164wBIw_Gsry4pM/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 170 | | [**🌐8-The Discrete Gradient⭐️**](https://medium.com/@Coursesteach/what-are-discrete-gradients-and-why-balanced-operators-matte-computer-vision-part-45-4a46134259bb) | [1](https://drive.google.com/file/d/1TY6yKP9X6PF7Jh2mr1Pqs2cEmrbFVcOU/view)[-2](https://www.youtube.com/watch?v=lOEBsQodtEQ)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 171 | | [**🌐9-Sobel Operator⭐️**](https://medium.com/@Coursesteach/understanding-the-sobel-operator-a-classic-edge-detection-technique-computer-vision-part-46-938faca6ad74) | [1](https://drive.google.com/file/d/1-hfJqthjbAIa_PhwpaNUqKK0uICfbfah/view)[-2](https://www.youtube.com/watch?v=uihBwtPIBxM)[-3](https://www.youtube.com/watch?v=Yz7h9L4gecQ)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 172 | | [**🌐10-Well Known Gradients⭐️**](https://medium.com/@Coursesteach/understanding-the-sobel-operator-a-classic-edge-detection-technique-computer-vision-part-46-938faca6ad74) | [1](https://drive.google.com/file/d/10eyzaLcNMhZ7C4ZMMR9yXc86wHDcFYos/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 173 | | [**🌐11-Gradients direction⭐️**](https://medium.com/@Coursesteach/computing-image-gradients-direction-matlab-python-techniques-for-edge-detection-595b0be8f471) | [1](https://drive.google.com/file/d/18iLgY1BeyTTjnaQbnxJzVvXm9w-JjTh0/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 174 | | [**🌐12-But in the Real World⭐️**](https://medium.com/@Coursesteach/understanding-edge-detection-noise-and-derivatives-explained-computer-vision-p48-482bf2cfcd92) | [1](https://drive.google.com/file/d/1Ul0XDqYyzMWEpNgNIgRpZPXsnRsKLse-/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=whit)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 175 | 176 | ## 🔹Chapter7: - **Edge detection: 2D operators** 177 | | Topic Name/Tutorial | Video | NoteBook | 178 | |---|---|---| 179 | |**🌐1- Introduction**| [1](https://drive.google.com/file/d/1uEKYbYERARDFaPyf_B9USjmJ51O2FKUc/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 180 | |**🌐2-Derivative of Gaussian Filter 2D**| [1](https://drive.google.com/file/d/1YeogWHkDpvYkcgtT_FU-YU-B2lkt7Xsc/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 181 | |**🌐3- Effect of Sigma on Derivatives**| [1](https://drive.google.com/file/d/1P72PPQaVJ_AgpiR69saOriU7L1x4BwJU/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 182 | |**🌐4-Canny Edge Operator P1 **| [1](https://drive.google.com/file/d/1vloOkCm0xaKojql0RXwZ9wjJ6FQwMo3f/viewJ_AgpiR69saOriU7L1x4BwJU/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 183 | |**🌐5-Canny Edge Operator P2**| [1](https://drive.google.com/file/d/1Zt1FG7FZv1LwBY0o_28fonHCDvrA28ww/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 184 | |**🌐6- For Your Eyes Only Demo**| [1](https://drive.google.com/file/d/1k7Lz_g5lC1bVs27jpfRkxabLA_fUVSAd/view)[-2](https://drive.google.com/file/d/1dZPrgk7_DrMvgAKpYaDUFDdmokrF-9jE/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 185 | |**🌐7-Canny Results**| [1](https://drive.google.com/file/d/1kxQoYDEc7l6MiigXjjvjDJAYxCWGOJE5/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 186 | |**🌐8-Single 2D Edge Detection Filter**| [1](https://drive.google.com/file/d/197iBxz3CNkGhSYUmCnCSlcqP7Q8osfUi/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 187 | 188 | ## 🔹Chapter8: - **L1 Hough transform: Lines** 189 | | Topic Name/Tutorial | Video | NoteBook | 190 | |---|---|---| 191 | |**🌐1- Introduction**| [1](https://drive.google.com/file/d/1ReFf1sLrgXGogfAEAX5uM0QZRv0MOEyH/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 192 | |**🌐2-Parametric Model**| [1](https://drive.google.com/file/d/1W4b4tFpzNz8z2Z8up5YqD6yBE3YWtguk/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 193 | |**🌐3-Line Fitting**| [1](https://drive.google.com/file/d/17IRoXWMSjrmsPSFpNM5b2kjo22YJ3d6f/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 194 | |**🌐4-Voting**| [1](https://drive.google.com/file/d/1yiUtV5ElVaYzahr-qdJDlEjDIIppItG4/view)[-2](https://www.youtube.com/watch?v=6yVMpaIoxIU)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 195 | |**🌐5-Hough Space**| [1](https://drive.google.com/file/d/18Oiw44jEOBDAQvgLqmf08UKitF5m849Y/view)[-2](https://www.youtube.com/watch?v=4zHbI-fFIlI)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 196 | |**🌐6-Polar Representation for Lines**| [1](https://drive.google.com/file/d/1Ch2hYB6vdrKa3yfHl3jDNour8hNGFoQu/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 197 | |**🌐7-Basic Hough Transform Algorithm**| [1](https://drive.google.com/file/d/1wrq9J5yCicGgumWu9iE9u7gaUJTjDuOJ/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 198 | |**🌐8-Complexity of the Hough Transform**| [1](https://drive.google.com/file/d/1iYZk9dMrnIpsJniPdmRRbxuQKe0TWkC2/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 199 | |**🌐9-Hough Example**| [1](https://drive.google.com/file/d/1Jkye2NVdFMkqSlsDChJxMhZth1-FPaOM/view)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 200 | |**🌐10-Hough Demo**| [1](https://drive.google.com/drive/u/0/home)|[![Colab icon](https://img.shields.io/badge/Colab-Open-blue.svg?logo=colab&logoColor=white)](https://github.com/hussain0048/Computer-Vision-/blob/main/Introduction_to_Computer_Vision.ipynb)| 201 | 202 | 203 | 204 |
205 | 206 | 207 |
208 |

📕 Computer Vision Resources

209 | 210 | ## 🔹Chapter1: - **Free Courses** 211 | | Title/link| Description | Reading Status | 212 | |---|---|---| 213 | |[**✅1- Deep Learning for Computer Vision**](https://www.youtube.com/watch?v=0nqvO3AM2Vw&list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r&index=3?fbclid=IwZXh0bgNhZW0CMTAAAR2J9tEPD3kPegVzCWQ0WkBYSS6go_0G0PjRSaNojiOjDG85ccS45lZGyBE_aem_Ack4D65TusReJ6ybfh6ZIy9MXZ6ezPKugIzvqWZO2HtMW1C4Y38SpzlpjSzB4pr4-X4tFDusPKaI4SeieXZKMIcn)|by Michigan Online,Youtube| Pending| 214 | |[**✅2- Introduction of Computer Science**](https://www.udacity.com/enrollment/ud810)|It is free course and it contain notes and video| Inprogress| 215 | |[**✅3-Community Computer Vision Course**](https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome)|It is free course huggingface and it contain notes and video| Pending| 216 | |[**✅4-Computer Vision Lane Detection Playlist**](https://www.youtube.com/watch?v=9CCs4stbwCo&list=PLCiTDJays9rWQkp_IuHOd15JXHyVaYQKE&index=1)|Highly recommend for anyone working on self-driving projects, OpenCV practice, or just learning how CV pipelines are structured in real-world scenarios.| 217 | ## 🔹Chapter2: - **Important Website** 218 | | Title/link| Description | Code | 219 | |---|---|---| 220 | |[**✅1- Road Map**](https://coggle.it/diagram/ZO5EUOut86Irr5hc/t/computer-vision-roadmap/760d909a1f28af1782645ff9b5af1dfd4481ce08bf258b4b54f868d7f3a1b8d5)|Road Map on Coggle|---| 221 | 222 | ## 🔹Chapter3: - **Important Social medica Groups** 223 | | Title/link| Description | Code | 224 | |---|---|---| 225 | |[**✅1- Jeff Heaton**](https://www.youtube.com/@HeatonResearch/about)|It is Videos and github|---| 226 | |[**✅2- First Principles of Computer Vision**](https://www.youtube.com/@firstprinciplesofcomputerv3258/playlists)|It is Videos and github|---| 227 | 228 | ## 🔹Chapter4: - **Free Books** 229 | | Title/link| Description | Code | 230 | |---|---|---| 231 | |[**✅1- Foundations of Computer Vision**](https://visionbook.mit.edu/)|Antonio Torralba, Phillip Isola, and William Freeman|---| 232 | 233 | ## 🔹Chapter5: - **Github Repository** 234 | | Title/link| Description | Status | 235 | |---|---|---| 236 | |[**✅1- Computer Science courses with video lectures**](https://github.com/Developer-Y/cs-video-courses?fbclid=IwZXh0bgNhZW0CMTAAAR2J9tEPD3kPegVzCWQ0WkBYSS6go_0G0PjRSaNojiOjDG85ccS45lZGyBE_aem_Ack4D65TusReJ6ybfh6ZIy9MXZ6ezPKugIzvqWZO2HtMW1C4Y38SpzlpjSzB4pr4-X4tFDusPKaI4SeieXZKMIcn)|It is Videos and github| Pending| 237 | |[**✅2-courses & resources**](https://github.com/SkalskiP/courses)|It is course of all AI domain| Pending| 238 | |[**✅3-AIBauchi-Computer-Vision-Bootcamp**](https://github.com/AIBauchi/AIBauchi-Computer-Vision-Bootcamp/tree/main)|It is course of all AI domain| Inprogress| 239 | |[**✅4-Awesome Computer Vision**](https://github.com/jbhuang0604/awesome-computer-vision?tab=readme-ov-file#courses)|It is course of all AI domain| Inprogress| 240 | |[**✅5-Community-led Computer Vision Community Course**](https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome)|This is the repository for a community-led course on Computer Vision. Over 60 contributors from the Hugging Face| Inprogress| 241 | 242 | ## 👁️ Chapter1: - **Important Library and Packages** 243 | | Title/link| Description | Resources | 244 | |---|---|---| 245 | |[**✅1- RBOT (ROI-Based Object Tracking**]()| is an **alternative to YOLO for custom object tracking**. Unlike traditional deep learning models that require thousands of images per object, RBOT aims to learn from **50-100 samples** and track objects without relying on bounding box detection.|---| 246 | |[**✅2- skimage**]()| skimage, short for scikit-image, is an open-source Python library designed for image processing and computer vision..|---| 247 | 248 | 249 | ## 👁️ Chapter1: - **Importatant tutorial** 250 | | Title/link| Description | Status | 251 | |---|---|---| 252 | |[**✅1- Multimodal Data Analysis with Deep Learning**](https://rackenzik.com/multimodal-data-analysis-with-deep-learning/)|It is Videos and github|pending| 253 |
254 | 255 | ## 💻 Workflow: 256 | 257 | - Fork the repository 258 | 259 | - Clone your forked repository using terminal or gitbash. 260 | 261 | - Make changes to the cloned repository 262 | 263 | - Add, Commit and Push 264 | 265 | - Then in Github, in your cloned repository find the option to make a pull request 266 | 267 | > print("Start contributing for Computer Vision") 268 | > 269 | ## ⚙️ Things to Note 270 | 271 | * Anybody interested in learning and contributing to computer Vision repository 272 | * There are no hard prerequisites other than a dedication to learning 273 | * Some experience with the following will be beneficial:,C++ Programming, Basic of Computer 274 | * You can only work on issues that have been assigned to you. 275 | * 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. 276 | * If you have modified/added code work, make sure the code compiles before submitting. 277 | * Strictly use snake_case (underscore_separated) in your file_name and push it in correct folder. 278 | * Do not update the **[README.md](https://github.com/prathimacode-hub/ML-ProjectKart/blob/main/README.md).** 279 | 280 | ## 🔍 Explore more 281 | Explore cutting-edge tools and Python libraries, access insightful slides and source code, and tap into a wealth of free online courses from top universities and organizations. Connect with like-minded individuals on Reddit, Facebook, and beyond, and stay updated with our YouTube channel and GitHub repository. Don’t wait — enroll now and unleash your Computer Vision potential!” 282 | 283 | * [Computer Vision Basic](https://coursesteach.com/enrol/index.php?id=133) 284 | 285 | 286 | ## **✨Top Contributors** 287 | 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. 288 | 289 | Together, let's make this the best AI learning hub website! 🚀 290 | 291 | Thanks goes to these Wonderful People. Contributions of any kind are welcome!🚀 292 | 293 | 294 | 295 | 296 | 297 | 298 | 299 | 300 | 301 | 302 | -------------------------------------------------------------------------------- /📚Chapter 8 L1 Hough transform Lines/New Text Document.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/📚Chapter 8 L1 Hough transform Lines/New Text Document.txt -------------------------------------------------------------------------------- /📚Chapter 1-Introduction/New Text Document.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/📚Chapter 1-Introduction/New Text Document.txt -------------------------------------------------------------------------------- /📚Chapter 2-Image As Function/New Text Document.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/📚Chapter 2-Image As Function/New Text Document.txt -------------------------------------------------------------------------------- /📚Chapter 3-Filtering/New Text Document.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/📚Chapter 3-Filtering/New Text Document.txt -------------------------------------------------------------------------------- /📚Chapter 4-Linearity and Convolution/New Text Document.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/📚Chapter 4-Linearity and Convolution/New Text Document.txt -------------------------------------------------------------------------------- /📚Chapter 5-Filters as Templates/New Text Document.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/📚Chapter 5-Filters as Templates/New Text Document.txt -------------------------------------------------------------------------------- /📚Chapter 6-Edge detection Gradients/New Text Document.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/📚Chapter 6-Edge detection Gradients/New Text Document.txt -------------------------------------------------------------------------------- /📚Chapter7 Edge detection 2D operators/New Text Document.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/📚Chapter7 Edge detection 2D operators/New Text Document.txt -------------------------------------------------------------------------------- /📚🧑‍🎓📝Other Best Free Resources to Learn Computer Vision/New Text Document.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dr-mushtaq/Computer-Vision/98f9bba7847e2df533f030ff21fe01946eafb98a/📚🧑‍🎓📝Other Best Free Resources to Learn Computer Vision/New Text Document.txt --------------------------------------------------------------------------------