https://github.com/cyberfantics/computervision
https://github.com/cyberfantics/computervision
computer-vision computer-vision-algorithm computer-vision-lectures computer-vision-opencv open-source opencv
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/cyberfantics/computervision
- Owner: cyberfantics
- License: mit
- Created: 2024-04-20T06:00:27.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-23T00:10:28.000Z (10 months ago)
- Last Synced: 2025-04-09T23:13:46.827Z (8 months ago)
- Topics: computer-vision, computer-vision-algorithm, computer-vision-lectures, computer-vision-opencv, open-source, opencv
- Language: Jupyter Notebook
- Homepage:
- Size: 116 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Computer Vision Repository
Welcome to the **Computer Vision** repository! This repository contains labs, lecture notes, and practice files for the **Computer Vision** course taught by **Dr. Wajid Arshad Abbasi**.
Dr. Wajid Arshad Abbasi's GitHub profile: [https://github.com/wajidarshad](https://github.com/wajidarshad)
## 🗂 Repository Structure
The repository is organized into the following folders:
- **Labs**: Contains lab assignments and practical exercises that demonstrate computer vision techniques and concepts.
- **Lectures**: Includes lecture slides, notes, and explanations of computer vision topics covered during the course.
## 🔧 Technologies and Tools Used
This repository focuses on the following:
- **Python**: Programming language for implementing computer vision algorithms.
- **OpenCV**: A powerful library for computer vision tasks like image processing, object detection, and more.
- **NumPy**: For efficient numerical computations.
- **Matplotlib/Seaborn**: For data visualization and image plotting.
- **Other Libraries**: Additional libraries depending on specific labs (e.g., Scikit-learn, TensorFlow, PyTorch).
## 📚 Topics Covered
- Image processing basics: filtering, transformations, and edge detection
- Feature extraction and matching
- Object detection and tracking
- Image classification using deep learning
- Neural network architectures for vision tasks
- Advanced techniques: semantic segmentation, generative models, etc.
## 🚀 How to Use
1. Clone the repository:
```bash
git clone https://github.com/cyberfantics/computer-vision.git
```
2. Navigate to the desired folder (e.g., Labs or Lectures).
3. Open the relevant files to explore the content or run the code.
## 🤝 Contributions
Contributions are welcome! If you find any issue or have ideas for improvement, feel free to create a pull request or open an issue in the repository.
## 📧 Contact
For questions or collaboration opportunities, feel free to reach out at:
- **Email**: [digital.creator380@gmail.com](mailto:digital.creator380@gmail.com)
- **GitHub**: [CyberFantics](https://github.com/cyberfantics)
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Happy coding and learning! 😊