This repository contains a collection of computer vision projects implemented using various libraries and frameworks. Each project has its own directory and contains a README file with detailed information on how to set up and run the project.
- Face Recognition: A face recognition system that uses OpenCV and Haar Cascades to detect faces and recognize them using a pre-trained SVM model.
- Object Tracking: An object tracking system that uses OpenCV and the KCF algorithm to track objects in a video stream.
- Image Classification: An image classification system that uses TensorFlow and a pre-trained Inception V3 model to classify images into different categories.
- Lane Detection: A lane detection system that uses OpenCV and Hough Transform to detect and draw lanes on a road.
- Gesture Recognition: A gesture recognition system that uses OpenCV and a custom Convolutional Neural Network (CNN) to recognize hand gestures.
To get started with any of the projects, simply navigate to the project directory and follow the instructions in the project's README file. Each project has its own set of dependencies and requirements, so make sure to install those before running the project.
The projects in this repository require various libraries and frameworks, including OpenCV, TensorFlow, and Keras. Make sure to install all the necessary dependencies before running any of the projects. You can install the dependencies using pip or conda.
Contributions to this repository arewelcome! If you would like to contribute to one of the existing projects, feel free to open a pull request with your changes. If you have ideas for new projects, please open an issue to discuss your ideas before starting work on a new project.
When contributing to this repository, please make sure to follow the coding standards and guidelines outlined in each project's README file. Also, make sure to create a new branch for your changes and submit your changes as a pull request.
The code in this repository is licensed under the MIT License. Please see the LICENSE file for more information.
If you have any questions or concerns about this repository, please feel free to contact the repository owner, Mohammad Alamdari, by opening an issue or sending an email to [email protected].