π currently working on
In our project,PrivateLens addresses the critical issue of privacy in the digital age, particularly within the realm of public videography. In an era dominated by vlogging and widespread camera use, the potential for breaching the privacy of unsuspecting individuals captured in video footage has become a significant concern. PrivateLens proposes a software solution designed to automatically detect and anonymize the faces of those who have not consented to be filmed, thereby safeguarding their privacy. This initiative harnesses techniques in face detection, recognition, and image processing, with Python serving as the programming language. Originating from a desire to harmonize the creative freedom inherent in content production with a deep respect for personal privacy, PrivateLens exemplifies the commitment to developing technological solutions that are both innovative and ethically grounded.
Table of Contents
In our project, we will utilize combination of advanced computer vision and detailed analysis ............
Here's why:
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Use the README.md to get started.
This section lists any major frameworks/libraries used in our project (NEEDS UPDATE).
Example:
This is how you begin setting up your project locally. To get a local copy up and running follow these simple example steps.
python install -m venv venv
python -m venv venv
.venv\Scripts\activate
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
Example:
- Add Changelog
- Add back to top links
- Add Additional Templates w/ Examples
- Add "components" document to easily copy & paste sections of the readme
- Multi-language Support
- Chinese
- Spanish
See the open issues for a full list of proposed features (and known issues).
Example: Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/PrivateLens-) - Commit your Changes (
git commit -m 'Add some PrivateLens-') - Push to the Branch (
git push origin feature/PrivateLens-) - Open a Pull Request
Example:
Distributed under the MIT License. See LICENSE.txt for more information.
Hamid Suha - π« - [email protected]
Kenne Son - π« - [email protected]
Project Link: Github
Use this space to list resources you find helpful and would like to give credit to. I've included a few of my favorites to kick things off!
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