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Face Detection

Welcome to the Face Detection Project! This repository aims to develop an efficient and accurate face detection system using cutting-edge computer vision techniques. We encourage collaboration from contributors like you to enhance the capabilities of our system and make it even better.

Getting Started

Follow these steps to get started with the project:

  1. Clone the Repository: Begin by cloning this repository to your local machine using the following command:

    git clone https://github.com/CodeYacht/face-detector.git

  2. Install Dependencies: Navigate to the project directory and install the required dependencies:

      cd face-detector
 pip install -r requirements.txt

  3. Contribute: Work on the assigned tasks or create new ones. Make sure to follow the coding guidelines and best practices outlined in the repository.

  4. Testing: Before submitting your changes, ensure that your code passes all tests. You can run the tests using: python run_tests.py

  5. Submit Pull Request: Once you are satisfied with your contribution, create a pull request to the main branch. Describe your changes and provide relevant details for review.

Guidelines for Contributors

  • Follow the PEP 8 style guide for writing Python code.
  • Create a new branch for each feature or bug fix you are working on. Use a descriptive name for your branch.
  • Write clear commit messages that explain the purpose of your changes.
  • Keep your pull requests focused and avoid bundling multiple unrelated changes in a single request.
  • Engage in constructive discussions and be open to feedback from other contributors.
  • Respect the project's Code of Conduct and maintain a positive and inclusive environment for collaboration.