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| title: Cvtools | |
| emoji: π | |
| colorFrom: gray | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.25.2 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: A collection of computer vision tools. | |
| # Cvtools | |
| Cvtools is a project showcasing various computer vision functionalities through an interactive Gradio web interface. | |
| ## Features | |
| The application provides the following features via separate tabs in the Gradio interface: | |
| * **Face Detection:** Detects faces in images using either OpenCV's Haar Cascade Classifier or dlib. | |
| * **Age Estimation:** Estimates the age of detected faces using a pre-trained model. | |
| * **Object Detection:** (Placeholder) This tab is a placeholder for future object detection implementation. | |
| ## Setup and Installation | |
| To run this project locally, you will need Python 3.10 or higher installed. | |
| 1. Clone the repository: | |
| ```bash | |
| git clone <repository_url> | |
| cd Cvtools | |
| ``` | |
| 2. Install the required dependencies: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| ## Running the Application | |
| To start the Gradio application, run: | |
| ```bash | |
| python app.py | |
| ``` | |
| The application will be available in your web browser at the address provided in the console output. | |
| ## License | |
| This project is licensed under the MIT License. | |