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Zero
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. | |