robertkq/sus-cenzura

SUS-CENZURA

SUS-CENZURA is a Python application that automatically blurs certain objects in videos inputted by the user.

Description

SUS-CENZURA is designed to help users protect sensitive information or maintain privacy in videos. It utilizes computer vision techniques to detect and blur specific objects or regions of interest in the input videos.

Features

• Automatic object detection: SUS-CENZURA uses AI models to detect specific objects or regions in the input videos.
• User-friendly interface: SUS-CENZURA provides a simple and intuitive user interface, allowing users to easily select the objects or regions to be blurred.
• Customization options: Users can customize the blur intensity, shape, and size to suit their specific needs.

Installation

1. Clone the repository:

   git clone https://github.com/Robertkq/SUS-CENZURA.git

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the application:

   python src/main.py

2. Select the input video file.

3. Specify the objects to be blurred.

4. Adjust the blur settings as desired.

5. Press the "Start" button to begin the video processing.

Contributing

Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.