Video Edit Detector

Overview

Video Edit Detector is a Python application that analyzes videos to detect evidence of editing. This tool can be useful for verifying the authenticity of video content.

Features

• Detects common video editing techniques
• Provides a detailed report of detected edits
• Supports various video formats

Requirements

• Python 3.6+
• OpenCV
• NumPy
• MoviePy

Installation

Using Conda

1. Install Conda if you haven't already.

2. Clone the repository:

   git clone https://github.com/yourusername/video_edit_detector.git

3. Navigate to the project directory:

   cd video_edit_detector

4. Create and activate the conda environment:

   conda env create -f env.yml
   conda activate video_edit_detector_env

Using Pip

1. Clone the repository:

   git clone https://github.com/yourusername/video_edit_detector.git

2. Navigate to the project directory:

   cd video_edit_detector

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Place the video file you want to analyze in the videos directory.
2. Run the analysis script, from the pop-up window select your video and wait:

   python analyze_video.py

3. View the generated report in the reports directory.
4. If needed, visualizations can be generated by running the following, and selecting the generated report from the pop-up window:

   python visualize_report.py

Example

python analyze_video.py --input videos/sample_video.mp4

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Contact

For any questions or suggestions, please contact [email protected].