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34 GitHub - neevan0842/Deepshield-DFD: AI-powered deepfake detection for images and videos. Uses deep learning and computer vision to identify manipulated content. Supports real-time analysis via Flask API with GPU acceleration.
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AI-powered deepfake detection for images and videos. Uses deep learning and computer vision to identify manipulated content. Supports real-time analysis via Flask API with GPU acceleration.

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Deepshield-DFD

AI-powered deepfake detection for images and videos. Uses deep learning and computer vision to identify manipulated content. Supports real-time analysis via Flask API with GPU acceleration.

Setup

  1. Clone the repo:
git clone https://github.com/neevan0842/Deepshield-DFD.git
cd DeepShield-DFD
  1. Download pre-trained weights:
bash download_weights.sh
  1. Build Docker image:
docker build -t deepshield .
  1. Run the Docker container:
docker run --gpus all -d -p 5000:5000 -p 8501:8501 -v .:/workspace --name deepshield deepshield

Usage

Upload a video to /uploads and send a POST request to /predict to classify it:

curl -X POST -F "video=@path_to_video.mp4" http://localhost:5000/predict

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AI-powered deepfake detection for images and videos. Uses deep learning and computer vision to identify manipulated content. Supports real-time analysis via Flask API with GPU acceleration.

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