This Python tool detects deepfake images and videos using the MTCNN model in a Jupyter Notebook. It accurately identifies manipulated content by analyzing facial features offering a reliable solution for ensuring digital media authenticity
deepfake_model.mp4
Here're some of the project's best features:
- Detect deepfake image
- Detect deepfake video
- it is a simple drag and drop website
1. Required packages
%pip install numpy Pillow opencv-python pytorch-grad-cam
%pip install torch
%pip install facenet-pytorch
%pip install opencv-python
%pip install pytorch-gradcam
%pip install pytorch-gradcam
%pip install grad-cam
Technologies used in the project:
- Python
- Jupiter notebook
- MTCNN
- resnetinceptionv1_epoch_32.pth