Skip to content

A soft-attention based technique to detect deep fake images.

Notifications You must be signed in to change notification settings

tre3x/Deepfake-Video-Forgery-Detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Deepfake-Video-Forgery-Detection

Getting Started

Prerequisites

You need Python3.X and conda package manager to run this tool

Installation

The follwing steps can be used to install the required packages :

  1. Clone the repository git clone https://github.com/tre3x/Deepfake-Video-Forgery-Detection.git
  2. Inialize a conda environment with neccessary packages conda env create -f environment.yml
  3. Activate conda enviroment conda activate DeepFakeDetection Once the conda enviroment is activated, we can procees to training the model.

Training

For training the model, the following command can be used

python main.py --train {training path} --val {validation path} --epochs {final epoch} --batch {batch size} --steps {steps} 

{training path} : Path to the training image set
{validation path} : Path to the validation image set
{final epochs} : Number of epochs used while training final fused model
{batch size} : Batch Size used while training and validating
{Steps} : Number of steps per epochs while training

About

A soft-attention based technique to detect deep fake images.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages