Computer Vision Python Face Swap and Quick Deepfake in Colab

Computer Vision: Python Face Swap and Quick Deepfake in Colab

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Deepfake Custom Face Swap using OpenCV Python

Custom Face Swap using Python and OpenCV & Deepfake Image Animation using ‘First Order Motion Model’ paper in Colab

In the first half, we will be creating a basic python based face swap application. Before we proceed, we will have an introduction to the deep fake technique, its applications, advantages and disadvantages. Then we have to prepare our computer with all the dependencies installed. We will be installing Anaconda, the platform and IDE for our python programming. Later there are few optional sessions for those who want to learn the basics of python programming language basics.

Later we will install the rest of dependences required to built our custom python face swap application. After that we will writing the python code line by line to complete the whole program with more than 300 lines. Alternatively you may also download the complete code from the google drive link provided in the last session of this course. At first we will be doing the face swap using two static images. One as the source image and other as the target image. Later we will try it for realtime video from our computer’s web camera. And then we will modify it to make it work with a pre-saved video saved in our computer.

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