explanation
Computer Vision: Python Face Swap and Fast Deepfakes in Colab is a face swap training course using Python and OpenCV and Deepfake image animation using Colab’s first-order motion model. There’s an old saying that seeing is believing, but in the world of Deep Fic, not everything we see is necessarily true.
In the first half of the course, we build a Python-based face exchange program, and before that, deepfake technology is introduced and its advantages and disadvantages are introduced. We then prepare system requirements, install Anaconda, a Python programming development platform and environment, and provide an optional introductory Python training session. In the following, we will use an animation model to become more familiar with Deep Fick. Of course, Deep Fick requires an expensive GPU, so I’ll use a free alternative to Google Colab.
What you will learn in Computer Vision: Python Face Swap and Quick Deepfake in Colab:
- A custom Python-based face swap app with images, videos, and cameras.
- Deepfake videos based on the First Order Motion model
Course specifications
Publisher: Udemy
teacher: Avilash Nelson
Language:English
Level: Beginner~Advanced
Number of courses: 28
Duration: 4 hours 5 minutes
Computer Vision Course Title: Python Face Swap and Quick Deepfake in Colab 2020-12:
Prerequisite courses:
Appropriate computer configuration (Windows preferred) and passion for research using Deepfake technology.
movie
sample film
installation manual
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Subtitles: No (as per the course specifications in the image, this course does not have subtitles)
Quality: 720
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size
2.6GB