Description
Computer Vision: Python Face Swap & Quick Deepfake in Colab is a face swap training course using Python and OpenCV and deepfake image animation using First Order Motion Model in Colab. There is an old adage that says seeing is believing, but in the world of deepfake, not everything we see is necessarily true.
In the first half of the course, we will build a face swap program based on Python, and of course, before that, we will have an introduction to deep fake techniques, their advantages and disadvantages. Then we’ll prepare our system requirements and install Anaconda, our Python development environment and platform, and offer optional sessions for introductory Python training. In the following, we will learn more about deepfake by using an animation model. Of course, since working with Deepfake requires expensive GPUs, we will use the alternative and free Google Colab.
What you will learn in the Computer Vision: Python Face Swap & Quick Deepfake in Colab course:
- Customized face swapping program based on Python with image, video and camera
- Deepfake videos based on the First Order Motion model
Course details
Publisher: Udemy
Instructors: Abhilash Nelson
English language
Training level: introductory to advanced
Number of courses: 28
Duration: 4 hours and 5 minutes
Course topics Computer Vision: Python Face Swap & Quick Deepfake in Colab 2020-12:
Course prerequisites:
A decent computer configuration (preferably Windows) and an enthusiasm to research with Deepfake Technology
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
Subtitle: No (based on the course specifications in the picture, this course does not have subtitles.)
Quality: 720
download link
Password file(s): www.downloadly.ir
Size
2.6 GB
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