Face Swapping with Python OpenCV (Step-by-Step) скачать в хорошем качестве

Face Swapping with Python OpenCV (Step-by-Step)

In this complete step-by-step tutorial, I will teach you how to build a Face Swapping Application using Python and OpenCV from scratch. We will deeply understand Delaunay Triangulation, landmark detection, triangle warping, and blending techniques to create a realistic face swap system. This is a practical, real-world computer vision project that will improve your OpenCV skills significantly. Mastering Python OpenCV: With 33 Real-World Projects https://www.udemy.com/course/masterin... ⏱️ Video Timeline: 00:03:37 – Creating the important folder & managing images 00:09:58 – Get Landmarks Points 00:22:54 – Working on getTriangles Function 00:39:10 – Working on Triangulation Function 00:50:55 – Working on Warp Triangle Function 00:55:36 – Triangle-Based Swaps 01:00:58 – Face New Swap Function 01:08:25 – Set Source Image Function 01:19:35 – Start While Loop to Read Frame 01:27:48 – Apply Triangulation on Both Faces & Testing 🛠 Technologies Used: Python OpenCV NumPy Delaunay Triangulation Facial Landmark Detection If you enjoy practical Python OpenCV projects, make sure to: Mastering Python OpenCV: With 33 Real-World Projects https://www.udemy.com/course/masterin... 👍 Like the video 💬 Comment your doubts 🔔 Subscribe for more advanced computer vision tutorials