Snapchat filter using only Mediapipe and ThreeJS.
-
Updated
Oct 25, 2022 - JavaScript
Snapchat filter using only Mediapipe and ThreeJS.
Face Filter using Deep Learning, Facial Landmarks and Delaunay Triangulation.
Implementing Filter effects as seen on Photoshop, Snapchat etc
Snapchat-Face-Filter is a frontend repository for the project that enables users to apply face filters in real-time using their webcam. By running the provided Python script and opening the web page, users can select and apply various filters to their camera feed. Capture the perfect moment by saving the filtered images to the "image" folder.
The example of Banuba SDK and Agora.io SDK integration to enable augmented reality filters in video calls.
Snapchat filter using only Mediapipe and Opencv.
The example of Banuba SDK and Agora.io SDK integration to enable augmented reality filters in video calls for Android.
Spark AR Studio / AR Spark Shaders for Instagram.
Simple Face filter demo with Unity and echo3D
How to apply face filter on the photo loaded from gallery using DeepAR SDK
Super Saiyan Augmented Reality With OpenCV and Dlib
DeepAR SDK for iOS example project
Snapchat like filters using OpenCV
How to apply face filter on the photo loaded from gallery using DeepAR SDK
Video call using Vonage SDK with face masks provided by DeepAR SDK
Here, I have the kaggle data with the images of people and the points in which their eyes are located. Lets say I have 96*96 pixel image of person and I am given the X,Y co-ordinate where there can be eyes. I am unable to push this data to git. Download it from here:https://www.kaggle.com/c/facial-keypoints-detection/data I then trained this ima…
Simple face change demo with Unity, AR Foundation, and echo3D
Video call using Agora.io SDK with face masks provided by DeepAR SDK
Add a description, image, and links to the face-filters topic page so that developers can more easily learn about it.
To associate your repository with the face-filters topic, visit your repo's landing page and select "manage topics."