There are 18 repositories under face-filters topic.
Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).
đź‘» A Snapchat clone built with React and Redux. Written in Typescript. Styled with SASS. Tested with Cypress, Jest and Enzyme. Linted with Eslint and formatted with Prettier!
This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.
Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).
Example for facial recognition by adding masks.
DeepAR SDK for Android example project
Quick start examples for Banuba Face AR SDK on Android
DeepAR SDK for iOS example project
Virtual makeup and beautification for Banuba SDK Web AR
OpenCV API for Face Detection and Face Filters with FastAPI/Flask. Hit A 🌟 Star in Right Corner.
Video call using Agora.io SDK with face masks provided by DeepAR SDK
Spark AR Studio / AR Spark Shaders for Instagram.
The example of Banuba SDK and Agora.io SDK integration to enable augmented reality filters in video calls.
Video call using Agora.io SDK with face masks provided by DeepAR SDK
Simple face change demo with Unity, AR Foundation, and echo3D
Snapchat filter using only Mediapipe and Opencv.
Simple Snapchat-like face filters with Python dlib.
The example of Banuba SDK and Agora.io SDK integration to enable augmented reality filters in video calls for Android.
Snapchat like filters using OpenCV
Simple Face filter demo with Unity and echo3D
Snapchat filter using only Mediapipe and ThreeJS.
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 image using CNN, which in return gives me the model which can predict where the eyes of people can be in the given image of people. After getting the co-cordinate of eye position, I added shades over these pixels. Here, I have also used frontal face cascade to send only facial image to CNN model.
Super Saiyan Augmented Reality With OpenCV and Dlib
How to apply face filter on the photo loaded from gallery using DeepAR SDK
DeepAR SDK for iOS example project
Implementing Filter effects as seen on Photoshop, Snapchat etc
Face Filter using Deep Learning, Facial Landmarks and Delaunay Triangulation.
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.
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