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jeeliz / jeelizFaceFilter

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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...).

javascript lightweight tracking webgl threejs library snapchat web deep-learning camera augmented-reality detection faceswap face face-detection 3d face-tracking multiple-faces face-filters face-detect
  • Updated Nov 11, 2020
  • JavaScript

PowerMobileWeb / ARFaceFilter

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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...).

javascript tracking webgl threejs library snapchat deep-learning augmented-reality detection faceswap face face-detection babylonjs webcam 3d face-tracking trackingjs face-filters picojs msqrd
  • Updated Sep 17, 2020
  • JavaScript

kanchan88 / snapchat-like-shades-filter

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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.

machine-learning deep-learning cnn virtual-reality eyes convolutional-neural-networks cnn-model shades snapchat-face-filter face-filters sunglass-filter snapchat-like-filter-using-cnn
  • Updated Aug 13, 2020
  • Python

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