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.
-
Updated
Jul 13, 2020 - Python
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.
A repository for scripts, prefabs, and whatever else
edit your image for age, gender, pose, smile or glasses. This repository explains style-gan and how to play around with facial images.
Real-time selfie filters using facial keypoints regression and opencv
Simple Snapchat-like face filters with Python dlib.
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…
Challenge - GOT Snapchat Filter? GOT Snapchat Filter? Making cool face filters for GOT Characters & yourself !!
A collection of my snapchat lenses
ML/DL Projects will be included in this repository.
This is the backend repository for the "Snapchat-Face-Filter" project. Handles image processing, filter selection, and communication with the frontend. Enables real-time filter application and image manipulation.
Basic Snapchat Filter Challenge For Coding Blocks Online Data Science Course
AI/ML-powered Snapchat filter! It adds a mustache and goggles to any face using advanced facial landmark detection.
Some simple DIY Snapchat filters
In this project, I will be building snapchat like face filters - eyeglasses and moustache for popular Game Of Throne Characters Tyrion Lannister and Jaime.
Add a description, image, and links to the snapchat-face-filter topic page so that developers can more easily learn about it.
To associate your repository with the snapchat-face-filter topic, visit your repo's landing page and select "manage topics."