Attempt to recreate Snapchat filters in OpenCV
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Updated
Dec 23, 2020 - Jupyter Notebook
Attempt to recreate Snapchat filters in OpenCV
The application uses gaze detection points with the use of deep learning model to estimate the gaze of user's eyes to move the mouse pointer position.
Deep learning based Gaze Detection model to control the mouse pointer of your computer.
Wahl-O-Selfie v2 is using facial recognition to categorize human faces into (german) political partys similar to "Wahl-O-Mat".
Wahl-O-Selfie v1 is using a self-trained machine learning model which categorizes human faces into (german) political partys similar to "Wahl-O-Mat".
A cool instagram tipe mask / opencv controlling 3d model
The project aims to develop a CNN-based model capable of detecting facial landmarks and applying customized filters to images.
Some facial landmark detection and alignment methods
Udacity Nanodegree 131 - OpenVINO computer vision on the edge Project 3 - Gaze Tracking
Facial landmarks detection based on convolution neural network
2D facial landmarks detection with neural networks
The aim of this project is to detect the emotion of a person from a given visual input by using conventional computer vision methods.
A deep learning model to detect facial landmarks from images/videos.
A repository for learning virtual characters synchronizing technique
Super Saiyan Augmented Reality With OpenCV and Dlib
Face Landmarks Detection and Extraction with Dlib, OpenCV, and Python.
This is the last Project in order to obtain the Intel Edge AI Nanodegree from Udacity, the objective is to create an application capable of moving the computer pointer using only the movement from the head and eyes.
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection - Paper Implementation and Supplementary Materials
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