Realtime human head pose estimation with ONNXRuntime and OpenCV.
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Updated
Apr 28, 2024 - Python
Realtime human head pose estimation with ONNXRuntime and OpenCV.
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.
SF-TL54: Thermal Facial Landmark Dataset with Visual Pairs.
Python library for analysing faces using PyTorch
ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment
Facial Landmark Detection Using Knowledge Distillation-Based Neural Networks
Wahl-O-Selfie v2 is using facial recognition to categorize human faces into (german) political partys similar to "Wahl-O-Mat".
PoseOSC + FaceOSC + HandOSC + OcrOSC + CatOSC + DogOSC
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".
Some facial landmark detection and alignment methods
2D facial landmarks detection with neural networks
The project aims to develop a CNN-based model capable of detecting facial landmarks and applying customized filters to images.
A deep learning model to detect facial landmarks from images/videos.
Deep learning based Gaze Detection model to control the mouse pointer of your computer.
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.
Facial landmarks detection based on convolution neural network
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 repository for learning virtual characters synchronizing technique
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