Python library for analysing faces using PyTorch

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Automated face warping tool.

This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program

The facial detection API allows us to not only detect faces & facial features but also check those faces for particular properties such as if a smile is present or eyes are open etc. This is a simple app that recognizes a face in a photo and highlights it with a box. Also, it captures facial features like eyes, nose, lips, ears etc. All written …

An attendance system based on facial recognition built using OpenCV and Django.

Engagement Detection, including facial detection and emotion recognition, using CNNs/LSTMs.

Detect actor / actress faces in an image and list their work (movies / series)

Facial detection and recognition.

Python/OpenCV script that detect motion on webcam and allow record it to a file and plot a graph for proper Visualization

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.

Created a classifier that can identify and classify 41 types of facial attributes, using an ImageNet pre-trained ResNext50 model provided by PyTorch and CelebA dataset. Multiple data augmentation techniques were used along with the MSE loss function. Obtained a training accuracy of 95.7% and test accuracy of 91.8%.

Detect human face's keypoints such as eyes,noise,mouth and so on automatically by using CNN.

A face detection plugin tested on old and offline smartphone for hybrid applications in Cordova. Runs on iOS, Android and Browser.

UE5 MediaPipe free plugin motion capture and facial

Facial expression recognition using keras model

Simple interface to OpenCV object detection

I have created a GUI Based Contactless University Access Control, Facial Authentication System. By utilizing OpenCV, Haar Cascade, and Python.

This project allows to extract and align faces from an image. Those output images could be used as input for any machine learning algorithm that learn how to recognize faces.

Facial Expression Recognition . Work on both Realtime as well as on a video .