An extension that gives UIImageView the ability to focus on faces within an image.

Human-detection-and-Tracking

A memory efficient Android image transformation library providing cropping above Face Detection (Face Centering) for Glide.

A Python based tool to extract faces from any picture.

iPhone app for detecting faces from a live camera feed using Swift and iOS 13 API's.

Command line utility to manipulate faces in videos and images

this helps to auto zoom for face on ImageView

OpenCV for Xamarin.iOS

worked on the problem of human detection, face detection, face recognition and tracking an individual

This is my first Internship Project on Deep Learning. This is a challenge of WIDER Face Benchmark whose aim is to detect faces in the images in any condition of various poses, illuminations and occlusions. And we managed to get the accuracy of 91% in detecting every type of images.

An extension that gives UIImageView the ability to focus on faces through Vision Framework within an image

Face Recognition with MTCNN

Face Detection API

A face detection module for humans 🧔‍♂️

Built on OpenCV 3.2.0 and Python 3.6.0/Anaconda 4.3.0. Code to detect faces using Haar Cascade and match faces using LBPH (Local Binary Patterns Histogram) Recognition on a live web camera.

COVID19 Face Mask Detection System

A service that processes images to align detected faces, and return the aligned face as a base64-encoded string.

This project is an app that lets the user control the mouse pointer of their computer using their eye gaze. The app uses multiple pre-trained computer vision models from the openvino model zoo in a structured pipeline to detect the user's eye gaze and move the mouse pointer in the right distance and direction.

DIY surveillance system with a face detection implemented with Python, OpenCV and Flask. Made as a team project for a System Security course at the Faculty of Organization and Informatics, Varaždin, Croatia.

Using MTCNN and YOLOv5 to detect and blur ads and faces in real-time. Overview of real-time object detection and instance segmentation methods. Tutorial on YOLOv5 and MTCNN.