Human-detection-and-Tracking

A Python based tool to extract faces from any picture.

Command line utility to manipulate faces in videos and images

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.

Face Recognition with MTCNN

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.

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.

Поиск человеческого лица с помощью кода на Python

A face detector API that will help you detect faces from a webcam feed or an image

Teotl is a service to provides functions for the detection and comparison of faces in images via base64 and via multipart.

Elevator Simulated using Raspberry Pi 3 with the capability to detect faces and recognize the users to reduce their waiting time.

A Streamlit WebApp that can process photographs and detect faces in it.

Just a simple python script for detecting faces and smiles using openCV

This repository is to use AWS rekognition through Python Botocore Library