A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.
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Updated
Jun 13, 2024 - Python
A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
It is a Pedestrian(Human) Detection which is developed using OpenCV Python
yolov3 tensorflow object detection and report human movements in persian
YOLOv8 re-implementation for human detection using PyTorch
Count pushups from video/webcam - Version 2 - With Daisykit. Tech stack: Human detection, MoveNet human pose detection, Daisykit.
This repository is the implementation of an automatic human hazard detection model based on a human posture. Collaborated with SNU HIS LAB.
Real-time human detection and tracking camera using YOLOV5 and Arduino
OpenCV projects like Face Recognition, Item Detection, Hand Tracking, Body Detection, Color Detection and more.
Smart Surveillance System on RaspberryPi
Desktop backend for CCTV Smart monitoring system
An application which can run object detection tasks from device cameras and IP cameras in real time.
A camera recorder with human detection AI project
Detecting persons skin in a video and make it greenish.
Detect humans in real-time, image or video and count the detected people using OpenCV and HOG Descriptor
Developed a real-time social distancing system with YOLOv3 for human detection, OpenCV for video processing, and Perspective transformation for bird's-eye view. Used Euclidean distance for accurate distance measurement, categorizing individuals into high, low, and no-risk groups for monitoring in public areas and workplaces.
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