Getting Started
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Updated
Aug 16, 2024
Getting Started
A Tracking Framework for MOT Challenge
Python script for people detection on webcam.
Real-time footfall analysis in retail stores.
Проект по созданию системы безопасности на предприятии, реализующей детектирование людей и автоматическую проверку наличия касок по изображениям с видеокамер
YOLOv8 re-implementation for human detection using PyTorch
The OpenCV project is dedicated to tracking and counting people present in both images and videos. With two distinct folders, this project performs people tracking and counting and also includes the ability to predict the distance from the camera and determine their direction.
Work without Augmenta hardware by simulating people moving in space
Robust Human Matting via Semantic Guidance, ACCV 2022.
ioBroker Adapter for making use of the Reolink-RLC810A capabilies of Movement / People Detection
Liblab, kütüphane doluluk oranı hakkında çalışmalar yapan IoT tabanlı bir görüntü işleme projesidir.
A reliable smart home people counter based on VL53L1X and ESPHome
Raspberry-pi script to capture in-store people data and send them to a server
Detection of people using HOG + Linear SVM and notifying with telegram bot
This project is a part of Udacity Intel® Edge AI for IoT Developers Nanodegree Program. In this project, I have utilized the Intel® Distribution of the OpenVINO™ Toolkit to build a People Counter app, including performing inference on an input video, extracting and analyzing the output data, then sending that data to a server. The model is deplo…
The people counter application demonstrates how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count. This project is a part of Intel Edge AI for IOT Developers Nanodegree pr…
People counter app is used for monitoring people at specific area.
Using HoG feature to detect pedestrians
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