YOLOv8 re-implementation for human detection using PyTorch

Detects Pedestrians in images using HOG as a feature extractor and SVM for classification

Multi-View Operating Room (MVOR) dataset consists of synchronized multi-view frames recorded by three RGB-D cameras in a hybrid OR during real clinical interventions. We provide camera calibration parameters, color and depth frames, human bounding boxes, and 2D/3D pose annotations. The MVOR was released in the MICCAI-LABELS 2018 workshop.

detect the no of people every second entering building gate. #person-detection

Raspberry Pi 4のCPU動作を想定した人検出モデルとデモスクリプト

A ros package that tracks a selected target person using YOLOv3 and DeepSORT

Person Detection using HOG Feature and SVM Classifier

YOLOV3 pytorch implementation as a python package

Person Detection using the EfficientNet B0 and Light Head RCNN running at 12 FPS

[WACV2024] HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information (Accepted at WACV 2024 and LatinX@CVPR2024 Extended Abstract)

Person Detection using YOLO

YOLOv9 object and fire detection for IP security cameras in Python3

A simple dashboard to monitor Social Distancing post COVID19, using Python, Computer Vision and Deep Learning

A person detector which use OpenPose for detection written in python

A pytorch reimplementation of liuwei16/CSP, their trained keras weights are loaded in pytorch.

YOLOv8 trained on CrowdHuman dataset and supports ONNX Runtime Inference for Image, Video and Webcam

PyTorch data loader that crops persons (with their body landmarks) from COCO dataset.

This project makes it easier to make detections using onnx models and cuda's speed.

DeepSort implementation for person tracking using PyTorch

Social Distancing Violation System (SODV) developed using YOLOv3 MS COCO pre-trained model and OpenCV.