YOLOv8 re-implementation for human detection using PyTorch
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Updated
Jan 11, 2024 - Python
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
YOLOV3 pytorch implementation as a python package
Person Detection using the EfficientNet B0 and Light Head RCNN running at 12 FPS
Person Detection using HOG Feature and SVM Classifier
Person Detection using YOLO
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.
Social Distancing Violation System (SODV) developed using YOLOv3 MS COCO pre-trained model and OpenCV.
PyTorch data loader that crops persons (with their body landmarks) from COCO dataset.
Python application to detect people carrying Fire Arms in videos using ImageAI.
DeepSort implementation for person tracking using PyTorch
Contains the code and weights to our paper "Multi-Task Deep Learning for Depth-based Person Perception in Mobile Robotics" that was published on IROS 2020.
A demo project which uses openvino for person detection, re-identification and age gender classification and also exports detected person as images and predicted data as csv files.
Person Detection with Raspberry Pi and Coral Edge-TPU for my master thesis
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