使用OpenCV部署yolov5-pose目标检测+人体姿态估计,包含C++和Python两个版本的程序。支持yolov5s,yolov5m,yolov5l
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Mar 28, 2022 - Python
使用OpenCV部署yolov5-pose目标检测+人体姿态估计,包含C++和Python两个版本的程序。支持yolov5s,yolov5m,yolov5l
Use Deepstream python API to extract the model output tensor and customize the post-processing of YOLO-Pose
The combination of face identification and action recognition for fall detection (ICT Journal)
A simple React application to detect persons and their pose landmarks
Classify human poses with help of yolo pose model.
Yolo11 multi task browser, Object Detection, Pose Estimation, Instance Segmentation Power by onnx-web. support WebGPU wasm(cpu). Realtime process camera, Add your custom model
Real-time active shooter detection system using YOLOv11 for gun and pose recognition. Still under development and training. Designed for research and early-stage security applications.
The aipose library provides a simple API for performing human pose estimation in computer vision projects using pre-trained deep learning models built on PyTorch and TensorFlow.
Visualize, edit and review annotations of detections and pose keypoints
BehaviorScope-X integrates with pose-estimation model-based behavior-classification workflow for multi-animal videos. A pose checkpoint is reused for both keypoint detection and frozen visual feature extraction, while a temporal classifier learns behavior from visual tokens, pose-self features, and inter-animal relational geometry.
Real-time AI gym coaching system using YOLO-Pose for human pose estimation and instant visual feedback on exercise form.
According to the official release of YOLOv7, support for YOLO-POSE inference script `detect_pose.py` has been added.
从2D关键点估计3D姿态:基于单目视频和2D关键点的3D人体姿态估计项目
A real-time, privacy-preserving multimodal wheelchair safety monitoring system based on edge computing. Integrating NVIDIA Jetson, DeepStream, YOLO11-Pose, and physiological sensor fusion with XGBoost for proactive anomaly detection.
ShopGuard is an AI-powered retail monitoring app that helps detect suspicious shoplifting behavior across live cameras, RTSP streams, and recorded video files.
Upload a short walking video → visualize pose keypoints and get quick gait metrics (stride proxy, step time, cadence estimate). Built on YOLO-Pose. One-click Colab + browser demo.
End-to-end vision-based fall detection benchmark and system using RTMPose, YOLO-Pose, ST-GCN++, CTR-GCN and ByteTrack with LOSO evaluation and sliding-window video inference.
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