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)
Classify human poses with help of yolo pose model.
A simple React application to detect persons and their pose landmarks
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.
Restaurant analysis using YOLO26 Pose for person detection, seated guest counting, table occupancy tracking, and MJPEG video streaming.
YOLO-based body pose tracker that counts reps, flags incorrect form, and generates a session report. Bridges CV and rehabilitation.
基于 YOLO Pose 的指针仪表自动读数系统。支持图片上传与 MJPEG 视频流,透视鲁棒的角度插值算法,单命令启动的 FastAPI 前后端一体化服务。
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.
Visualize, edit and review annotations of detections and pose keypoints
Real-time AI gym coaching system using YOLO-Pose for human pose estimation and instant visual feedback on exercise form.
Desktop human pose estimation app for images, webcam, and video using MediaPipe, YOLO Pose, React, Tauri, Rust, and Python.
Real-time industrial restricted zone monitoring (<22ms p95). Decouples deep learning perception (YOLO-Pose) from metric planar homography, kinematic Kalman filtering, and deterministic spatial statecharts with hysteresis.
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.
According to the official release of YOLOv7, support for YOLO-POSE inference script `detect_pose.py` has been added.
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