Universal pose detection system for Unity supporting any pose model. Includes models. Perfect for fitness apps, games, AR/VR with real-time processing.Note: Package focuses on pose detection logic rather than rendering, ensuring broad compatibility across all render pipelines.Pose Detection Interface brings universal human pose detection to Unity projects using the industry-standard COCO pose keypoint format. Works with any COCO pose-segmentation model.Universal Model Support:Compatible with ANY COCO pose-segmentation keypoint format modelPre-configured for all 17 COCO standard keypointsExample models includedEasy model swapping and integrationKey Applications:Fitness and workout tracking applicationsInteractive games with body movement detectionMotion capture and animation systemsAR/VR body tracking solutionsSecurity and monitoring systemsFully Customizable:Modular architecture supporting any pose detection modelExtensive configuration options for performance tuningCross-platform deployment including Android devicesComplete source code for personal custom implementationsContent Includes:Example ONNX modelsComplete example scenes with working demonstrationsReady-to-use prefabs for quick integrationComprehensive scripting API for custom model integrationMade by Yasin Shabani Varaki aka MrFresheyPAXTechnical DetailsKey Features:Universal COCO pose keypoint detection (17 standard keypoints)Support for ANY COCO pose-segmentation format modelReal-time processing with optimized performanceMulti-input support (webcam, video files, playlists)Android mobile platform optimizationPerformance monitoring and FPS trackingAutomatic error handling and recoveryDrag-and-drop prefab systemVisual pose keypoint renderingBatch video processing capabilitiesConfigurable confidence thresholdsUnity 6+ native compatibilityCross-platform deployment supportmodels includedCOCO Keypoint Standard: Nose, Eyes, Ears, Shoulders, Elbows, Wrists, Hips, Knees, AnklesSelected Category: AI & Machine LearningFeatures:Pose DetectionReal-time ProcessingMobile SupportVideo ProcessingNeural NetworksCOCO StandardSupported OS:WindowsmacOSLinuxAndroidAI assisted in drafting a clear, structured README covering features, setup, API usage, and troubleshooting. All AI-generated content was reviewed and edited to ensure accuracy and alignment with the package.The core pose detection algorithms, Unity integration, and creative decisions were developed independently. AI was used solely as a tool to support clarity and efficiency.
