QtMeshEditor-poselandmarks-onnx is an open-source ONNX model for detecting human pose landmarks in images. It is designed for integration into computer vision pipelines, supporting body capture and motion analysis. The model is suitable for developers building pose estimation or motion capture tools.
QtMeshEditor Poselandmarks sits in PulseGate's Other AI category. Enabling developers to detect human pose landmarks in images for motion capture and analysis. QtMeshEditor Poselandmarks is an open-source project aimed at computer vision developers. The project is open source (MIT). It runs on the web and API, and it can be self-hosted.
fernandotonon builds and maintains QtMeshEditor Poselandmarks, and the product first shipped in 2020. The project is developed in the open on GitHub with 41 stars and 839 commits in the last 90 days. Across PulseGate's embedding index, QtMeshEditor Poselandmarks has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are pose detection, ONNX format, and API integration.
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