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README.md

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+---
+license: apache-2.0
+tags: [onnx, mediapipe, pose-detection, blazepose, qtmesheditor]
+---
+
+# BlazePose person detector (ONNX)
+
+Google MediaPipe's BlazePose detector, from the Pose Landmarker `.task`
+bundle, converted to ONNX.
+
+- **Input** `[1,224,224,3]` RGB in `[-1,1]`, letterboxed.
+- **Outputs** `[1,2254,12]` + `[1,2254,1]`. Anchors: strides
+  `[8,16,32,32,32]` → 2254. The ROI is centred on the mid-hip keypoint,
+  sized from the hip→scale keypoint distance, target angle 90°, 1.25× square.
+
+The detector ships fp16 **block-sparse** weights behind DENSIFY ops that
+tf2onnx can't parse; the export densifies them via the TFLite interpreter
+first (see the export script).
+
+## License
+
+Apache-2.0 — this graph is a direct ONNX conversion of a Google
+[MediaPipe](https://developers.google.com/mediapipe) model (Apache-2.0 code
+AND weights). Conversion + numerical-parity proof (vs the Python `mediapipe`
+reference): [`scripts/export-facecap-onnx.py`](https://github.com/fernandotonon/QtMeshEditor/blob/master/scripts/export-facecap-onnx.py),
+contract in [`docs/MOCAP_SPIKE.md`](https://github.com/fernandotonon/QtMeshEditor/blob/master/docs/MOCAP_SPIKE.md).
+
+## How it is used
+
+Mirror of one graph from [`fernandotonon/QtMeshEditor-models`](https://huggingface.co/fernandotonon/QtMeshEditor-models)
+(`mocap/…`), which [QtMeshEditor](https://github.com/fernandotonon/QtMeshEditor)
+downloads on first use for its **Performance Capture** feature (video/webcam →
+facial morph + head + full-body skeletal animation, epic #869). This standalone
+repo is for discoverability; the app fetches from the aggregate repo.