| --- |
| license: other |
| license_link: >- |
| https://github.st.com/AIS/stm32ai-modelzoo/raw/master/pose_estimation/LICENSE.md |
| --- |
| # Head landmarks quantized |
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| ## **Use case** : `Pose estimation` |
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| # Model description |
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| Head landmarks is a single pose estimation model targeted for real-time processing implemented in ONNX. |
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| The model is quantized in int8 format using onnx quantizer. |
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| ## Network information |
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| | Network information | Value | |
| |-------------------------|-----------------| |
| | Framework | ONNX Runtime | |
| | Quantization | int8 | |
| | Provenance | https://github.com/PINTO0309/PINTO_model_zoo/tree/main/032_FaceMesh |
| | Paper | https://developers.google.com/ml-kit/vision/face-mesh-detection | |
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| ## Networks inputs / outputs |
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| With an image resolution of NxM with K keypoints to detect : |
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| | Input Shape | Description | |
| | ----- | ----------- | |
| | (1, N, M, 3) | Single NxM RGB image with UINT8 values between 0 and 255 | |
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| | Output Shape | Description | |
| | ----- | ----------- | |
| | (1, 1, 1, Kx2) | FLOAT values Where Kx2 are the (x,y) values of each keypoints | |
| |
| ## Recommended Platforms |
| |
| | Platform | Supported | Recommended | |
| |----------|-----------|-------------| |
| | STM32L0 | [] | [] | |
| | STM32L4 | [] | [] | |
| | STM32U5 | [] | [] | |
| | STM32H7 | [] | [] | |
| | STM32MP1 | [x] | [] | |
| | STM32MP2 | [x] | [x] | |
| | STM32N6 | [x] | [x] | |
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| # Performances |
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| ## Metrics |
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| Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option. |
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| ### Reference **NPU** memory footprint |
| |Model | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB) | STEdgeAI Core version | |
| |----------|--------|-------------|------------------|------------------|---------------------|-------|-------------------------| |
| | [head_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/headlandmarks/custom_dataset_heads_468kpts/facelandmarksv1_192_int8.onnx) | Int8 | 224x224x3 | STM32N6 | 1739.5 | 0.0 | 3246.47 | 3.0.0 | |
| |
| ### Reference **NPU** inference time |
| | Model | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STEdgeAI Core version | |
| |--------|--------|-------------|------------------|------------------|---------------------|-------|-------------------------| |
| | [head_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/headlandmarks/custom_dataset_heads_468kpts/facelandmarksv1_192_int8.onnx) | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 20.52 | 48.73 | 3.0.0 | |
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