| | --- |
| | license: other |
| | license_link: >- |
| | https://github.st.com/AIS/stm32ai-modelzoo/raw/master/pose_estimation/LICENSE.md |
| | --- |
| | # Head landmarks quantized |
| |
|
| | ## **Use case** : `Pose estimation` |
| |
|
| | # Model description |
| |
|
| |
|
| | Head landmarks is a single pose estimation model targeted for real-time processing implemented in ONNX. |
| |
|
| | The model is quantized in int8 format using onnx quantizer. |
| |
|
| | ## Network information |
| |
|
| |
|
| | | 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 | |
| | |
| | |
| | ## Networks inputs / outputs |
| | |
| | With an image resolution of NxM with K keypoints to detect : |
| | |
| | | Input Shape | Description | |
| | | ----- | ----------- | |
| | | (1, N, M, 3) | Single NxM RGB image with UINT8 values between 0 and 255 | |
| | |
| | | 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] | |
| | |
| | # Performances |
| | |
| | ## Metrics |
| | |
| | Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option. |
| | |
| | ### 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 | |
| | |
| | |
