|
|
--- |
|
|
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 | |
|
|
|
|
|
|
