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Person-Foot-Detection
File size: 29,817 Bytes 
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---
library_name: pytorch
license: other
tags:
- real_time
- bu_iot
- android
pipeline_tag: object-detection

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/foot_track_net/web-assets/model_demo.png)

# Person-Foot-Detection: Optimized for Mobile Deployment
## Multi-task Human detector


Real-time multiple person detection with accurate feet localization optimized for mobile and edge.

This model is an implementation of Person-Foot-Detection found [here](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/foot_track_net/model.py).


This repository provides scripts to run Person-Foot-Detection on Qualcomm® devices.
More details on model performance across various devices, can be found
[here](https://aihub.qualcomm.com/models/foot_track_net).



### Model Details

- **Model Type:** Model_use_case.object_detection
- **Model Stats:**
  - Inference latency: RealTime
  - Input resolution: 640x480
  - Number of output classes: 2
  - Number of parameters: 2.53M
  - Model size (float): 9.69 MB
  - Model size (w8a8): 2.62 MB
  - Model size (w8a16): 2.90 MB

| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
|---|---|---|---|---|---|---|---|---|
| Person-Foot-Detection | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 23.358 ms | 5 - 32 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 22.535 ms | 3 - 30 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 7.065 ms | 5 - 43 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 12.261 ms | 4 - 42 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 5.06 ms | 5 - 18 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 4.479 ms | 4 - 15 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 6.134 ms | 10 - 27 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.onnx.zip) |
| Person-Foot-Detection | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 7.943 ms | 5 - 33 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 7.131 ms | 2 - 28 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 23.358 ms | 5 - 32 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 22.535 ms | 3 - 30 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 5.14 ms | 1 - 9 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 4.468 ms | 2 - 13 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 8.407 ms | 5 - 39 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 8.805 ms | 0 - 37 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 5.2 ms | 5 - 15 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 4.483 ms | 4 - 16 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 7.943 ms | 5 - 33 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 7.131 ms | 2 - 28 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 3.415 ms | 0 - 39 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 3.164 ms | 4 - 37 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 4.73 ms | 1 - 40 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.onnx.zip) |
| Person-Foot-Detection | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 2.93 ms | 0 - 32 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 2.55 ms | 4 - 41 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 3.828 ms | 1 - 34 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.onnx.zip) |
| Person-Foot-Detection | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 2.796 ms | 0 - 33 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.tflite) |
| Person-Foot-Detection | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 2.409 ms | 4 - 77 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 2.632 ms | 3 - 39 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.onnx.zip) |
| Person-Foot-Detection | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 4.89 ms | 4 - 4 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.dlc) |
| Person-Foot-Detection | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 5.608 ms | 17 - 17 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection.onnx.zip) |
| Person-Foot-Detection | w8a16 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | QNN_DLC | 12.709 ms | 2 - 123 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | ONNX | 538.772 ms | 93 - 97 MB | CPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.onnx.zip) |
| Person-Foot-Detection | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 8.348 ms | 2 - 32 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 5.555 ms | 2 - 41 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 3.312 ms | 2 - 10 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 4.754 ms | 5 - 21 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.onnx.zip) |
| Person-Foot-Detection | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 19.62 ms | 2 - 33 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | ONNX | 232.379 ms | 82 - 86 MB | CPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.onnx.zip) |
| Person-Foot-Detection | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 8.348 ms | 2 - 32 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 3.313 ms | 2 - 10 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 5.031 ms | 2 - 40 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 3.33 ms | 2 - 10 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 19.62 ms | 2 - 33 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 2.32 ms | 2 - 39 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 3.234 ms | 0 - 41 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.onnx.zip) |
| Person-Foot-Detection | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 1.877 ms | 2 - 38 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 2.897 ms | 0 - 41 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.onnx.zip) |
| Person-Foot-Detection | w8a16 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | QNN_DLC | 7.809 ms | 2 - 38 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | ONNX | 276.973 ms | 94 - 109 MB | CPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.onnx.zip) |
| Person-Foot-Detection | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 2.054 ms | 2 - 37 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 2.754 ms | 1 - 41 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.onnx.zip) |
| Person-Foot-Detection | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 3.747 ms | 0 - 0 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.dlc) |
| Person-Foot-Detection | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 4.769 ms | 10 - 10 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a16.onnx.zip) |
| Person-Foot-Detection | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | TFLITE | 4.619 ms | 1 - 8 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | QNN_DLC | 4.729 ms | 1 - 102 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | ONNX | 76.275 ms | 50 - 58 MB | CPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.onnx.zip) |
| Person-Foot-Detection | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 3.659 ms | 0 - 27 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 3.55 ms | 1 - 29 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 1.402 ms | 0 - 35 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 1.437 ms | 1 - 39 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 1.149 ms | 0 - 6 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 1.172 ms | 1 - 12 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 1.675 ms | 0 - 14 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.onnx.zip) |
| Person-Foot-Detection | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 1.64 ms | 0 - 27 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 1.556 ms | 1 - 29 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | TFLITE | 27.487 ms | 1 - 4 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | ONNX | 58.61 ms | 48 - 54 MB | CPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.onnx.zip) |
| Person-Foot-Detection | w8a8 | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 3.659 ms | 0 - 27 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 3.55 ms | 1 - 29 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 1.153 ms | 0 - 13 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 1.166 ms | 1 - 13 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 2.236 ms | 0 - 33 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 2.236 ms | 0 - 34 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 1.189 ms | 0 - 13 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 1.171 ms | 1 - 12 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 1.64 ms | 0 - 27 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 1.556 ms | 1 - 29 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.793 ms | 0 - 44 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 0.798 ms | 1 - 41 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 1.099 ms | 0 - 42 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.onnx.zip) |
| Person-Foot-Detection | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 0.751 ms | 0 - 30 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 0.637 ms | 1 - 35 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 0.953 ms | 0 - 32 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.onnx.zip) |
| Person-Foot-Detection | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | TFLITE | 1.825 ms | 0 - 35 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | QNN_DLC | 2.952 ms | 1 - 36 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | ONNX | 71.533 ms | 51 - 68 MB | CPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.onnx.zip) |
| Person-Foot-Detection | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 0.653 ms | 0 - 29 MB | NPU | [Person-Foot-Detection.tflite](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.tflite) |
| Person-Foot-Detection | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 0.517 ms | 1 - 39 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 0.794 ms | 0 - 38 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.onnx.zip) |
| Person-Foot-Detection | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 1.393 ms | 0 - 0 MB | NPU | [Person-Foot-Detection.dlc](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.dlc) |
| Person-Foot-Detection | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.617 ms | 8 - 8 MB | NPU | [Person-Foot-Detection.onnx.zip](https://huggingface.co/qualcomm/Person-Foot-Detection/blob/main/Person-Foot-Detection_w8a8.onnx.zip) |




## Installation


Install the package via pip:
```bash
# NOTE: 3.10 <= PYTHON_VERSION < 3.14 is supported.
pip install "qai-hub-models[foot-track-net]"
```


## Configure Qualcomm® AI Hub Workbench to run this model on a cloud-hosted device

Sign-in to [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.com/) with your
Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`.

With this API token, you can configure your client to run models on the cloud
hosted devices.
```bash
qai-hub configure --api_token API_TOKEN
```
Navigate to [docs](https://workbench.aihub.qualcomm.com/docs/) for more information.



## Demo off target

The package contains a simple end-to-end demo that downloads pre-trained
weights and runs this model on a sample input.

```bash
python -m qai_hub_models.models.foot_track_net.demo
```

The above demo runs a reference implementation of pre-processing, model
inference, and post processing.

**NOTE**: If you want running in a Jupyter Notebook or Google Colab like
environment, please add the following to your cell (instead of the above).
```
%run -m qai_hub_models.models.foot_track_net.demo
```


### Run model on a cloud-hosted device

In addition to the demo, you can also run the model on a cloud-hosted Qualcomm®
device. This script does the following:
* Performance check on-device on a cloud-hosted device
* Downloads compiled assets that can be deployed on-device for Android.
* Accuracy check between PyTorch and on-device outputs.

```bash
python -m qai_hub_models.models.foot_track_net.export
```



## How does this work?

This [export script](https://aihub.qualcomm.com/models/foot_track_net/qai_hub_models/models/Person-Foot-Detection/export.py)
leverages [Qualcomm® AI Hub](https://aihub.qualcomm.com/) to optimize, validate, and deploy this model
on-device. Lets go through each step below in detail:

Step 1: **Compile model for on-device deployment**

To compile a PyTorch model for on-device deployment, we first trace the model
in memory using the `jit.trace` and then call the `submit_compile_job` API.

```python
import torch

import qai_hub as hub
from qai_hub_models.models.foot_track_net import Model

# Load the model
torch_model = Model.from_pretrained()

# Device
device = hub.Device("Samsung Galaxy S25")

# Trace model
input_shape = torch_model.get_input_spec()
sample_inputs = torch_model.sample_inputs()

pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])

# Compile model on a specific device
compile_job = hub.submit_compile_job(
    model=pt_model,
    device=device,
    input_specs=torch_model.get_input_spec(),
)

# Get target model to run on-device
target_model = compile_job.get_target_model()

```


Step 2: **Performance profiling on cloud-hosted device**

After compiling models from step 1. Models can be profiled model on-device using the
`target_model`. Note that this scripts runs the model on a device automatically
provisioned in the cloud.  Once the job is submitted, you can navigate to a
provided job URL to view a variety of on-device performance metrics.
```python
profile_job = hub.submit_profile_job(
    model=target_model,
    device=device,
)
        
```

Step 3: **Verify on-device accuracy**

To verify the accuracy of the model on-device, you can run on-device inference
on sample input data on the same cloud hosted device.
```python
input_data = torch_model.sample_inputs()
inference_job = hub.submit_inference_job(
    model=target_model,
    device=device,
    inputs=input_data,
)
    on_device_output = inference_job.download_output_data()

```
With the output of the model, you can compute like PSNR, relative errors or
spot check the output with expected output.

**Note**: This on-device profiling and inference requires access to Qualcomm®
AI Hub Workbench. [Sign up for access](https://myaccount.qualcomm.com/signup).



## Run demo on a cloud-hosted device

You can also run the demo on-device.

```bash
python -m qai_hub_models.models.foot_track_net.demo --eval-mode on-device
```

**NOTE**: If you want running in a Jupyter Notebook or Google Colab like
environment, please add the following to your cell (instead of the above).
```
%run -m qai_hub_models.models.foot_track_net.demo -- --eval-mode on-device
```


## Deploying compiled model to Android


The models can be deployed using multiple runtimes:
- TensorFlow Lite (`.tflite` export): [This
  tutorial](https://www.tensorflow.org/lite/android/quickstart) provides a
  guide to deploy the .tflite model in an Android application.


- QNN (`.so` export ): This [sample
  app](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/sample_app.html)
provides instructions on how to use the `.so` shared library  in an Android application.


## View on Qualcomm® AI Hub
Get more details on Person-Foot-Detection's performance across various devices [here](https://aihub.qualcomm.com/models/foot_track_net).
Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)


## License
* The license for the original implementation of Person-Foot-Detection can be found
  [here](https://github.com/quic/ai-hub-models/blob/main/LICENSE).
* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)



## References
* [Source Model Implementation](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/foot_track_net/model.py)



## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).