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license: mit
language:
- en
base_model:
- Ultralytics/YOLOv8
pipeline_tag: object-detection
tags:
- Ultralytics
- YOLOv8
- YOLOv8-POSE
---
# YOLOv8-POSE
This version of YOLOv8-POSE has been converted to run on the WaveMatrix NPU using **w8a16** quantization.
This model has been optimized with the following LoRA:
Compatible with Pulsar2 version: 5.0
## Convert tools links:
For those who are interested in model conversion, you can try to export axmodel through
- [The repo of ax-samples](https://github.com/WaveMatrix/ax-samples), which you can get the how to build the `ax_yolov8_pose`
- [The repo of axcl-samples](https://github.com/WaveMatrix/axcl-samples), which you can get the how to build the `axcl_yolov8_pose`
- [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html)
## Support Platform
- **WM9955**
- Demo board
- M.2 Accelerator card
- **WM8845**
- Demo board
### Performance Statistics
#### WM9955
| Model | Latency(ms) npu1 | Latency(ms) npu3 |
| :--- | :---: | :---: |
| **yolov8n-pose** | 4.135 | 1.453 |
| **yolov8s-pose** | 10.842 | 3.764 |
| **yolov8m-pose** | 27.515 | 9.577 |
| **yolov8l-pose** | 52.560 | 18.221 |
| **yolov8x-pose** | 90.257 | 29.313 |
#### WM8845
| Model | Latency(ms) npu1 | Latency(ms) npu2 |
| :--- | :---: | :---: |
| **yolov8n-pose** | 14.738 | 8.213 |
| **yolov8s-pose** | 33.157 | 24.109 |
| **yolov8m-pose** | 82.267 | 57.532 |
| **yolov8l-pose** | 145.686 | 101.811 |
| **yolov8x-pose** | 248.331 | 160.857 |
## How to use
Download all files from this repository to the device
### Inference
Input image:
#### Inference with WM8845 Host, such as demo board
```
root@wm8850:/# ./ax_yolov8_pose -m yolov8s_pose.axmodel -i result_yolov8_pose.jpg
--------------------------------------
model file : yolov8s_pose.axmodel
image file : result_yolov8_pose.jpg
img_h, img_w : 640 640
--------------------------------------
Engine creating handle is done.
Engine creating context is done.
Engine get io info is done.
Engine alloc io is done.
Engine push input is done.
--------------------------------------
post process cost time:1.26 ms
--------------------------------------
Repeat 1 times, avg time 3.74 ms, max_time 3.74 ms, min_time 3.74 ms
--------------------------------------
detection num: 4
0: 93%, [ 756, 212, 1127, 1158], person
0: 91%, [ 0, 358, 316, 1105], person
0: 91%, [1349, 338, 1629, 1034], person
0: 87%, [ 489, 474, 656, 996], person
--------------------------------------
```
Output image:
|