Update README.md

README.md

@@ -1,9 +1,96 @@
 ---
-license: bsd-3-clause
+license: mit
+language:
+- en
+base_model:
+- Ultralytics/YOLOv8
+pipeline_tag: object-detection
+tags:
+- Ultralytics
+- YOLOv8
 ---
 
-## Github
-https://github.com/AXERA-TECH/ax-samples
+# YOLOv8
 
-## Convert Guide
-https://zhuanlan.zhihu.com/p/683050593
+This version of YOLOv8 has been converted to run on the Axera NPU using **w8a16** quantization.
+
+This model has been optimized with the following LoRA: 
+
+Compatible with Pulsar2 version: 3.4
+
+## Convert tools links:
+
+For those who are interested in model conversion, you can try to export axmodel through 
+
+- [The repo of AXera Platform](https://github.com/AXERA-TECH/ax-samples), which you can get the detial of guide
+
+- [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html) 
+
+
+## Support Platform
+
+- AX650
+  - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
+  - [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
+- AX630C
+  - [爱芯派2](https://axera-pi-2-docs-cn.readthedocs.io/zh-cn/latest/index.html)
+  - [Module-LLM](https://docs.m5stack.com/zh_CN/module/Module-LLM)
+  - [LLM630 Compute Kit](https://docs.m5stack.com/zh_CN/core/LLM630%20Compute%20Kit)
+  
+|Chips|yolov8s|
+|--|--|
+|AX650| 3.6 ms |
+|AX630C| TBD ms |
+
+## How to use
+
+Download all files from this repository to the device
+
+```
+
+root@ax650:~/YOLO11-Pose# tree
+.
+|-- ax650
+|   `-- yolov8s.axmodel
+|-- ax_yolov8
+|-- football.jpg
+`-- yolov8_out.jpg
+```
+
+### Inference
+
+Input image:
+![](./football.jpg)
+
+#### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
+
+```
+root@ax650:~/samples/AXERA-TECH/YOLOv8# ./ax_yolov8 -m ax650/yolov8s.axmodel -i football.jpg
+--------------------------------------
+model file : ax650/yolov8s.axmodel
+image file : football.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:3.96 ms
+--------------------------------------
+Repeat 1 times, avg time 3.64 ms, max_time 3.64 ms, min_time 3.64 ms
+--------------------------------------
+detection num: 7
+ 0:  93%, [ 757,  215, 1131, 1156], person
+ 0:  93%, [   0,  354,  311, 1104], person
+ 0:  93%, [1351,  342, 1627, 1032], person
+ 0:  91%, [ 488,  478,  661,  998], person
+32:  87%, [ 773,  889,  829,  939], sports ball
+32:  77%, [1231,  876, 1280,  922], sports ball
+ 0:  60%, [1840,  690, 1906,  809], person
+--------------------------------------
+```
+
+Output image:
+![](./yolov8_out.jpg)