YOLO11 / README.md
qqc1989's picture
Update README.md
300f7e8 verified
|
raw
history blame contribute delete
4.72 kB
---
license: mit
language:
- en
base_model:
- Ultralytics/YOLO11
pipeline_tag: object-detection
tags:
- Ultralytics
- YOLO11
---
# YOLO11
This version of YOLO11 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 ax-samples](https://github.com/AXERA-TECH/ax-samples), which you can get the how to build the `ax_yolo11`
- [The repo of axcl-samples](https://github.com/AXERA-TECH/axcl-samples), which you can get the how to build the `axcl_yolo11`
- [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|cost|
|--|--|
|AX650| 25 ms |
|AX630C| TBD ms |
## How to use
Download all files from this repository to the device
```
(axcl) axera@raspberrypi:~/samples/AXERA-TECH/YOLO11 $ tree -L 2
.
β”œβ”€β”€ ax620e
β”‚Β Β  └── yolo11s.axmodel.onnx
β”œβ”€β”€ ax650
β”‚Β Β  β”œβ”€β”€ yolo11s.axmodel
β”‚Β Β  └── yolo11x.axmodel
β”œβ”€β”€ ax_aarch64
β”‚Β Β  └── ax_yolo11
β”œβ”€β”€ axcl_aarch64
β”‚Β Β  └── axcl_yolo11
β”œβ”€β”€ axcl_x86_64
β”‚Β Β  └── axcl_yolo11
β”œβ”€β”€ config.json
β”œβ”€β”€ cut-onnx.py
β”œβ”€β”€ football.jpg
β”œβ”€β”€ README.md
β”œβ”€β”€ ssd_horse.jpg
β”œβ”€β”€ yolo11_config.json
β”œβ”€β”€ yolo11_out.jpg
β”œβ”€β”€ yolo11s-cut.onnx
└── yolo11-test.py
6 directories, 15 files
```
### Inference
Input image:
![](./football.jpg)
#### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
```
root@ax650:~/samples/AXERA-TECH/YOLO11# ./ax_aarch64/ax_yolo11 -m ax650/yolo11x.axmodel -i football.jpg
--------------------------------------
model file : ax650/yolo11x.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:4.20 ms
--------------------------------------
Repeat 1 times, avg time 24.56 ms, max_time 24.56 ms, min_time 24.56 ms
--------------------------------------
detection num: 9
0: 94%, [ 757, 220, 1127, 1154], person
0: 94%, [ 0, 357, 314, 1112], person
0: 93%, [1353, 339, 1629, 1037], person
0: 91%, [ 494, 476, 659, 1001], person
32: 86%, [1231, 877, 1281, 922], sports ball
32: 73%, [ 774, 887, 828, 938], sports ball
32: 66%, [1012, 882, 1051, 927], sports ball
0: 54%, [ 0, 543, 83, 1000], person
0: 46%, [1837, 696, 1877, 814], person
--------------------------------------
```
Output image:
![](./yolo11_out.jpg)
#### Inference with M.2 Accelerator card
```
(axcl) axera@raspberrypi:~/samples/AXERA-TECH/YOLO11 $ ./axcl_aarch64/axcl_yolo11 -m ax650/yolo11x.axmodel -i football.jpg
--------------------------------------
model file : ax650/yolo11x.axmodel
image file : football.jpg
img_h, img_w : 640 640
--------------------------------------
axclrtEngineCreateContextt is done.
axclrtEngineGetIOInfo is done.
grpid: 0
input size: 1
name: images
1 x 640 x 640 x 3
output size: 3
name: /model.23/Concat_output_0
1 x 80 x 80 x 144
name: /model.23/Concat_1_output_0
1 x 40 x 40 x 144
name: /model.23/Concat_2_output_0
1 x 20 x 20 x 144
==================================================
Engine push input is done.
--------------------------------------
post process cost time:1.38 ms
--------------------------------------
Repeat 1 times, avg time 24.73 ms, max_time 24.73 ms, min_time 24.73 ms
--------------------------------------
detection num: 9
0: 94%, [ 757, 220, 1127, 1154], person
0: 94%, [ 0, 357, 314, 1112], person
0: 93%, [1353, 339, 1629, 1037], person
0: 91%, [ 494, 476, 659, 1001], person
32: 86%, [1231, 877, 1281, 922], sports ball
32: 73%, [ 774, 887, 828, 938], sports ball
32: 66%, [1012, 882, 1051, 927], sports ball
0: 54%, [ 0, 543, 83, 1000], person
0: 46%, [1837, 696, 1877, 814], person
--------------------------------------
```