Update README.md

README.md

@@ -22,7 +22,9 @@ Compatible with Pulsar2 version: 3.4
 
 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
+- [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) 
 
@@ -47,14 +49,31 @@ For those who are interested in model conversion, you can try to export axmodel
 Download all files from this repository to the device
 
 ```
-
-root@ax650:~/YOLO11-Pose# tree
+(axcl) axera@raspberrypi:~/samples/AXERA-TECH/YOLO11 $ tree -L 2
 .
-|-- ax650
-|   `-- yolo11x.axmodel
-|-- ax_yolo11
-|-- football.jpg
-`-- yolo11_out.jpg
+├── ax620e
+│   └── yolo11s.axmodel.onnx
+├── ax650
+│   ├── yolo11s.axmodel
+│   └── yolo11x.axmodel
+├── ax_aarch64
+│   └── ax_yolo11
+├── axcl_aarch64
+│   └── axcl_yolo11
+├── axcl_x86_64
+│   └── axcl_yolo11
+├── config.json
+├── cut-onnx.py
+├── football.jpg
+├── README.md
+├── ssd_horse.jpg
+├── yolo11_config.json
+├── yolo11_out.jpg
+├── yolo11s-cut.onnx
+└── yolo11-test.py
+
+6 directories, 15 files
+
 ```
 
 ### Inference
@@ -65,7 +84,7 @@ Input image:
 #### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
 
 ```
-root@ax650:~/samples/AXERA-TECH/YOLO11# ./ax_yolo11 -m ax650/yolo11x.axmodel -i football.jpg
+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
@@ -95,4 +114,56 @@ detection num: 9
 ```
 
 Output image:
-![](./yolo11_out.jpg)
+![](./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
+--------------------------------------
+
+```