Update README.md

README.md

@@ -68,17 +68,27 @@ The demo model conversion step on AIMO can be found blow:
 
 ### Step1: convert model
 
-a. Prepare source model in onnx format. The source model can be found [here](https://huggingface.co/aplux/YOLOv5/blob/main/yolov5s.onnx) or following [Source Model](#source-model) to obtain.
+1.1 Prepare source model in onnx format. The source model can be found [here](https://huggingface.co/aplux/YOLOv5/blob/main/yolov5s.onnx) or following [Source Model](#source-model) to obtain.
 
-b. Login [AIMO](https://aidlux.com/en/product/aimo) and convert source model to target format. The model conversion step can follow **AIMO Conversion Step** in [Model Conversion Sheet](#model-conversion).
+1.2 Login [AIMO](https://aidlux.com/en/product/aimo) and convert source model to target format. The model conversion step can follow **AIMO Conversion Step** in [Model Conversion Sheet](#model-conversion).
 
-c. After conversion task done, download target model file.
+1.3 After conversion task done, download target model file.
 
 > note: you can skip convert model step, and directly download converted model in [Performance Sheet](#performance).
 
 ### Step2: install AidLite SDK
 
-The installation guide of AidLite SDK can be found [here](https://huggingface.co/datasets/aplux/AIToolKit/blob/main/AidLite%20SDK%20Development%20Documents.md#installation).
+```bash
+# install aidlite sdk c++ api 
+sudo aid-pkg -i aidlite-sdk
+# install aidlite sdk python api
+python3 -m pip install pyaidlite -i https://mirrors.aidlux.com --trusted-host mirrors.aidlux.com
+```
+
+The developer document of AidLite SDK can be found [here](https://huggingface.co/datasets/aplux/AIToolKit/blob/main/AidLite%20SDK%20Development%20Documents.md).
+
+### Step3: model inference
 
-### Step3: run demo program
+3.1 Download demo program:
 
+3.2