Update README.md

README.md

@@ -11,7 +11,12 @@ It is based on deep neural network for object recognition and positioning. It ru
 
 The model can be found [here](https://github.com/ultralytics/ultralytics)
 
-**Performance on devices**
+## CONTENTS
+  - [Performance](#performance)
+  - [Model Conversion](#model-conversion)
+  - [Inference](#inference)
+
+**Performance**
 
 |Device|SoC|Runtime|Model|Size (pixels)|Inference Time (ms)|Precision|Compute Unit|Model Download|
 |:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
@@ -25,7 +30,7 @@ The model can be found [here](https://github.com/ultralytics/ultralytics)
 |APLUX QCS8550|QCS8550|SNPE|YOLOv8s(cutoff)|640|9.3|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv8/blob/main/Models/QCS8550/cutoff_yolov8s_int16_htp_snpe2.dlc)|
 |AidBox GS865|QCS8250|SNPE|YOLOv8s(cutoff)|640|35|INT8|NPU|[model download]()|
 
-**Demo models conversion**
+**Models Conversion**
 
 Demo models converted from [**AIMO(AI Model Optimizier)**](https://aidlux.com/en/product/aimo).
 
@@ -43,4 +48,20 @@ The demo model conversion step on AIMO can be found blow:
 |APLUX QCS8550|QCS8550|QNN|YOLOv8s(cutoff)|640|INT16|NPU|[View Steps](https://huggingface.co/aplux/YOLOv8/blob/main/AIMO/QCS8550/aimo_yolov8s_qnn_int16.png)|
 |APLUX QCS8550|QCS8550|SNPE|YOLOv8s(cutoff)|640|INT8|NPU|[View Steps](https://huggingface.co/aplux/YOLOv8/blob/main/AIMO/QCS8550/aimo_yolov8s_snpe_int8.png)|
 |APLUX QCS8550|QCS8550|SNPE|YOLOv8s(cutoff)|640|INT16|NPU|[View Steps](https://huggingface.co/aplux/YOLOv8/blob/main/AIMO/QCS8550/aimo_yolov8s_snpe_int16.png)|
-|AidBox GS865|QCS8250|SNPE|YOLOv8s(cutoff)|640|INT8|NPU|[View Steps]()|
+|AidBox GS865|QCS8250|SNPE|YOLOv8s(cutoff)|640|INT8|NPU|[View Steps]()|
+
+## Inference
+
+### Step1: convert model
+
+a. Prepare source model in onnx format. The source model can be found [here](https://huggingface.co/aplux/YOLOv8/blob/main/yolov8s.onnx).
+
+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).
+
+c. After conversion task done, download target model file.
+
+### 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).
+
+### Step3: run demo program