Update README.md

README.md

@@ -4,7 +4,7 @@ license: apache-2.0
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c1fef5b9d81735a12c3fcc/HJVKr4UFL51aZ3uqQkgrm.png)
 
-<h1>ResNet-50: Image Classification</h1>
+# ResNet-50: Image Classification
 
 ResNet is a network with a better effect on classification problems in the ImageNet competition. 
 
@@ -12,7 +12,12 @@ It introduces the concept of residual learning, protects the integrity of inform
 
 The model can be found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py)
 
-**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|
 |:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
@@ -26,7 +31,7 @@ The model can be found [here](https://github.com/pytorch/vision/blob/main/torchv
 |APLUX QCS8550|QCS8550|SNPE|ResNet-50|224|1.4|INT16|NPU|[model download](https://huggingface.co/aidlux/ResNet-50/blob/main/Models/QCS8550/resnet50_int16_htp_snpe2.dlc)|
 |AidBox GS865|QCS8250|SNPE|ResNet-50|224|9|INT8|NPU|[model download]()|
 
-**Demo models conversion**
+**Models Conversion**
 
 Demo models converted from [**AIMO(AI Model Optimizier)**](https://aidlux.com/en/product/aimo).
 
@@ -44,4 +49,20 @@ The demo model conversion step on AIMO can be found blow:
 |APLUX QCS8550|QCS8550|QNN|ResNet-50|224|INT16|NPU|[View Steps](https://huggingface.co/aplux/ResNet-50/blob/main/AIMO/QCS8550/aimo_resnet50_qnn_int16.png)|
 |APLUX QCS8550|QCS8550|SNPE|ResNet-50|224|INT8|NPU|[View Steps](https://huggingface.co/aplux/ResNet-50/blob/main/AIMO/QCS8550/aimo_resnet50_snpe_int8.png)|
 |APLUX QCS8550|QCS8550|SNPE|ResNet-50|224|INT16|NPU|[View Steps](https://huggingface.co/aplux/ResNet-50/blob/main/AIMO/QCS8550/aimo_resnet50_snpe_int16.png)|
-|AidBox GS865|QCS8250|SNPE|ResNet-50|224|INT8|NPU|[View Steps]()|
+|AidBox GS865|QCS8250|SNPE|ResNet-50|224|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/ResNet-50/blob/main/resnet50.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