Update README.md

Author: KelvinCPChiu

README.md

@@ -215,15 +215,22 @@ you can use darknet2pytorch to convert it yourself, or download my converted mod
 # 7. ONNX2TensorRT and DeepStream Inference
   
   1. Compile the DeepStream Nvinfer Plugin 
-  ```cd DeepStream
+  
+  ```
+      cd DeepStream
       make 
   ```
   2. Build a TRT Engine.
+  
    For single batch, 
-   ```trtexec --onnx=<onnx_file> --explicitBatch --saveEngine=<tensorRT_engine_file> --workspace=<size_in_megabytes> --fp16```
+   ```
+   trtexec --onnx=<onnx_file> --explicitBatch --saveEngine=<tensorRT_engine_file> --workspace=<size_in_megabytes> --fp16
+   ```
    
    For multi-batch, 
-  ```trtexec --onnx=<onnx_file> --explicitBatch --shapes=input:Xx3xHxW --optShapes=input:Xx3xHxW --maxShapes=input:Xx3xHxW --minShape=input:1x3xHxW --saveEngine=<tensorRT_engine_file> --fp16```
+  ```
+  trtexec --onnx=<onnx_file> --explicitBatch --shapes=input:Xx3xHxW --optShapes=input:Xx3xHxW --maxShapes=input:Xx3xHxW --minShape=input:1x3xHxW --saveEngine=<tensorRT_engine_file> --fp16
+  ```
   
   Note :The maxShapes could not be larger than model original shape.