From eea3c2eca7e9adf996b675efdf62bd1572e42c5b Mon Sep 17 00:00:00 2001
From: wxywb <xy.wang@zilliz.com>
Date: Mon, 11 Apr 2022 14:55:20 +0800
Subject: [PATCH] update the readme format.

Signed-off-by: wxywb <xy.wang@zilliz.com>
---
 README.md | 24 +++++++++++++++++++-----
 1 file changed, 19 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 379ec2b..f195ff5 100644
--- a/README.md
+++ b/README.md
@@ -3,11 +3,18 @@
 *author: David Wang*
 
 
+<br />
 
-## Desription
+
+
+## Description
 
 This operator extracts embedding vector from facial image using [Inception-ResNet](https://arxiv.org/pdf/1602.07261.pdf). The implementation is an adaptation from [timesler/facenet-pytorch](https://github.com/timesler/facenet-pytorch). 
 
+
+<br />
+
+
 ## Code Example
 
 Extract face image embedding from './img.png'. 
@@ -31,12 +38,16 @@ import towhee
 towhee.glob['path']('./img.png') \
   .image_decode.cv2['path', 'img']() \
   .face_embedding.inceptionresnetv1['img', 'vec']() \
-  .select('img','vec') \
+  .select['img','vec']() \
   .show()
 ```
 <img src="https://towhee.io/face-embedding/inceptionresnetv1/raw/branch/main/result.png" alt="result" style="height:60px;"/>
 
 
+<br />
+
+
+
 ## Factory Constructor
 
 Create the operator via the following factory method
@@ -45,24 +56,27 @@ Create the operator via the following factory method
 
 **Parameters:**
 
-***image_size***: *int*
+***image_size:*** *int*
 
 Scaled input image size to extract embedding. The higher resolution would generate the more discriminateive feature but cost more time to calculate.  
 
 supported types: `int`, default is 160.
 
 
+<br />
+
+
 ## Interface
 
 A face embedding operator takes a face image as input. It extracts the embedding back to ndarray.
 
 **Parameters:**
 
-​	***img***: *towhee.types.Image (a sub-class of numpy.ndarray)*
+​	***img:*** *towhee.types.Image (a sub-class of numpy.ndarray)*
 
 ​	The input image.
 
-**Returns**: *numpy.ndarray*
+**Returns:** *numpy.ndarray*
 
 ​	The extracted image embedding.