From eb3f1b193f118d155bd881d35cd05469a6e03266 Mon Sep 17 00:00:00 2001
From: wxywb <xy.wang@zilliz.com>
Date: Mon, 11 Apr 2022 14:43:57 +0800
Subject: [PATCH] update the format.

Signed-off-by: wxywb <xy.wang@zilliz.com>
---
 README.md | 26 ++++++++++++++++++++++----
 1 file changed, 22 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 8f64ea0..e42f50d 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,10 @@
 # RetinaFace Face Detection 
 
-*Authors: David Wang*
+*author: David Wang*
+
+
+
+<br />
 
 
 
@@ -8,11 +12,15 @@
 
 This operator detects faces in the images by using [RetinaFace](https://arxiv.org/abs/1905.00641) Detector. It will return the bounding box positions and the confidence scores of detected faces. This repo is an adaptaion from [biubug6/Pytorch_Retinaface](https://github.com/biubug6/Pytorch_Retinaface).
 
+
+<br />
+
+
 ## Code Example
 
 Load an image from path './turing.png' and use the pretrained RetinaFace model to generate face bounding boxes and confidence scores. 
 
- *Write the pipeline in simplified style*:
+ *Write the pipeline in simplified style:*
 
 ```python
 import towhee
@@ -33,25 +41,35 @@ import towhee
 towhee.glob['path']('turing.png') \
   .image_decode.cv2['path', 'img']() \
   .face_detection.retinaface['img', ('bbox','score')]() \
-  .select('img', 'bbox', 'score') \
+  .select['img', 'bbox', 'score']() \
   .show()
 ```
 
 <img src="https://towhee.io/face-detection/retinaface/raw/branch/main/result2.png" alt="result2" style="height:60px;"/>
 
+
+<br />
+
+
+
 ## Factory Constructor
 
 Create the operator via the following factory method.
 
 ***face_detection.retinaface()***
 
+
+<br />
+
+
+
 ## Interface
 
 A face detection operator takes an image as input. It generates the bounding box positions and confidence scores 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 image to detect faces.