[DOC] Refine Readme

Signed-off-by: LocoRichard <lichen.wang@zilliz.com>

README.md

@@ -1,4 +1,4 @@
-# MobileFaceNet Face Landmark Detecter
+# MobileFaceNet Face Landmark Detector
 
 *author: David Wang*
 
@@ -9,7 +9,7 @@
 
 ## Description
 
-[MobileFaceNets](https://arxiv.org/pdf/1804.07573) is a class of extremely efficient CNN models to extract 68 landmarks from a facial image, which use less than 1 million parameters and are specifically tailored for high-accuracy real-time face verification on mobile and embedded devices. This repo is an adaptation from [cuijian/pytorch_face_landmark](https://github.com/cunjian/pytorch_face_landmark).
+[MobileFaceNets](https://arxiv.org/pdf/1804.07573) is a class of extremely efficient CNN models to extract 68 landmarks from a facial image. It use less than 1 million parameters and is specifically tailored for high-accuracy real-time face verification on mobile and embedded devices. This repository is an adaptation from [cuijian/pytorch_face_landmark](https://github.com/cunjian/pytorch_face_landmark).
 
 
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@@ -52,7 +52,7 @@ towhee.glob['path']('./img1.jpg') \
 
 ## Factory Constructor
 
-Create the operator via the following factory method
+Create the operator via the following factory method:
 
 ***face_landmark_detection.mobilefacenet(pretrained = True)***
 
@@ -60,9 +60,9 @@ Create the operator via the following factory method
 
 ​  ***pretrained***
 
-​  whether load the pretrained weights.
+​  whether load the pre-trained weights.
 
-​  supported types: `bool`, default is True, using pretrained weights.
+​  supported types: `bool`, default is True, using pre-trained weights.
 
 
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@@ -71,7 +71,7 @@ Create the operator via the following factory method
 
 ## Interface
 
-An image embedding operator takes an image as input. it extracts the embedding back to ndarray.
+An image embedding operator takes an image as input. it extracts the embedding as ndarray.
 
 **Parameters:**