Update README

Signed-off-by: shiyu22 <shiyu.chen@zilliz.com>

README.md

@@ -1,6 +1,6 @@
 # Pipeline: Image Embedding using Resnet50
 
-Authors: derekdqc, shiyu22
+Authors: derekdqc
 
 ## Overview
 
@@ -38,16 +38,14 @@ $ pip3 install towhee
 >>> from towhee import pipeline
 >>> from PIL import Image
 
->>> img = Image.open('path/to/your/image') # for example, './test.jpg'
+>>> img = Image.open('path/to/your/image')
 >>> embedding_pipeline = pipeline('towhee/image-embedding-resnet50')
 >>> embedding = embedding_pipeline(img)
 ```
 
-> This pipeline uses the resnet50 model, you can also change the parameters `resnet50` in the local file **~/.towhee/image_embedding_resnet50&towhee$main/image_embedding_resnet.yaml** to the `resnet101` model.
-
 ## How it works
 
-This pipeline includes two main operators: [transform image](https://hub.towhee.io/towhee/transform-image-operator-class) (implemented as [towhee/transform-image](https://hub.towhee.io/towhee/transform-image)) and [image embedding](https://hub.towhee.io/towhee/image-embedding-operator-class) (implemented as [towhee/resnet-image-embedding](https://hub.towhee.io/towhee/resnet-image-embedding)). The transform image operator will first convert the original image into a normalized format, such as with 512x512 resolutions. Then, the normalized image will be encoded via image embedding operator, and finally we get a feature vector of the given image.
+This pipeline includes two main operators: [transform image](https://hub.towhee.io/towhee/transform-image-operator-template) (implemented as [towhee/transform-image](https://hub.towhee.io/towhee/transform-image)) and [image embedding](https://hub.towhee.io/towhee/image-embedding-operator-template) (implemented as [towhee/resnet-image-embedding](https://hub.towhee.io/towhee/resnet-image-embedding)). The transform image operator will first convert the original image into a normalized format, such as with 512x512 resolutions. Then, the normalized image will be encoded via image embedding operator, and finally we get a feature vector of the given image.
 
 > Refer [Towhee architecture](https://github.com/towhee-io/towhee#towhee-architecture) for basic concepts in Towhee: pipeline, operator, dataframe.