Merge remote-tracking branch 'origin/main'

README.md

@@ -4,15 +4,15 @@ Authors: derekdqc
 
 ## Overview
 
-The pipeline is used to **extract the feature vector of a given image**. It first normalizes the image and then uses Resnet50 model to generate the vector.
+The pipeline is used to **extract the feature vector of a given image**. It uses Resnet50 model to generate the vector.
 
 ## Interface
 
 **Input Arguments:**
 
 - img_path:
-  - the input image to be encoded
-  - supported types: `str` (path of the image)
+  - path to the input image
+  - supported types: `str`
 
 **Pipeline Output:**
 
@@ -38,12 +38,13 @@ $ pip3 install towhee
 >>> from towhee import pipeline
 
 >>> embedding_pipeline = pipeline('towhee/image-embedding-resnet50')
->>> embedding = embedding_pipeline('path/to/your/image')
+>>> embedding = embedding_pipeline('path/to/your/image') #such as './readme_res/pipeline.png'
 ```
 
 ## How it works
 
-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.
+This pipeline includes one operator: [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 image will be encoded via image embedding operator, then we can 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.