From cd18c258d0ef73b98728fd1b993240458f5726bc Mon Sep 17 00:00:00 2001
From: Jael Gu <mengjia.gu@zilliz.com>
Date: Wed, 8 Feb 2023 11:11:18 +0800
Subject: [PATCH] Update

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
---
 README.md | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index 8b1b183..f914683 100644
--- a/README.md
+++ b/README.md
@@ -21,15 +21,16 @@ and use the pretrained SWAG model 'vit_b16_in1k' to generate an image embedding.
 *Write a pipeline with explicit inputs/outputs name specifications:*
 
 ```python
-import towhee
-
-(
-    towhee.glob['path']('./towhee.jpg')
-          .image_decode['path', 'img']()
-          .image_embedding.swag['img', 'vec'](model_name='vit_b16_in1k')
-          .select['img', 'vec']()
-          .show()
+from towhee.dc2 import pipe, ops, DataCollection
+
+p = (
+    pipe.input('path')
+        .map('path', 'img', ops.image_decode())
+        .map('img', 'vec', ops.image_embedding.swag(model_name='vit_b16_in1k'))
+        .output('img', 'vec')
 )
+
+DataCollection(p('towhee.jpeg')).show()
 ```
 <img src="./result.png" width="800px"/>