From fd3a8e2bc8334af3ea591c52b82205c7bd8c49e7 Mon Sep 17 00:00:00 2001
From: Jael Gu <mengjia.gu@zilliz.com>
Date: Mon, 28 Mar 2022 15:32:46 +0800
Subject: [PATCH] Update

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index ca1a252..11cbe73 100644
--- a/README.md
+++ b/README.md
@@ -55,9 +55,9 @@ and use the pretrained ResNet50 model ('resnet50') to generate an image embeddin
  *Write the pipeline in simplified style*:
 
 ```python
-import towhee.DataCollection as dc
+from towhee import dc
 
-dc.glob(./dog.jpg)
+dc.glob('./dog.jpg')
   .image_decode()
   .image_embedding.timm('resnet50')
   .show()
@@ -66,9 +66,9 @@ dc.glob(./dog.jpg)
 *Write a same pipeline with explicit inputs/outputs name specifications:*
 
 ```python
-from towhee import DataCollection as dc
+from towhee import dc
 
-dc.glob['path'](./dog.jpg)
+dc.glob['path']('./dog.jpg')
   .image_decode['path', 'img']()
   .image_embedding.timm['img', 'vec']('resnet50')
   .select('img')