From d3bcf8d35906c7a11484e1c21d5b04bb21ce6dd8 Mon Sep 17 00:00:00 2001
From: Chenhua Zhu <zchholmes@gmail.com>
Date: Wed, 31 Oct 2018 19:28:31 -0700
Subject: [PATCH] update tsp_image related links

---
 README.md                               | 2 +-
 docs/preprocess_zh/TensorFlow/README.md | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 34b60545..e7edccc4 100644
--- a/README.md
+++ b/README.md
@@ -200,7 +200,7 @@ We put the `predict( image_5 )` method in the callback function of `init()` to e
 [➡ Live Demo](http://tensorspace.org/html/playground/resnet50.html)
 
 <p align="center">
-<img width="100%" src="https://github.com/zchholmes/tsp_image/blob/master/tensorspace_resnet50.gif">
+<img width="100%" src="https://github.com/tensorspace-team/tensorspace/blob/master/assets/tensorspace_resnet50.gif">
 </p>
 <p align="center">
 <b>Fig.7</b> - TensorSpace ResNet-50
diff --git a/docs/preprocess_zh/TensorFlow/README.md b/docs/preprocess_zh/TensorFlow/README.md
index e7297db9..c34fd4af 100644
--- a/docs/preprocess_zh/TensorFlow/README.md
+++ b/docs/preprocess_zh/TensorFlow/README.md
@@ -90,7 +90,7 @@ x_test = np.pad(x_test, ((0,0), (2,2), (2,2), (0,0)), 'constant')
 #### 第二步，根据 LeNet_v5 的网络结构来构建模型
 
 <p align="center">
-<img src="https://github.com/zchholmes/tsp_image/blob/master/General/intro_preprocess_s_zh.png" alt="LeNet structure" width="800" >
+<img src="./img/intro_preprocess_s_zh.png" alt="LeNet structure" width="800" >
 <br/>
 <b>图2</b> - LeNet 网络结构
 </p>