From d53a52f359a79e6b393c37dd69de37f26cf1386f Mon Sep 17 00:00:00 2001
From: freeneuro <923237475@qq.com>
Date: Sun, 12 Sep 2021 16:39:39 +0800
Subject: [PATCH] Update README.md

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 README.md | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 18b3517..9349417 100644
--- a/README.md
+++ b/README.md
@@ -4,8 +4,7 @@ Case study of the FCA. The code can be find in [FCA]([http://]).
 
 ### Cases of digital attack
 
-![image](https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_10_elevation_30_adv_pred.gif)
-
+<img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_10_elevation_30_adv_pred.gif?raw=true'/>
 ### Cases of multi-view robust
 
 
@@ -14,6 +13,5 @@ Case study of the FCA. The code can be find in [FCA]([http://]).
 
 #### Different combination of loss terms
 
-![image](https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/abaltion_study_loss.png)
-
+<img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/abaltion_study_loss.png?raw=true'/>
 As we can see from the Figure, different loss term plays different role in attacking. For example, the camouflaged car generated by `obj+smooth (we omit the smooth loss, and denotes as obj)` hardly hidden from the detector, while the camouflaged car generated by `iou` successfully suppress the detecting bounding box of the car region, and finally the camouflaged car generated by `cls` successfully make the detector to misclassify the car to anther category.