image revision

MNAD_files/style.css

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+/* Space out content a bit */
+
+@import url('https://fonts.googleapis.com/css?family=Baloo|Bungee+Inline|Lato|Righteous|Shojumaru');
+
+body {
+  padding-top: 20px;
+  padding-bottom: 20px;
+  font-family: 'Lato', cursive;
+  font-size: 14px;
+}
+
+/* Everything but the jumbotron gets side spacing for mobile first views */
+.header,
+.row,
+.footer {
+  padding-left: 15px;
+  padding-right: 15px;
+}
+
+/* Custom page header */
+.header {
+  border-bottom: 1px solid #e5e5e5;
+}
+/* Make the masthead heading the same height as the navigation */
+.header h1 {
+  margin-top: 0;
+  margin-bottom: 0;
+  line-height: 40px;
+  padding-bottom: 19px;
+  font-size: 30px;
+  font-weight: bold;
+}
+.header h3 {
+  margin-top: 0;
+  margin-bottom: 0;
+  line-height: 40px;
+  padding-bottom: 19px;
+  font-size: 20px;
+}
+.header h4 {
+  font-family: 'Baloo', cursive;
+}
+
+/* Custom page footer */
+.footer {
+  padding-top: 19px;
+  color: #777;
+  border-top: 1px solid #e5e5e5;
+}
+
+/* Customize container */
+@media (min-width: 938px) {
+  .container {
+    max-width: 900px;
+  }
+}
+.container-narrow > hr {
+  margin: 20px 0;
+}
+
+/* Main marketing message and sign up button */
+.container .jumbotron {
+  text-align: center;
+  border-bottom: 1px solid #e5e5e5;
+  padding-left: 20px;
+  padding: 30px;
+}
+.jumbotron .btn {
+  font-size: 21px;
+  padding: 14px 24px;
+}
+
+.row p + h3 {
+  margin-top: 28px;
+}
+
+div.row h3 {
+  padding-bottom: 5px;
+  border-bottom: 1px solid #ccc;
+}
+
+/* Responsive: Portrait tablets and up */
+@media screen and (min-width: 938px) {
+  /* Remove the padding we set earlier */
+  .header,
+  .marketing,
+  .footer {
+    padding-left: 0;
+    padding-right: 0;
+  }
+  /* Space out the masthead */
+  .header {
+    margin-bottom: 30px;
+  }
+  /* Remove the bottom border on the jumbotron for visual effect */
+  .jumbotron {
+    border-bottom: 0;
+  }
+}
+
+.readme h1 {
+  display: none;
+}
+
+.left_column{
+  float:middle;
+
+}
+
+.right_column{
+  float:middle;
+
+}

README.md

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 # PyTorch implementation of "Learning Memory-guided Normality for Anomaly Detection"
 
-<p align="center"><img src="../MNAD_files/overview.png" alt="no_image" width="40%" height="40%" /><img src="../MNAD_files/teaser.png" alt="no_image" width="60%" height="60%" /></p>
+<p align="center"><img src="./MNAD_files/overview.png" alt="no_image" width="40%" height="40%" /><img src="./MNAD_files/teaser.png" alt="no_image" width="60%" height="60%" /></p>
 This is the implementation of the paper "Learning Memory-guided Normality for Anomaly Detection (CVPR 2020)".
 
 For more information, checkout the project site [[website](https://cvlab.yonsei.ac.kr/projects/MNAD/)] and the paper [[PDF](http://openaccess.thecvf.com/content_CVPR_2020/papers/Park_Learning_Memory-Guided_Normality_for_Anomaly_Detection_CVPR_2020_paper.pdf)].