Mercurial > repos > goeckslab > image_learner

diff html_structure.py @ 19:c460abae83eb draft default tip
planemo upload for repository https://github.com/goeckslab/gleam.git commit b47f0fd63d8d5d18d602d45bb21ebbe36ba4fcfe
author: goeckslab
date: Thu, 18 Dec 2025 16:59:58 +0000
parents: db9be962dc13
--- a/html_structure.py	Sun Dec 14 03:27:12 2025 +0000
+++ b/html_structure.py	Thu Dec 18 16:59:58 2025 +0000
@@ -231,7 +231,7 @@
 <html>
 <head>
   <meta charset="UTF-8">
-  <title>Galaxy-Ludwig Report</title>
+  <title>Image Learner Report</title>
   <style>
     body {
       font-family: Arial, sans-serif;
@@ -719,6 +719,16 @@
         '        <li><strong>Detailed Analysis:</strong> Use <strong>Confusion Matrix stats</strong> '
         'for class-wise performance in classification.</li>'
         '      </ul>'
+        '      <h3>11) Grad-CAM Heatmaps (When Available)</h3>'
+        '      <p><strong>Paper:</strong> <em>Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization</em> '
+        '(Selvaraju, Cogswell, Das, Vedantam, Parikh, Batra; ICCV 2017).</p>'
+        '      <p><strong>What it shows:</strong> A heatmap highlighting image regions that most influenced the model’s prediction '
+        'for a small subset of evaluation samples (we prefer the test split when available).</p>'
+        '      <p><strong>How it is computed (high level):</strong> We use the encoder’s preprocessing (resize + normalization), '
+        'take activations from the last convolution layer, weight them by globally-averaged gradients of the target logits, apply ReLU, '
+        'upsample to input resolution, and overlay on the input image.</p>'
+        '      <p><strong>Availability:</strong> Only supported for convolutional encoders. Models without convolution layers may not '
+        'produce Grad-CAM outputs.</p>'
         '    </div>'
         '  </div>'
         '</div>'
author	goeckslab
date	Thu, 18 Dec 2025 16:59:58 +0000
parents	db9be962dc13
children