Add TOC for segmentation tutorials

danforthcenter · Aug 21, 2023 · 9c272ea · 9c272ea
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diff --git a/docs/tutorials.md b/docs/tutorials.md
@@ -226,16 +226,16 @@
     </div>
 </div>
 
-<!--Threshold tools Tutorial-->
+<!--Segmentation Tutorials-->
 <div class="card" style="display:block">
     <a target="_blank" href="" onclick="location.href=this.href.replace('tutorials', 'tutorials/threshold_tutorial');return false;">
-        <img src="https://github.com/danforthcenter/plantcv-tutorial-threshold/blob/main/tutorial_card.png?raw=true" alt="Thresholding tutorial" width="600" height="auto">
+        <img src="https://github.com/danforthcenter/plantcv-tutorial-threshold/blob/main/tutorial_card.png?raw=true" alt="Segmentation tutorials" width="600" height="auto">
     </a>
     <div class="card-title">
         <h6>Thresholding Tutorial</h6>
     </div>
     <div class="card-tags">
-        <span><strong>Tags</strong>: plant shoot, single plant, side-view, RGB, threshold methods, seed, background subtraction, naive bayes, machine learning</span>
+        <span><strong>Tags</strong>: plant shoot, single plant, side-view, RGB, threshold methods, seed, background subtraction, naive bayes, machine learning, segmentation</span>
     </div>
 </div>
 

diff --git a/docs/tutorials/threshold_tutorial.md b/docs/tutorials/threshold_tutorial.md
@@ -1,5 +1,29 @@
-## Tutorial: Thresholding Tutorial
+## Tutorial: Segmentation Tutorial
 
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/danforthcenter/plantcv-tutorial-threshold/HEAD?labpath=index.ipynb) Check out our interactive thresholding tutorial! 
 
-<iframe src="https://nbviewer.jupyter.org/github/danforthcenter/plantcv-tutorial-threshold/blob/main/index.ipynb" width="100%" height="1500px"></iframe>
+## Table of Contents for segmentation tutorials
+1. [Thresholding](#thresholding)
+2. [Edge Detection](#edges)
+3. [Supervised Machine Learning](#naivebayes)
+4. [Unsupervied Machine Learning](#kmeans)
+5. [Background Subtraction](#background)
+6. [Dual Thresholding](#dual)
+
+### Thresholding <a name="thresholding"></a>
+<iframe src="https://nbviewer.jupyter.org/github/danforthcenter/plantcv-tutorial-threshold/blob/main/modules/01.thresholding.ipynb" width="100%" height="1500px"></iframe>
+
+### Edge Detection <a name="edges"></a>
+<iframe src="https://nbviewer.jupyter.org/github/danforthcenter/plantcv-tutorial-threshold/blob/main/modules/02.edge-detection.ipynb" width="100%" height="1500px"></iframe>
+
+### Supervised Machine Learning <a name="naivebayes"></a>
+<iframe src="https://nbviewer.jupyter.org/github/danforthcenter/plantcv-tutorial-threshold/blob/main/modules/03.supervised-machine-learning.ipynb" width="100%" height="1500px"></iframe>
+
+### Unsupervised Machine Learning <a name="kmeans"></a>
+<iframe src="https://nbviewer.jupyter.org/github/danforthcenter/plantcv-tutorial-threshold/blob/main/modules/04.unsupervised-machine-learning.ipynb" width="100%" height="1500px"></iframe>
+
+### Background Subtraction <a name="background"></a>
+<iframe src="https://nbviewer.jupyter.org/github/danforthcenter/plantcv-tutorial-threshold/blob/main/modules/05.background-subtraction.ipynb" width="100%" height="1500px"></iframe>
+
+### Dual Thresholding <a name="dual"></a>
+<iframe src="https://nbviewer.jupyter.org/github/danforthcenter/plantcv-tutorial-threshold/blob/main/modules/06.2d-thresholding.ipynb" width="100%" height="1500px"></iframe>