Merge pull request #106 from tldr-group/manual_fixes

merge manual fixes onto main

README.md

@@ -4,7 +4,6 @@
 
 ![Tests](https://github.com/tldr-group/samba-web/actions/workflows/tests.yml/badge.svg)
 
-<!-- ![Diagram showing (a) different labelling types in SAMBA, (b) impact of scale parameter on smart labelling and (c) output segmentation ](docs/gui.png) --> 
 
 
 `SAMBA` (Segment Anything Model Based App) is a trainable segmentation tool for materials science that uses [deep learning](https://github.com/facebookresearch/segment-anything) for fast, high-quality labels and random forests for robust, generalizable segmentations. It is accessible in the browser ([https://www.sambasegment.com](https://www.sambasegment.com)), without the need to download any external dependencies. This repo is a local version of the website which contains the frontend for the website (React + TSX) and the backend (Python + Flask). The frontend handles labelling and the backend sends back SAM embeddings (if requested) and segmentations.

frontend/src/components/Modals.tsx

@@ -100,7 +100,7 @@ const WelcomeModalContent = () => {
             </Modal.Header>
             <Modal.Body>
                 <p>SAMBA is a <b>web-based trainable segmentation app</b>. It has deep-learning powered label suggestions and a random-forest classifier backend.</p>
-                <p>Load an image, choose your brush on the sidebar and place some labels with <b>left click</b>. Zoom with the <b>scroll wheel</b> and pan with <b>arrow keys</b> or <b>WASD</b>. <b>Right click</b> to change the smart label focus size or to finish a polygon. Once you've labelled an example of each class, press <b>"Train Classifier"</b> to segment the image. If you still need help, check out the <a href="https://github.com/tldr-group/samba-web/manual.md">manual</a> or watch a <a href="coming-soon">video tutorial</a>. Have fun!</p>
+                <p>Load an image, choose your brush on the sidebar and place some labels with <b>left click</b>. Zoom with the <b>scroll wheel</b> and pan with <b>arrow keys</b> or <b>WASD</b>. <b>Right click</b> to change the smart label focus size or to finish a polygon. Once you've labelled an example of each class, press <b>"Train Classifier"</b> to segment the image. If you still need help, check out the <a href="https://github.com/tldr-group/samba-web/blob/main/MANUAL.md" target="_blank">manual</a> or watch a <a href="coming-soon">video tutorial</a>. Have fun!</p>
                 <p>Hotkeys:</p>
                 <ul>
                     <li><b>Left Click:</b> place label/polygon point. Hold to draw brush stroke, release to finish.</li>

frontend/src/components/Topbar.tsx

@@ -87,7 +87,7 @@ const Topbar = ({ loadFromFile, loadLabelFile, deleteAll, deleteCurrent, saveSeg
         ["Settings", "settings.png", "", ''],
         ["Gallery", "gallery.png", "", ''],
         ["Paper", "paper.png", "coming_soon", '_blank'],
-        ["Help", "help.png", "https://github.com/tldr-group/samba-web/blob/development/MANUAL.md", '_blank'],
+        ["Help", "help.png", "https://github.com/tldr-group/samba-web/blob/main/MANUAL.md", '_blank'],
         ["Contact", "mail.png", "", ""],
         ["TLDR Group", "tldr.png", "https://tldr-group.github.io/#/", '_blank']
     ]