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titan2022 · Oct 8, 2024 · a1f611e · a1f611e
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diff --git a/dev/PreseasonTraining/OpenCV_ColorSegmentation/index.html b/dev/PreseasonTraining/OpenCV_ColorSegmentation/index.html
@@ -358,6 +358,14 @@ <h3>Camera stream<a class="headerlink" href="#camera-stream" title="Permalink to
 </pre></div>
 </div>
 </section>
+<section id="showing-image">
+<h3>Showing image<a class="headerlink" href="#showing-image" title="Permalink to this heading">¶</a></h3>
+<p>Use the <code class="docutils literal notranslate"><span class="pre">cv.imshow</span></code> function to show image with the first argument corresponding to window title and the second being the frame. Make sure this is inside your while loop so it keeps updating.</p>
+<div class="highlight-py notranslate"><div class="highlight"><pre><span></span><span class="n">cv</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="s2">&quot;Mask&quot;</span><span class="p">,</span> <span class="n">mask</span><span class="p">)</span>
+<span class="n">cv</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="s2">&quot;Feed&quot;</span><span class="p">,</span> <span class="n">final_image</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
 <section id="numpy-arrays">
 <h3>NumPy arrays<a class="headerlink" href="#numpy-arrays" title="Permalink to this heading">¶</a></h3>
 <p>In Python, you can initiate an array using this syntax:</p>
@@ -395,14 +403,6 @@ <h3>Contours<a class="headerlink" href="#contours" title="Permalink to this head
 </pre></div>
 </div>
 </section>
-<section id="showing-image">
-<h3>Showing image<a class="headerlink" href="#showing-image" title="Permalink to this heading">¶</a></h3>
-<p>Use the <code class="docutils literal notranslate"><span class="pre">cv.imshow</span></code> function to show image with the first argument corresponding to window title and the second being the frame. Make sure this is inside your while loop so it keeps updating.</p>
-<div class="highlight-py notranslate"><div class="highlight"><pre><span></span><span class="n">cv</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="s2">&quot;Mask&quot;</span><span class="p">,</span> <span class="n">mask</span><span class="p">)</span>
-<span class="n">cv</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="s2">&quot;Feed&quot;</span><span class="p">,</span> <span class="n">final_image</span><span class="p">)</span>
-</pre></div>
-</div>
-</section>
 </section>
 </section>
 
@@ -474,11 +474,11 @@ <h3>Showing image<a class="headerlink" href="#showing-image" title="Permalink to
 <li><a class="reference internal" href="#instructions">Instructions</a></li>
 <li><a class="reference internal" href="#importing-packages">Importing packages</a></li>
 <li><a class="reference internal" href="#camera-stream">Camera stream</a></li>
+<li><a class="reference internal" href="#showing-image">Showing image</a></li>
 <li><a class="reference internal" href="#numpy-arrays">NumPy arrays</a></li>
 <li><a class="reference internal" href="#converting-frames">Converting frames</a></li>
 <li><a class="reference internal" href="#masking">Masking</a></li>
 <li><a class="reference internal" href="#contours">Contours</a></li>
-<li><a class="reference internal" href="#showing-image">Showing image</a></li>
 </ul>
 </li>
 </ul>

diff --git a/dev/_sources/PreseasonTraining/OpenCV_ColorSegmentation/index.md.txt b/dev/_sources/PreseasonTraining/OpenCV_ColorSegmentation/index.md.txt
@@ -68,6 +68,15 @@ cap.release()
 cv.destroyAllWindows()
 ```
 
+### Showing image
+
+Use the `cv.imshow` function to show image with the first argument corresponding to window title and the second being the frame. Make sure this is inside your while loop so it keeps updating.
+
+```py
+cv.imshow("Mask", mask)
+cv.imshow("Feed", final_image)
+```
+
 ### NumPy arrays
 
 In Python, you can initiate an array using this syntax:
@@ -111,13 +120,4 @@ To visualize our mask on top of the existing imaage, we can get the countours of
 ```py
 contours, _ = cv.findContours(mask, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
 cv.drawContours(your_frame, contours, -1, (0, 255, 0), 3)
-```
-
-### Showing image
-
-Use the `cv.imshow` function to show image with the first argument corresponding to window title and the second being the frame. Make sure this is inside your while loop so it keeps updating.
-
-```py
-cv.imshow("Mask", mask)
-cv.imshow("Feed", final_image)
 ```