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_examples/01_Camera_Configuration_single_video.html

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     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.19: https://docutils.sourceforge.io/" />
 
-    <title>Setup a camera configuration for processing a single video &#8212; pyorc 0.5.6 documentation</title>
+    <title>Setup a camera configuration for processing a single video &#8212; pyorc 0.7.0 documentation</title>
 
 
 
@@ -138,7 +138,7 @@
     <script>document.write(`<img src="../_static/orc_logo_color.svg" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">pyOpenRiverCam 0.5.6</p>
+    <p class="title logo__title">pyOpenRiverCam 0.7.0</p>
 
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@@ -475,7 +475,7 @@ <h1>Open movie and plot the first frame<a class="headerlink" href="#Open-movie-a
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 <ul class="simple">
 <li><p>the locally measured water level <code class="docutils literal notranslate"><span class="pre">h_ref</span></code> during your survey. Typically this comes from a staff gauge, that a local person reads out or a pressure gauge. For each video, a new water level must then be provided, which is used to relocate the ground control points to the right location for the new water level, and to estimate the depth over cross-sections, applied later in the process. Since we here process a single video, we don’t have to worry about this.</p></li>
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-CAMERA MATRIX: [[1.4286971e+03 0.0000000e+00 9.6000000e+02]
- [0.0000000e+00 1.4286971e+03 5.4000000e+02]
- [0.0000000e+00 0.0000000e+00 1.0000000e+00]]
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 <p>Below we make a quick plot. Cartopy is used to make the plot geographically aware. We use GoogleTiles, using the satellite style, to get some awareness of the surroundings.</p>
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   <p class="copyright">
 
-      © Copyright 2023, Rainbow Sensing.
+      © Copyright 2024, Rainbow Sensing.
       <br/>
 
   </p>