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108 lines
4.8 KiB
108 lines
4.8 KiB
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<meta name="generator" content="Doxygen 1.8.17"/>
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<title>My Project: Stitching Barrel Surface Images and Correcting Their Brightness</title>
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<td id="projectalign" style="padding-left: 0.5em;">
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<div id="projectname">My Project
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<div class="title">Stitching Barrel Surface Images and Correcting Their Brightness </div> </div>
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<div class="contents">
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<div class="textblock"><h1><a class="anchor" id="intro_sec"></a>
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Introduction</h1>
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<p>This is the documentation for the thesis</p>
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<p>There are two .cpp files: <a class="el" href="test_8cpp.html">test.cpp</a> and <a class="el" href="pointbase_8cpp.html">pointbase.cpp</a></p>
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<p><a class="el" href="test_8cpp.html">test.cpp</a> contains sample use cases of the implemented library</p>
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<p><a class="el" href="pointbase_8cpp.html">pointbase.cpp</a> is the implemented library</p>
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<p>in the camera folder are scripts for dataset capture, method of operation is mentioned below</p>
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<h1><a class="anchor" id="prereq"></a>
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Prerequisites</h1>
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<p>OpenCV version: 4.5.2 <a href="https://docs.opencv.org/4.x/d7/d9f/tutorial_linux_install.html">https://docs.opencv.org/4.x/d7/d9f/tutorial_linux_install.html</a></p>
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<p>C++17 jsoncpp: </p><pre class="fragment">sudo apt install libjsoncpp-dev
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sudo ln -s /usr/include/jsoncpp/json/ /usr/include/json
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</pre><h1><a class="anchor" id="install_sec"></a>
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Installation</h1>
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<p>Install using make</p>
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<h1><a class="anchor" id="cam_op"></a>
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Dataset capture</h1>
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<p>The scripts in the camera folder are used for image capture from BBX-mini</p>
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<p>The mode of operation is following:</p>
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<p>0. (If you want to stitch images automatically, make the project and run online stitching)</p>
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<ol type="1">
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<li>Make sure, that you are connected to bbx-mini and that you have addresses that can ping each other</li>
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<li>Copy the contents of camera/raspberry to BBX-mini and make</li>
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<li>Edit the addresses in the server and client scripts</li>
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<li>Run a GStreamer pipeline on BBX-mini (sample pipeline is in runThisOnRpi.txt)</li>
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<li>server.py provides manual stitching with the 'v' button is pressed, server2.py saves the sharpest image each second</li>
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<li>run a chosen server.py on your workstation</li>
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<li>run the client.py script on bbx-mini (lighting is activated by running /lights/lights - needs to be created by make as in step 2) </li>
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</ol>
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