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<li class="toctree-l1 current"><a class="current reference internal" href="#">Vision</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="#opencv-stream">Opencv Stream</a></li>
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<div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
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<section id="vision">
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<span id="lib-vision"></span><h1>Vision<a class="headerlink" href="#vision" title="Permalink to this headline"></a></h1>
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<div class="section" id="vision">
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<span id="lib-vision"></span><h1>Vision<a class="headerlink" href="#vision" title="Permalink to this headline">¶</a></h1>
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<p>This module provides an interface for grabbing an rtmp stream and using the images to do some processing in opencv.</p>
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<p>How do I use this module?</p>
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<ol class="arabic simple">
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<li><p>Publish the processed frames on an http server</p></li>
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<li><p>You can view the http stream of your processed images in a web browser</p></li>
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</ol>
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<section id="opencv-stream">
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<h2>Opencv Stream<a class="headerlink" href="#opencv-stream" title="Permalink to this headline"></a></h2>
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<div class="section" id="opencv-stream">
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<h2>Opencv Stream<a class="headerlink" href="#opencv-stream" title="Permalink to this headline">¶</a></h2>
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<p>Because of the rtmp stream needing to buffer some frames and waiting for P-Frames, importing this module might take up
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to 5 Seconds.</p>
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<dl class="py class">
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<dt class="sig sig-object py" id="compLib.Vision.__Streaming">
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<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">compLib.Vision.</span></span><span class="sig-name descname"><span class="pre">__Streaming</span></span><a class="headerlink" href="#compLib.Vision.__Streaming" title="Permalink to this definition"></a></dt>
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<dt id="compLib.Vision.__Streaming">
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<em class="property">class </em><code class="sig-prename descclassname">compLib.Vision.</code><code class="sig-name descname">__Streaming</code><a class="headerlink" href="#compLib.Vision.__Streaming" title="Permalink to this definition">¶</a></dt>
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<dd><p>Class that handles rtmp streaming for opencv.</p>
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<p>DO NOT CREATE AN INSTANCE OF THIS CLASS YOURSELF!</p>
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<p>This is automatically done when importing this module. Use Vision.Streaming which is
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an instance of this class!</p>
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<p>grab frames -> do your own processing -> publish frame -> view on http server</p>
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<dl class="py method">
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<dt class="sig sig-object py" id="compLib.Vision.__Streaming.get_frame">
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<span class="sig-name descname"><span class="pre">get_frame</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#compLib.Vision.__Streaming.get_frame" title="Permalink to this definition"></a></dt>
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<dt id="compLib.Vision.__Streaming.get_frame">
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<code class="sig-name descname">get_frame</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#compLib.Vision.__Streaming.get_frame" title="Permalink to this definition">¶</a></dt>
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<dd><p>Grab the newest frame from the rtmp stream.</p>
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<dl class="field-list simple">
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<dt class="field-odd">Returns</dt>
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</dd></dl>
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<dl class="py method">
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<dt class="sig sig-object py" id="compLib.Vision.__Streaming.publish_frame">
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<span class="sig-name descname"><span class="pre">publish_frame</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#compLib.Vision.__Streaming.publish_frame" title="Permalink to this definition"></a></dt>
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<dt id="compLib.Vision.__Streaming.publish_frame">
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<code class="sig-name descname">publish_frame</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">image</span></em><span class="sig-paren">)</span><a class="headerlink" href="#compLib.Vision.__Streaming.publish_frame" title="Permalink to this definition">¶</a></dt>
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<dd><p>Publish an opencv frame to the http webserver.</p>
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<dl class="field-list simple">
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<dt class="field-odd">Parameters</dt>
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</dd></dl>
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</section>
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<section id="examples">
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<h2>Examples<a class="headerlink" href="#examples" title="Permalink to this headline"></a></h2>
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<section id="using-the-vision-module">
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<h3>Using the Vision Module<a class="headerlink" href="#using-the-vision-module" title="Permalink to this headline"></a></h3>
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</div>
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<div class="section" id="examples">
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<h2>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h2>
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<div class="section" id="using-the-vision-module">
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<h3>Using the Vision Module<a class="headerlink" href="#using-the-vision-module" title="Permalink to this headline">¶</a></h3>
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<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cv2</span>
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<span class="kn">from</span> <span class="nn">compLib</span> <span class="kn">import</span> <span class="n">Vision</span>
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realtime.</p>
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<p>The output on the website should show whatever your raspberry pi cam records:</p>
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<a class="reference internal image-reference" href="../_images/opencv_http_stream.png"><img alt="Processed frames from opencv" src="../_images/opencv_http_stream.png" style="width: 680px;" /></a>
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</section>
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<section id="chessboard-detection">
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<h3>Chessboard Detection<a class="headerlink" href="#chessboard-detection" title="Permalink to this headline"></a></h3>
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</div>
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<div class="section" id="chessboard-detection">
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<h3>Chessboard Detection<a class="headerlink" href="#chessboard-detection" title="Permalink to this headline">¶</a></h3>
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<p>In this example we process the captured stream of images and want to detect chessboards. Run this example and
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point your raspberry pi camera to a chessboard and it should be detected.</p>
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<p>For testing you can point it at this image:</p>
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<a class="reference internal image-reference" href="../_images/chessboard_detected.jpg"><img alt="Processed frames from opencv" src="../_images/chessboard_detected.jpg" style="width: 680px;" /></a>
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<p>Here is a screenshot of the stream website while viewing the chessboard in this documentation.</p>
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<a class="reference internal image-reference" href="../_images/opencv_processed.png"><img alt="Processed frames from opencv" src="../_images/opencv_processed.png" style="width: 680px;" /></a>
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</section>
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