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<?xml-stylesheet type="text/xsl" href="https://communities.bentley.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>ContextCapture 2023 - Analysis - Extract Features</title><link>https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/64523/contextcapture-2023---analysis---extract-features</link><description /><dc:language>en-US</dc:language><generator>Telligent Community 12</generator><item><title>ContextCapture 2023 - Analysis - Extract Features</title><link>https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/64523/contextcapture-2023---analysis---extract-features</link><pubDate>Wed, 10 May 2023 14:24:54 GMT</pubDate><guid isPermaLink="false">6dad98f5-dbc9-4c4d-a9ba-e9da8dc6aa8e:df11b18b-d2a8-406b-9992-38aaa5997f4b</guid><dc:creator>Arnaud Durante</dc:creator><comments>https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/64523/contextcapture-2023---analysis---extract-features#comments</comments><description>Current Revision posted to ContextCapture | Descartes | Pointools | Orbit Wiki by Arnaud Durante on 5/10/2023 2:24:54 PM&lt;br /&gt;
&lt;p&gt;Extract Features is using detectors that are trained with machine learning, to automatically extract information from your photos, point clouds and meshes.&lt;br /&gt;You can start extracting features from data that is part of your current ContextCapture project (e.g. photos, block, point cloud productions, reality meshes).&lt;br /&gt;Alternatively, you can also Extract Features on reality data that are not within your ContextCapture project. These are more advanced workflows and require learning about ContextScene format.&lt;/p&gt;
&lt;p&gt;Here is a &lt;a href="https://www.youtube.com/watch?v=CI5nGlZjNHs&amp;amp;list=PLMxDUk91MUDTYI8Uc70w1BWqfU9nkpTsJ&amp;amp;index=50&amp;amp;t=2s"&gt;dedicated video&lt;/a&gt; tutorial describing crack detection in 3D-world&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:150%;"&gt;Feature extraction workflow&lt;/span&gt;&lt;br /&gt;The workflow for feature extraction consists in a few steps. In this example, 2D object detection is used but the principle is the same for all Feature extraction types.&lt;br /&gt;&lt;br /&gt;1. Start the feature extraction workflow using the &amp;ldquo;plus&amp;rdquo; icon in your project tree view and click &amp;ldquo;Extract Features&amp;rdquo;&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728538770v1.png" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;2. Select your feature extraction type.&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728556695v2.png" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;3. Select the input data, the detector to be used and additional settings when required.&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728568113v3.png" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;4. Press &amp;quot;Create&amp;rdquo;, this will add a new &amp;ldquo;analysis item&amp;rdquo; in the project tree view&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728580129v4.png" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;5. Go to the settings tab of the Analysis item and adjust settings if needed (e.g. modify region of interest to detect only on a subpart of your data).&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728594749v5.png" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;6. Press the Submit button to initiate the analysis job. Select your output format(s) and press Submit.&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;7. Review the progress in the Overview tab&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728603958v6.png" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;8. Go to the &amp;ldquo;Result&amp;rdquo; tab to visualize your results when processing is complete. Results will show in 2D or 3D views depending of the type of outputs generated.&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728614177v7.png" /&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;
</description></item><item><title>ContextCapture 2023 - Analysis - Extract Features</title><link>https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/64523/contextcapture-2023---analysis---extract-features/revision/2</link><pubDate>Wed, 10 May 2023 14:24:15 GMT</pubDate><guid isPermaLink="false">6dad98f5-dbc9-4c4d-a9ba-e9da8dc6aa8e:df11b18b-d2a8-406b-9992-38aaa5997f4b</guid><dc:creator>Arnaud Durante</dc:creator><comments>https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/64523/contextcapture-2023---analysis---extract-features#comments</comments><description>Revision 2 posted to ContextCapture | Descartes | Pointools | Orbit Wiki by Arnaud Durante on 5/10/2023 2:24:15 PM&lt;br /&gt;
&lt;p&gt;Extract Features is using detectors that are trained with machine learning, to automatically extract information from your photos, point clouds and meshes.&lt;br /&gt;You can start extracting features from data that is part of your current ContextCapture project (e.g. photos, block, point cloud productions, reality meshes).&lt;br /&gt;Alternatively, you can also Extract Features on reality data that are not within your ContextCapture project. These are more advanced workflows and require learning about ContextScene format.&lt;/p&gt;
&lt;p&gt;Here is a &lt;a href="https://www.youtube.com/watch?v=CI5nGlZjNHs&amp;amp;list=PLMxDUk91MUDTYI8Uc70w1BWqfU9nkpTsJ&amp;amp;index=50&amp;amp;t=2s"&gt;dedicated video&lt;/a&gt; tutorial describing crack detection in 3D-world&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:150%;"&gt;Feature extraction workflow&lt;/span&gt;&lt;br /&gt;The workflow for feature extraction consists in a few steps. In this example, 2D object detection is used but the principle is the same for all Feature extraction types.&lt;br /&gt;&lt;br /&gt;1. Start the feature extraction workflow using the &amp;ldquo;plus&amp;rdquo; icon in your project tree view and click &amp;ldquo;Extract Features&amp;rdquo;&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728538770v1.png" alt=" " /&gt;&lt;br /&gt;2. Select your feature extraction type.&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728556695v2.png" alt=" " /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;3. Select the input data, the detector to be used and additional settings when required.&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728568113v3.png" alt=" " /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;4. Press &amp;quot;Create&amp;rdquo;, this will add a new &amp;ldquo;analysis item&amp;rdquo; in the project tree view&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728580129v4.png" alt=" " /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;5. Go to the settings tab of the Analysis item and adjust settings if needed (e.g. modify region of interest to detect only on a subpart of your data).&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728594749v5.png" alt=" " /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;6. Press the Submit button to initiate the analysis job. Select your output format(s) and press Submit.&lt;br /&gt;7. Review the progress in the Overview tab&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728603958v6.png" alt=" " /&gt;&lt;/p&gt;
&lt;p&gt;&lt;br /&gt;8. Go to the &amp;ldquo;Result&amp;rdquo; tab to visualize your results when processing is complete. Results will show in 2D or 3D views depending of the type of outputs generated.&lt;br /&gt;&lt;img style="max-height:240px;max-width:320px;" src="/resized-image/__size/640x480/__key/communityserver-wikis-components-files/00-00-00-02-18/pastedimage1683728614177v7.png" alt=" " /&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;
</description></item><item><title>ContextCapture 2023 - Analysis - Extract Features</title><link>https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/64523/contextcapture-2023---analysis---extract-features/revision/1</link><pubDate>Thu, 09 Feb 2023 09:48:14 GMT</pubDate><guid isPermaLink="false">6dad98f5-dbc9-4c4d-a9ba-e9da8dc6aa8e:df11b18b-d2a8-406b-9992-38aaa5997f4b</guid><dc:creator>Arnaud Durante</dc:creator><comments>https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/64523/contextcapture-2023---analysis---extract-features#comments</comments><description>Revision 1 posted to ContextCapture | Descartes | Pointools | Orbit Wiki by Arnaud Durante on 2/9/2023 9:48:14 AM&lt;br /&gt;
&lt;p&gt;More information to come&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;
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