<liclass="toctree-l4"><aclass="reference internal"href="../../installation/#step-1-check-virtualization-support">Étape 1. Vérifiez si la virtualisation est supportée</a></li>
<liclass="toctree-l4"><aclass="reference internal"href="../../installation/#step-3-check-memory-and-cpu-allocation">Étape 3. Vérifier l’allocation de la mémoire et du processeur</a></li>
<liclass="toctree-l4"><aclass="reference internal"href="../../installation/#id3">Étape 3. Vérifier l’allocation de la mémoire et du processeur</a></li>
<liclass="toctree-l4"><aclass="reference internal"href="../../installation/#step-4-download-and-launch-webodm">Étape 4. Téléchargez et lancez WebODM</a></li>
<liclass="toctree-l4"><aclass="reference internal"href="../../installation/#step-2-check-additional-requirements">Étape 2. Vérifier les exigences supplémentaires</a></li>
<liclass="toctree-l4"><aclass="reference internal"href="../../installation/#step-3-download-and-launch-webodm">Étape 3. Télécharger et lancer WebODM</a></li>
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<liclass="toctree-l2"><aclass="reference internal"href="../../installation/#basic-commands-and-troubleshooting">Commandes de base et dépannage</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../../installation/#running-on-more-than-one-machine">En cours d’exécution sur plus d’une machine</a></li>
<liclass="toctree-l4"><aclass="reference internal"href="../../tutorials/#prep-data-and-project">Prep data and project</a></li>
<liclass="toctree-l4"><aclass="reference internal"href="../../tutorials/#resize-droplet-pull-pin-run-away">Resize droplet, pull pin, run away</a></li>
<liclass="toctree-l4"><aclass="reference internal"href="../../tutorials/#after-it-finishes-assuming-you-survive-that-long">After it finishes (assuming you survive that long)</a></li>
<liclass="toctree-l2"><aclass="reference internal"href="../../tutorials/#using-potree-3d-viewer-module-on-webodm">Using Potree 3D viewer module on WebODM</a><ul>
<liclass="toctree-l3"><aclass="reference internal"href="../boundary/#what-is-boundary-geojson">What is Boundary [GeoJSON]?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../boundary/#when-is-boundary-geojson-appropriate">When is Boundary [GeoJSON] appropriate?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../boundary/#why-would-one-use-boundary-geojson">Why would one use Boundary [GeoJSON]?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../boundary/#how-would-one-create-boundary-geojson">How would one create Boundary [GeoJSON]?</a><ul>
<liclass="toctree-l3"><aclass="reference internal"href="#what-are-camera-lens-models">What Are Camera Lens Models?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="#when-are-manual-selections-appropriate">When are manual selections appropriate?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="#why-would-one-use-a-particular-camera-lens-model">Why would one use a particular Camera Lens Model?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../../map-accuracy/#aspects-impacting-map-accuracy">Aspects affectant la précision de la carte</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../../large/#getting-started-with-distributed-split-merge">Getting Started with Distributed Split-Merge</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../../large/#understanding-the-cluster">Understanding the Cluster</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../../large/#accessing-the-logs">Accessing the Logs</a></li>
<liclass="toctree-l2"><aclass="reference internal"href="../../contributing/#community-forum">Forum de la communauté</a></li>
<liclass="toctree-l2"><aclass="reference internal"href="../../contributing/#reporting-bugs">Signaler des bogues</a><ul>
<liclass="toctree-l3"><aclass="reference internal"href="../../contributing/#template-for-submitting-bug-reports">Modèle de soumission de rapports de bogues</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../../faq/#can-i-process-two-or-more-orthophoto-geotiffs-to-stitch-them-together">Can I process two or more orthophoto GeoTIFFs to stitch them together?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../../faq/#i-want-to-build-a-commercial-application-that-includes-odm-do-i-need-a-commercial-license">I want to build a commercial application that includes ODM. Do I need a commercial license?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../../faq/#are-there-other-licensing-options-aside-from-the-agplv3">Are there other licensing options aside from the AGPLv3?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="../../faq/#your-computer-is-running-out-of-memory-what-can-you-do">Your computer is running out of memory, what can you do?</a></li>
<p><strong>Options:</strong><em>auto | perspective | brown | fisheye | spherical</em></p>
<p>Set a camera projection type. Manually setting a value can help improve geometric undistortion. By default the application tries to determine a lens type from the images metadata. . Default: <codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code></p>
<divclass="line"><codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> : Automatic selection of best camera projection model.</div>
<p>Camera Lens Models are projection/distortion models that OpenSFM uses to correct for the optics of the camera platforms that record our images. These corrections are essential for proper camera/scene modeling, and therefore, proper reconstruction of the data.</p>
<h2>When are manual selections appropriate?<aclass="headerlink"href="#when-are-manual-selections-appropriate"title="Lien permanent vers ce titre"></a></h2>
<p>Manually choosing a Camera Lens Model is currently only recommended in the case of Spherical Cameras (GoPro Fusion, GoPro Max, Insta360, Kodak PixPro, etc.) as these are currently not detected automatically by OpenSFM.</p>
<h2>Why would one use a particular Camera Lens Model?<aclass="headerlink"href="#why-would-one-use-a-particular-camera-lens-model"title="Lien permanent vers ce titre"></a></h2>
<p>In rare cases, OpenSFM may not be able to detect (or retrieve from its Camera database) the correct Camera Lens Model for your particular sensor, in which case you should select the closest appropriate model. When in doubt, try specifying <codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> first.</p>
<p>The following examples are all data taken with a standard Rectilinear Lens. Manual selection of the various Camera Lens Models is demonstrated to show some differences in how this will affect reconstruction.</p>
<h3><codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> : Rectilinear Data<aclass="headerlink"href="#auto-rectilinear-data"title="Lien permanent vers ce titre"></a></h3>
<imgalt="Rectilinear data rendered by ``auto`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127077336-ae79a958-a953-4376-86fd-430d0e5457f2.png"/>
<p><spanclass="caption-text">This Point Cloud shows a proper reconstruction via the <codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> (<codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code>) Camera Lens Model, which is appropriate for this sensor.</span><aclass="headerlink"href="#id2"title="Lien permanent vers cette image"></a></p>
</figcaption>
</figure>
</section>
<sectionid="brown-rectilinear-data">
<h3><codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> : Rectilinear Data<aclass="headerlink"href="#brown-rectilinear-data"title="Lien permanent vers ce titre"></a></h3>
<imgalt="Rectilinear data rendered by ``brown`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127077753-580a174e-7572-4315-8801-224ce097d9fc.png"/>
<p><spanclass="caption-text">As in the prior example, this Point Cloud is reconstructed via the <codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> Camera Lens Model.</span><aclass="headerlink"href="#id3"title="Lien permanent vers cette image"></a></p>
</figcaption>
</figure>
</section>
<sectionid="fisheye-rectilinear-data">
<h3><codeclass="docutils literal notranslate"><spanclass="pre">fisheye</span></code> : Rectilinear Data<aclass="headerlink"href="#fisheye-rectilinear-data"title="Lien permanent vers ce titre"></a></h3>
<imgalt="Rectilinear data rendered by ``fisheye`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127077826-53d459fe-5e4e-4b10-8e70-fbddf775c4f7.png"/>
<p><spanclass="caption-text">In this Point Cloud reconstruction, severe bowling and other artifacts have been introduced via the use of the wrong Camera Lens Model.</span><aclass="headerlink"href="#id4"title="Lien permanent vers cette image"></a></p>
</figcaption>
</figure>
</section>
<sectionid="perspective-rectilinear-data">
<h3><codeclass="docutils literal notranslate"><spanclass="pre">perspective</span></code> : Rectilinear Data<aclass="headerlink"href="#perspective-rectilinear-data"title="Lien permanent vers ce titre"></a></h3>
<imgalt="Rectilinear data rendered by ``perspective`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127077485-699f9e61-72a6-45f2-990f-f5748b6ee99f.png"/>
<p><spanclass="caption-text">This Point Cloud rendered well, very similar to the <codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> and <codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> examples. One may see artifacts in the <codeclass="docutils literal notranslate"><spanclass="pre">perspective</span></code> Camera Lens Model in very large collections, or over very flat/homogenus terrain (agricultural fields). In such cases, forcing <codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> may help.</span><aclass="headerlink"href="#id5"title="Lien permanent vers cette image"></a></p>
</figcaption>
</figure>
</section>
<sectionid="spherical-rectilinear-data">
<h3><codeclass="docutils literal notranslate"><spanclass="pre">spherical</span></code> : Rectilinear Data<aclass="headerlink"href="#spherical-rectilinear-data"title="Lien permanent vers ce titre"></a></h3>
<imgalt="Rectilinear data rendered by ``spherical`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127078960-27e35cbb-a378-4d0d-92e2-42dbfd1edd7c.png"/>
<p><spanclass="caption-text">This Point Cloud failed to reconstruct properly due to the manual selection of the <codeclass="docutils literal notranslate"><spanclass="pre">fisheye</span></code> Camera Lens Model. Similar failures to reconstruct can often indicate the wrong manual selection, or in edge cases, wrong <codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> selection of the Camera Lens Model, and you are advised to try another Model that is more appropriate.</span><aclass="headerlink"href="#id6"title="Lien permanent vers cette image"></a></p>
<p><aclass="reference external"href="https://github.com/opendronemap/docs#how-to-make-your-first-contribution">Learn to edit</a> and help improve <aclass="reference external"href="https://github.com/OpenDroneMap/docs/blob/publish/source/arguments_edit/camera-lens.rst">this page</a>!</p>
