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<title>Splitting Large Datasets — OpenDroneMap 3.5.3 documentation</title>
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<a href="../" class="icon icon-home"> OpenDroneMap
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3.5.3
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<li class="toctree-l1"><a class="reference internal" href="../installation/">Kuingiza na kuanza kutumia</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="../installation/#quickstart">Quickstart</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../installation/#hardware-recommendations">Sifa za Hardware</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../installation/#installation">Uingizaji</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../installation/#windows">Windows</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#step-1-check-virtualization-support">Jia ya 1. Angalia msaada wa uvumbuzi</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#step-2-install-requirements">Njia ya 2. Ingiza Vinavyohitajika</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#step-3-check-memory-and-cpu-allocation">Njia ya 3. Angalia nafasi na mgao wa CPU</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#step-4-download-webodm">Njia ya 4. Pakua WebODM</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#step-4-launch-webodm">Njia ya 4. Zindua WebODM</a></li>
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</ul>
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</li>
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<li class="toctree-l3"><a class="reference internal" href="../installation/#macos">macOS</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#id1">Jia ya 1. Angalia msaada wa uvumbuzi</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#id2">Njia ya 2. Ingiza Vinavyohitajika</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#id3">Njia ya 3. Angalia nafasi na mgao wa CPU</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#step-4-download-and-launch-webodm">Njia ya 4. Pakua na fungua WebODM</a></li>
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</ul>
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</li>
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<li class="toctree-l3"><a class="reference internal" href="../installation/#linux">Linux</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#step-1-install-requirements">Hatua 1. Mahitaji ya kuingiza</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#step-2-check-additional-requirements">Njia ya 2. Angalia Mahitaji ya Ziada</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../installation/#step-3-download-and-launch-webodm">Njia ya 3. Pakua na zindua WebODM</a></li>
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</ul>
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</li>
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</ul>
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<li class="toctree-l2"><a class="reference internal" href="../installation/#basic-commands-and-troubleshooting">Camand za msingi na utatuzi shida</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../installation/#hello-webodm">Habari, WebODM!</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../installation/#running-on-more-than-one-machine">Kuendesha mashine zaidi ya moja</a></li>
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</ul>
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</li>
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</ul>
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</li>
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</ul>
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<ul class="current">
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<li class="toctree-l1"><a class="reference internal" href="../tutorials/">Somo</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="../tutorials/#creating-high-quality-orthophotos">Tengeneza Orthophotos ya kitaalamu</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../tutorials/#calibrating-the-camera">Kurekebisha Camera</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../tutorials/#creating-digital-elevation-models">Kutengeneza Digital Elevation Model</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../tutorials/#measuring-stockpile-volume">Measuring stockpile volume</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#fieldwork-planning">Fieldwork planning</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#flight-pattern">Flight pattern</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#flight-height">Flight height</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#gcps">GCPs</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#processing-parameters">Processing parameters</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#measuring">Measuring</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#expected-accuracy">Expected accuracy</a></li>
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</ul>
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<li class="toctree-l2"><a class="reference internal" href="../tutorials/#using-docker">Kutumia Docker</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#listing-docker-machines">Kutumia Docker mashine</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#accessing-logs-on-the-instance">Tumia logs kwenye instance</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#command-line-access-to-instances">Matumizy ya camand line kwa mifano</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#cleaning-up-after-docker">Safisha juu baada ya Docker</a></li>
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</ul>
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</li>
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<li class="toctree-l2"><a class="reference internal" href="../tutorials/#using-singularity">Using Singularity</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#downloading-image">Downloading image</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#using-singularity-sif-image">Using Singularity SIF image</a></li>
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</ul>
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</li>
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<li class="toctree-l2"><a class="reference internal" href="../tutorials/#using-odm-from-low-bandwidth-location">Tumia ODM kutoka eneo lenye low-bandwidth</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#what-is-this-and-who-is-it-for">Nini hiki na kwa nani</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#steps">Njia</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#install">Kuingiza</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#prep-data-and-project">Kuandaa data na project</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#resize-droplet-pull-pin-run-away">Kubadilisha droplet, kuvuta pini, pekua</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#after-it-finishes-assuming-you-survive-that-long">Baada kumaliza (kisia utachukua mda mkubwa)</a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toctree-l2"><a class="reference internal" href="../tutorials/#using-potree-3d-viewer-module-on-webodm">Using Potree 3D viewer module on WebODM</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#cameras">Cameras</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#textured-model">Textured model</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#appearance">Appearance</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#point-budget">Point budget</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#field-of-view">Field of view</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#eye-dome-lighting">Eye Dome-lighting</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#background">Background</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#other">Other</a></li>
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</ul>
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</li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#tools">Tools</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#measurement">Measurement</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#clipping">Clipping</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../tutorials/#navigation">Navigation</a></li>
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</ul>
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</li>
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<li class="toctree-l3"><a class="reference internal" href="../tutorials/#scene">Scene</a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="../arguments/">Chagizi na Bendera</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/3d-tiles/">3d-tiles</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/align/">align</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/auto-boundary/">auto-boundary</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/auto-boundary/#what-is-auto-boundary">What Is Auto-Boundary?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/auto-boundary/#when-is-auto-boundary-helpful">When Is Auto-Boundary Helpful?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/auto-boundary/#why-would-one-use-auto-boundary">Why would one use auto-boundary?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/auto-boundary/#example-images">Example Images</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/auto-boundary/#true-auto-boundary">True: <code class="docutils literal notranslate"><span class="pre">--auto-boundary</span></code></a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/auto-boundary/#false-null">False: <code class="docutils literal notranslate"><span class="pre">null</span></code></a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/auto-boundary-distance/">auto-boundary-distance</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/bg-removal/">bg-removal</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/boundary/">boundary</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/boundary/#what-is-boundary-geojson">What is Boundary [GeoJSON]?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/boundary/#when-is-boundary-geojson-appropriate">When is Boundary [GeoJSON] appropriate?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/boundary/#why-would-one-use-boundary-geojson">Why would one use Boundary [GeoJSON]?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/boundary/#how-would-one-create-boundary-geojson">How would one create Boundary [GeoJSON]?</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/boundary/#geojson-io">GeoJSON.io</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/boundary/#qgis">QGIS</a></li>
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</ul>
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</li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/boundary/#example-images">Example Images</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/boundary/#true-boundary-geojson-point-cloud">True: <code class="docutils literal notranslate"><span class="pre">--boundary</span> <span class="pre">[GeoJSON]</span></code> - Point Cloud</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/boundary/#true-boundary-geojson-orthophoto">True: <code class="docutils literal notranslate"><span class="pre">--boundary</span> <span class="pre">[GeoJSON]</span></code> - Orthophoto</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/boundary/#true-boundary-geojson-digital-elevation-model">True: <code class="docutils literal notranslate"><span class="pre">--boundary</span> <span class="pre">[GeoJSON]</span></code> - Digital Elevation Model</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/boundary/#true-boundary-geojson-3d-model-textured-mesh">True: <code class="docutils literal notranslate"><span class="pre">--boundary</span> <span class="pre">[GeoJSON]</span></code> - 3D Model/Textured Mesh</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/boundary/#false-null">False: <code class="docutils literal notranslate"><span class="pre">null</span></code></a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/build-overviews/">build-overviews</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/build-overviews/#what-are-overviews">What Are Overviews?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/build-overviews/#when-are-overviews-appropriate">When are Overviews appropriate?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/build-overviews/#why-would-one-use-overviews">Why would one use Overviews?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/build-overviews/#example-images">Example Images</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/build-overviews/#true-build-overviews">True: <code class="docutils literal notranslate"><span class="pre">--build-overviews</span></code></a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/build-overviews/#false-null">False: <code class="docutils literal notranslate"><span class="pre">null</span></code></a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/camera-lens/">camera-lens</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/camera-lens/#what-are-camera-lens-models">What Are Camera Lens Models?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/camera-lens/#when-are-manual-selections-appropriate">When are manual selections appropriate?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/camera-lens/#why-would-one-use-a-particular-camera-lens-model">Why would one use a particular Camera Lens Model?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/camera-lens/#example-images">Example Images</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/camera-lens/#auto-rectilinear-data"><code class="docutils literal notranslate"><span class="pre">auto</span></code> : Rectilinear Data</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/camera-lens/#brown-rectilinear-data"><code class="docutils literal notranslate"><span class="pre">brown</span></code> : Rectilinear Data</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/camera-lens/#fisheye-rectilinear-data"><code class="docutils literal notranslate"><span class="pre">fisheye</span></code> : Rectilinear Data</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/camera-lens/#perspective-rectilinear-data"><code class="docutils literal notranslate"><span class="pre">perspective</span></code> : Rectilinear Data</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/camera-lens/#spherical-rectilinear-data"><code class="docutils literal notranslate"><span class="pre">spherical</span></code> : Rectilinear Data</a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/cameras/">cameras</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/cog/">cog</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/cog/#what-are-cloud-optimized-geotiffs-cogs">What Are Cloud Optimized GeoTIFFs (COGs)?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/cog/#when-are-cogs-appropriate">When are COGs appropriate?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/cog/#why-would-one-use-cogs">Why would one use COGs?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../arguments/cog/#example-images">Example Images</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/cog/#true-cog">True: <code class="docutils literal notranslate"><span class="pre">--cog</span></code></a></li>
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<li class="toctree-l4"><a class="reference internal" href="../arguments/cog/#false-null">False: <code class="docutils literal notranslate"><span class="pre">null</span></code></a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/copy-to/">copy-to</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/crop/">crop</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/debug/">debug</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/dem-decimation/">dem-decimation</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/dem-euclidean-map/">dem-euclidean-map</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/dem-gapfill-steps/">dem-gapfill-steps</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/dem-resolution/">dem-resolution</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/depthmap-resolution/">depthmap-resolution</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/dsm/">dsm</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/dtm/">dtm</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/end-with/">end-with</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/fast-orthophoto/">fast-orthophoto</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/feature-quality/">feature-quality</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/geo/">geo</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/gltf/">gltf</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/gps-accuracy/">gps-accuracy</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/help/">help</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/max-concurrency/">max-concurrency</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/merge/">merge</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/mesh-octree-depth/">mesh-octree-depth</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/mesh-size/">mesh-size</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/min-num-features/">min-num-features</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/name/">name</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/no-gpu/">no-gpu</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/optimize-disk-space/">optimize-disk-space</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/orthophoto-compression/">orthophoto-compression</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/orthophoto-cutline/">orthophoto-cutline</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/pc-las/">pc-las</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/pc-quality/">pc-quality</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/pc-rectify/">pc-rectify</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/pc-sample/">pc-sample</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/pc-skip-geometric/">pc-skip-geometric</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../arguments/radiometric-calibration/">radiometric-calibration</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../masks/">Using Image Masks</a></li>
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<li class="toctree-l1 current"><a class="current reference internal" href="#">Splitting Large Datasets</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="#calibrate-images">Kurekebisha Picha</a></li>
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<li class="toctree-l2"><a class="reference internal" href="#local-split-merge">Split-Merge ya Ndani</a></li>
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<li class="toctree-l2"><a class="reference internal" href="#distributed-split-merge">Kugawanya Split-Merge</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="#getting-started-with-distributed-split-merge">Kupata kuanza pamoja na kugawanya Split-Merge</a></li>
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<li class="toctree-l3"><a class="reference internal" href="#data-collection-effort-2d-and-2-5d-products">Data collection effort, 2D and 2.5D products</a></li>
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<section id="splitting-large-datasets">
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<h1>Splitting Large Datasets<a class="headerlink" href="#splitting-large-datasets" title="Permalink to this heading"></a></h1>
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<p>Anza na toleo la ODM <code class="docutils literal notranslate"><span class="pre">0.6.0</span></code> unaweza kugawa group kubwa la data linaloweza kudhibitiwa (liitwalo submodels), kutumia pipeline katika kila kundi, na kisha zalisha DEM itakayounganisha, orthophoto na pointcloud. Mchakato utawekwa kama "split-merge."</p>
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<p>Kwa nini unaweza kutumia split-merge pipeline? Ikiwa una idadi ya picha nyingi kwenye dataseti yako, split-merge itasaidia mchakato kuongozwa vizuri katika mashine kubwa (itahitaji nafasi ndogo). Ikiwa una mashine nyingi zilizounganishwa katika mtandao mmoja pia unaweza kuchakata submodel kwa pamoja, ndivyo itakavyoruhu kuongeza mstari mlalo na kuchakata maelfu ya picha kwa urahisi zaidi.</p>
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<p>Split-merge inafanya kazi ndani ya ODM nje ya boxi ikiwa node zinasaidia split-merge, kwa kuruhusu chaguo la <code class="docutils literal notranslate"><span class="pre">--split</span></code> unapotengeneza njia mpya.</p>
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<section id="calibrate-images">
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<h2>Kurekebisha Picha<a class="headerlink" href="#calibrate-images" title="Permalink to this heading"></a></h2>
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<p>Image calibration is recommended (but not required) for large datasets because error propagation due to image distortion could cause a bowl effect on the models. Calibration instructions can be found at <a class="reference external" href="/tutorials/#calibrating-the-camera">Camera Calibration</a>.</p>
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<figure class="align-center">
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<img alt="image of lens distortion effect on bowling of data" src="../_images/msimbasi_bowling.png" />
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</figure>
|
|
<p>Madhara ya kubonyea picha juu ya point cloudi kwa kundi kubwa la picha zaidi ya 13,000+ zilizokusanywa na World Bank Tanzania katika maeneo ya mafuriko Msimbasi Basin, Dar es Salaam, Tanzania.</p>
|
|
</section>
|
|
<section id="local-split-merge">
|
|
<h2>Split-Merge ya Ndani<a class="headerlink" href="#local-split-merge" title="Permalink to this heading"></a></h2>
|
|
<p>Mgawio wa kundi data katika submodel, urahisi na katika kuchakata wepesi zaidi ndani ya mashine moja kwa wepesi! Tumia <code class="docutils literal notranslate"><span class="pre">--split</span></code> na <code class="docutils literal notranslate"><span class="pre">--split-overlap</span></code> kuchagua nambari ya picha inayotakiwa kwa kila submodel na mpishano (katika meters) baina ya submodel mfululizo</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>run<span class="w"> </span>-ti<span class="w"> </span>--rm<span class="w"> </span>-v<span class="w"> </span>/my/project:/datasets/code<span class="w"> </span>opendronemap/odm<span class="w"> </span>--project-path<span class="w"> </span>/datasets<span class="w"> </span>--split<span class="w"> </span><span class="m">400</span><span class="w"> </span>--split-overlap<span class="w"> </span><span class="m">100</span>
|
|
</pre></div>
|
|
</div>
|
|
<p>Ikiwa unajua vipi unaweza kugawa dataseti, unaweza kutoa maelezo na itatumiaka badala ya cluster algorithim.</p>
|
|
<p>Kundi linaweza kupatika kwa kuengeza faili linaloitwa image_groups.txt katika folder kuu la dataseti. Faili lazima liwe na mstari mmoja kwa kila picha. Kila mstari lazima uwe na maneno mawili: La kwanza ni jina la picha na pili ni jina la kundi la picha. Kwa Mfano:</p>
|
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="mf">01.</span><span class="n">jpg</span> <span class="n">A</span>
|
|
<span class="mf">02.</span><span class="n">jpg</span> <span class="n">A</span>
|
|
<span class="mf">03.</span><span class="n">jpg</span> <span class="n">B</span>
|
|
<span class="mf">04.</span><span class="n">jpg</span> <span class="n">B</span>
|
|
<span class="mf">05.</span><span class="n">jpg</span> <span class="n">C</span>
|
|
</pre></div>
|
|
</div>
|
|
<p>utatengeza submodel 3. Hakikisha unapitisha <code class="docutils literal notranslate"><span class="pre">--split-overlap</span> <span class="pre">0</span></code> ikiwa unatengeneza mwenyewe <code class="docutils literal notranslate"><span class="pre">image_groups.txt</span></code> faili.</p>
|
|
</section>
|
|
<section id="distributed-split-merge">
|
|
<h2>Kugawanya Split-Merge<a class="headerlink" href="#distributed-split-merge" title="Permalink to this heading"></a></h2>
|
|
<p>ODM pia inaweza kugawanya wenyewe mchakato wa kila submodel kwa mashine tofauti kupitia <a class="reference external" href="https://github.com/OpenDroneMap/NodeODM">NodeODM</a> nodes, orchestrated via <a class="reference external" href="https://github.com/OpenDroneMap/ClusterODM">ClusterODM</a>.</p>
|
|
<figure class="align-center">
|
|
<img alt="image of lens distortion effect on bowling of data" src="../_images/clusterodm.png" />
|
|
</figure>
|
|
<section id="getting-started-with-distributed-split-merge">
|
|
<h3>Kupata kuanza pamoja na kugawanya Split-Merge<a class="headerlink" href="#getting-started-with-distributed-split-merge" title="Permalink to this heading"></a></h3>
|
|
<p>Njia ya mwanzo ni kustart ClusterODM</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>run<span class="w"> </span>-ti<span class="w"> </span>-p<span class="w"> </span><span class="m">3001</span>:3000<span class="w"> </span>-p<span class="w"> </span><span class="m">8080</span>:8080<span class="w"> </span>opendronemap/clusterodm
|
|
</pre></div>
|
|
</div>
|
|
<p>Kisha kwa kila mashine ambayo unataka kutumia kwa mchakato, zindua NodeODM instance kutumia</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>run<span class="w"> </span>-ti<span class="w"> </span>-p<span class="w"> </span><span class="m">3000</span>:3000<span class="w"> </span>opendronemap/nodeodm
|
|
</pre></div>
|
|
</div>
|
|
<p>Connect kupitia telnet hadi ClusterODM na ongeza IP addresses/port katika mashine inayotumia NodeODM</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>telnet<span class="w"> </span><cluster-odm-ip><span class="w"> </span><span class="m">8080</span>
|
|
Connected<span class="w"> </span>to<span class="w"> </span><cluster-odm-ip>.
|
|
Escape<span class="w"> </span>character<span class="w"> </span>is<span class="w"> </span><span class="s1">'^]'</span>.
|
|
<span class="o">[</span>...<span class="o">]</span>
|
|
<span class="c1"># node add <node-odm-ip-1> 3000</span>
|
|
<span class="c1"># node add <node-odm-ip-2> 3000</span>
|
|
<span class="o">[</span>...<span class="o">]</span>
|
|
<span class="c1"># node list</span>
|
|
<span class="m">1</span><span class="o">)</span><span class="w"> </span><node-odm-ip-1>:3000<span class="w"> </span><span class="o">[</span>online<span class="o">]</span><span class="w"> </span><span class="o">[</span><span class="m">0</span>/2<span class="o">]</span><span class="w"> </span><version<span class="w"> </span><span class="m">1</span>.5.1>
|
|
<span class="m">2</span><span class="o">)</span><span class="w"> </span><node-odm-ip-2>:3000<span class="w"> </span><span class="o">[</span>online<span class="o">]</span><span class="w"> </span><span class="o">[</span><span class="m">0</span>/2<span class="o">]</span><span class="w"> </span><version<span class="w"> </span><span class="m">1</span>.5.1>
|
|
</pre></div>
|
|
</div>
|
|
<p>Make sure you are running toleo <code class="docutils literal notranslate"><span class="pre">1.5.1</span></code> or higher of the NodeODM API.</p>
|
|
<p>Ukifikia hapo, ni rahisi kutumia njia ya <code class="docutils literal notranslate"><span class="pre">--sm-cluster</span></code> kuruhusu kugawanya split-merge</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>run<span class="w"> </span>-ti<span class="w"> </span>--rm<span class="w"> </span>-v<span class="w"> </span>/my/project:/datasets/code<span class="w"> </span>opendronemap/odm<span class="w"> </span>--project-path<span class="w"> </span>/datasets<span class="w"> </span>--split<span class="w"> </span><span class="m">800</span><span class="w"> </span>--split-overlap<span class="w"> </span><span class="m">120</span><span class="w"> </span>--sm-cluster<span class="w"> </span>http://<cluster-odm-ip>:3001
|
|
</pre></div>
|
|
</div>
|
|
</section>
|
|
<section id="understanding-the-cluster">
|
|
<h3>Kufahamu Cluster<a class="headerlink" href="#understanding-the-cluster" title="Permalink to this heading"></a></h3>
|
|
<p>Ukiunganisha kupitia telnet, ni rahisi kufahamu nini kinaendelea ndani ya cluster. Kwa Mfano, tunaweza kutumia camand HELP kutafuta camand zinazopatika</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># HELP</span>
|
|
NODE<span class="w"> </span>ADD<span class="w"> </span><hostname><span class="w"> </span><port><span class="w"> </span><span class="o">[</span>token<span class="o">]</span><span class="w"> </span>-<span class="w"> </span>Add<span class="w"> </span>new<span class="w"> </span>node
|
|
NODE<span class="w"> </span>DEL<span class="w"> </span><node<span class="w"> </span>number><span class="w"> </span>-<span class="w"> </span>Remove<span class="w"> </span>a<span class="w"> </span>node
|
|
NODE<span class="w"> </span>INFO<span class="w"> </span><node<span class="w"> </span>number><span class="w"> </span>-<span class="w"> </span>View<span class="w"> </span>node<span class="w"> </span>info
|
|
NODE<span class="w"> </span>LIST<span class="w"> </span>-<span class="w"> </span>List<span class="w"> </span>nodes
|
|
NODE<span class="w"> </span>LOCK<span class="w"> </span><node<span class="w"> </span>number><span class="w"> </span>-<span class="w"> </span>Stop<span class="w"> </span>forwarding<span class="w"> </span>tasks<span class="w"> </span>to<span class="w"> </span>this<span class="w"> </span>node
|
|
NODE<span class="w"> </span>UNLOCK<span class="w"> </span><node<span class="w"> </span>number><span class="w"> </span>-<span class="w"> </span>Resume<span class="w"> </span>forwarding<span class="w"> </span>tasks<span class="w"> </span>to<span class="w"> </span>this<span class="w"> </span>node
|
|
NODE<span class="w"> </span>UPDATE<span class="w"> </span>-<span class="w"> </span>Update<span class="w"> </span>all<span class="w"> </span>nodes<span class="w"> </span>info
|
|
NODE<span class="w"> </span>BEST<span class="w"> </span><number<span class="w"> </span>of<span class="w"> </span>images><span class="w"> </span>-<span class="w"> </span>Show<span class="w"> </span>best<span class="w"> </span>node<span class="w"> </span><span class="k">for</span><span class="w"> </span>the<span class="w"> </span>number<span class="w"> </span>of<span class="w"> </span>images
|
|
ROUTE<span class="w"> </span>INFO<span class="w"> </span><taskId><span class="w"> </span>-<span class="w"> </span>Find<span class="w"> </span>route<span class="w"> </span>information<span class="w"> </span><span class="k">for</span><span class="w"> </span>task
|
|
ROUTE<span class="w"> </span>LIST<span class="w"> </span><span class="o">[</span>node<span class="w"> </span>number<span class="o">]</span><span class="w"> </span>-<span class="w"> </span>List<span class="w"> </span>routes
|
|
TASK<span class="w"> </span>LIST<span class="w"> </span><span class="o">[</span>node<span class="w"> </span>number<span class="o">]</span><span class="w"> </span>-<span class="w"> </span>List<span class="w"> </span>tasks
|
|
TASK<span class="w"> </span>INFO<span class="w"> </span><taskId><span class="w"> </span>-<span class="w"> </span>View<span class="w"> </span>task<span class="w"> </span>info
|
|
TASK<span class="w"> </span>OUTPUT<span class="w"> </span><taskId><span class="w"> </span><span class="o">[</span>lines<span class="o">]</span><span class="w"> </span>-<span class="w"> </span>View<span class="w"> </span>task<span class="w"> </span>output
|
|
TASK<span class="w"> </span>CANCEL<span class="w"> </span><taskId><span class="w"> </span>-<span class="w"> </span>Cancel<span class="w"> </span>task
|
|
TASK<span class="w"> </span>REMOVE<span class="w"> </span><taskId><span class="w"> </span>-<span class="w"> </span>Remove<span class="w"> </span>task
|
|
ASR<span class="w"> </span>VIEWCMD<span class="w"> </span><number<span class="w"> </span>of<span class="w"> </span>images><span class="w"> </span>-<span class="w"> </span>View<span class="w"> </span><span class="nb">command</span><span class="w"> </span>used<span class="w"> </span>to<span class="w"> </span>create<span class="w"> </span>a<span class="w"> </span>machine
|
|
!!<span class="w"> </span>-<span class="w"> </span>Repeat<span class="w"> </span>last<span class="w"> </span><span class="nb">command</span>
|
|
</pre></div>
|
|
</div>
|
|
<p>Ikiwa, kwa mfano, NodeODM instance haifanyi kazi wakati ClusterODM ikiwashwa, tunaweza kuorodhesha node na tukaangalia kama ifuatavyo</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># NODE LIST</span>
|
|
<span class="m">1</span><span class="o">)</span><span class="w"> </span>localhost:3000<span class="w"> </span><span class="o">[</span>offline<span class="o">]</span><span class="w"> </span><span class="o">[</span><span class="m">0</span>/2<span class="o">]</span><span class="w"> </span><version<span class="w"> </span><span class="m">1</span>.5.3><span class="w"> </span><span class="o">[</span>L<span class="o">]</span>
|
|
</pre></div>
|
|
</div>
|
|
<p>Kulitambua hili, tunaweza kuanza na kuwasha node ya ndani (ikiwa haikuwashwa), na kisha tumia <code class="docutils literal notranslate"><span class="pre">NODE</span> <span class="pre">UPDATE</span></code></p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># NODE UPDATE</span>
|
|
OK
|
|
<span class="c1"># NODE LIST</span>
|
|
<span class="m">1</span><span class="o">)</span><span class="w"> </span>localhost:3000<span class="w"> </span><span class="o">[</span>online<span class="o">]</span><span class="w"> </span><span class="o">[</span><span class="m">0</span>/2<span class="o">]</span><span class="w"> </span><version<span class="w"> </span><span class="m">1</span>.5.3><span class="w"> </span><span class="o">[</span>L<span class="o">]</span>
|
|
</pre></div>
|
|
</div>
|
|
</section>
|
|
<section id="accessing-the-logs">
|
|
<h3>Kutumia Logs<a class="headerlink" href="#accessing-the-logs" title="Permalink to this heading"></a></h3>
|
|
<p>Wakati mchakato unaendelea, pia ni rahisi kuorodhesha kazi, na muonekano wa matokeo ya kazi</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># TASK LIST</span>
|
|
<span class="c1"># TASK OUTPUT <taskId> [lines]</span>
|
|
</pre></div>
|
|
</div>
|
|
</section>
|
|
<section id="autoscaling-clusterodm">
|
|
<h3>Kuongeza kiotomatiki ClusterODM<a class="headerlink" href="#autoscaling-clusterodm" title="Permalink to this heading"></a></h3>
|
|
<p>ClusterODM pia inakusanya njia za kujipima wenyewe platform tofauti, ikiwemo, to date, Amazon na digital Ocean. Hii inawezesha watumiaji kupunguza gharama zitokanazo na always-on instance vile vile kuweza kupima mchakano kutokana na mahitaji.</p>
|
|
<p>Kupanga autoscaling lazima:</p>
|
|
<ul class="simple">
|
|
<li><p>Uwe na toleo linalofanya kazi NodeJS limeingizwa na kisha na ingiza ClusterODM</p></li>
|
|
</ul>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/OpenDroneMap/ClusterODM
|
|
<span class="nb">cd</span><span class="w"> </span>ClusterODM
|
|
npm<span class="w"> </span>install
|
|
</pre></div>
|
|
</div>
|
|
<ul class="simple">
|
|
<li><p>Hakikisha docker-machine imeingizwa.</p></li>
|
|
<li><p>Panga S3-compatible bucket kwa kuhifadhia.</p></li>
|
|
<li><p>Tengeneza configuration faili kwa <a class="reference external" href="https://github.com/OpenDroneMap/ClusterODM/blob/master/docs/digitalocean.md">DigitalOcean</a> au <a class="reference external" href="https://github.com/OpenDroneMap/ClusterODM/blob/master/docs/aws.md">Amazon Web Services</a>.</p></li>
|
|
</ul>
|
|
<p>Kisha unaweza kuwasha ClusterODM pamoja</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>node<span class="w"> </span>index.js<span class="w"> </span>--asr<span class="w"> </span>configuration.json
|
|
</pre></div>
|
|
</div>
|
|
<p>Utaona kitu kinachofanana kwa ujumbe ufuatao ndani ya console</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>info:<span class="w"> </span>ASR:<span class="w"> </span>DigitalOceanAsrProvider
|
|
info:<span class="w"> </span>Can<span class="w"> </span>write<span class="w"> </span>to<span class="w"> </span>S3
|
|
info:<span class="w"> </span>Found<span class="w"> </span>docker-machine<span class="w"> </span>executable
|
|
</pre></div>
|
|
</div>
|
|
<p>kawaida unaweza kuwa na angalau static NodeODM node moja iliyoungana na ClusterODM, hata kama umepanga kutumia autoscaler kwa michakato yote. Ikiwa umepanga auto scaling, huwezi kuwa na zero node na inategemea 100% ya autoscaler. Unahitaji kuambatanisha NodeODM kuwa kama "reference node" au vyenginevyo ClusterODM haitajua jinsi ya kushuhulikia baadhi ya maombi (kwa kupeleka UI, kwa kuruhusu njia za mwanzo kuzunguruka instance, etc.). Kwa malengo haya utaweka "dummy" NodeODM node na kuifunga</p>
|
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>telnet<span class="w"> </span>localhost<span class="w"> </span><span class="m">8080</span>
|
|
><span class="w"> </span>NODE<span class="w"> </span>ADD<span class="w"> </span>localhost<span class="w"> </span><span class="m">3001</span>
|
|
><span class="w"> </span>NODE<span class="w"> </span>LOCK<span class="w"> </span><span class="m">1</span>
|
|
><span class="w"> </span>NODE<span class="w"> </span>LIST
|
|
<span class="m">1</span><span class="o">)</span><span class="w"> </span>localhost:3001<span class="w"> </span><span class="o">[</span>online<span class="o">]</span><span class="w"> </span><span class="o">[</span><span class="m">0</span>/2<span class="o">]</span><span class="w"> </span><version<span class="w"> </span><span class="m">1</span>.5.1><span class="w"> </span><span class="o">[</span>L<span class="o">]</span>
|
|
</pre></div>
|
|
</div>
|
|
<p>Njia hii hii kazi zote zinapelekwa wenyewe kwa autoscaler.</p>
|
|
</section>
|
|
</section>
|
|
<section id="limitations">
|
|
<h2>Mipaka<a class="headerlink" href="#limitations" title="Permalink to this heading"></a></h2>
|
|
<p>Mfumo wa 3D meshes kwa sasa haijaunganishwa kama sehemu ya mpangilio kazi (Ni point cloud pekee, DEM na orthophoto).</p>
|
|
<p>GCPs inasaidiwa kikamilifu, lakini kuna mahitaji angalau point 3 za GCP kwa kila submodel kwa georeferencing kuchukua nafasi. Ikiwa submodel ina unafuu kuliko GCP 3, muungano wa GCP zilobakia + EXIF data zitatumika badala yake (ambayo itakua na usahihi mdogo). Tunapendekeza kutumia <code class="docutils literal notranslate"><span class="pre">image_groups.txt</span></code> faili kupelekea udhibiti sahihi wa mgawanyo wa submodel ukitumia GCP.</p>
|
|
</section>
|
|
<section id="estimating-data-collection-effort">
|
|
<h2>Estimating data collection effort<a class="headerlink" href="#estimating-data-collection-effort" title="Permalink to this heading"></a></h2>
|
|
<p>Larger datasets can be collected with specialized fix wing UAVs, vertical takeoff and landing (VTOL) UAVs, and collected quite efficiently under certain conditions. In many instances, however, we are constrained to doing data collection efforts with commodity quadcopters. In these cases, a common question is the data collection time under ideal conditions with commodity equipment.</p>
|
|
<section id="data-collection-effort-full-3d">
|
|
<h3>Data collection effort, full 3D<a class="headerlink" href="#data-collection-effort-full-3d" title="Permalink to this heading"></a></h3>
|
|
<p>For best in class results with full 3D reconstruction and 5cm resolution, it is feasible to collect 1-2km<sup>2</sup> per person, per day. This requires the following set of flights:</p>
|
|
<ul class="simple">
|
|
<li><p>60% overlap nadir flight</p></li>
|
|
<li><p>70-80% overlap 45-degree gimbal angle cross-grid</p></li>
|
|
</ul>
|
|
<p>The 45-degree cross-grid flight provides the basis for a fully tied together model, while the nadir flights provide the necessary texture for orthophoto texturing. The lower overlap meets the minimum requirement for orthophoto products as facilitated by by feature matching from the much higher overlap cross-grid.</p>
|
|
</section>
|
|
<section id="data-collection-effort-2d-and-2-5d-products">
|
|
<h3>Data collection effort, 2D and 2.5D products<a class="headerlink" href="#data-collection-effort-2d-and-2-5d-products" title="Permalink to this heading"></a></h3>
|
|
<p>For best in class results 2D and 2.5D products and 5cm resolution, it is feasible to collect 2-4km<sup>2</sup> per person, per day. This requires the following set of flights:</p>
|
|
<ul class="simple">
|
|
<li><p>70-80% overlap slightly off-nadir (5-10 degree off nadir)</p></li>
|
|
</ul>
|
|
<p>For more complex buildings and vegetation, aim for closer to 80% overlap. If buildings, vegetation, and terrain changes are not complex, it's quite feasible to use closer to 70% overlap.</p>
|
|
<p>(credit: derived from ongoing conversations with Ivan Gayton, Humanitarian OpenStreetMap Team)</p>
|
|
</section>
|
|
</section>
|
|
<section id="acknowledgments">
|
|
<h2>Tunakiri<a class="headerlink" href="#acknowledgments" title="Permalink to this heading"></a></h2>
|
|
<p>Sifa kubwa kwa Pau na folks kwa Mapillary kushiriki kwema kwa OpenDroneMap kupitia OpenSfM code, ambacho ni kijenzi cha msingi kwa split-merge pipeline. Tunaangalia mbele kwa kusukuma zaidi upeo wa OpenDroneMap na kuangalia vipi dataset kubwa zinaweza kuchakatwa.</p>
|
|
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