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<!DOCTYPE html>
<html lang="en" data-content_root="./" data-theme="auto">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<meta property="og:title" content="Installation" />
<meta property="og:type" content="website" />
<meta property="og:url" content="https://colmap.github.io/install.html" />
<meta property="og:site_name" content="COLMAP" />
<meta property="og:description" content="You can either download one of the pre-built binaries or build the source code manually. Pre-built binaries and other resources can be downloaded from https://demuc.de/colmap/. An overview of syste..." />
<meta property="og:image" content="https://colmap.github.io/_static/og-image.png" />
<meta property="og:image:alt" content="COLMAP — Structure-from-Motion & Multi-View Stereo" />
<meta name="description" content="You can either download one of the pre-built binaries or build the source code manually. Pre-built binaries and other resources can be downloaded from https://demuc.de/colmap/. An overview of syste..." />
<meta name="twitter:card" content="summary_large_image" />
<title>Installation — COLMAP</title>
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<link rel="canonical" href="https://colmap.github.io/install.html" />
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<link rel="index" title="Index" href="genindex.html" />
<link rel="search" title="Search" href="search.html" />
<link rel="next" title="Tutorial" href="tutorial.html" />
<link rel="prev" title="COLMAP" href="index.html" />
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action="search.html"
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class="form-control"
name="q"
placeholder="Search the docs ..."
aria-label="Search the docs ..."
autocomplete="off"
autocorrect="off"
autocapitalize="off"
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<a class="navbar-brand logo" href="index.html">
<img src="_static/colmap-logo.svg" class="logo__image only-light" alt=""/>
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<p class="title logo__title">COLMAP</p>
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<a class="nav-link nav-internal" href="#">
Installation
</a>
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<li class="nav-item ">
<a class="nav-link nav-internal" href="tutorial.html">
Tutorial
</a>
</li>
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<a class="nav-link nav-internal" href="concepts.html">
Key Concepts
</a>
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<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="features.html">
Feature Extraction and Matching
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="database.html">
Database Format
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="cameras.html">
Camera Models
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="rigs.html">
Rig Support
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="format.html">
Output Format
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="datasets.html">
Datasets
</a>
</li>
<li class=" ">
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Graphical User Interface
</a>
</li>
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Command-line Interface
</a>
</li>
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PyCOLMAP
</a>
</li>
<li class=" ">
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Frequently Asked Questions
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="changelog.html">
Changelog
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="contribution.html">
Contribution
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="license.html">
License
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="bibliography.html">
Bibliography
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="legacy.html">
Legacy Documentations
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<a class="nav-link nav-internal" href="#">
Installation
</a>
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<li class="nav-item ">
<a class="nav-link nav-internal" href="tutorial.html">
Tutorial
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="concepts.html">
Key Concepts
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="features.html">
Feature Extraction and Matching
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="database.html">
Database Format
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="cameras.html">
Camera Models
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="rigs.html">
Rig Support
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="format.html">
Output Format
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="datasets.html">
Datasets
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="gui.html">
Graphical User Interface
</a>
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<a class="nav-link nav-internal" href="cli.html">
Command-line Interface
</a>
</li>
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<a class="nav-link nav-internal" href="pycolmap/index.html">
PyCOLMAP
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Frequently Asked Questions
</a>
</li>
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Changelog
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License
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Bibliography
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<section id="installation">
<span id="id1"></span><h1>Installation<a class="headerlink" href="#installation" title="Link to this heading">#</a></h1>
<p>You can either download one of the pre-built binaries or build the source code
manually. Pre-built binaries and other resources can be downloaded from
<a class="reference external" href="https://demuc.de/colmap/">https://demuc.de/colmap/</a>.</p>
<p>An overview of system packages for Linux/Unix/BSD distributions are available at
<a class="reference external" href="https://repology.org/metapackage/colmap/versions">https://repology.org/metapackage/colmap/versions</a>. Note that the COLMAP packages
in the default repositories for Linux/Unix/BSD do not come with CUDA support,
which requires a manual build from source, as explained further below.</p>
<p>For Mac users, <a class="reference external" href="https://brew.sh">Homebrew</a> provides a formula for COLMAP with
pre-compiled binaries or the option to build from source. After installing
homebrew, installing COLMAP is as easy as running <code class="docutils literal notranslate"><span class="pre">brew</span> <span class="pre">install</span> <span class="pre">colmap</span></code>.</p>
<p>COLMAP can be used as an independent application through the command-line or
graphical user interface. Alternatively, COLMAP is also built as a reusable
library, i.e., you can include and link COLMAP against your own C++ source code,
as described further below. Furthermore, you can use most of COLMAP’s
functionality with <a class="reference internal" href="pycolmap/index.html#pycolmap-index"><span class="std std-ref">PyCOLMAP</span></a> in Python.</p>
<section id="pre-built-binaries">
<h2>Pre-built Binaries<a class="headerlink" href="#pre-built-binaries" title="Link to this heading">#</a></h2>
<section id="windows">
<h3>Windows<a class="headerlink" href="#windows" title="Link to this heading">#</a></h3>
<p>For convenience, the pre-built binaries for Windows contain both the graphical
and command-line interface executables. To start the COLMAP GUI, you can simply
double-click the <code class="docutils literal notranslate"><span class="pre">COLMAP.bat</span></code> batch script or alternatively run it from the
Windows command shell or Powershell. The command-line interface is also
accessible through this batch script, which automatically sets the necessary
library paths. To list the available COLMAP commands, run <code class="docutils literal notranslate"><span class="pre">COLMAP.bat</span> <span class="pre">-h</span></code> in
the command shell <code class="docutils literal notranslate"><span class="pre">cmd.exe</span></code> or in Powershell. The first time you run COLMAP,
Windows defender may prompt you with a security warning, because the binaries
are not officially signed. The provided COLMAP binaries are automatically built
from GitHub Actions CI machines. If you do not trust them, you can build from
source as described below.</p>
</section>
<section id="docker">
<h3>Docker<a class="headerlink" href="#docker" title="Link to this heading">#</a></h3>
<p>COLMAP provides a pre-built Docker image with CUDA support. For detailed
instructions on how to build and run COLMAP using Docker, please refer to the
<a class="reference external" href="https://github.com/colmap/colmap/tree/main/docker">Docker documentation</a>.</p>
</section>
</section>
<section id="build-from-source">
<h2>Build from Source<a class="headerlink" href="#build-from-source" title="Link to this heading">#</a></h2>
<p>COLMAP builds on all major platforms (Linux, Mac, Windows) with little effort.
First, checkout the latest source code:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">colmap</span><span class="o">/</span><span class="n">colmap</span>
</pre></div>
</div>
<p>Under Linux and Mac, it is generally recommended to follow the installation
instructions below, which use the respective system package managers to install
the required dependencies. Alternatively, the instructions for VCPKG can be used
to compile the required dependencies from scratch on more exotic systems with
limited system packages. The VCPKG approach is also the method of choice under
Windows, compute clusters, or if you do not have root access under Linux or Mac.</p>
<section id="debian-ubuntu">
<h3>Debian/Ubuntu<a class="headerlink" href="#debian-ubuntu" title="Link to this heading">#</a></h3>
<p><em>Recommended dependencies:</em> CUDA (at least version 11.X)</p>
<p>Dependencies from the default Ubuntu repositories:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sudo</span> <span class="n">apt</span><span class="o">-</span><span class="n">get</span> <span class="n">install</span> \
<span class="n">git</span> \
<span class="n">cmake</span> \
<span class="n">ninja</span><span class="o">-</span><span class="n">build</span> \
<span class="n">build</span><span class="o">-</span><span class="n">essential</span> \
<span class="n">libboost</span><span class="o">-</span><span class="n">program</span><span class="o">-</span><span class="n">options</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libboost</span><span class="o">-</span><span class="n">graph</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libboost</span><span class="o">-</span><span class="n">system</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libeigen3</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libopenimageio</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">openimageio</span><span class="o">-</span><span class="n">tools</span> \
<span class="n">libmetis</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libgoogle</span><span class="o">-</span><span class="n">glog</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libgtest</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libgmock</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libsqlite3</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libglew</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">qt6</span><span class="o">-</span><span class="n">base</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libqt6opengl6</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libqt6openglwidgets6</span> \
<span class="n">qt6</span><span class="o">-</span><span class="n">svg</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libcgal</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libceres</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libsuitesparse</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libcurl4</span><span class="o">-</span><span class="n">openssl</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libssl</span><span class="o">-</span><span class="n">dev</span> \
<span class="n">libmkl</span><span class="o">-</span><span class="n">full</span><span class="o">-</span><span class="n">dev</span>
<span class="c1"># Fix issue in Ubuntu's openimageio CMake config.</span>
<span class="c1"># We don't depend on any of openimageio's OpenCV functionality,</span>
<span class="c1"># but it still requires the OpenCV include directory to exist.</span>
<span class="n">sudo</span> <span class="n">mkdir</span> <span class="o">-</span><span class="n">p</span> <span class="o">/</span><span class="n">usr</span><span class="o">/</span><span class="n">include</span><span class="o">/</span><span class="n">opencv4</span>
</pre></div>
</div>
<p>Alternatively, you can also build against Qt 5 instead of Qt 6 using:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">qtbase5</span><span class="o">-</span><span class="n">dev</span> <span class="n">libqt5opengl5</span><span class="o">-</span><span class="n">dev</span> <span class="n">libqt5svg5</span><span class="o">-</span><span class="n">dev</span>
</pre></div>
</div>
<p>To compile with <strong>CUDA support</strong>, also install Ubuntu’s default CUDA package:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sudo</span> <span class="n">apt</span><span class="o">-</span><span class="n">get</span> <span class="n">install</span> <span class="o">-</span><span class="n">y</span> \
<span class="n">nvidia</span><span class="o">-</span><span class="n">cuda</span><span class="o">-</span><span class="n">toolkit</span> \
<span class="n">nvidia</span><span class="o">-</span><span class="n">cuda</span><span class="o">-</span><span class="n">toolkit</span><span class="o">-</span><span class="n">gcc</span>
</pre></div>
</div>
<p>Or, manually install the latest CUDA from NVIDIA’s homepage. During CMake
configuration, specify <code class="docutils literal notranslate"><span class="pre">-DCMAKE_CUDA_ARCHITECTURES=native</span></code>, if you want to run
COLMAP only on your current machine (default), “all”/”all-major” to be able to
distribute to other machines, or a specific CUDA architecture like “75”, etc.</p>
<p>Configure and compile COLMAP:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">colmap</span><span class="o">/</span><span class="n">colmap</span><span class="o">.</span><span class="n">git</span>
<span class="n">cd</span> <span class="n">colmap</span>
<span class="n">mkdir</span> <span class="n">build</span>
<span class="n">cd</span> <span class="n">build</span>
<span class="n">cmake</span> <span class="o">..</span> <span class="o">-</span><span class="n">GNinja</span> <span class="o">-</span><span class="n">DBLA_VENDOR</span><span class="o">=</span><span class="n">Intel10_64lp</span>
<span class="n">ninja</span>
<span class="n">sudo</span> <span class="n">ninja</span> <span class="n">install</span>
</pre></div>
</div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>COLMAP can use <code class="docutils literal notranslate"><span class="pre">boost::unordered</span></code> flat/node hash maps for the
performance-critical scene and SfM containers, selected via
<code class="docutils literal notranslate"><span class="pre">-DCOLMAP_HASH_MAP_BACKEND=BOOST|STD</span></code> (default: auto). Auto selects
<code class="docutils literal notranslate"><span class="pre">BOOST</span></code> when Boost is recent enough (<code class="docutils literal notranslate"><span class="pre">boost::unordered_node_map</span></code> requires
<strong>Boost >= 1.84</strong>) and falls back to <code class="docutils literal notranslate"><span class="pre">STD</span></code> (<code class="docutils literal notranslate"><span class="pre">std::unordered_map</span></code>)
otherwise. Ubuntu’s default Boost is older than 1.84, so apt-based builds use
<code class="docutils literal notranslate"><span class="pre">STD</span></code>; to use the faster <code class="docutils literal notranslate"><span class="pre">BOOST</span></code> backend, build against a newer Boost
(e.g. via vcpkg, which installs <code class="docutils literal notranslate"><span class="pre">boost-unordered</span></code> automatically) or install
Boost >= 1.84 manually. Explicitly requesting <code class="docutils literal notranslate"><span class="pre">-DCOLMAP_HASH_MAP_BACKEND=BOOST</span></code>
with an older Boost is a configuration error.</p>
</div>
<p>Run COLMAP:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">colmap</span> <span class="o">-</span><span class="n">h</span>
<span class="n">colmap</span> <span class="n">gui</span>
</pre></div>
</div>
<p>Under <strong>Ubuntu 22.04</strong>, there is a problem when compiling with Ubuntu’s default
CUDA package and GCC, and you must compile against GCC 10:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sudo</span> <span class="n">apt</span><span class="o">-</span><span class="n">get</span> <span class="n">install</span> <span class="n">gcc</span><span class="o">-</span><span class="mi">10</span> <span class="n">g</span><span class="o">++-</span><span class="mi">10</span>
<span class="n">export</span> <span class="n">CC</span><span class="o">=/</span><span class="n">usr</span><span class="o">/</span><span class="nb">bin</span><span class="o">/</span><span class="n">gcc</span><span class="o">-</span><span class="mi">10</span>
<span class="n">export</span> <span class="n">CXX</span><span class="o">=/</span><span class="n">usr</span><span class="o">/</span><span class="nb">bin</span><span class="o">/</span><span class="n">g</span><span class="o">++-</span><span class="mi">10</span>
<span class="n">export</span> <span class="n">CUDAHOSTCXX</span><span class="o">=/</span><span class="n">usr</span><span class="o">/</span><span class="nb">bin</span><span class="o">/</span><span class="n">g</span><span class="o">++-</span><span class="mi">10</span>
<span class="c1"># ... and then run CMake against COLMAP's sources.</span>
</pre></div>
</div>
<p>Notice that the <code class="docutils literal notranslate"><span class="pre">BLA_VENDOR=Intel10_64lp</span></code> option tells CMake to find Intel’s MKL
implementation of BLAS. If you decide to compile against OpenBLAS instead of
MKL, you must install and select the OpenMP version under Debian/Ubuntu because
of <a class="reference external" href="https://github.com/facebookresearch/faiss/wiki/Troubleshooting#surprising-faiss-openmp-and-openblas-interaction">this issue</a>.</p>
</section>
<section id="fedora">
<h3>Fedora<a class="headerlink" href="#fedora" title="Link to this heading">#</a></h3>
<p><em>Recommended dependencies:</em> CUDA (at least version 11.X)</p>
<p>Dependencies from the default Fedora repositories:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sudo</span> <span class="n">dnf</span> <span class="n">install</span> <span class="o">-</span><span class="n">y</span> \
<span class="n">git</span> \
<span class="n">cmake</span> \
<span class="n">ninja</span><span class="o">-</span><span class="n">build</span> \
<span class="n">gcc</span><span class="o">-</span><span class="n">c</span><span class="o">++</span> \
<span class="n">boost</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">eigen3</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">OpenImageIO</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">OpenImageIO</span><span class="o">-</span><span class="n">utils</span> \
<span class="n">metis</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">glog</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">gtest</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">gmock</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">sqlite</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">glew</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">qt6</span><span class="o">-</span><span class="n">qtbase</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">qt6</span><span class="o">-</span><span class="n">qtsvg</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">CGAL</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">ceres</span><span class="o">-</span><span class="n">solver</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">suitesparse</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">suitesparse</span><span class="o">-</span><span class="n">static</span> \
<span class="n">libcurl</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">openssl</span><span class="o">-</span><span class="n">devel</span> \
<span class="n">openblas</span><span class="o">-</span><span class="n">devel</span>
<span class="c1"># suitesparse-static is required even for a dynamic build, because Fedora's</span>
<span class="c1"># SuiteSparse CMake config references the static targets file regardless of</span>
<span class="c1"># link type. This can be dropped once Fedora ships SuiteSparse >= 7.11.0 with</span>
<span class="c1"># its separated static config.</span>
</pre></div>
</div>
<p>Alternatively, you can also build against Qt 5 instead of Qt 6 using:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">qt5</span><span class="o">-</span><span class="n">qtbase</span><span class="o">-</span><span class="n">devel</span> <span class="n">qt5</span><span class="o">-</span><span class="n">qtsvg</span><span class="o">-</span><span class="n">devel</span>
</pre></div>
</div>
<p>To compile with <strong>CUDA support</strong>, install the CUDA toolkit from NVIDIA’s official
Fedora repository, which (unlike the plain <code class="docutils literal notranslate"><span class="pre">cuda</span></code> meta-package) preserves an
existing NVIDIA driver. Replace <code class="docutils literal notranslate"><span class="pre"><VERSION></span></code> with your Fedora release, e.g.
<code class="docutils literal notranslate"><span class="pre">43</span></code>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sudo</span> <span class="n">dnf</span> <span class="n">config</span><span class="o">-</span><span class="n">manager</span> <span class="n">addrepo</span> <span class="o">--</span><span class="n">from</span><span class="o">-</span><span class="n">repofile</span><span class="o">=</span><span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">developer</span><span class="o">.</span><span class="n">download</span><span class="o">.</span><span class="n">nvidia</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">compute</span><span class="o">/</span><span class="n">cuda</span><span class="o">/</span><span class="n">repos</span><span class="o">/</span><span class="n">fedora</span><span class="o"><</span><span class="n">VERSION</span><span class="o">>/</span><span class="n">x86_64</span><span class="o">/</span><span class="n">cuda</span><span class="o">-</span><span class="n">fedora</span><span class="o"><</span><span class="n">VERSION</span><span class="o">>.</span><span class="n">repo</span>
<span class="n">sudo</span> <span class="n">dnf</span> <span class="n">install</span> <span class="o">-</span><span class="n">y</span> <span class="n">cuda</span><span class="o">-</span><span class="n">toolkit</span>
</pre></div>
</div>
<p>During CMake configuration, specify <code class="docutils literal notranslate"><span class="pre">-DCMAKE_CUDA_ARCHITECTURES=native</span></code>, if you
want to run COLMAP only on your current machine (default), “all”/”all-major” to be
able to distribute to other machines, or a specific CUDA architecture like “89”, etc.</p>
<p>Configure and compile COLMAP:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">colmap</span><span class="o">/</span><span class="n">colmap</span><span class="o">.</span><span class="n">git</span>
<span class="n">cd</span> <span class="n">colmap</span>
<span class="n">mkdir</span> <span class="n">build</span>
<span class="n">cd</span> <span class="n">build</span>
<span class="n">cmake</span> <span class="o">..</span> <span class="o">-</span><span class="n">GNinja</span> <span class="o">-</span><span class="n">DCMAKE_CUDA_ARCHITECTURES</span><span class="o">=</span><span class="n">native</span>
<span class="n">ninja</span>
<span class="n">sudo</span> <span class="n">ninja</span> <span class="n">install</span>
</pre></div>
</div>
<p>Run COLMAP:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">colmap</span> <span class="o">-</span><span class="n">h</span>
<span class="n">colmap</span> <span class="n">gui</span>
</pre></div>
</div>
</section>
<section id="mac">
<h3>Mac<a class="headerlink" href="#mac" title="Link to this heading">#</a></h3>
<p>Dependencies from <a class="reference external" href="https://brew.sh/">Homebrew</a>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">brew</span> <span class="n">install</span> \
<span class="n">cmake</span> \
<span class="n">ninja</span> \
<span class="n">boost</span> \
<span class="n">eigen</span> \
<span class="n">openimageio</span> \
<span class="n">curl</span> \
<span class="n">libomp</span> \
<span class="n">metis</span> \
<span class="n">glog</span> \
<span class="n">googletest</span> \
<span class="n">ceres</span><span class="o">-</span><span class="n">solver</span> \
<span class="n">suitesparse</span> \
<span class="n">qt</span> \
<span class="n">glew</span> \
<span class="n">cgal</span> \
<span class="n">sqlite3</span>
<span class="n">brew</span> <span class="n">link</span> <span class="o">--</span><span class="n">force</span> <span class="n">libomp</span>
</pre></div>
</div>
<p>Configure and compile COLMAP:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">colmap</span><span class="o">/</span><span class="n">colmap</span><span class="o">.</span><span class="n">git</span>
<span class="n">cd</span> <span class="n">colmap</span>
<span class="n">mkdir</span> <span class="n">build</span>
<span class="n">cd</span> <span class="n">build</span>
<span class="n">cmake</span> <span class="o">..</span> <span class="o">-</span><span class="n">GNinja</span>
<span class="n">ninja</span>
<span class="n">sudo</span> <span class="n">ninja</span> <span class="n">install</span>
</pre></div>
</div>
<p>If you have Qt 5 installed on your system as well, you might have to temporarily
link your Qt 5 installation while configuring CMake:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">brew</span> <span class="n">unlink</span> <span class="n">qt</span> <span class="o">&&</span> <span class="n">brew</span> <span class="n">link</span> <span class="o">--</span><span class="n">force</span> <span class="n">qt</span>
<span class="n">cmake</span> <span class="o">...</span>
</pre></div>
</div>
<p>Run COLMAP:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">colmap</span> <span class="o">-</span><span class="n">h</span>
<span class="n">colmap</span> <span class="n">gui</span>
</pre></div>
</div>
</section>
<section id="id2">
<h3>Windows<a class="headerlink" href="#id2" title="Link to this heading">#</a></h3>
<p><em>Recommended dependencies:</em> CUDA (at least version 11.X), Visual Studio 2019 or newer</p>
<p>On Windows, the recommended way is to build COLMAP using VCPKG:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">microsoft</span><span class="o">/</span><span class="n">vcpkg</span>
<span class="n">cd</span> <span class="n">vcpkg</span>
<span class="o">.</span>\<span class="n">bootstrap</span><span class="o">-</span><span class="n">vcpkg</span><span class="o">.</span><span class="n">bat</span>
<span class="o">.</span>\<span class="n">vcpkg</span> <span class="n">install</span> <span class="n">colmap</span><span class="p">[</span><span class="n">cuda</span><span class="p">,</span><span class="n">tests</span><span class="p">]:</span><span class="n">x64</span><span class="o">-</span><span class="n">windows</span>
</pre></div>
</div>
<p>To compile CUDA for multiple compute architectures, please use:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">.</span>\<span class="n">vcpkg</span> <span class="n">install</span> <span class="n">colmap</span><span class="p">[</span><span class="n">cuda</span><span class="o">-</span><span class="n">redist</span><span class="p">]:</span><span class="n">x64</span><span class="o">-</span><span class="n">windows</span>
</pre></div>
</div>
<p>Please refer to the next section for more details.</p>
</section>
<section id="vcpkg">
<h3>VCPKG<a class="headerlink" href="#vcpkg" title="Link to this heading">#</a></h3>
<p>COLMAP ships as part of the VCPKG distribution. This enables to conveniently
build COLMAP and all of its dependencies from scratch under different platforms.
Note that VCPKG requires you to install CUDA manually in the standard way on
your platform. To compile COLMAP using VCPKG, you run:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">microsoft</span><span class="o">/</span><span class="n">vcpkg</span>
<span class="n">cd</span> <span class="n">vcpkg</span>
<span class="o">./</span><span class="n">bootstrap</span><span class="o">-</span><span class="n">vcpkg</span><span class="o">.</span><span class="n">sh</span>
<span class="o">./</span><span class="n">vcpkg</span> <span class="n">install</span> <span class="n">colmap</span><span class="p">:</span><span class="n">x64</span><span class="o">-</span><span class="n">linux</span>
</pre></div>
</div>
<p>VCPKG ships with support for various other platforms (e.g., x64-osx,
x64-windows, etc.). To compile with CUDA support and to build all tests:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">./</span><span class="n">vcpkg</span> <span class="n">install</span> <span class="n">colmap</span><span class="p">[</span><span class="n">cuda</span><span class="p">,</span><span class="n">tests</span><span class="p">]:</span><span class="n">x64</span><span class="o">-</span><span class="n">linux</span>
</pre></div>
</div>
<p>The above commands will build the latest release version of COLMAP. To compile
the latest commit in the dev branch, you can use the following options:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">./</span><span class="n">vcpkg</span> <span class="n">install</span> <span class="n">colmap</span><span class="p">:</span><span class="n">x64</span><span class="o">-</span><span class="n">linux</span> <span class="o">--</span><span class="n">head</span>
</pre></div>
</div>
<p>To modify the source code, you can further add <code class="docutils literal notranslate"><span class="pre">--editable</span> <span class="pre">--no-downloads</span></code>.
Or, if you want to build from another folder and use the dependencies from
vcpkg, first run <code class="docutils literal notranslate"><span class="pre">./vcpkg</span> <span class="pre">integrate</span> <span class="pre">install</span></code> (under Windows use pwsh and
<code class="docutils literal notranslate"><span class="pre">./scripts/shell/enter_vs_dev_shell.ps1</span></code>) and then configure COLMAP as:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">cd</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">colmap</span>
<span class="n">mkdir</span> <span class="n">build</span>
<span class="n">cd</span> <span class="n">build</span>
<span class="n">cmake</span> <span class="o">..</span> <span class="o">-</span><span class="n">DCMAKE_TOOLCHAIN_FILE</span><span class="o">=</span><span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">vcpkg</span><span class="o">/</span><span class="n">scripts</span><span class="o">/</span><span class="n">buildsystems</span><span class="o">/</span><span class="n">vcpkg</span><span class="o">.</span><span class="n">cmake</span> <span class="o">-</span><span class="n">DCMAKE_BUILD_TYPE</span><span class="o">=</span><span class="n">Release</span>
<span class="n">cmake</span> <span class="o">--</span><span class="n">build</span> <span class="o">.</span> <span class="o">--</span><span class="n">config</span> <span class="n">release</span> <span class="o">--</span><span class="n">target</span> <span class="n">colmap</span> <span class="o">--</span><span class="n">parallel</span> <span class="mi">24</span>
</pre></div>
</div>
</section>
<section id="anaconda-mamba">
<h3>Anaconda/Mamba<a class="headerlink" href="#anaconda-mamba" title="Link to this heading">#</a></h3>
<p>Install miniconda and run the following commands. You can replace <code class="docutils literal notranslate"><span class="pre">conda</span></code> with <code class="docutils literal notranslate"><span class="pre">mamba</span></code> for faster package installation:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">conda</span> <span class="n">create</span> <span class="o">-</span><span class="n">n</span> <span class="n">colmap</span> <span class="n">python</span><span class="o">=</span><span class="mf">3.12</span>
<span class="n">conda</span> <span class="n">config</span> <span class="o">--</span><span class="n">add</span> <span class="n">channels</span> <span class="n">conda</span><span class="o">-</span><span class="n">forge</span>
<span class="n">conda</span> <span class="n">config</span> <span class="o">--</span><span class="nb">set</span> <span class="n">channel_priority</span> <span class="n">strict</span>
<span class="n">conda</span> <span class="n">install</span> \
<span class="n">cmake</span> \
<span class="n">ninja</span> \
<span class="n">boost</span> \
<span class="n">ccache</span> \
<span class="n">eigen</span> \
<span class="n">openimageio</span> \
<span class="n">curl</span> \
<span class="n">metis</span> \
<span class="n">glog</span> \
<span class="n">gtest</span> \
<span class="n">ceres</span><span class="o">-</span><span class="n">solver</span> \
<span class="n">suitesparse</span> \
<span class="n">qt</span> \
<span class="n">glew</span> \
<span class="n">sqlite</span> \
<span class="n">cgal</span><span class="o">-</span><span class="n">cpp</span> \
<span class="n">mesa</span><span class="o">-</span><span class="n">libgl</span><span class="o">-</span><span class="n">devel</span><span class="o">-</span><span class="n">cos7</span><span class="o">-</span><span class="n">x86_64</span> \