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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" />
<link rel="icon" href="_static/favicon.svg"/>
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<link rel="prev" title="COLMAP" href="index.html" />
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<meta name="docsearch:version" content="4.3.0.dev0 | 72f30b1 (2026-10-06)" />
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action="search.html"
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<input type="search"
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=""/>
<img src="_static/colmap-logo-dark.svg" class="logo__image only-dark pst-js-only" alt=""/>
<p class="title logo__title">COLMAP</p>
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<ul class="bd-navbar-elements navbar-nav">
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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="viewer.html">
3D Viewer
</a>
</li>
<li class="nav-item dropdown">
<button class="btn dropdown-toggle nav-item" type="button"
data-bs-toggle="dropdown" aria-expanded="false"
aria-controls="pst-nav-more-links">
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</button>
<ul id="pst-nav-more-links" class="dropdown-menu">
<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>
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Graphical User Interface
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="cli.html">
Command-line Interface
</a>
</li>
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<a class="nav-link dropdown-item nav-internal" href="pycolmap/index.html">
PyCOLMAP
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="faq.html">
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
</a>
</li>
</ul>
</li>
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</li>
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<a href="https://hub.docker.com/r/colmap/colmap" title="Docker Hub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-docker fa-lg" aria-hidden="true"></i><span class="visually-hidden">Docker Hub</span></a>
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<span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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<nav>
<ul class="bd-navbar-elements navbar-nav">
<li class="nav-item current active">
<a class="nav-link nav-internal" href="#">
Installation
</a>
</li>
<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="viewer.html">
3D Viewer
</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>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="cli.html">
Command-line Interface
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="pycolmap/index.html">
PyCOLMAP
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="faq.html">
Frequently Asked Questions
</a>
</li>
<li class="nav-item ">
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Changelog
</a>
</li>
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Contribution
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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 or HIP/ROCm
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>To compile with <strong>HIP / ROCm support</strong> instead of CUDA (for AMD GPUs), install
ROCm following the <a class="reference external" href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/">AMD ROCm installation guide</a> and ensure
the <code class="docutils literal notranslate"><span class="pre">hip</span></code>, <code class="docutils literal notranslate"><span class="pre">hiprand</span></code>, and <code class="docutils literal notranslate"><span class="pre">rocrand</span></code> packages are present (default
location <code class="docutils literal notranslate"><span class="pre">/opt/rocm</span></code>). Then pass the following flags at configure time:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></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">DCUDA_ENABLED</span><span class="o">=</span><span class="n">OFF</span> \
<span class="o">-</span><span class="n">DHIP_ENABLED</span><span class="o">=</span><span class="n">ON</span> \
<span class="o">-</span><span class="n">DCMAKE_HIP_ARCHITECTURES</span><span class="o">=</span><span class="n">gfx90a</span> \
<span class="o">-</span><span class="n">DCMAKE_HIP_COMPILER</span><span class="o">=/</span><span class="n">opt</span><span class="o">/</span><span class="n">rocm</span><span class="o">/</span><span class="n">llvm</span><span class="o">/</span><span class="nb">bin</span><span class="o">/</span><span class="n">clang</span><span class="o">++</span>
</pre></div>
</div>
<p>Set <code class="docutils literal notranslate"><span class="pre">CMAKE_HIP_ARCHITECTURES</span></code> to match the target AMD GPU
(<code class="docutils literal notranslate"><span class="pre">gfx90a</span></code> for MI200/MI250, <code class="docutils literal notranslate"><span class="pre">gfx942</span></code> for MI300, <code class="docutils literal notranslate"><span class="pre">gfx1030</span></code> for RDNA2,
<code class="docutils literal notranslate"><span class="pre">gfx1100</span></code> for RDNA3, etc.; multiple values can be passed as a
semicolon-separated list). <code class="docutils literal notranslate"><span class="pre">CUDA_ENABLED</span></code> and <code class="docutils literal notranslate"><span class="pre">HIP_ENABLED</span></code> are mutually
exclusive. CMake 3.21 or newer is required for the HIP backend. On RDNA3
consumer parts where ROCm only officially supports a subset of architectures,
you may also need <code class="docutils literal notranslate"><span class="pre">HSA_OVERRIDE_GFX_VERSION=11.0.0</span></code> in the runtime
environment. The HIP backend accelerates dense reconstruction
(<code class="docutils literal notranslate"><span class="pre">patch_match_stereo</span></code>) and GPU SIFT feature extraction and matching; see the
changelog for ongoing coverage.</p>
<p>If ROCm is installed through a Python wheel / virtualenv (for example AMD’s
TheRock packaging, which puts a <code class="docutils literal notranslate"><span class="pre">rocm-sdk</span></code> command on the <code class="docutils literal notranslate"><span class="pre">PATH</span></code>), the
install root and target architectures are detected automatically from
<code class="docutils literal notranslate"><span class="pre">rocm-sdk</span> <span class="pre">path</span> <span class="pre">--root</span></code> and <code class="docutils literal notranslate"><span class="pre">rocm-sdk</span> <span class="pre">targets</span></code>, so <code class="docutils literal notranslate"><span class="pre">ROCM_PATH</span></code> and
<code class="docutils literal notranslate"><span class="pre">CMAKE_HIP_ARCHITECTURES</span></code> need not be set by hand. An explicit
<code class="docutils literal notranslate"><span class="pre">-DROCM_PATH</span></code> or a <code class="docutils literal notranslate"><span class="pre">ROCM_PATH</span></code> environment variable still takes
precedence, and CMake’s own architecture autodetection sets
<code class="docutils literal notranslate"><span class="pre">CMAKE_HIP_ARCHITECTURES</span></code> when a target GPU is visible at configure time.
Note that the installed <code class="docutils literal notranslate"><span class="pre">colmap-config.cmake</span></code> records the <code class="docutils literal notranslate"><span class="pre">ROCM_PATH</span></code>
used at build time, so downstream <code class="docutils literal notranslate"><span class="pre">find_package(colmap)</span></code> consumers with
ROCm installed in a different location must pass <code class="docutils literal notranslate"><span class="pre">-DROCM_PATH=...</span></code>
explicitly; the <code class="docutils literal notranslate"><span class="pre">ROCM_PATH</span></code> environment variable is not consulted once
that cache entry exists.</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 uses <code class="docutils literal notranslate"><span class="pre">boost::unordered</span></code> flat/node hash maps for the
performance-critical scene and SfM containers. These are data members of
classes in public headers, so their layout is part of COLMAP’s ABI, and a
mismatch between two COLMAP builds loaded into one process produces no link
error, only memory corruption. There is therefore no build option to swap
them for <code class="docutils literal notranslate"><span class="pre">std::unordered_*</span></code>.</p>
<p><code class="docutils literal notranslate"><span class="pre">boost::unordered_node_map</span></code> requires <strong>Boost >= 1.84</strong>, which is newer than
the apt Boost on Ubuntu 24.04 (1.83) and earlier. Where the available Boost
is new enough it is used as it is and nothing is downloaded. Only where it
is too old does the build download a pinned Boost release (about 100 MB) and
build the libraries COLMAP uses from source, installing them alongside
COLMAP. Only Boost is taken from that copy, so its headers and compiled
libraries always match. Pass <code class="docutils literal notranslate"><span class="pre">-DFETCH_BOOST=OFF</span></code> to require a new enough
system Boost instead and fail at configure time if there is none.</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>