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# About
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Read the latest version on https://meshroom-manual.readthedocs.io/en/latest/
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download the PDF from https://readthedocs.org/projects/meshroom-manual/downloads/
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**This is documentation is work in progress.**
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See [Project ToDo](https://github.com/alicevision/meshroom-manual/projects) for details.
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# Next update
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+ capturing images for photogrammetry chapters
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+ MR2019.2 updates
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+ improved layout
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+ readthedocs release (including pdf)
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# How to contribute
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- make yourself familiar with ReStructuredText and Sphinx
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We could use some help with:
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- optimizing the formatting for pdf&html
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- checking grammar and spelling, fixing typos
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- anything listed here https://github.com/alicevision/meshroom-manual/projects
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# How to build on windows
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# How to Build
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- install Python 3
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- install a latex package
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- install pip and the rtd theme
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```bash
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pip install -r requirements.txt
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```
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- (install pip)
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-**pip install sphinx**
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- in your cli, navigate to the meshroom\_doc directory
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- type **make html** (this will re-/build the html doc)
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- in your cli, navigate to the `meshroom-manual` directory
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- type `make html` (this will re-/build the html doc)
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For other build methods read the sphinx documentation
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For other build methods read the sphinx documentation.
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# FAQ
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**How to edit and preview Restructured Text?**
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- You can use [Atom](https://atom.io/) with the [RestructuredText Preview Pandoc](https://atom.io/packages/rst-preview-pandoc) Plugin
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-[Typora](https://www.typora.io) is a friendly editor
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-[Visual Studio Code](https://code.visualstudio.com) with the [reStructuredText](https://marketplace.visualstudio.com/items?itemName=lextudio.restructuredtext) extension
This manual is a compilation of the resources found on alicevision.github.io, breadcrumbs of information collected from github issues, other web resources and new content, created for this manual.
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WORK IN PROGRESS!
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(last update 03.06.19)
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You want to help? Missing something?
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This manual is a compilation of the resources found on alicevision.github.io, information collected from github issues, other web resources and new content, created for this manual. This manual is work in progress.
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You are welcome to comment and contribute.
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This document is in “Suggest edits” mode.
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Check out https://github.com/alicevision/meshroom-manual/ for details.
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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All product names, logos, and brands are property of their respective owners. All company, product and service names used in this document are for identification purposes only. Use of these names, logos, and brands does not imply endorsement.
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All product names, logos, and brands are property of their respective owners. All company, product and service names used in this document are for identification purposes only. Use of these names, logos, and brands does not imply endorsement.
Copy file name to clipboardExpand all lines: source/about/meshroom/meshroom.rst
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In 2009, INPT, INRIA and Duran Duboi started a French ANR project to create a model based Camera Tracking solution based on natural features and a new marker design called CCTag.
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In 2015, Simula, INPT and Mikros Image joined their efforts in the EU project `POPART <http://www.popartproject.eu/>`_ to create a Previz system. In 2017, CTU joined the team in the EU project
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`LADIO <http://www.ladioproject.eu/>`_ to create a central hub with structured access to all data generated on set.
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In 2015, Simula, INPT and Mikros Image joined their efforts in the EU project `POPART <http://www.alicevision.org/popart>`_ to create a Previz system. In 2017, CTU joined the team in the EU project
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`LADIO <http://www.alicevision.org/ladio>`_ to create a central hub with structured access to all data generated on set.
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Partners
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--------
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`Quine <http://www.quine.no/>`_ in Oslo, Norway
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See Github authors for the full list of contributors.
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See `AliceVision Contributors <https://github.com/alicevision/AliceVision/blob/develop/CONTRIBUTORS.md>`_ for the full list of contributors.
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme, see `POPART <http://www.popartproject.eu/>`_, Project ID: 644874 and
This project has received funding from the European Union’s Horizon 2020 research and innovation programme, see `POPART <http://www.alicevision.org/popart>`_, Project ID: 644874 and
If you want to run the very latest version of Meshroom or some custom developer version, you need to get the sources.
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Software Environment
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~~~~~~~~~~~~~~~~~~~~
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Meshroom is a Python application and it relies on the `AliceVision <https://github.com/alicevision/AliceVision>`_ framework.
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Python Environment
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++++++++++++++++++
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The following versions of python are required:
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* Windows: Python 3 (>=3.5)
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* Linux / Mac OS X: Python 3 (>=3.5) or Python 2 (>= 2.7)
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.. note::
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*No Python 2.7 support on Windows?*
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Official Python 2.7 binary package is built with Visual Studio 2008, while PySide2/Qt is built using Visual Studio 2015/2017.
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Therefore, in order to avoid mixing MSVC runtime libraries, Qt does not ship PySide2 wheels for Python 2.7 on Windows (as explained `here <https://wiki.qt.io/Qt_for_Python/Considerations#Missing_Windows_.2F_Python_2.7_release>`_).
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Note that for using Meshroom in command line mode only (no UI), PySide2 is not required and Python 2.7 would be fine.
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Get the project
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~~~~~~~~~~~~~~~
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See `INSTALL.md <https://github.com/alicevision/meshroom/blob/develop/INSTALL.md>`_ to setup the project and prerequisites.
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Get the source code and install runtime requirements:
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