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A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
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pierotofy Merge pull request #1112 from pierotofy/camerajson
Fix camera shots in remote split-merge
Latest commit 0145f4c May 23, 2020


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SuperBuild odm_orthophoto float32 support Mar 9, 2020
contrib fix pixelX_ to double, add idgcp_, log_ format Feb 19, 2018
docker Changed architecture of portable docker images to newer nehalem Apr 9, 2019
docs Create Mar 28, 2018
hooks Add Mvs-Texturing Mar 24, 2016
img Cleanup old images, repo change Jan 21, 2020
licenses Remove PMVS module Jul 1, 2018
modules Merge branch 'master' of Mar 18, 2020
opendm Fix camera shots in remote split-merge May 23, 2020
stages Handle split-merge of shots.geojson May 15, 2020
tests Fixed parser options for NodeODM compatibility Mar 18, 2020
.dockerignore Updated dockefiles to best practices ready for multi stage builds Feb 29, 2020
.gitignore Fixed docker settings.yml Mar 24, 2020
.gitmodules Added lidar2dems superbuild module, modified dockerfile,… Jun 20, 2017
CMakeLists.txt Make SLAM build optional Jun 16, 2016
CNAME Create CNAME Jul 31, 2017 Update Apr 14, 2020
Dockerfile Updated dockefiles to best practices ready for multi stage builds Feb 29, 2020
LICENSE Rename LICENCE to LICENSE Feb 19, 2016 Modernized README Apr 19, 2020
VERSION Update Apr 14, 2020 Added requirements.txt, modified pip install cmd Sep 16, 2019 Installation on ubuntu 18.04 Nov 19, 2019
odm_docker_readme.txt Update odm_docker_readme.txt Mar 23, 2018
portable.Dockerfile Updated dockefiles to best practices ready for multi stage builds Feb 29, 2020
requirements.txt PyODM update Mar 26, 2020 OSFM get_submodel_argv refactoring, testing, radiometric calibration … Mar 18, 2020 Use /bin/bash, remove test output Jun 29, 2016
settings.yaml Update settings.yaml Apr 2, 2020 PNG creation, orthophoto flag fixes, refactoring Oct 24, 2019 GCP with OpenSfM, refactoring Jun 20, 2019

ODM Logo

An open source command line toolkit for processing aerial drone imagery. ODM turns simple 2D images into:

  • Classified Point Clouds
  • 3D Textured Models
  • Georeferenced Orthorectified Imagery
  • Georeferenced Digital Elevation Models


The application is available for Windows, Mac and Linux and it works from the command line, making it ideal for power users, scripts and for integration with other software.

If you would rather not type commands in a shell and are looking for a friendly user interface, check out WebODM.


The easiest way to run ODM is via docker. To install docker, see Once you have docker installed and working, you can run ODM by placing some images (JPEGs or TIFFs) in a folder named “images” (for example /datasets/project/images or C:\Users\youruser\datasets\project\images) and simply run from a Terminal / Command Prompt:

# Windows
docker run -ti --rm -v c:/Users/youruser/datasets:/datasets opendronemap/odm --project-path /datasets project

# Mac/Linux
docker run -ti --rm -v /datasets:/datasets opendronemap/odm --project-path /datasets project

You can pass additional parameters by appending them to the command:

docker run -ti --rm -v /datasets:/datasets opendronemap/odm --project-path /datasets project [--additional --parameters --here]

For example, to generate a DSM (--dsm) and increase the orthophoto resolution (--orthophoto-resolution 2) :

docker run -ti --rm -v /datasets:/datasets opendronemap/odm --project-path /datasets project --dsm --orthophoto-resolution 2

Viewing Results

When the process finishes, the results will be organized as follows:

|-- images/
    |-- img-1234.jpg
    |-- ...
|-- opensfm/
    |-- see mapillary/opensfm repository for more info
|-- odm_meshing/
    |-- odm_mesh.ply                    # A 3D mesh
|-- odm_texturing/
    |-- odm_textured_model.obj          # Textured mesh
    |-- odm_textured_model_geo.obj      # Georeferenced textured mesh
|-- odm_georeferencing/
    |-- odm_georeferenced_model.laz     # LAZ format point cloud
|-- odm_orthophoto/
    |-- odm_orthophoto.tif              # Orthophoto GeoTiff

You can use the following free and open source software to open the files generated in ODM:

  • .tif (GeoTIFF): QGIS
  • .laz (Compressed LAS): CloudCompare
  • .obj (Wavefront OBJ), .ply (Stanford Triangle Format): MeshLab

Note! Opening the .tif files generated by ODM in programs such as Photoshop or GIMP might not work (they are GeoTIFFs, not plain TIFFs). Use QGIS instead.


ODM can be made accessible from a network via NodeODM.


See for tutorials and more guides.


We have a vibrant community forum. You can search it for issues you might be having with ODM and you can post questions there. We encourage users of ODM to partecipate in the forum and to engage with fellow drone mapping users.

Native Install (Ubuntu 16.04)

You can run ODM natively on Ubuntu 16.04 LTS (although we don't recommend it):

  1. Download the source from here
  2. Run bash install
  3. Download a sample dataset from here (about 550MB) and extract it in /datasets/aukerman
  4. Run ./ --project-path /datasets odm_data_aukerman

Updating a native installation

When updating to a newer version of ODM, it is recommended that you run

bash reinstall

to ensure all the dependent packages and modules get updated.

Build From Source

If you want to rebuild your own docker image (if you have changed the source code, for example), from the ODM folder you can type:

docker build -t my_odm_image --no-cache .

When building your own Docker image, if image size is of importance to you, you should use the --squash flag, like so:

docker build --squash -t my_odm_image .

This will clean up intermediate steps in the Docker build process, resulting in a significantly smaller image (about half the size).

Experimental flags need to be enabled in Docker to use the --squash flag. To enable this, insert the following into the file /etc/docker/daemon.json:

   "experimental": true

After this, you must restart docker.


Help improve our software! We welcome contributions from everyone, whether to add new features, improve speed, fix existing bugs or add support for more cameras. Check our code of conduct, the contributing guidelines and how decisions are made.

For Linux users, the easiest way to modify the software is to make sure docker is installed, clone the repository and then run from a shell:

$ DATA=/path/to/datasets ./

Where /path/to/datasets is a directory where you can place test datasets (it can also point to an empty directory if you don't have test datasets).

You can now make changes to the ODM source. When you are ready to test the changes you can simply invoke:

(odmdev) [user:/code] master+* ± ./ --project-path /datasets mydataset

If you have questions, join the developer's chat at

  1. Try to keep commits clean and simple
  2. Submit a pull request with detailed changes and test results
  3. Have fun!
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