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 on is via docker. To install docker, see docs.docker.com. Once you have docker installed and working, you can run ODM by placing some images (JPEGs or TIFFs) in a folder named βimagesβ (for example C:\Users\youruser\datasets\project\images
or /home/youruser/datasets/project/images
) and simply run from a Command Prompt / Terminal:
# Windows
docker run -ti --rm -v c:/Users/youruser/datasets:/datasets opendronemap/odm --project-path /datasets project
# Mac/Linux
docker run -ti --rm -v /home/youruser/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
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 http:https://docs.opendronemap.org 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 participate in the forum and to engage with fellow drone mapping users.
ODM can be installed natively on Windows. Just download the latest setup from the releases page. After opening the ODM Console you can process datasets by typing:
run C:\Users\youruser\datasets\project [--additional --parameters --here]
ODM is now available as a Snap Package from the Snap Store. To install you may use the Snap Store (available itself as a Snap Package) or the command line:
sudo snap install --edge opendronemap
To run, you will need a terminal window into which you can type:
opendronemap
# or
snap run opendronemap
# or
/snap/bin/opendronemap
Snap packages will be kept up-to-date automatically, so you don't need to update ODM manually.
ODM has support for doing SIFT feature extraction on a GPU, which is about 2x faster than the CPU on a typical consumer laptop. To use this feature, you need to use the opendronemap/odm:gpu
docker image instead of opendronemap/odm
and you need to pass the --gpus all
flag:
docker run -ti --rm -v c:/Users/youruser/datasets:/datasets --gpus all opendronemap/odm:gpu --project-path /datasets project
When you run ODM, if the GPU is recognized, in the first few lines of output you should see:
[INFO] Writing exif overrides
[INFO] Maximum photo dimensions: 4000px
[INFO] Found GPU device: Intel(R) OpenCL HD Graphics
[INFO] Using GPU for extracting SIFT features
The SIFT GPU implementation is CUDA-based, so should work with most NVIDIA graphics cards of the GTX 9xx Generation or newer.
If you have an NVIDIA card, you can test that docker is recognizing the GPU by running:
docker run --rm --gpus all nvidia/cuda:10.0-base nvidia-smi
If you see an output that looks like this:
Fri Jul 24 18:51:55 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.82 Driver Version: 440.82 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
You're in good shape!
See https://github.com/NVIDIA/nvidia-docker and https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker for information on docker/NVIDIA setup.
Note: This requires that you have installed WSL already by following the instructions on Microsoft's Website.
You can run ODM via WSL or WSL2 by downloading the rootfs.tar.gz
file from the releases page on GitHub. Once you have the file saved to your Downloads
folder in Windows, open a PowerShell or CMD window by right-clicking the Flag Menu (bottom left by default) and selecting "Windows PowerShell", or alternatively by using the Windows Terminal from the Windows Store.
Inside a PowerShell window, or Windows Terminal running PowerShell, type the following:
# PowerShell
wsl.exe --import ODM $env:APPDATA\ODM C:\path\to\your\Downloads\rootfs.tar.gz
Alternatively if you're using CMD.exe
or the CMD
support in Windows Terminal type:
# CMD
wsl.exe --import ODM %APPDATA%\ODM C:\path\to\your\Downloads\rootfs.tar.gz
In either case, make sure you replace C:\path\to\your\Downloads\rootfs.tar.gz
with the actual path to your rootfs.tar.gz
file.
This will save a new Hard Disk image to your Windows AppData
folder at C:\Users\username\AppData\roaming\ODM
(where username
is your Username in Windows), and will set-up a new WSL "distro" called ODM
.
You may start the ODM distro by using the relevant option in the Windows Terminal (from the Windows Store) or by executing wsl.exe -d ODM
in a PowerShell or CMD window.
ODM is installed to the distro's /code
directory. You may execute it with:
/code/run.sh
The easiest way to update the installation of ODM is to download the new rootfs.tar.gz
file and import it as another distro. You may then unregister the original instance the same way you delete ODM from WSL (see next heading).
wsl.exe --unregister ODM
Finally you'll want to delete the files by using your Windows File Manager (Explorer) to navigate to %APPDATA%
, find the ODM
directory, and delete it by dragging it to the recycle bin. To permanently delete it empty the recycle bin.
If you have installed to a different directory by changing the --import
command you ran to install you must use that directory name to delete the correct files. This is likely the case if you have multiple ODM installations or are updating an already-installed installation.
You can run ODM natively on Ubuntu 21.04 (although we don't recommend it):
git clone https://github.com/OpenDroneMap/ODM
cd ODM
bash configure.sh install
You can then process datasets with ./run.sh /datasets/odm_data_aukerman
You can run ODM natively on Intel/ARM MacOS.
First install:
- Xcode 13 (not 14, there's currently a bug)
- Homebrew
Then Run:
git clone https://github.com/OpenDroneMap/ODM
cd ODM
bash configure_macos.sh install
You can then process datasets with ./run.sh /datasets/odm_data_aukerman
This could be improved in the future. Helps us create a Homebrew formula.
When updating to a newer version of native ODM, it is recommended that you run:
bash configure.sh reinstall
to ensure all the dependent packages and modules get updated.
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.
Starting from version 3.0.4, ODM can automatically extract images from video files (.mp4, .mov, .lrv, .ts). Just place one or more video files into the images
folder and run the program as usual. Subtitles files (.srt) with GPS information are also supported. Place .srt files in the images
folder, making sure that the filenames match. For example, my_video.mp4
==> my_video.srt
(case-sensitive).
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 ./start-dev-env.sh
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).
Run configure to set up the required third party libraries:
(odmdev) [user:/code] master+* Β± bash configure.sh reinstall
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+* Β± ./run.sh --project-path /datasets mydataset
docker stop odmdev
change your_username to your username
docker start odmdev
docker exec -ti odmdev bash
su your_username
If you have questions, join the developer's chat at https://community.opendronemap.org/c/developers-chat/21
- Try to keep commits clean and simple
- Submit a pull request with detailed changes and test results
- Have fun!
The dev environment makes use of opendronemap/nodeodm
by default. You may want to run
docker pull opendronemap/nodeodm
before running ./start-dev-env.sh
to avoid using an old cached version.
In order to make a clean build, remove ~/.odm-dev-home
and ODM/.setupdevenv
.
ODM makes use of several libraries and other awesome open source projects to perform its tasks. Among them we'd like to highlight:
OpenDroneMap Authors ODM - A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. OpenDroneMap/ODM GitHub Page 2020; https://github.com/OpenDroneMap/ODM