OpenDroneMap (ODM)
- Software
- Drones and boats
- Tool
A command-line toolkit that turns drone photos into point clouds, 3D textured models, orthophotos and elevation models. Runs on Windows, Mac and Linux.
Made by OpenDroneMap.
Source on GitHub: github.com/OpenDroneMap/ODM (opens in a new tab). Facts read at commit 77439b1 (opens in a new tab).
Licenses
- Code
- AGPL-3.0-only (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (AGPL-3.0-only) at commit 77439b1 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
Copyleft: Modified source must be published, also when it runs as a service.
What it does
- Turns 2D aerial drone images into classified point clouds, 3D textured models, georeferenced orthophotos and georeferenced digital elevation models.
- Runs from the command line, suited to scripts and integration with other software; a desktop interface, OpenDroneMap Desktop, is also available.
- The easiest way to run it is via Docker, placing images in an images folder and passing parameters such as --dsm.
- Results are written to folders such as odm_meshing, odm_texturing, odm_georeferencing and odm_orthophoto.
- Can be made accessible over a network through NodeODM.
- Optional GPU acceleration for SIFT feature extraction, about 2x faster than CPU on a typical consumer laptop, using a dedicated GPU Docker image.
Written by Robotheca from the project's README (opens in a new tab) at commit 77439b1.
Getting started
- Difficulty
- Intermediate
- Hardware it needs, as the project states it
- Runs on Windows, Mac and Linux; Docker is the easiest route. GPU acceleration needs a CUDA-based NVIDIA card of the GTX 9xx generation or newer, with Docker's NVIDIA container support.
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 15 Sept 2026 on master
- Latest release
- 3.6.2 (12 Aug 2026)
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.