https://github.com/gpanders/colmap-docker

Dockerized COLMAP
https://github.com/gpanders/colmap-docker

Last synced: 8 months ago
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Dockerized COLMAP

• Host: GitHub
• URL: https://github.com/gpanders/colmap-docker
• Owner: gpanders
• License: mit
• Created: 2017-06-01T21:19:23.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-05T16:58:20.000Z (over 8 years ago)
• Last Synced: 2025-04-19T18:30:41.923Z (9 months ago)
• Language: Shell
• Size: 2.93 KB
• Stars: 15
• Watchers: 3
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Dockerized COLMAP 

Dockerfile to create a Docker container with the [COLMAP](https://github.com/colmap/colmap) executables.

The container is hosted on [Docker Hub](https://hub.docker.com/r/ganders/colmap/). It is built from a CUDA image, and therefore requires both the [NVIDIA Docker](https://github.com/NVIDIA/nvidia-docker) plugin and a [CUDA supported graphics card](http://www.geforce.com/hardware/technology/cuda/supported-gpus). To use it, simply execute

    nvidia-docker run --rm -v $PROJECT_PATH:/project ganders/colmap automatic_reconstruction --project_path /project --image_path /project/images 

You must mount a volume to the container using the `-v` flag in order to provide input images to COLMAP as well as to access the output. In the example above, the `$PROJECT_PATH` environment variable should be set to point to a directory on your host computer containing your project files.

See the [COLMAP documentation](https://colmap.github.io) for instructions on how to use the COLMAP executables.