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# How to build COLMAP using Docker
## Requirements
- Host machine with at least one NVIDIA GPU/CUDA support and installed drivers
(to support dense reconstruction).
- Docker (for CUDA support 19.03+).
## Quick Start
1. Check that Docker >=19.03 installed on your host machine:
```bash
docker --version
```
2. Setup the NVIDIA driver and nvidia-toolkit on your host machine:
For Ubuntu host machines: `./setup-ubuntu.sh`
For CentOS host machines: `./setup-centos.sh`
3. Run the *run* script, using the *full local path* to your preferred local
working directory (a folder with your input files/images, etc.):
```bash
./run.sh /path/where/your/working/folder/is
```
This will put you in a directory (inside the Docker container) mounted to
the local path you specified. Now you can run COLMAP binaries on your own
inputs like this:
```bash
colmap automatic_reconstructor --image_path ./images --workspace_path .
```
Alternatively, you can run the *run-gui* script, which will start the graphical user interface of COLMAP:
```bash
./run-gui.sh /path/where/your/working/folder/is
```
## Build from Scratch
After completing steps 1-2, you can build the Docker image from scratch using the **Dockerfile**.
First, update the CUDA and Ubuntu versions in Dockerfile lines 1-2 to match your system, then:
```bash
./build.sh
./run.sh /path/where/your/working/folder/is
```
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