1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
|
# 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:
```
docker --version
```
2. Check that you have an NVIDIA driver installed on your host machine:
```
nvidia-smi
```
3. Setup the nvidia-toolkit on your host machine:
For Ubuntu host machines: `./setup-ubuntu.sh`
For CentOS host machines: `./setup-centos.sh`
4. Run the *run* script, using the *full local path* to your preferred local
working directory (a folder with your input files/images, etc.):
```
./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:
```
colmap automatic_reconstructor --image_path ./images --workspace_path .
```
## Build from Scratch
After completing steps 1-3, you can alternatively build the docker image from
scratch based on the **Dockerfile** (e.g., with your own modifications) using:
```
./build.sh
./run.sh /path/where/your/working/folder/is
```
## Troubleshooting
Install an NVIDIA driver and NVIDIA container runtime:
```
sudo apt install ubuntu-drivers-common
sudo ubuntu-drivers autoinstall
```
If you failed to install the above, check the appropriate NVIDIA driver by yourself and install it:
```
ubuntu-drivers devices
e.g.
sudo apt install nvidia-driver-455
```
|