Meshroom in Google Colab (cloud)
You don´t have a CUDA GPU or not enough Ressources? Now you can run Meshroom on Google Colab (in CLI mode only, no GUI). The only thing you need is a Google Account. (+ internet connection with a decent upload rate!)
Note: This solution is a user contribution and not officially supported.
Google Colab is a free to use Jupyter notebook, that allows you to use free Tesla K80 GPU (24 GB of GDDR5 memory) it also gives you a total of 12 GB of ram, and you can use it up to 12 hours in row(keep the browser tab open as it will reset sooner otherwise). *
GPU: 1xTesla K80 , having 2496 CUDA cores, compute 3.7, 12GB(11.439GB Usable) GDDR5 VRAM (some sources state Google now uses Nvidia T4s)
CPU: 1xsingle core hyper threaded i.e(1 core, 2 threads) Xeon Processors @2.3Ghz (No Turbo Boost) , 45MB Cache
RAM: ~12.6 GB Available
Disk: ~320 GB Available
For every 12hrs or so Disk, RAM, VRAM, CPU cache etc data that is on our alloted virtual machine will get erased *
Go to https://colab.research.google.com and login.
You can open this ready to use MeshroomColab Notebook. If you have any questions, please go to the MeshroomColab.ipynb GIST Before you can compute your own dataset, you NEED to change under Runtime->Change Runtime the selector to GPU. Otherwise it won't work!
To write your own Colab notebook, read (First steps with Colab)
Here is another Colab notebook by @donmahallem.
Here you can find a short overview of the CLI-Parameters
If you have written a more sophisticated script, we kindly ask you to share it with the community.