processing large datasets of drone imagery in Drone2Map?

[JohnPlunkett]

Putting this out to the community to see if there are any tips or tricks for processing large datasets

We are processing 11GB of  imagery using a dual core i7 laptop with hyperthreading but can’t get it to process the imagery with more than (the equivalent of) 1 core (25%).   We and have configured the processing options > resources to the maximum available 4 CPU threads.

We have the option of moving the processing into the cloud, if anyone can provide any recommended specifications on VM configurations that would be awesome.

*Edit Memory specs and some additional information

16GB RAM 256GB SSD

Using an attached 1TB USB3 drive as the source.  This ran successfully at 100% for a 2GB dataset.

Thanks

John P

[DanPatterson_Retired]

hardware specs ok? chip type is fine, but you don't mention your ram nor ssd drive space

[JohnPlunkett]

16GB RAM 256GB SSD.

We have been using an attached 1TB USB3 drive as the source. This ran successfully at 100% for a 2GB dataset.

[AnthonyRyanEQL]

John,

What is the resolution of the imagery & how much time did it take to process?

I'm using a Win 10 PC with i7-4790 @ 3.6GHz CPU 16Gb RAM with 256Gb SSD drive with 36 x 7Mb 4592x3056pixel 24bit colour jpgs files and this takes approx 21minutes to process into a 3D textured mesh.

Thanks

[JohnPlunkett · Accepted solution]

We ended up moving to a Virtual Machine and had much better success with processing. - Using SSD instead of External HDD certainly assisted with processing data