Big project Dense Point Cloud classification

[Paulo]

Hello all,

I have an aerial project with more than 11 000 (16 MegaPixel) images. I was able to do Photo Alignment and Dense point Cloud generation resulting in a Dense point Cloud with close to 2 000 Million points  (medium quality)...

Now I am doing dense Point Cloud Classification and after 56 hours , it still shows only 10% progress with around estimated 8 hours more to process...

Is this normal? I am running on a Xeon 8 core processor with 64 GB Ram and Nvidia Geforce 980 TX GPU.

My memory is all used up... I will let it go to end but should I try to process dividing project in smaller chunks?

Thanks for any insight!

[Artisan S]

That would speed up things....what you are atempting is a bit on the megalomanic side of seriuously megalomaniac. A 980TI is not a wonder weapon, for doing a job like that you need a Tardis to send you computer back to the 70th :-). 500 12 Mpixel images and a high point cloud took 24 hours on my 32 GByte 6 core 980TI machine. More memory would also be nice. And 2000 million points by 4 is about 8000 million points....every step amplifies the stakes by 4, so a 16 Mpixel photo on ulta-high uses every pixel, on high every 4th pixel (4 million x 11.000 x 3 or 4 bytes = a ^%$load of RAM) and time taken is always a bit (a verry big bit) of a guess. I've seen Agisoft construct a 200 million point cloud from 89 pictures in about 5 hours calculating time (both on GPU and CPU simultaniously) and I have waited overnight on a 4 million pointcloud from setting high using 227 frames from the same camera. Beats me....

But 11.000 pictures is a cardload.....djees!

Greats, Ed.