I just got a new tower for processing Pix4d and it has a GeForce GTX 1080Ti 11gb. The Nvidia control panel seems to be setup a little different then in the support article below. I dont have the option to set the program settings for the card to “high performance” or “game development” mode.
@Kevin, I recommend that you stick with Adam’s advice. He has a solid understanding of his processing hardware and its’ compatibility with Pix4D Desktop.
@Adam I used several of your posts to order my new tower and from the just week of using my new setup, I am seeing a dramatic drop in processing times. Thanks for the research.
@kevin winslow I’ am also planning on getting a new computer. What is the rest of your computer configuration? What are your usual and biggest project size (pictures) you ran on pix4d.
I ordered a new Alienware Area-51 R5. I had to order a dell product because of corporate.
Intel i9 7980xe (18core)
GTX 1080ti 11gb
64GB 2933mz ram
1TB M.2 PCI SSD
1TB sata SSD
I did a 2,000 photo project last week no problem. I have not been paying to close attention to times as I start them at the end of the day when crews get back in the office. I did a 120 photo project in about 30m when I first got the tower just to test.
I’m running my largest project ever on it right now, to soon to tell how it will turn out but step 1 just finished. 4300 photos from a phantom 4 pro 20mp images.
I found the 2 links below super helpful when choosing specs. I’m not sure who to thanks on the forum for doing all that A/B testing but it was very helpful.
My doubt is between taking I9 7900X (10core) and GTX 1080ti 11gb or I9 7920X (or I9 7940X) and GTX 1070ti.
As I am having some projects up to 7000 pictures I was leaning more on the first combination with better graphic card, as I don’t want to have choppy workflow in point cloud editing.
Your goal needs to be to rarely edit the point cloud but every piece of hardware is important at different steps.
Always get the most VRAM to handle the highest MP pictures and system RAM to handle project total gigapixels. The point cloud quality will also vary on the system RAM so great care has to be used.
I’m using rayCloud for drawing polylines, classifying points… sometimes you have to clean the noise near building edges to get optimal result for high resolution orthomosaic, there are many reasons to use rayCloud.
These cookies are necessary for the website to function and cannot be switched off in our systems.
They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences,
logging in, or filling in forms. These cookies do not store any personally identifiable information.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site.
They help us to know which pages are the most and least popular and see how visitors move around the site.
All information these cookies collect is aggregated and therefore anonymous.
If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies may be set through our site by our advertising partner (Google).
They may be used by Google to build a profile of your interests and show you relevant adverts on other sites.
They do not directly store personal information but are based on uniquely identifying your browser and internet device.
If you do not allow these cookies, you will experience less targeted advertising.