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This model would take an estimated 32 hours to complete processing. Note: In order to test the CPU - GPU should be disabled. In the Menu Bar, click Workflow > Build Dense Cloud We used the benchmark file provided by Agisoft in order to build a dense cloud model on Ultra High settings. We've put together some helpful benchmarks to between CPU and GPU on Paperspace's P5000. In the GPU section, select or unselect the GPU device.The use of the GPU can be enabled or disabled in the Processing Options: As a rule of thumb, projects with high overlap, high image content and thus with a high number of keypoints benefit more from the speedup. This speed increase depends highly on the project, the number of images, the image size, and the image content. With their GPU Acceleration feature, what would normally take close to days to process can now be done in a couple of hours. If you would like your photogrammetry workflows featured by Paperspace, send us an email to or tweet us including the hashtag #PoweredByPaperspaceĪgisoft Photoscan offers the ability to leverage either your machine's CPU or GPU when processing image datasets.
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