Comments (1)
The rendering software currently doesn't use GPU at all, so that is not a factor. It is multithreaded to take advantage of multiple CPU cores, and you will see a benefit up to ~20 CPUs. However, on a system with 20 CPUs it wouldn't use all of them all the time, so clock speed matters too.
I suggest a 16 CPU system with the highest clock speed you can get, the fastest RAM, and the fastest SSD storage.
You will need 16GB RAM minimum, but it is recommended to have 64GB or more.
We have rendered a lot of footage on MacPros with 6 CPU (hyperthreaded to 12 virtual cores), at 3.5Ghz, with 64GB of RAM, and 1TB internal SSDs. Anything above that would be good.
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Related Issues (20)
- Folly and Gooey problem HOT 1
- Which color calibration algorithm? HOT 2
- Isn it should be I0.rows at errorFunction? HOT 5
- Can the rendered be used to stitch other systems such as a cube of GoPros?
- terminate called after throwing an instance of 'std::runtime_error' what(): json mValueType==ObjectVal required HOT 3
- The website is down HOT 5
- what's "grayscale chart "? HOT 1
- Issues running geometric calibration
- Unable to build surround360_render HOT 1
- usage of geometric calibration in NEW SCENE ?
- Unable to run run_all.py on the sample dataset http://surround360.hacktv.xyz/sample/sample_dataset.zip HOT 4
- Custom illuminants other than d65 HOT 1
- Running ./CameraControlUI error
- x24 camera? HOT 1
- The reference papers about the project
- Issue with folly when building surround360_render HOT 5
- Gooey problem
- Anyone ever got this error message "Isochronous transfer has not been started"?
- in generateNovelViewSimpleCvRemap,why imageL use flowRtoL?thanks! HOT 1
- optical flow computation method
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