Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Cuda for Jeston TX2 #1866

merged 16 commits into from Jun 21, 2018


Copy link

commented Jun 11, 2018

Initial CUDA support for conversions and pointcloud generation.

Performance improvement:

As tested on the Jetson TX2:

Description Resoultion fps No Cuda, avg. (ms) With Cuda, avg. (ms)
YUY2 into RGB8 1920x1080 30 30 - 32 5-7
YUY2 into RGBA8 1920x1080 30 34 7.5
YUY2 into BGR8 1920x1080 30 35 5 - 7
YUY2 into BGRA8 1920x1080 30 37 7 - 10
YUY2 into Y16 1920x1080 30 10 5 - 8
Splitting Y8I to Y8, Y8 1280x800 30 9 - 10 3 - 5
Splitting Y12 to Y16, Y16 1280x800 25 22.9 5 - 7
Pointcloud (deproject depth) 640x480 30 8 - 9 3 - 5

In order to activate GPU full power run: sudo ./


Related issue: #1861

@dorodnic dorodnic added the cuda label Jun 11, 2018


This comment has been minimized.

Copy link

commented Jun 18, 2018

Will it be possible to "BUILD_WITH_CUDE" on a PC with Nvidia card (i.e not on a Jetson)?

@AnnaRomanov AnnaRomanov force-pushed the AnnaRomanov:cuda branch from dbdd781 to d0babd9 Jun 20, 2018

@ev-mp ev-mp merged commit 4c8aa38 into IntelRealSense:development Jun 21, 2018

2 checks passed

continuous-integration/appveyor/pr AppVeyor build succeeded
continuous-integration/travis-ci/pr The Travis CI build passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
None yet
5 participants
You can’t perform that action at this time.