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

how to install newer librealsense 2.25? #24

Open
jungladicitta opened this issue Oct 1, 2019 · 5 comments
Open

how to install newer librealsense 2.25? #24

jungladicitta opened this issue Oct 1, 2019 · 5 comments

Comments

@jungladicitta
Copy link

jungladicitta commented Oct 1, 2019

I have TX2 and I just have installed up-to-date JetPack 4.2.2, L4T 32.2.1.
How can I install librealsense 2.25 instead of old 2.13?
what is the procedure? what does mean "Build and apply patched kernel modules"?
Do I need to run getKernelSources.sh from buildJetsonTX2Kernel at first and then patch it and only then install librealsense?
(https://github.com/jetsonhacks/buildJetsonTX2Kernel)

I need newer because I want to use t265 camera.

@Weimmer
Copy link

Weimmer commented Dec 6, 2019

Hi @jungladicitta ,

i get the same problem as you, do you have a solution for it till now?

@jungladicitta
Copy link
Author

@eisenwu as I remember, I have installed it via apt
IntelRealSense/librealsense#4969

realsense-viewer was not working okay with d435 and t265 together
https://support.intelrealsense.com/hc/en-us/community/posts/360037261873-d435-and-t265-together-on-nvidia-jetson-tx2

also, I use ubuntu 16.04 and jetpack 3.3 on my jetson tx2

@Weimmer
Copy link

Weimmer commented Dec 9, 2019

@jungladicitta thanks for answer :)
i use ubuntu 18 on my jetson tx2.
I have installed with this tutorial(https://github.com/IntelRealSense/librealsense/blob/master/doc/distribution_linux.md), how can i know which vision of librealsense am i using?
and when i run the t265 on my jetson tx2 i get the errors:

[ERROR] [1575669433.435019328]: Failed to load nodelet [/camera/realsense2_camera] of type [realsense2_camera/RealSenseNodeFactory] even after refreshing the cache: Could not find library corresponding to plugin realsense2_camera/RealSenseNodeFactory. Make sure the plugin description XML file has the correct name of the library and that the library actually exists.
[ERROR] [1575669433.435131872]: The error before refreshing the cache was: Could not find library corresponding to plugin realsense2_camera/RealSenseNodeFactory. Make sure the plugin description XML file has the correct name of the library and that the library actually exists.
[FATAL] [1575669433.435440256]: Failed to load nodelet '/camera/realsense2_camera` of type `realsense2_camera/RealSenseNodeFactory` to manager `realsense2_camera_manager'
[camera/realsense2_camera-2] process has died [pid 25692, exit code 255, cmd /opt/ros/melodic/lib/nodelet/nodelet load realsense2_camera/RealSenseNodeFactory realsense2_camera_manager __name:=realsense2_camera __log:=/home/robocar/.ros/log/7a58a8f4-1863-11ea-ac4d-00044bc5026c/camera-realsense2_camera-2.log].
log file: /home/robocar/.ros/log/7a58a8f4-1863-11ea-ac4d-00044bc5026c/camera-realsense2_camera-2*.log 

do you have any idea about it?
thanks in advance

@JetsonHacksNano
Copy link

@jungladicitta You can use the RealSense viewer application to determine the version of librealsense you are using.

@JetsonHacksNano
Copy link

I have TX2 and I just have installed up-to-date JetPack 4.2.2, L4T 32.2.1.
How can I install librealsense 2.25 instead of old 2.13?
what is the procedure? what does mean "Build and apply patched kernel modules"?
Do I need to run getKernelSources.sh from buildJetsonTX2Kernel at first and then patch it and only then install librealsense?
(https://github.com/jetsonhacks/buildJetsonTX2Kernel)

I need newer because I want to use t265 camera.

You can use the following repository: https://github.com/jetsonhacks/installRealSenseSDK

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants