Latest Qt Version for Nvidia TX2 Modules

[elifkantar1997]

Hello all,

I am using Nvidia TX2 custom board in my project. In my project, TX2 performs a graphical user interface which should be designed with Qt. I have installed qt-deafult and qtcreator by using package manager but the installed version is 5.9.5. I could not use the latest updates with this version. I checked the Qt official website but there is no arm64 installer file on offical site. My Jetpack version is 4.6.0. How can I install latest Qt version to my Jetson TX2 machine?
Any help will be appreciated. Thanks in advanced.

[DaneLLL]

Hi,
This would need other users to share experience. Please also refer to some relevant posts:
PySide2 (Qt for python) installation on Jetson Xavier - #5 by Muscle_Oliver
Jetson Nano and Qt5 - #2 by WayneWWW
Pyqt not working on Nano - #4 by coolbot

[elifkantar1997]

Hi @DaneLLL ,

I have followed the instructions explained in the below post.

PySide2 (Qt for python) installation on Jetson Xavier

Hi, I tried to install the whole Qt5 in Jetson TX2 for PySIde2 by using the method that Muscle_Oliver wrote, and seems that PySide2 have been installed in Jetson Tx2. But when I tried to run my code in terminal by using the command “python3 main.py”, I got the following error. qt.qpa.plugin: Could not find the Qt platform plugin “xcb” in “” This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem. Available platfor…

I have downloaded Qt 5.15.2 by using wget link. During the compilation process, I got an storage error. I have got 14 GB free. Is there a way to install Qt 5.15 version without using such large amounts data? I dont need some plugins. May I install Qt without get low memory error.

Thank you.

[elifkantar1997]

I am still waiting your response @DaneLLL .

[DaneLLL]

Hi,
This would need other users to share experience. Both Xavier and TX2 have 32GB emmc. The user has tried it on Xavier. Ideally it should also work on TX2. Probably you can only install system image and give it a try. Not to install CUDA and Tensor RT packages to have more freespace.