RockChip¶

CVEDIA-RT supports any Rockchip AARCH64 CPU that has a NPU core. This includes RK3562, RK3568, RK3588, RV1106, and others.

Preflight checks¶

OS Requirements¶

Debian 11 or Ubuntu 20

CVEDIA-RT is not supported on android.

librknnrt.so¶

Make sure you have librknnrt.so at your /lib/ folder. Depending on the image you used it may not be available, you can download it from here

To confirm modules been loaded you can:

ldconfig -vp | grep rknnrt

Requirements¶

CVEDIA-RT will work with any Linux distro that can run dockers or with minimum libc6 2.27 on aarch64 and libc6 2.29 on x86 (2.31 for arm and 2.34 for x86 are strongly recommended) natively with deb packages.

CVEDIA-RT works on x86_64, aarch64, armv7a and armhf ISAs.

CVEDIA-RT been tested on Ubuntu 18, 20, 22 and 24 other platforms and systems are not supported / tested.

Ubuntu 24

Ubuntu 24 has issues when running rtstudio natively

Docker install¶

16G disk space
Docker 18.04 or newer

To run on GPU using NVIDIA, you will also need:

CUDA 10.2+
NVIDIA GPU with Compute Capability greater or equal to 5.3 on aarch64 or 6.1 on x86

Check Compute Capability to make sure your gpu is compatible.

If you don't have docker installed

Check install docker guide.

If you don't have NVIDIA Docker installed

Check the official install guide from NVIDIA.

Native install¶

Any Debian-like distro, Ubuntu 20 or newer
~8G disk space
dpkg or similar package manager

To run on GPU using NVIDIA, you will also need:

CUDA toolkit

Check Compute Capability to make sure your gpu is compatible.

Installation¶

Docker¶

By default CVEDIA-RT will run a GUI, that may require some X11 changes, the install.sh script will check if your current settings are compatible and perform changes as needed.

You may need to restart your X11 session after changes are performed.

Extract the .tar.gz file you downloaded: tar -xzvf <filename.tar.gz>
Run install script: sudo ./install.sh

Running with GUI¶

Run ./run.sh to start.

Depending on the devices and platform you're running you may be required to run as sudo or start the docker with privileged mode, this is automatically decided by the startup script.

Running Headless / REST¶

Run ./run.sh --remote to start.

CVEDIA-RT will be accessible via REST API on port 8080

Remote UI¶

As of 2022.11.0 release you can run CVEDIA-RT in remote GUI mode. To run in this mode you don't need to install a window manager nor x11.

Please check Remote UI for more info.

Running options

There's several ways to run CVEDIA-RT, please refeer to Running Options for all available options.

Solutions and persistence¶

When running CVEDIA-RT within docker, changes on solutions are ephemeral, if you want to make your solution changes persist, please check solution persistence.

Native¶

As of 2024.1.0 releases CVEDIA-RT is now shipped thru our own apt repository. This allows you to update automatically or pin a specific version of RT. This works on all systems we support, including jetson and aarch64 distros.

Hard paths

The native install will be placed at a fixed path: /opt/cvedia-rt which will potentially overwrite any files you may have there.

Option 1: Installing using convenience script¶

curl -fsSLo - http://get.cvedia.com | sudo bash
apt install cvedia-rt -y

NX VMS

If you also want to install our NX VMS plugin, after installing mediaserver, run apt install cvedia-rt-nxplugin -y

Option 2: Installing by manually adding the apt repository¶

curl -fsSLo - http://apt.cvedia.com/key.gpg | sudo gpg --dearmour -o /etc/apt/trusted.gpg.d/cvedia.gpg
sudo echo "deb http://apt.cvedia.com cvedia main" > /etc/apt/sources.list.d/cvedia.list
sudo apt update
sudo apt install cvedia-rt -y

LIBC6 older than 2.34

If you're running LIBC6 older than 2.34 you should use the legacy apt pool: sudo echo "deb http://apt.cvedia.com cvedia legacy" > /etc/apt/sources.list.d/cvedia.list

NX VMS

If you also want to install our NX VMS plugin, after installing mediaserver, run apt install cvedia-rt-nxplugin -y

Option 3: Installing using a debian package¶

Download the compatible .deb from https://rt.cvedia.com, then install it:

dpkg -i cvedia-rt_*.deb

NX VMS

If you also want to install our NX VMS plugin, after installing mediaserver, run dpkg -i cvedia-rt-nxplugin*.deb

CVEDIA-RT binaries¶

CVEDIA-RT deb package will add a few binaries to your path (/usr/bin):

rtcmd
rtstudio
rtservice

Uninstalling

You can uninstall using the package manager apt remove cvedia-rt

Running with GUI¶

Just call rtstudio, a window will show up.

Running Headless / REST¶

Run rtstudio --render Remote to start.

CVEDIA-RT will be accessible via REST API on port 8080

Remote UI¶

As of 2022.11.0 release you can run CVEDIA-RT in remote GUI mode. To run in this mode you don't need to install a window manager nor x11.

Please check Remote UI for more info.

Running options

There's several ways to run CVEDIA-RT, please refeer to Running Options for all available options.

Troubleshooting¶

If you're running in GUI mode and CVEDIA-RT crashes with FATAL [..] [glfwui.cpp:68] glfwCreateWindow .., you can try:

On windows: CVEDIA-RT.bat --render DX11
On windows: CVEDIA-RT.bat --render GLFW
On windows: CVEDIA-RT.bat --render SDL
On linux with docker: ./run.sh --gl 0
On linux native: rtstudio --render SDL
On linux native: rtstudio --render GLFW

If none of this options work, you can still run without UI then connect from a different machine using Remote UI:

On windows: CVEDIA-RT.bat --render Remote
On linux with docker: ./run.sh --remote
On linux native: rtstudio --render Remote

On linux CVEDIA-RT might fail to start if your desktop resolution is smaller than 1280x720.

If you don't have a graphical interface or cannot run in this resolution, you can run headless with Remote UI (./run.sh --remote on docker, or rtstudio --render Remote natively)

If you're having issues after the application has started, logs are automatically saved under the log folder. Each session of CVEDIA-RT will create a new log entry in that folder, to submit support requests get the most recent log from that folder.

On linux for startup errors within docker, we recommend running test.sh, this will create a detailed log of system capabilities which can then be used to submit support requests to our team.

For any other questions and inquiries, check the support page.