Quelltext der Seite Use MATLAB to train on Jetson Nano

Die Verbindung zur Hardware liefert:
<code>obj = jetson('192.168.1.52', 'jetracer', 'jetson'); % JETRACER2</code>
 <source line lang="matlab" style="font-size:small">Checking for CUDA availability on the Target...
Checking for 'nvcc' in the target system path...
Warning: Unable to find 'nvcc' on the system path. Update the '.bashrc' script on the target to set up the required environment
variables. 
> In nvidiaboard/checkForNvcc
  In nvidiaboard/checkAndGetHardwareConfig
  In jetson (line 219)
  In test (line 3) 
Checking for cuDNN library availability on the Target...
Checking for TensorRT library availability on the Target...
Checking for prerequisite libraries is complete.
Gathering hardware details...
Checking for third-party library availability on the Target...
Warning: Unable to find the SDL 1.2 library development tools on the target. 
> In nvidiaboard/checkForSdlLibs
  In nvidiaboard/checkAndGetHardwareConfig
  In jetson (line 219)
  In test (line 3) 
First time use setup ...
Installing v4l-utils ...
Gathering hardware details is complete.
 Board name         : NVIDIA Jetson TX1
 CUDA Version       :  
 cuDNN Version      : 8.2
 TensorRT Version   : 8.2
 GStreamer Version  : 1.14.5
 V4L2 Version       : 1.14.2-1
 SDL Version        :  
 Available Webcams  :  
 Available GPUs     :  
 </source>