Optical Flow Support on T1000

Accelerated Computing Intelligent Video Analytics DeepStream SDK
,
1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) T1000
• DeepStream Version 5.2
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.4
• NVIDIA GPU Driver Version (valid for GPU only) 550
• Issue Type( questions, new requirements, bugs) bugs
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing) gst with optical flow
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

Is T1000 a valid Turing GPU ? When I test my gst pipeline, it yields errors about the optical flow. After I remove the element of optical flow, everything works.

Then when we check T1000, it seems a turning generation of Turing. I wonder whether it is something that I am doing wrong or T1000 just has no support on optical flow?

0:00:14.369173334    26      0x25ddf60 WARN                    nvof gstnvof.cpp:871:gst_ds_optical_flow_transform_ip:<XXXX> Failed to create OpticalFlow context
0:00:14.369217441    26      0x25ddf60 WARN                 nvinfer gstnvinfer.cpp:2300:gst_nvinfer_output_loop:<XXXX> error: Internal data stream error.
0:00:14.369224729    26      0x25ddf60 WARN                 nvinfer gstnvinfer.cpp:2300:gst_nvinfer_output_loop:<XXXXX> error: streaming stopped, reason error (-5)

Error: A batch of multiple frames received from the same source.
Set sync-inputs property of streammux to TRUE.
Error: A batch of multiple frames received from the same source.
Set sync-inputs property of streammux to TRUE.
Error: A batch of multiple frames received from the same source.
Set sync-inputs property of streammux to TRUE.
Error: A batch of multiple frames received from the same source.
Set sync-inputs property of streammux to TRUE.
Error: A batch of multiple frames received from the same source.
Set sync-inputs property of streammux to TRUE.
3

There is no DeepStream 5.2 version exists. Can you provide correct information for the version and the dependencies?

How did you get the error? Which app are you using? Do you run the app in the host machine or inside the DeepStream docker?

4

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

5

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.