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Original question:

PROCESSOR-SDK-AM62A: Wallpaper change related query

PROCESSOR-SDK-AM62A: Getting the output class in an interval

Sajan Saji
Intellectual 540 points

Part Number: PROCESSOR-SDK-AM62A

Tool/software:

Hello,

How to modify the output frames and implement inference that averages recognized classes across multiple frames or relates them to a time interval.

Best Regards,
Sajan

  • 0
    TI__Mastermind 33160 points

    Hi Sajan,

    I have routed your query to our expert. Please expect a response early next week.

    Also, could you elaborate more on the use-case you are trying to execute. 

    Best Regards,

    Suren

  • 0 in reply to Suren Porwar
    Intellectual 540 points

    Hello Suren,

    Suren Porwar said:

    could you elaborate more on the use-case you are trying to execute. 

    When running the app_edgeai.py file. The system need only process limited frames (Reduction of frame count). And also I don't need the inference at every instant. The class with highest confidence level when checking many frames should appeared in recognized class


    Best Regards,
    Sajan

  • 0 in reply to Sajan Saji
    TI__Genius 17876 points

    Hi Sajan,

    You will need to modify the source code in apps_python/infer_pipe.py.

    See the main function 'pipeline'. This function will pull the input tensor, process a frame with the model, pull the source image, postprocess, and provide an output image back to the gstreamer pipeline. If you look at the gstreamer pipeline, this is all happening between the appsrc and appsink plugins. 

    You can modify this as needed, e.g. add a new member to the local InferPipe class to track across multiple frames.

    BR,
    Reese