Nvdspreprocess for non-image tensor inputs (2d pose estimation keypoints) to nvinfer

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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• Hardware Platform (Jetson / GPU) - GPU
• DeepStream Version - 6.0
• JetPack Version (valid for Jetson only) - 4.6
• TensorRT Version - 8.0.1
• NVIDIA GPU Driver Version (valid for GPU only) - 470.129.06
• Issue Type( questions, new requirements, bugs) - questions
• Question - I’m trying to implement temporal 3d human pose estimation pipeline, which consists of 2d pose estimation → postprocessing → 3d pose estimation.

The “postprocessing” part consists of accumulating sequence (multiple frames’ data) of 2d pose estimation keypoints and passing as batch input to the 3d pose estimation model. Given the description of nvinfer plugin, it seems that I can use its Secondary mode or Preprocessed tensor input mode for this purpose, but there are no examples for the same. (I referred to deepstream-3d-action-recognition example pipeline, but ROI inputs are being passed to sgie there)

Moreover, for the preprocessed tensor input mode, it says that only full frame or ROI inputs are supported currently. Can you guide me if this mode can still be used with nvdspreprocess plugin?

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Please use latest DS release DS 6.1. nvdspreprocess is open source plugin. You can modify it based on your requirement of your SGIE.

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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

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