How to get frame (get_converted_mat()) in gst-dsexample from GPU only

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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1

• Hardware Platform Nvidia Tesla T4
• DeepStream Version 5.1

• TensorRT Version 7.2.2.3
• NVIDIA GPU Driver Version (valid for GPU only) 460.32…03
• Issue Type( questions, new requirements, bugs) question

Hi, in gst-dsexample, i need to get frames for another process.
I already used get_converted_mat API for that but that uses GPU->CPU data transfer and hence for multiple frames, process gets slow.

How can i update get_converted_mat API to get the frame from GPU buffer itself?

Thanks.

3

It depends on how you allocate the dst buffer memory. Can you share you process pipeline?

4

Hi,
My process pipeline-

  1. after primary gie , there is a custom model(640x480) i need to use and that is being used inside the gst-dsexample.
  2. Inside framemeta_list, iterate and extract each frame and resize to 640x480 from get_converted_mat()
  3. Inference on those image to detect custom class.
  4. attachmeta call.

So , for each frame extracted i am calling get_converted_mat API, that is essentially GPU buffer → CPU . This is taking time when number of frames are more.

So i wanted to use frame data by keeping it inside GPU only.

I checked this link also but no solution-

5

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

Sorry for later response, do you get the solution?