Processing stream about nvdsinfer_custombboxparser

Accelerated Computing Intelligent Video Analytics DeepStream SDK
#1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) GPU 2080
• DeepStream Version 6.0
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, 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)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
Hello NVIDIA team! Nvdsinfer_custombboxparser processing immediately after nvinfer batch processing like nvinfer or single processing for each stream?

#2

Can you help elaborate the context of your question? Where is the "Nvdsinfer_custombboxparser " in your example?

#3

Example: NvDsInferParseYoloV3 function in nvdsparsebbox_Yolo.cpp. This function is called after inferencing engine model (in nvinfer element). My deepstream app run with multi camera. My question is: “NvDsInferParseYoloV3 will be processed in batch or single processing for each stream? How is processing detail?”.

#5

NvDsInferParseYoloV3 is just postprocessing which parses the output layers of the network into bboxes. The postprocessing function is frame level.

gst-nvinfer and the function you mentioned are totally open source. You can read the code for details.

#6

“The postprocessing function is frame level”. So if my app running with 50 cams, postprocessing will be do 50 times (a loop including 50 iter)? Is there any way I can multithread this process?

#7

It is already multithread process. You can also modify the code in gst-nvinfer as you like. It is open source.

1 Like
#8

Thank you very muck beacause of your helping!

#9

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