Add padding to bounding box before secondary inference in python

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) dGPU
• DeepStream Version 6.1
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only) RTX2080Ti
• 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)

I’m using 2 models in deepstream python binding for primary inference and secondary inference.
I need to add padding to the bounding boxes detected in primary inference before bringing them to secondary inference. I found some code in see C language but I don’t know how to use this in python. Please help me.

Thanks!

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This is code I found

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You can refer this to get the related structures:
https://github.com/NVIDIA-AI-IOT/deepstream_python_apps/blob/master/apps/deepstream-imagedata-multistream/deepstream_imagedata-multistream.py

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Thanks, I will try and reply to you

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Hello @ttrungtin2910 Do you still need support for this topic? Or should we close it? Thanks.

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I still need support, please don’t close this topic, I have just learn about deepstream and python so I am slowly understanding. Thanks

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No problem, take your time.

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I mean scaling up the bounding box before bringing it to secondary inference, not adding padding to the video

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Do you want to just scaling up the boundary of the bounding box or the picture of the bounding box?

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No, I just want to scale up the boundary of the bounding box. Because some BB is not include all part of object before bring them to secondary inference

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You can try to get the coordinate of bbox by probe function of the pgie and reset them by yourself.

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I can get the coordinate of bbox by probe function of the pgie, Please guide me reset them and bring them to secondary inference

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You can get the coordinate from the pgie probe function, just reset it by yourself. Then send the new coordinate to the sgie.Like below:

  (100,100) -> (50, 50)
  (100,200) -> (50, 300)
  (200,100) -> (300, 50)
  (200,200) -> (300, 300)
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Thank you for your help, I will try

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Yes, I can do this
Thank you so much

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