LPR deepstream 6.1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) T4
• DeepStream Version 6.1
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.2
• NVIDIA GPU Driver Version (valid for GPU only) 11.4
• 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)

im following the python version of LPR

but im getting 2 bounding box , on the outer box im getting the licence plate number , how to match with the primary bounding box

Can you check our sample application on github? The models have been updated to the latest version in our example.

The python sample is not provided by Nvidia.

The LPR c/c++ sample is in NVIDIA-AI-IOT/deepstream_lpr_app: Sample app code for LPR deployment on DeepStream (github.com)
You can get the parent object from the SGIE output. NVIDIA DeepStream SDK API Reference: _NvDsObjectMeta Struct Reference

does the licence number would be drawn within the bounding box ?

Yes. Nvidia LPR c/c++ sample will show license string in bbox.

im getting lpd as the detection , not getting the licence plate value of it

i need to make bounding box co-ordinates to 0,0,0,0 in the config of sgie , how to do it , do that outer bouding box gets erased and pushed at Licence plate

@h9945394143 Please use our LPR sample. It can display the car license and we set the text in yellow color.

The python sample is not provided by Nvidia. Please ask the author for help.

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.

The bbox information is in NVIDIA DeepStream SDK API Reference: _NvDsObjectMeta Struct Reference

Please read DeepStream document and sample code if you want to do any customization.

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