How to create a customized INvDsInPlaceDataHandler component?

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

**• Hardware Platform (Jetson / GPU) **GPU
• DeepStream Version6.2
**• JetPack Version (valid for Jetson only)**6.2
• TensorRT Version
**• NVIDIA GPU Driver Version (valid for GPU only)**525
**• Issue Type( questions, new requirements, bugs)**questions

I want to implement some functionality, like nvidia::deepstream::NvDsSampleProbeMessageMetaCreation using my own models and classes.

Do you have the source file for this component?

Do I have to build my own extension to achieve this kind of customized functionality? Can this be done by combining other components in graph composer?

Thanks

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Screenshot from 2023-05-30 02-16-42

If I uncheck the generate-dummy-data box, does this mean the following “vehicle-type-unique-id car-make-unique-id car-color-unique-id” won’t affect the message?
And, does this mean I can just use this sample extension to generate payload with my own model specified by config file in the infer component?

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The source code is not published.

If you want to generate different types of message meta, you need to customize your own extension.

No.

No. "check/uncheck ‘generate-dummy-data’ " only impacts the bbox coordinates and “person” objects information in the message.

1 Like
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Thanks,

If I want to use container build tool on x86 dev platform for jetson deploying, do I need run both
bazel build … and build … --config=jetson on the x86 dev platform?

BTW how can I unregister a extension or update the same name extension to a new version?

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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

Container Builder is the tool which can be used to generate docker for the graphs. Please refer to the usage Container Builder — DeepStream 6.3 Release documentation

You can use the following commands to clean the registered extensions
registry repo clean
registry cache -c
Please refer to the registry usage Registry — DeepStream 6.3 Release documentation

Different extension versions can co-exist.

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