Want to implement Slicing Aided Hyper Inference (SAHI) in deepstream

Please provide complete information as applicable to your setup.

**• Hardware Platform (Jetson / GPU) GPU:NVIDIA RTX A4000
**• DeepStream Version 6.2
**• TensorRT Version
**• Ubuntu 22.04

GStreamer 1.20.3

NVIDIA driver 535.104.12

CUDA 12.2

TensorRT 8.6.1.6
**• 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)

Please refer to SAHI - Slicing Aided Hyper Inference - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums

But SAHI is not model , it’s inference technique

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

You may customize the similar function with nvdsvideotemplate. Gst-nvdsvideotemplate — DeepStream documentation 6.4 documentation

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