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I have successfully followed the steps outlined in the NanoOWL tutorial on Jetson AI Lab, and have managed to get it functioning with various types of cameras.
I am currently exploring the integration of NanoOWL into a DeepStream pipeline on a Jetson device, specifically leveraging the nvInfer plugin. Given the real-time capabilities and advanced features of NanoOWL, it seems like a promising addition to a DeepStream application.
Could you provide insights or confirm if it's feasible to implement NanoOWL within the NVInfer plugin of a DeepStream pipeline? Furthermore, if this integration is possible, I would appreciate guidance on the configuration.
Additionally, are there any demos or examples available that showcase the integration of NanoOWL with DeepStream? Such resources would be incredibly helpful for understanding the implementation process and best practices.
Thank you for your time and assistance.
The text was updated successfully, but these errors were encountered:
Hello NVIDIA-AI-IOT Team,
I have successfully followed the steps outlined in the NanoOWL tutorial on Jetson AI Lab, and have managed to get it functioning with various types of cameras.
I am currently exploring the integration of NanoOWL into a DeepStream pipeline on a Jetson device, specifically leveraging the nvInfer plugin. Given the real-time capabilities and advanced features of NanoOWL, it seems like a promising addition to a DeepStream application.
Could you provide insights or confirm if it's feasible to implement NanoOWL within the NVInfer plugin of a DeepStream pipeline? Furthermore, if this integration is possible, I would appreciate guidance on the configuration.
Additionally, are there any demos or examples available that showcase the integration of NanoOWL with DeepStream? Such resources would be incredibly helpful for understanding the implementation process and best practices.
Thank you for your time and assistance.
The text was updated successfully, but these errors were encountered: