Preprocessing image before feed it in SGIE

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

• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
Hi,
I am working on a pipeline which face detection as primary inference and generate face feature vector as secondary inference. Before the secondary inference, I have a face landmark detector which is added to user-meta-data. I want to align the faces using these landmarks points to feed the sgie.
Presently I am achieving this by changing the(custom plugin dsexample) blur-objects function to align-objects where I change the ROI of faces(in_mat) to aligned faces. But in this case, the original frames are distorted.
Is there a way to define some function which preprocesses the in_mat for the sgie before feeding it.
Any help will be appreciated.

thanks.

this is older topic from DeepStream SDK - NVIDIA Developer Forums . Hower, dont have answer yet,

3

There is no update from you for a period, assuming this is not an issue any more.
Hence we are closing this topic. If need further support, please open a new one.
Thanks

Sorry! Don’t understand your requirement, What do you mean “define some function”? Why do you think this can solve your issue?