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)
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.
this is older topic from https://forums.developer.nvidia.com/c/accelerated-computing/intelligent-video-analytics/deepstream-sdk/15 . Hower, dont have answer yet,