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Hi, I will really appreciate it if someone points me to an example that shows how I can create two graphs (lets say features from different layers of a trained network) and then make 2 inferences on the same data without having to load the image twice.
Thanks
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@Player3120
I do not know if it is useful, but my program below loads two kinds of graph.
Pascal VOC + WIDER FACE ---> 20 Class detection and face detection
Two types of detection are performed simultaneously using two kinds of graphs.
It works with normal USB camera.
https://github.com/PINTO0309/MobileNet-SSD-RealSense/blob/master/MultiStickSSDwithRealSense.py