'1 Object Detection Model, multiprocessing

I want to start many processes in python, and all of them will hold the same object-detection model, and run in parallel.

Is there a way to do it?

since multiple processes cannot access the same memory (in large scale and fast), I guess it will require me to load a model for each process I start?

Would appreciate any help or referral for readings. Thanks! :)

pytorchmultiprocessingobject-detectionpython-multithreadingonnx


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