PHALP tracker taking lot of CPU utilization
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9e0 commented
Hi,
I find that PHALP tracker taking lot of CPU utilization, as numpy does not support GPU.
Enabled code to run on CUDA, still the CPU utilization is heavy.
I feel the performance might be better if numpy array transactions can be moved to GPU
Is there a way I can make the PHALP tracking to run on GPU
Thanks in advance
geopavlakos commented
We haven't optimized that aspect, so you might want to look into this, but it's possible that you could do better by moving all the operations to GPU.