This repository was archived by the owner on Sep 27, 2023. It is now read-only.
Description Is your feature request related to a problem? Please describe.
Buffers are not floating point buffers (integers or less than integers 8-4-4 or even 4-2-2)
Limitations in how data flows around in GStreamer (video format, can’t pass floating points numbers, no point in transforming before inference)
Transforms -> inference -> transforms flow can’t be done. Hast to be done as G streamer data types.
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Goal: Read into CUDA tensors
DS fix: parameters on inference that handles offset
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A clear and concise description of any alternative solutions or features you've considered.
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Need use cases: current models from KCL had 1 channel input. Had to retrain to have 3 channels
Select from 2-3 # of channels down to 1
How do we insert pre-transforms
Can’t do it in a separate component.
Enhance DS inference server
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Is your feature request related to a problem? Please describe.
Describe the solution you'd like
Describe alternatives you've considered
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