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How to do yolo inference with 16-bit half precision floats instead of 32-bit float? #1031

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prnvjb opened this issue Aug 8, 2018 · 2 comments

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@prnvjb
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prnvjb commented Aug 8, 2018

Hi guys,

What is the key parameter that I should change in yolo v3 model/cfg or in libdarknet for inferencing with float16? I heard it increases inference speed.
would you tell me what are the other parameter to consider for inferencing yolo v3?

Thanks!!

@naturalistic
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Hi, I believe this was added in a fork located here:

The developer mentioned it increases detection 3x ect.

https://github.com/AlexeyAB/darknet

@czhaneva
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czhaneva commented May 7, 2021

Hi, I believe this was added in a fork located here:

The developer mentioned it increases detection 3x ect.

https://github.com/AlexeyAB/darknet

Hello, would you please tell me where should I to find the implementation.
I can't find relative information.

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