Object Detection in Julia

General Usage Performance
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I would like to see examples of Object Detection using YOLO and SSD implemented in Julia.
Has anyone tried this before?

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https://github.com/IanButterworth/YOLO.jl

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3

YOLO.jl has a knet backend.

ObjectDetector is a bit more featured, with a Flux backend.
https://github.com/r3tex/ObjectDetector.jl

There’s also a wrapper of AlexeyAB’s fork of Darknet
https://github.com/IanButterworth/Darknet.jl

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I linked to your YOLO partly because your README has pointers to other related projects

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5

Great, this helps.

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Also the performance, what is the best way to measure the performance in terms of memory footprint and training and inference time ?

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Bumping the topic a bit. I also found: https://github.com/DhairyaLGandhi/maskrcnn
Does any of them have the training capability as well? At least to un-freeze the last layers because I would need to re-train them on a custom dataset.