Object Detection in Julia

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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YOLO.jl has a knet backend.

ObjectDetector is a bit more featured, with a Flux backend.

There’s also a wrapper of AlexeyAB’s fork of Darknet

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

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Great, this helps.

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

Bumping the topic a bit. I also found: GitHub - DhairyaLGandhi/maskrcnn: Implementation of Mask RCNN in Flux.jl
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.