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FWIW we have some similar R-CNN models using this codebase running in the FB apps on iOS/Android with Caffe2 - with some neat bells and whistles (eg full execution of the compute graph on the device GPU where available via Metal/OpenGL). I’ll look into adding a mobile tutorial for Detectron if you’re interested.

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That would be awesome. But - is a tutorial enough? From what I gather from the readme the custom ops have cuda implementations and no CPU ones, which you'd like to have as a fallback on mobile (even if metal/opengl implementations exist), or am I wrong?

They exist and are (nearly all) open-sourced for CPU & Metal (I wrote some of them).

Nice - the "Detectron operators currently do not have CPU implementation; a GPU system is required." on https://github.com/facebookresearch/Detectron/blob/master/IN... is outdated then? Or is it the "nearly all" that's behind this statement?

We have open sourced several operators for detectron so that the model could run on GPU/CPU/mobile (https://github.com/facebookresearch/Detectron/commit/757d77c...). We also open sourced a conversion tool (https://github.com/facebookresearch/Detectron/commit/757d77c...) to help converting the model.

Not the OP, but +1 from me for such a mobile tutorial. And thank you in advance!

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