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Hi @yonatanbitton,
I think you may convert the model to tflite or coreml format for deploying in Android and IOS (example: torch->onnx->tensorflow->tensorflow lite), then use the preprocessing, postprocessing code to inference. However, I don't highly recommend you, the two-stage model require a detector and it is not quick enough for realtime in mobile. Anyway, I haven't try it yet, so you can try for experience then let me know about the time. Thanks!
Is there any mobile implementation? Androis / iOS?
Thanks
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