Instance Segmentation on Android

Submitted by shironorey t3_10aule2 in deeplearning

Hi guys, I'm currently lvl 1 in machine learning stuff and I was wondering is it possible to make an instance segmentation model and implement such model to android ? (phone camera for the image input)

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cma_4204 t1_j47dtfi wrote

This is semantic segmentation but could be good starting point https://github.com/pytorch/android-demo-app/tree/master/ImageSegmentation

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shironorey OP t1_j4zq8bo wrote

I've seen alot of post that says the only model that support instance segmentation for android is Mask R-CNN, never check on semantic but maybe there's a point there to take. btw thanks, will check em

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cma_4204 t1_j4zrl0f wrote

That same page has an object detection demo, between the object detection and semantic segmentation examples there is probably enough info to figure out how to swap to instance seg

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shironorey OP t1_j4zstg7 wrote

What a nice coincidence, I'm also looking on object detection for an alternative. Could found two answer then, nice.

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SoopaFly_ t1_j482pm2 wrote

Don’t know that you’ll get much processing done (in a reasonable enough timeframe) on Android, but you can definitely create a client/server architecture where the processing is done remotely and the android phone just feeds the remote server data for processing and receives the output and displays it.

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shironorey OP t1_j4zqttn wrote

I've done some project on plant leaf classification on android and surprisingly it works fine without straining even an old phone (using mobilenetv3) and I've also heard about computation problem before regarding deep learning especially on android quite frequent. But nice idea though could actually be an alternative for my problem. Will definetily look further on it.

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