it won't work on user uploaded photos. reason? generally, DIGITAL blur CANNOT approximate ANALOGUE blur, and since blur in most user photos is of analogue source, it won't work.
Pre-trained network for image super resolution (in Keras): https://github.com/idealo/image-super-resolution … An evening project would be to export it to TF.js to run in the browser on user-uploaded photos
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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Very cool - feels like this sort of enhancement is becoming standard in many image processing tools, especially on smartphones (iPhone + Pixel). At this point, can't really know whether an image is the "original" or somehow altered / enhanced
Thanks. Twitter will use this to make your timeline better. UndoUndo
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A weekend project for me will be converting weights to CoreML and creating an iOS app.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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