Y don't u document your source code that is written in python before adding any extensions?
New post on the Keras blog, by @PyImageSearch: how to build a REST API for your Keras models - https://blog.keras.io/building-a-simple-keras-deep-learning-rest-api.html …
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Curious if anyone do stress testing on it. On first sight it needs to create several instances of flask to work on concurrent threads, and the first one will eat all GPU memory by default.
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Hey Serge! Please see the more advanced version on the PyImageSearch site (linked to from the original post): https://www.pyimagesearch.com/2018/01/29/scalable-keras-deep-learning-rest-api/ … I've stress tested it with 500 requests, 0.05 seconds in between each, the 32 image size queue never got above ~40% full.
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If you want it serverless check out https://github.com/sunilmallya/keras-lambda …
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This could be a great way to expose image recognition to
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Almost a same tutorial, but with deploying it to
#Heroku and with a sample Android application.
https://gaborvecsei.wordpress.com/2017/01/22/deep-learning-on-heroku-tutorial-iris-classification/ …Thanks. Twitter will use this to make your timeline better. UndoUndo
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