Thanks for the help getting this done, François!
New code walkthrough on http://keras.io : using a siamese network to learn to estimate how similar two images look like -- trained on the "Totally Look Like" dataset. Super readable and nicely explained. Created by @hazemessamm & @svpino
Check it: https://keras.io/examples/vision/siamese_network/ …pic.twitter.com/X7RLmsxiEC
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Great work
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Well done
@hazemessamm and@svpino. Beautiful use of http://tf.data to pack everything neatly
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Thanks!
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I have a keras problem, my http://model.fit and http://model.fit _generator are not working IDK why I’m even surprised by this. Mind to kindly help
@fchollet? -
fit_generator() is now deprecated you can train your generator using fit() and if you implemented a custom generator class make sure that you inherit from tf.keras.utils.Sequence and implement __len__() and __getitem__() methods.
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Looks like a fun dataset! It looks like the image triples shown are examples taken from the dataset rather than pairings retrieved by the trained model - I gather a demo of the model is limited to printing out the positive and negative example similarities right at the end?
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Correct.
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I am loading my own custom dataset but I am getting an error unsupported operand type :/ str and str...I am loading dataset from my own disk. Any solution for this?
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