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Same nonsense output for any input when inference #12

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lamhoangtung opened this issue Oct 4, 2018 · 1 comment

lamhoangtung commented Oct 4, 2018

I modified your models with more layers of CNN and MDLSTM instead of Basic LSTM, training and validating worked perfectly for me.
But when I try to inference a single input images, i get the same output for all input when inference, but when I feed different image to the infer batch then it will be fine
Fill all the batch with the same img or with white or black image are all result in same output for any input

Have you ever encountered this weird problem ? What thing that i possibly missed here ? Thanks

Owner

githubharald commented Oct 4, 2018 •

edited

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This is on purpose.
A batch has a fixed number of batch elements, therefore I repeat the single image for inference here:
https://github.com/githubharald/SimpleHTR/blob/master/src/main.py#L91
You have to change the code there if you want another behaviour.

githubharald closed this as completed

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