Same nonsense output for any input when inference

[lamhoangtung]

• 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

[githubharald]

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.