The image of long width has a bad result, the short one does not

[Jayhello]

For example the good result with short width

the bad result with long width

[Duum]

because the best path decode method is not work well in long term , please change another ctc decode method

[Jayhello]

@Duum Thank very much for your reply. But how to do this in detail ? And can you give some advise about the question https://github.com/bgshih/crnn/issues/39

[Duum]

you can try Prefix Search Decoding or other decoding method.

[misssprite]

@Duum Why does the length of label have a negative effect on the precision of best path decoding? Is there any literature talking about this?

[hellbago]

I think the problem is given by the rescaling of the image to 100x32 size. For long sequence images, by applying this rescaling, single character appears very crushed, and this fact can impact the classification. I don't think best path decoding ca influence the results in such a way.

[Heisenberg0391]

@hellbago crnn is able to handle images of arbitrary width. So, for testing, i think you only have to resize the image along the height dimension while preserving aspect ratio, otherwise you will get a distorted image like you said