Christian Bartz

@glefundes I'm still thinking and working on a better way for that. I think your idea can only work if you can do this bbox adjustment in a differentiable way,...

@glefundes is right, your `char_map` is not correct. It does not know which class to map to the character with the ASCII code `77` which is `chr(77) == 'M'`. Please...

@harshalcse the flag `--snapshot-interval` gives the interval in which a snaphot is taken. So if you set it to 1000,a snapshot of the current model will be created after 1000...

All I can say is that after `snapshot_interval` iterations, you should get a snapshot of the model (see [this](https://github.com/Bartzi/see/blob/master/chainer/train_text_recognition.py#L248) line of code)

You can disable the code that causes this and you won't have that problem anymore...

@harshsp31 thanks for bumping this issue. I totally forgot to answer the last question :sweat_smile: @harshalcse Please have a close look at the error you got. The first excption tells...

Yes, you are right this might not be the right place to ask this :wink:, but the answer is: it doesn't.

That's a very good question. I can not reproduce this error on my machine. The error tells you that your model (i.e. the parameters) has not been copied to the...

Could you provide the exact command you used to invoke the script and also the exact error you get? As I said, I can not reproduce the error here...

I'm not sure, whether this will fix it, but I your command-line should look like this: ``` python ~/see/chainer/text_recognition_demo.py ~/see/text_recognition_model/model \ model_190000.npz ~/see/demo/19.png \ ~/see/datasets/textrec/ctc_char_map.json --gpu=0 ```