No activation operation error about handwriting-ocr HOT 6 OPEN

This was solved.

from handwriting-ocr.

I'm facing the same issue. How did you solve it?

from handwriting-ocr.

@haripranavk , This was long back. I think if you download the recent(current) code it wont give you any problem.

from handwriting-ocr.

@yasersakkaf thank you for being prompt. Actually, I recently downloaded and the issue is still pertaining.
Would you kindly let me know how did you solve?

from handwriting-ocr.

Actually the OCR.ipynb was designed to use only charclass model, since here we segment the image into each character (using the gap classifier model) depending on the gaps between them and them identify each character.
Other models like word classifier identify the entire word.
So other models will not work.

@Breta01 Please correct me if I am wrong.

from handwriting-ocr.

@yasersakkaf yes you are correct.
The problem is that for loading models I am using my custom class Graph. This class use operation called activation as default output operation in the TensorFlow model. However, CTC model have different name of output function, which you have to specify during creation of class as:

model = Graph(MODEL_LOC, 'word_prediction')

But you would also have to change mechanism of feeding images into the model. This is actually implemented in OCR-Evaluator.ipynb where I am comparing different models

from handwriting-ocr.