Cannot train Recognizer - ValueError: Exception encountered when calling layer 'lambda_1' (type Lambda). about keras-ocr HOT 5 OPEN

any solutions?

from keras-ocr.

I am experiencing the same issue.
Any tips on how to fix this?

from keras-ocr.

I got it workingv (not crashing) with the following changes:

import tensorflow as tf    
tf.compat.v1.disable_eager_execution()
tf.compat.v1.experimental.output_all_intermediates(True)
 

and removing batch_size from fit()

from keras-ocr.

I got it workingv (not crashing) with the following changes:

import tensorflow as tf    
tf.compat.v1.disable_eager_execution()
tf.compat.v1.experimental.output_all_intermediates(True)
 

and removing batch_size from fit()

Seems to have fixed it.
Got an explanation for the fix?
Also got this warning now:

WARNING:tensorflow:Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ?

from keras-ocr.

I had exactly the same problem. I forked this repo to make it usable with python3.10 and it also fix this

See: https://github.com/geo-tp/image-ocr
Colab training example: Training Recognizer

from keras-ocr.