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I would like to see what the alternate predictions were for "5023-00013 A-3".
An example alternative predicition for "5023-00013 A-3" would be something like this (e.g. S823-88813 A-3", Confidence score: 0.200234)
Is there a way to do this? Possibly altering "recognition.py" "get_recoginizer" method? I don't want to alter any source code if I have to but if someone has a solution, I am all ears.
The text was updated successfully, but these errors were encountered:
Hi,
###Example code###
reader = easyocr.Reader(['en'], gpu = True)
results = reader.readtext('example_labeltif')
for result in results:
bbox, text, score = result
print(f"Text: {text}")
print(f"Confidence Score: {score}")
print()
(Returns):
Text: 5023-00013 A-3
Confidence Score: 0.7890631529022496
Text: BEAKER,
Confidence Score: 0.9955028038505163
Text: ERIKA
Confidence Score: 0.6211073188069697
I would like to see what the alternate predictions were for "5023-00013 A-3".
An example alternative predicition for "5023-00013 A-3" would be something like this (e.g. S823-88813 A-3", Confidence score: 0.200234)
Is there a way to do this? Possibly altering "recognition.py" "get_recoginizer" method? I don't want to alter any source code if I have to but if someone has a solution, I am all ears.
The text was updated successfully, but these errors were encountered: