-
Notifications
You must be signed in to change notification settings - Fork 3.2k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
size mismatch for Prediction.bias Error! #1315
Comments
in https://github.com/JaidedAI/EasyOCR/releases/tag/v1.1.7 Tamil Lines 194 to 200 in 914b164
Lines 49 to 51 in 914b164
EasyOCR/easyocr/character/ta_char.txt Lines 1 to 47 in 914b164
The values for characters are as follows, with a total of 144.
and in https://github.com/JaidedAI/EasyOCR/releases/tag/v1.7.2 Lines 127 to 134 in c4f3cd7
The values for characters are as follows, with a total of 128.
|
i also getting this error so please tell me how to solve this |
This code is used
import easyocr
reader = easyocr.Reader(['ta'], gpu=False) # this needs to run only once to load the model into memory
result = reader.readtext('tamTxt.png')
print("result : ",result)
i got this error i run this code using cpu
Traceback (most recent call last):
File "C:\python\test\g.py", line 2, in
reader = easyocr.Reader(['ta'], gpu=False) # this needs to run only once to load the model into memory
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Python312\Lib\site-packages\easyocr\easyocr.py", line 231, in init
self.recognizer, self.converter = get_recognizer(recog_network, network_params,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Python\Python312\Lib\site-packages\easyocr\recognition.py", line 174, in get_recognizer
model.load_state_dict(new_state_dict)
File "C:\Python\Python312\Lib\site-packages\torch\nn\modules\module.py", line 2215, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Model:
size mismatch for Prediction.weight: copying a param with shape torch.Size([143, 512]) from checkpoint, the shape in current model is torch.Size([127, 512]).
size mismatch for Prediction.bias: copying a param with shape torch.Size([143]) from checkpoint, the shape in current model is torch.Size([127]).
The text was updated successfully, but these errors were encountered: