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Excuse me:
I noticed that your code gives the training steps of the model on the two variant data sets of svhn, but the training steps of the model on the original svhn data set are not given. If you want the model to be trained on the original svhn data set, how should the original svhn data set be preprocessed? For example, how big should the svhn data set be resized?
Looking forward to your reply.Thank you very much!
The text was updated successfully, but these errors were encountered:
Hmm, that's a very good question to be honest.
I can't remember entirely. However, my guess is that we just used the text recognition training script. Recognizing Characters on already cropped SVHN numbers is the same as recognizing text.
Excuse me:
I noticed that your code gives the training steps of the model on the two variant data sets of svhn, but the training steps of the model on the original svhn data set are not given. If you want the model to be trained on the original svhn data set, how should the original svhn data set be preprocessed? For example, how big should the svhn data set be resized?
Looking forward to your reply.Thank you very much!
The text was updated successfully, but these errors were encountered: