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I extracted the features for an input image that I want to extract its text:
features = encoder(image) output = decoder(features) output
This is the result:
tensor([[[[-1.0373e+01, -9.2096e+00, -5.9885e+00, ..., -5.2428e+02, -3.8752e+02, -4.4228e+02], [-2.8680e+00, -3.1839e+00, -2.2322e+00, ..., -5.3969e+02, -5.8710e+02, -6.5721e+02], [-5.8041e+00, -6.1079e+00, -5.0006e+00, ..., -5.9030e+02, -6.4768e+02, -7.5395e+02],.....
Now I want to visualize the result paragraph! Do you have an idea how this is done?
Thank you so much for your work!
Thank you very much for your excellent work!
When I studied your code in depth recently, I didn't quite understand the line of code (pred = global_pred[i, :, :x_h, :x_w]) in function train_batch. Why do you do this?
Thank you for your excellent work (van and span) When I reproduce the code, why are many characters predicted to be len (self. Charset) in my data set
Sir, What is the sources of .xml files mentioned in raw/xml ??
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