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Hello, I encountered another problem when loading the pre-trained model, as shown in the following figure:
When calling the python svhn_train.py --model_prefix provided by you, the responding model file cannot always be found, but I switched the directory to this directory and found that there is a responding model file in this directory, so it is strange.
The only difference between me and you is that my mxnet version is 1.0.0 instead of 0.9.3, but I think the functions of the two versions of the model load should be the same, and it will not cause the error.
In addition, I would like to ask you, is there a difference between see-ocr and stn-ocr? Are the two models exactly the same? What is the difference between the two?
Looking forward to your reply!
The text was updated successfully, but these errors were encountered:
think you have to provide the full name of the params file. Did you try that already?
The main difference between SEE and STN-OCR is that SEE is written in Chainer (which is simpler to use) and has some different code. However, all in all they are quite similar, I think. I wrote that code about 4 years ago 😅.
Hello, I encountered another problem when loading the pre-trained model, as shown in the following figure:
When calling the python svhn_train.py --model_prefix provided by you, the responding model file cannot always be found, but I switched the directory to this directory and found that there is a responding model file in this directory, so it is strange.
The only difference between me and you is that my mxnet version is 1.0.0 instead of 0.9.3, but I think the functions of the two versions of the model load should be the same, and it will not cause the error.
In addition, I would like to ask you, is there a difference between see-ocr and stn-ocr? Are the two models exactly the same? What is the difference between the two?
Looking forward to your reply!
The text was updated successfully, but these errors were encountered: