MichalBusta / E2E-MLT

E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text
MIT License
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Detect rectangle box only #35

Closed kei6 closed 5 years ago

kei6 commented 5 years ago

Hi @MichalBusta, First of all, thanks for your great work! My training dataset has only samples with rectangle boxes! After 200 epoch of training, the model can predict liked below image: Annotation 2019-05-23 142022 Because of wrong angle detecting, that leads to wrong OCR result!

Then I think about a model with no angle (or unchanged angle) to predict rectangle boxes only. I've known that your model with angle is really awesome, but in my case to predict rectangle boxes only. How can I do it?

Thanks a lot!

MichalBusta commented 5 years ago

a lot of options

On Thu, 23 May 2019 01:28 Kei_Cin, notifications@github.com wrote:

Hi @MichalBusta https://github.com/MichalBusta, First of all, thanks for your great work! My training dataset has only samples with rectangle boxes! After 200 epoch of training, the model can predict liked below image: [image: Annotation 2019-05-23 142022] https://user-images.githubusercontent.com/45931733/58233321-f6f60d00-7d65-11e9-8eed-80cbdbc968ac.png Because of wrong angle detecting, that leads to wrong OCR result!

Then I think about a model with no angle (or unchanged angle) to predict rectangle boxes only. I've known that your model with angle is really awesome, but in my case to predict rectangle boxes only. How can I do it?

Thanks a lot!

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