Comments (4)
Hello :)
First of all, thanks for visit.
Yes, you're right. if you want to predict text box, you need more parameters to handle rotation I think.
Or may I got wrong what you say because I'm not familiar with text box detection problem.
I re-implemented SSTDNet for object detection problem so I only need 4 parameters to determine bounding box.
Thanks!
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Thank you for your replying!
You got right what I say. In real scene, That multi-orientation text exists in the natural image is a general thing. So In the original paper of Single Shot Text Detector with Regional Attention, multi-orientation text is detected. But, the author only share the test code nor training code, so I feel confused about the details.
Anyway, thank you again.
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Author may use more than 4 parameter for bounding box as my think.
I think you can check from ICDAR 2013 or 2015 dataset.
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@HotaekHan
OK, I will check it later. Thanks.
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Related Issues (14)
- How to use this๏ผ HOT 2
- This code doesn't work for text detection? HOT 2
- Focal loss HOT 7
- why all the loss is nan HOT 1
- Decoding is very slow HOT 2
- about text detetion
- could you upload your train directory and your trainned module HOT 8
- how to gen train data? HOT 1
- SSTD net details problem HOT 4
- anchor areas HOT 4
- Prepare dataset HOT 4
- Type Error
- Error while training HOT 6
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