Comments (12)
@MhLiao Thanks, I have solved by adding sigmod to threshold map, by the way, have you try supervised normal border map as threshold map like 'self organized text detection', and compare it in ablation study?
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very good work , but i have a question:
why the label of threshold map is bigger closing to G, smaller closing to Gs and Gd, rather than bigger closing to Gs and smaller closing to G.
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@saicoco You are correct. But I am not sure why your loss cannot be converged.
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@saicoco We did not try it.
The threshold map would highlight the text border region even without supervision for the threshold map. This indicates that the border-like threshold map is beneficial to the final results. Thus, we apply border-like supervision on the threshold map for better guidance.
The threshold supervision makes the training more stable and obtains minor performance gain on some specific datasets. However, we think that it is not the key element of DB since the DB is effective even the threshold supervision is removed.
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@MhLiao Thanks for you detail reply, I am understand it clearly that why you add a threshold supervision😊
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@saicoco How abount your implementation result?
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@Banyueqin I implement it based psenet codebase, just add a label for threshold map, two heads for threshold map and binarization map, I dont try deformablev2.
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@saicoco Thanks for your reply, I have some problems in implementation. Can you give me some advice? I contact you with the email. Or do you have QQ?
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@saicoco did you post the code for your implementation
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@MhLiao
When two texts are close to each other, threshold map gt will also overlap, what to do at this time?
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@saicoco @Banyueqin can we communication with qq?my qq is 572459439, please note DBNet
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@MhLiao When two texts are close to each other, threshold map gt will also overlap, what to do at this time?
hi,can you please what i do for displaying the image of threshold map and probability map in the code
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Related Issues (20)
- ICDAR 2015 validation
- 百度网盘地址失效了 HOT 2
- are there any resources for sorting the bounding boxes ?
- Spelling of prepare is wrong in README
- could you add a license file to your repo?
- ValueError: num_samples should be a positive integer value, but got num_samples=0
- 计算FPS时,--speed报错ZeroDivisionError: division by zero
- Error when converting checkpoint to ONNX HOT 3
- eval.py 报错:RuntimeError: Attempted to set the storage of a tensor on device "cuda:0" to a storage on different device "cpu". This is no longer allowed; the devices must match. HOT 4
- eval结果为0 HOT 6
- 想使用torch自带的dcn,代替代码中的DCN编译算子,请问大家如何下手?还是建议不修改 HOT 1
- The model trained by ASF config can't be used by demo.py
- Could not find a version that satisfies the requirement opencv-python==4.1.2.30 HOT 1
- CUDA error: device-side assert triggered
- 运行python setup.py build_ext --inplace命令时出现错误 HOT 2
- Unknown CUDA
- .
- TypeError: metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases
- Sizes of tensors must match except in dimension 0. Got 2 and 1 in dimension 1 HOT 1
- Calculation of Valiation loss
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