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如何合并pse给出的文本框?
![15](https://user-images.githubusercontent.com/35583878/63084437-bdf0c180-bf7d-11e9-93f3-31fc417ae0a2.jpg)
如何合并图中的文本框,请给我一些建议,🙏。
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作者的代码很棒,但是这几天我在实际的实验中遇到了一些问题并进行了其他几处改进,在这里分享一下。
1. eval失败。解决:script.py文件中16,17行改为
'GT_SAMPLE_NAME_2_ID': 'gt_img_([0-9]+).txt',
'DET_SAMPLE_NAME_2_ID': 'res_img_([0-9]+).txt'
2…
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请问输出的检测结果区域,怎样提取出来呢?以便于做识别。因为结果区域并不是规则的矩形,我们怎样提取出来做识别呢? @whai362
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i want to only test the acc of Structure recognition accuracy and use mmocr_teds_acc_mp.py, then i use pretrain model name as you supply epoch_16_0.7767.pth, to get only table structure results
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**Describe the bug**
If I print ```results``` variable [here](https://github.com/open-mmlab/mmocr/blob/d7fa9544e623bc1c1205ac3172b522b0b45918e3/mmocr/datasets/pipelines/ocr_transforms.py#L86), I obta…
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![2222222](https://user-images.githubusercontent.com/20136991/86200346-f649c000-bb8e-11ea-8b92-dfa08ecc90ff.png)
>>> tensorflow.__version__
'1.13.1'
>>> torch.__version__
'1.5.0+cpu'
>>> torc…
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rt。。。发现最后的结果边界都比较差,会往内缩一点,不知道是不是我迭代的次数太少了,但是600个epoch也太长了吧,现在我一般只训50个epoch左右,600个估计一个星期能有一个结果
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Hi @wenwenyu , Please provide some information on the OCR module also... that will be really helpful. How are you extracting text from the test images? Are you using Tessaract or some other API? Is t…
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Do we have tpu support for training and inference models?