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keras复现场景文本检测网络CPTN: 《Detecting Text in Natural Image with Connectionist Text Proposal Network》;欢迎试用,关注,并反馈问题...

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能否公布一下依赖环境

您好,我在使用您的模型预测时,报了错误: `File predict.py line 64 in module main(argments) ` `File "...image_utils.py" in load_image_gt` `image, window, scale,padding = resize_image(image, output_size)` `File "...image_utils.py" in resize_image` `order=1, mode='constant',cval=0,clip=True,preserve_range=True` `FIle ".../skimage/transform/_warps.py", line 165 in...

检测好文本行后生成的结果图片固定设置到了1600*1600,怎么保持测试图片原尺寸输出?

AttributeError: 'google.protobuf.pyext._message.FieldProperty' object has no attribute 'allow_growth'

Thanks for your sharing! But I'm very confusing when change TRAIN_ANCHORS_PER_IMAGE and TEXT_PROPOSALS_MAX_NUM. How can I decide exactly what it is with my dataset?

预测识别效果不大好,请问什么原因。还有请问下,一行字是如何cv2.line的?

我看代码是采用四点标注,请问大佬用的标注工具是什么,还有标注过程种的注意事项

I have seen the results of the CTPN author in [http://rrc.cvc.uab.es/?ch=4&com=evaluation&view=method_info&task=1&m=13930](http://rrc.cvc.uab.es/?ch=4&com=evaluation&view=method_info&task=1&m=13930 ). It seems the result is much higher than yours. Can you explain for this? ![Screenshot from 2019-04-07 07-51-29](https://user-images.githubusercontent.com/37246426/55676992-fd413e80-5909-11e9-93da-d025d8cd5705.png)