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@eragonruan i use k40 Demo for /home/zhoulinyuan/project/text-detection-ctpn/data/demo/001.jpg Detection took 1.486s for 7 object proposals ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Demo for /home/zhoulinyuan/project/text-detection-ctpn/data/demo/002.jpg Detection took 1.524s for 7 object proposals ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Demo for /home/zhoulinyuan/project/text-detection-ctpn/data/demo/003.jpg Detection...

@whai362 Random sample may be cut off text lines, does this have no effect?

@whai362 I see, then when calculating labels, you calculate them on the original image, or you calculate the intersection point with the edge, then calculate the labels?

i use fpn as your done, but the result is bad. as far as you know, how much can FPN improve?

all we need is a segmentation result,kernel and the algorithm of expanding. ---------------------------------------------------------------------------------------------------------- your paper said: The backbone of PSENet is implemented from FPN, F = C(P 2 , P...

https://github.com/kpzhang93/MTCNN_face_detection_alignment/tree/master/code/codes/MTCNNv2 这个里面有的呀

应该在train-mtcnn发问题,发错地方了,它输入是24*24,这个还很重量级么,没有理解你的意思,能否测试一下精度,比如lfpw,test中有249张图片,能够告知mail么

> 那个模型有3M多 这个应该不算大吧,相对你其他的版本

模型名称 | 输入尺寸 | 计算量 | 训练时L2 | 训练时L1 | 备注 -- | -- | -- | -- | -- | -- Lnet_v1 | 48x48 | 3.8 M | 约0.0021...