Comments (4)
如果您还有什么问题,欢迎联系我。如果您觉得有帮助并给个Star,我竟感激不尽,谢谢!
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可参考原文表5,每推理100万像素图片(包括IO),默认配置下DocDiff(Non-native)-5耗时0.33秒,DocDiff(Non-native)-100耗时5.69秒,MPRNet耗时0.57秒,DE-GAN耗时0.82秒。总体来说,DocDiff-5速度还是很可观的,因为DocDiff的HRR模块只有4M,即使采样5次但是计算时间复杂度也很低。但是DocDiff-100速度还是很慢的。不过,DocDiff在文档图像上的训练十分稳定。如果跑过DE-GAN的官方代码,可以知道GAN方法很难收敛。
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请问一下推理时长有测过么,和有和Gan对比过嘛?
Demo下有notebook,您可以自己测一测速度
from docdiff.
可参考原文表5,每推理100万像素图片(包括IO),默认配置下DocDiff(Non-native)-5耗时0.33秒,DocDiff(Non-native)-100耗时5.69秒,MPRNet耗时0.57秒,DE-GAN耗时0.82秒。总体来说,DocDiff-5速度还是很可观的,因为DocDiff的HRR模块只有4M,即使采样5次但是计算时间复杂度也很低。但是DocDiff-100速度还是很慢的。不过,DocDiff在文档图像上的训练十分稳定。如果跑过DE-GAN的官方代码,可以知道GAN方法很难收敛。
单张3090
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Related Issues (20)
- License
- Inference on variable image size HOT 2
- 去印章的预训练模型 HOT 3
- Code for the synthetic dataset HOT 2
- watermark removal HOT 2
- 训练集规模以及学习率 HOT 2
- 有关梯度回传的问题 HOT 2
- Questions about data HOT 1
- 增加有更多噪声的数据集 HOT 5
- About config.PRE_ORI HOT 5
- 图片降噪问题 HOT 6
- Model deployment issue HOT 1
- 您好,火眼OCR APP的redirect_uri参数错误
- 关于论文里扩散学习的优化目标问题 HOT 1
- 您好,看到文档里没有提及印章去除模型的推理,若想使用该功能该如何修改源代码 HOT 1
- 关于去除印章数据集背景选取的问题 HOT 2
- 尊敬的作者您好!我想请问一下关于去模糊数据集的划分问题 HOT 2
- 关于图片的输入大小 HOT 3
- 请教一下训练时长 HOT 7
- License HOT 2
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