Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

迭代次数与模型精度 #30

Open
XiaoLaoDi opened this issue Apr 30, 2018 · 5 comments
Open

迭代次数与模型精度 #30

XiaoLaoDi opened this issue Apr 30, 2018 · 5 comments

Comments

@XiaoLaoDi
Copy link

麻烦问下,一般需要迭代到多少次,模型才能看到明显的效果?我们数据集大概350张图片,每个图片大概有15个文字框。现在迭代了200000次了,但是感觉结果还是有问题,文字检测结果很不准确

@mjq11302010044
Copy link
Owner

@XiaoLaoDi 如果数据组织没有问题的话,一般5000轮就能看到效果。请确定你们的参数设置和数据处理是否有问题。

@Tianhg
Copy link

Tianhg commented Jun 14, 2018

@mjq11302010044 我在训练RRPN vgg6 faster_rcnn_end2end的时候,训练集有1000张图,每张图有大概50个文本框,训练过程中模型loss一直在某个区间内震荡,这可能是什么问题?

@happycoding1996
Copy link

@XiaoLaoDi 350张图片感觉数据集比较小,如果质量不高的话,需要的augmentation应该会比较多吧。或许你先用synth预训练会好一些?

@weiyuxingchen
Copy link

batch太小

@yudawen
Copy link

yudawen commented Jul 19, 2019

批量太小

你好,你指的是iter_size吗,我似乎遇到了同样的问题

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

6 participants