We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
作者您好,我在训练CPM时得到如下结果:
配置文件除了路径均无修改,请问可能是哪里出了问题?谢谢!
The text was updated successfully, but these errors were encountered:
你好,感谢你对我们工作的关注。这是由于训练CPM的时候,本身就不会产生有意义的框,所以mAP = 0是正常的。
Sorry, something went wrong.
感谢回复。除此之外,我使用您提供的train_cpm模型权重进行伪框生成后进行detector的训练,mAP最高也只到33.2%,有几个类别的mAP与您提供的log中对应的mAP差距较大,对伪框进行可视化后有如下异常情况出现(绿色为gt,红色为生成的伪框):
请问您可以提供您生成的DOTAv1.0的伪框文件吗,或者请教一下可能是哪里出了问题,感激不尽。(配置文件除了路径和pca_length更改为28均无修改)。祝新年快乐
您好,这里可视化的结果来看,需要把对应类别的thresh3参数调整小一些,比如你可以尝试把thresh3里面的每一个值都调整成原先的2/3或者1/2
至于“生成的DOTAv1.0的伪框文件”,也就是repo中的pseudo label generator,是训练完CPM运行的,没有其他的生成伪框的代码
No branches or pull requests
作者您好,我在训练CPM时得到如下结果:
配置文件除了路径均无修改,请问可能是哪里出了问题?谢谢!
The text was updated successfully, but these errors were encountered: