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
您好,VOC AP值应该与recall和precision以及F1保持同样的置信度阈值,不会设置两套置信度阈值的,经典网络和经典论文中都是这样计算的。如果设置两个置信度阈值,就像注释中所述将第一个阈值设置得非常低,得到一个较高的AP值,而将第二个置信度阈值设置为一个合理的值,得到较为合适的recall,precision和F1。个人认为这样有作弊之嫌,有损学术风气~望深思
The text was updated successfully, but these errors were encountered:
额,说清前提就没有损学术风气,不清不楚才有损学术风气,如果不说条件的话,很多结果是没有任何参考价值的
Sorry, something went wrong.
请问一下您知道如何修改代码将置信度阈值保持一致吗?
mAP本来就应该要考虑所有的预测框,置信度高和低都需要考虑,无需修改
No branches or pull requests
您好,VOC AP值应该与recall和precision以及F1保持同样的置信度阈值,不会设置两套置信度阈值的,经典网络和经典论文中都是这样计算的。如果设置两个置信度阈值,就像注释中所述将第一个阈值设置得非常低,得到一个较高的AP值,而将第二个置信度阈值设置为一个合理的值,得到较为合适的recall,precision和F1。个人认为这样有作弊之嫌,有损学术风气~望深思
The text was updated successfully, but these errors were encountered: