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,训练模型过程中,验证结果除IOU:0.5外,其他评估标准的结果全为0。 我找到的导致这现象的原因是字典_preds_里的值为空,请问怎么解决该问题
The text was updated successfully, but these errors were encountered:
参考 #5
Sorry, something went wrong.
参考#5 你好,我在调试代码时发现,tbrec_model.py中test函数里cls_pred_score的值会经常出现为nan的情况,这nan值最终可以追溯到参数pdl、pdt为0并做了分母,这种情况是正常的么?程序并没有报错。
你好,你训练用的预训练模型是在哪下的?我看作者提供的下载链接下载的是训练好的模型
No branches or pull requests
您好,训练模型过程中,验证结果除IOU:0.5外,其他评估标准的结果全为0。
我找到的导致这现象的原因是字典_preds_里的值为空,请问怎么解决该问题
The text was updated successfully, but these errors were encountered: