In the classification loss, let the image ignore region not participate in the loss calculation, that is, not contribute to the classification loss

[eorroot]

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• I have read the README carefully. 我已经仔细阅读了README上的操作指引。

• I want to train my custom dataset, and I have read the tutorials for training your custom data carefully and organize my dataset correctly; (FYI: We recommand you to apply the config files of xx_finetune.py.) 我想训练自定义数据集，我已经仔细阅读了训练自定义数据的教程，以及按照正确的目录结构存放数据集。（FYI: 我们推荐使用xx_finetune.py等配置文件训练自定义数据集。）

• I have pulled the latest code of main branch to run again and the problem still existed. 我已经拉取了主分支上最新的代码，重新运行之后，问题仍不能解决。

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Question

I believe the code style of V6 is excellent for developers and represents a valuable open-source project. I am interested in starting a research project based on V6 for a specific task involving the treatment of image neglected regions. These neglected regions do not contribute when calculating the classification loss. I have already marked the ignored regions with mask tags, but I am encountering problems with the loss function. I would appreciate any assistance your team can provide to help me resolve this issue.

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