对于模型v1,使用的损失函数是loss = (losses["loss"] * weights + losses['loss_cal'] * 10).mean()？以及在segmentation_sample.py文件中，debug时，输出的第一张图片(ss)是怎么的来的，以及使用的是前面的损失函数吗？ 输出的最后一张图片(c)是怎么的来的 是使用loss_cal的损失函数计算得来的吗？ 希望有人能解答一下 #432
LiuYM00Annotations
2 warnings
|
build
ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
|
|
build
The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
|