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 #433

	name: 'issue-translator'
	on:
	issue_comment:
	types: [created]
	issues:
	types: [opened]

	jobs:
	build:
	runs-on: ubuntu-latest
	steps:
	- uses: usthe/[email protected]
	with:
	IS_MODIFY_TITLE: false
	# not require, default false, . Decide whether to modify the issue title
	# if true, the robot account @Issues-translate-bot must have modification permissions, invite @Issues-translate-bot to your project or use your custom bot.
	CUSTOM_BOT_NOTE: Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿
	# not require. Customize the translation robot prefix message.

Provide feedback