Support NYU v2 dataset (monocular depth estimation task) 支持 NYU v2 数据集（单目深度估计任务）

[OpenMMLab-Assistant-004]

Support NYU v2 dataset (monocular depth estimation task)

支持 NYU v2 数据集（单目深度估计任务）

As a basis for MMSegmentation to support the depth estimation task, we need to support a dataset for the depth estimation task, and the work that needs to be implemented includes adding the dataset document, the dataset processing script (if any), the dataset class, and the corresponding data enhancement methods.

• Reference implementation

作为 MMSegmentation 支持深度估计任务的基础，我们需要支持一个深度估计任务的数据集，需要实现的工作包括添加数据集文档，数据集处理脚本（如果有的话），数据集类以及对应的数据增强方法。

• 参考实现

Task Information

Repository：MMSegmentation

Difficulty：Medium

Points：40

Estimated Time Consumption：28 days

Task Status

Claimant's Github ID：None

Claim Time：None

PR Link：None

Points to Note

To claim the task, please reply Claim the mission in the comment section. After claiming the task, please add our assistant bot called MeowMewo on WeChat at: openmmlabwx.

After completing the task, please submit a PR with the title starting with [MMSIG]. After submission, please reply with your PR link in the comments section of this Discussion. We will review your work as soon as possible.

在评论区回复 Claim the mission 领取任务，领取任务后请及时添加小助手喵喵微信: openmmlabwx

完成任务后提交相关链接（如是PR，标题请以[MMSIG]开头）回复到本Disucssion评论区，我们会第一时间审核您的贡献。