sshan-zhao / GASDA

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation, CVPR 2019
133 stars 23 forks source link

about dataset #20

Open Sun-Happy-YKX opened 2 years ago

Sun-Happy-YKX commented 2 years ago

I am interested in the job and I think it is interesting. But I have some trouble about the datasets.Following your prompts I went to http://www.cvlibs.net/datasets/kitti/raw_data.php and https://europe.naverlabs.com/Research/Computer-Vision/Proxy-Virtual-Worlds/ to search for the required The downloaded data, but he has many download options, I don't know which data to choose for model training (I don't know if the website has been updated recently, so there are many more options), if you can, please trouble you Directly update the URL to the file download link, I believe that your hard work can bring us more contributions. image image

sshan-zhao commented 2 years ago

For kitti, you could use the 'raw dataset download script'. For vkitti, I used the version 1, and download the rgb and depth map.

Sun-Happy-YKX commented 2 years ago

这是来自QQ邮箱的假期自动回复邮件。   您好,我最近正在休假中,无法亲自回复您的邮件。我将在假期结束后,尽快给您回复。

Sun-Happy-YKX commented 2 years ago

thinks for reply!

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年3月28日(星期一) 晚上6:39 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [sshan-zhao/GASDA] about dataset (Issue #20)

For kitti, you could use the 'raw dataset download script'. For vkitti, I used the version 1, and download the rgb and depth map.

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