圆锥香蕉 Lv99 进行了留言

@小拉 好的谢谢，我之前尝试下载了，但是说我没有权限，我再试试，谢谢你

没有出现任何权限问题，你只需要弄个梯子，若不是虚拟网卡代理记得给终端上HTTP_PROXY和HTTPS_PROXY环境变量（不同系统略有差别）

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圆锥香蕉 Lv99 进行了留言

@小拉 好的谢谢，我之前尝试下载了，但是说我没有权限，我再试试，谢谢你

本地的尝试是可以的，gsutil通过pip装，我这边不挂梯子下载不动，挂了梯子可以正常下载，输出如下：
At source listing 10000...
At source listing 20000...
At source listing 30000...
Starting synchronization...
If you experience problems with multiprocessing on MacOS, they might be related to https://bugs.python.org/issue33725 . You can disable multiprocessing by editing your .boto config or by adding the following flag to your command: `-o "GSUtil:parallel_process_count=1"`. Note that multithreading is still available even if you disable multiprocessing.

Copying gs://sen1floods11/v1.1/catalog/sen1floods11_hand_labeled_label/Ghana_141910_label/Ghana_141910_label.json...

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小拉 Lv12 求助人 进行了留言

@圆锥香蕉 自己下吧，github上都有项目说明的，给个20分不太可能有人愿意给你弄下来。下载教程给你复制过来了

Dataset Access

The dataset is available for access through Google Cloud Storage bucket at: gs://senfloods11/

You can access the dataset bucket using the gsutil command line tool. If you would like to download the entire dataset (~14 GB) you can use gsutil rsync to clone the bucket to a local directory. The -m flag is recommended to speed downloads. The -r flag will download sub-directories and folder recursively. See the example below.

$ gsutil -m rsync -r gs://sen1floods11 /YOUR/LOCAL/DIRECTORY/HERE
If using an example notebook, you can download the dataset to the folder that notebooks expect it to be in by running

$ mkdir /home/files
$ gsutil -m rsync -r gs://sen1floods11 /home/files

好的谢谢，我之前尝试下载了，但是说我没有权限，我再试试，谢谢你

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圆锥香蕉 Lv99 进行了留言

github页面：https://github.com/cloudtostreet/Sen1Floods11

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圆锥香蕉 Lv99 进行了留言

自己下吧，github上都有项目说明的，给个20分不太可能有人愿意给你弄下来。下载教程给你复制过来了

Dataset Access

The dataset is available for access through Google Cloud Storage bucket at: gs://senfloods11/

You can access the dataset bucket using the gsutil command line tool. If you would like to download the entire dataset (~14 GB) you can use gsutil rsync to clone the bucket to a local directory. The -m flag is recommended to speed downloads. The -r flag will download sub-directories and folder recursively. See the example below.

$ gsutil -m rsync -r gs://sen1floods11 /YOUR/LOCAL/DIRECTORY/HERE
If using an example notebook, you can download the dataset to the folder that notebooks expect it to be in by running

$ mkdir /home/files
$ gsutil -m rsync -r gs://sen1floods11 /home/files

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小拉 Lv12 求助人 驳回了 Adore 上传的文件

说明

文件不一致

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小拉 Lv12 求助人 进行了留言

@Adore Sen1Floods11-master.zip (4.14 MB)

我想要原始数据，14g的

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Adore Lv715 上传了文件

已驳回 Sen1Floods11-master.zip (4.14 MB) 回复

小拉 Lv12 求助人 进行了留言

求帮忙下载该数据集

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科研通AI2.0 机器人 机器人暂不支持补充材料下载，请等待人工应助

10:27:05 机器人暂不支持补充材料下载，请等待人工应助

小拉 Lv12 求助人 发起了本次求助