change links (#6)

* change links * update python version
openxrlab · Oct 30, 2022 · f8aa535 · f8aa535
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diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
@@ -11,10 +11,10 @@ jobs:
     runs-on: ubuntu-18.04
     steps:
       - uses: actions/checkout@v2
-      - name: Set up Python 3.7
+      - name: Set up Python 3.8
         uses: actions/setup-python@v2
         with:
-          python-version: 3.7
+          python-version: 3.8
       - name: Install pre-commit hook
         run: |
           sudo apt-add-repository ppa:brightbox/ruby-ng -y

diff --git a/README.md b/README.md
@@ -11,7 +11,7 @@
 
 English | [简体中文](README_CN.md)
 
-XRSfM is an open-source SfM codebase. It is a part of the [OpenXRLab](https://openxrlab.com/) project.
+XRSfM is an open-source SfM codebase. It is a part of the [OpenXRLab](https://openxrlab.org.cn/) project.
 A detailed introduction can be found in [introduction.md](docs/en/introduction.md).
 
 ## Citation

diff --git a/README_CN.md b/README_CN.md
@@ -11,7 +11,7 @@
 
 [English](README.md) | [简体中文]
 
-XRSfM 是一个开源的运动恢复结构代码仓库，它是[OpenXRLab](https://openxrlab.com/)项目的一部分.
+XRSfM 是一个开源的运动恢复结构代码仓库，它是[OpenXRLab](https://openxrlab.org.cn/)项目的一部分.
 关于XRSfM更详细的介绍放在[introduction.md](docs/en/introduction.md).
 
 ## Citation
@@ -42,7 +42,7 @@ XRSfM 是一个开源的运动恢复结构代码仓库，它是[OpenXRLab](https
 
 1.参考[installation.md](docs/zh/installation.md)进行安装编译.
 
-2.下载提供的[测试数据](https://openxrlab-share.oss-cn-hongkong.aliyuncs.com/xrsfm/test_data.zip?versionId=CAEQQBiBgMCi_6mllxgiIGI2ZjM1YjE1NjBmNTRmYjc5NzZlMzZkNWY1ZTk1YWFj) 或者按照相同格式准备你自己的数据.
+2.下载提供的[测试数据](https://openxrlab-share-mainland.oss-cn-hangzhou.aliyuncs.com/xrsfm/test_data.zip?versionId=CAEQQBiBgMCi_6mllxgiIGI2ZjM1YjE1NjBmNTRmYjc5NzZlMzZkNWY1ZTk1YWFj) 或者按照相同格式准备你自己的数据.
 
 3.运行以下脚本进行重建:
 ```
@@ -53,7 +53,7 @@ python3 ./scripts/auto_reconstruction.py --workspace_path ${workspace_path}$
 ## Build ARDemo
 
 除了重建功能, OpenXRLab 项目还提供了定位功能。
-你可以构建自己的端云定位ARDemo，更多的信息请查看[ARDemo](http://doc.openxrlab.org.cn/openxrlab_docment/ARDemo/ARdemo.html#).
+你可以构建自己的端云定位ARDemo，更多的信息请查看[ARDemo](http://doc.openxrlab.org.cn/openxrlab_document/ARDemo/ARdemo.html#).
 
 ## License
 本代码库的许可证是[Apache-2.0](LICENSE)。请注意，本许可证仅适用于我们库中的代码，这些代码的依赖项是独立的，并单独许可。我们十分感谢这些依赖项的贡献者。

diff --git a/docs/en/benchmark.md b/docs/en/benchmark.md
@@ -11,7 +11,7 @@ The supported datasets include the sequential dataset [KITTI](http://www.cvlibs.
 ### Data preparation
 
 The KITTI dataset can be download in [link](https://s3.eu-central-1.amazonaws.com/avg-kitti/data_odometry_gray.zip).
-As a necessary input, the image retrieval results can be downloaded from  [link](https://openxrlab-share.oss-cn-hongkong.aliyuncs.com/xrsfm/KITTI.zip?versionId=CAEQQBiBgMCu.KallxgiIGM4MTk2MmJmNDU1YTQzYjBhYTJjZmIyYzQ3YzM2ODIx).
+As a necessary input, the image retrieval results can be downloaded from  [link](https://openxrlab-share-mainland.oss-cn-hangzhou.aliyuncs.com/xrsfm/KITTI.zip?versionId=CAEQQBiBgMCu.KallxgiIGM4MTk2MmJmNDU1YTQzYjBhYTJjZmIyYzQ3YzM2ODIx).
 
 ### Run matching stage
 
@@ -57,7 +57,7 @@ python3 ./scripts/run_kitti_reconstruction.py --data_path /path/dataset/sequence
 ### Data preparation
 
 The 1DSfM dataset can be download from [project web page](https://www.cs.cornell.edu/projects/1dsfm/).
-The image retrieval results and camera intrinsic parameters can be downloaded from the [link](https://openxrlab-share.oss-cn-hongkong.aliyuncs.com/xrsfm/1DSfM.zip?versionId=CAEQQBiBgIDF.KallxgiIDcyNDJmNTM4OWJhNzRlYzdhNDhkZmNjMjQ0YWU0ODA3).
+The image retrieval results and camera intrinsic parameters can be downloaded from the [link](https://openxrlab-share-mainland.oss-cn-hangzhou.aliyuncs.com/xrsfm/1DSfM.zip?versionId=CAEQQBiBgIDF.KallxgiIDcyNDJmNTM4OWJhNzRlYzdhNDhkZmNjMjQ0YWU0ODA3).
 
 ### Run matching
 

diff --git a/docs/en/tutorial.md b/docs/en/tutorial.md
@@ -75,7 +75,7 @@ The program will extract the apriltag from images to calculate the scale, and en
 
 ### Data capture
 
-We provide [the capture application](http://doc.openxrlab.org.cn/openxrlab_docment/ARDemo/ARdemo.html#data-capturer-on-your-phone) to capture images and acquire an accurate camera intrisic parameters at the same time.
+We provide [the capture application](http://doc.openxrlab.org.cn/openxrlab_document/ARDemo/ARdemo.html#data-capturer-on-your-phone) to capture images and acquire an accurate camera intrisic parameters at the same time.
 Users can also use images from other sources.
 However, since XRSfM does not support camera self-calibration currently, users need to provide camera intrisic parameters, which can be obtained by calibration.
 
@@ -84,7 +84,7 @@ However, since XRSfM does not support camera self-calibration currently, users n
 In addition to the above image data and camera intrisic parameters,
 it is recommend to prepare the image retrieval results. .
 This image retrieval function is supported in [XRLocalization](https://github.com/openxrlab/xrlocalization/tree/main/docs/en/tutorials/generate_image_pairs.md).
-Users can also directly download [test data](https://openxrlab-share.oss-cn-hongkong.aliyuncs.com/xrsfm/test_data.zip?versionId=CAEQQBiBgMCi_6mllxgiIGI2ZjM1YjE1NjBmNTRmYjc5NzZlMzZkNWY1ZTk1YWFj) to run the program.
+Users can also directly download [test data](https://openxrlab-share-mainland.oss-cn-hangzhou.aliyuncs.com/xrsfm/test_data.zip?versionId=CAEQQBiBgMCi_6mllxgiIGI2ZjM1YjE1NjBmNTRmYjc5NzZlMzZkNWY1ZTk1YWFj) to run the program.
 
 Before running the reconstruction, you should ensure that there are the following data:
 the input images (images_path),

diff --git a/docs/zh/benchmark.md b/docs/zh/benchmark.md
@@ -10,7 +10,7 @@
 ### 数据准备
 
 KITTI数据集可以从[链接](https://s3.eu-central-1.amazonaws.com/avg-kitti/data_odometry_gray.zip)中下载。
-作为必要的输入，可以从[链接](https://openxrlab-share.oss-cn-hongkong.aliyuncs.com/xrsfm/KITTI.zip?versionId=CAEQQBiBgMCu.KallxgiIGM4MTk2MmJmNDU1YTQzYjBhYTJjZmIyYzQ3YzM2ODIx)下载KITTI数据集的图像检索结果。
+作为必要的输入，可以从[链接](https://openxrlab-share-mainland.oss-cn-hangzhou.aliyuncs.com/xrsfm/KITTI.zip?versionId=CAEQQBiBgMCu.KallxgiIGM4MTk2MmJmNDU1YTQzYjBhYTJjZmIyYzQ3YzM2ODIx)下载KITTI数据集的图像检索结果。
 
 ### 匹配阶段
 
@@ -54,7 +54,7 @@ python3 ./scripts/run_kitti_reconstruction.py --data_path /path/dataset/sequence
 ### 数据准备
 
 1DSfM数据集可以在[项目网页](https://www.cs.cornell.edu/projects/1dsfm/)中下载。
-作为必要的输入，可以从[链接](https://openxrlab-share.oss-cn-hongkong.aliyuncs.com/xrsfm/1DSfM.zip?versionId=CAEQQBiBgIDF.KallxgiIDcyNDJmNTM4OWJhNzRlYzdhNDhkZmNjMjQ0YWU0ODA3)下载1DSfM数据集的图像检索结果和相机内参。
+作为必要的输入，可以从[链接](https://openxrlab-share-mainland.oss-cn-hangzhou.aliyuncs.com/xrsfm/1DSfM.zip?versionId=CAEQQBiBgIDF.KallxgiIDcyNDJmNTM4OWJhNzRlYzdhNDhkZmNjMjQ0YWU0ODA3)下载1DSfM数据集的图像检索结果和相机内参。
 
 ### 匹配阶段
 

diff --git a/docs/zh/tutorial.md b/docs/zh/tutorial.md
@@ -71,12 +71,12 @@ XRSfM支持顺序匹配("sequential")、基于检索的匹配("retrieval")和基
 ## 运行你自己的数据
 
 ### 数据采集
-我们推荐使用[采集工具](http://doc.openxrlab.org.cn/openxrlab_docment/ARDemo/ARdemo.html#data-capturer-on-your-phone)拍摄图像，它会同时获取一个准确的相机内参。
+我们推荐使用[采集工具](http://doc.openxrlab.org.cn/openxrlab_document/ARDemo/ARdemo.html#data-capturer-on-your-phone)拍摄图像，它会同时获取一个准确的相机内参。
 用户也可以使用其他来源的图像，但鉴于当前版本不支持相机自标定，用户需要给出相机内参，这可以由标定得到。
 
 ### 数据准备
 除了上述的图像数据和相机内参外，还需要准备图像的检索结果，这部分功能目前被封装在XRLocation中，详细参见[XRLocalization](https://github.com/openxrlab/xrlocalization/tree/main/docs/en/tutorials/generate_image_pairs.md)。
-用户也可以直接下载[测试数据](https://openxrlab-share.oss-cn-hongkong.aliyuncs.com/xrsfm/test_data.zip?versionId=CAEQQBiBgMCi_6mllxgiIGI2ZjM1YjE1NjBmNTRmYjc5NzZlMzZkNWY1ZTk1YWFj)来运行程序。
+用户也可以直接下载[测试数据](https://openxrlab-share-mainland.oss-cn-hangzhou.aliyuncs.com/xrsfm/test_data.zip?versionId=CAEQQBiBgMCi_6mllxgiIGI2ZjM1YjE1NjBmNTRmYjc5NzZlMzZkNWY1ZTk1YWFj)来运行程序。
 在运行重建前，你应该确保有以下数据：
 存储着图像数据的文件夹（images_path） ，
 检索文件（retrieval_path），