fix: docs url (#4877)

Co-authored-by: William Schmitt <william.schmitt@probayes.com>
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William Schmitt 4 years ago committed by GitHub
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@ -21,21 +21,21 @@ organizations around the world to solve real problems using the Data-centric
AI approach.
Start using CVAT online for free: [cvat.ai](https://cvat.ai). Or set it up as a self-hosted solution:
[read here](https://cvat-ai.github.io/cvat/docs/administration/basics/installation/).
[read here](https://opencv.github.io/cvat/docs/administration/basics/installation/).
![CVAT screencast](site/content/en/images/cvat-ai-screencast.gif)
## Quick start ⚡
- [Installation guide](https://cvat-ai.github.io/cvat/docs/administration/basics/installation/)
- [Manual](https://cvat-ai.github.io/cvat/docs/manual/)
- [Contributing](https://cvat-ai.github.io/cvat/docs/contributing/)
- [Django REST API documentation](https://cvat-ai.github.io/cvat/docs/administration/basics/rest_api_guide/)
- [Installation guide](https://opencv.github.io/cvat/docs/administration/basics/installation/)
- [Manual](https://opencv.github.io/cvat/docs/manual/)
- [Contributing](https://opencv.github.io/cvat/docs/contributing/)
- [Django REST API documentation](https://opencv.github.io/cvat/docs/administration/basics/rest_api_guide/)
- [Datumaro dataset framework](https://github.com/cvat-ai/datumaro/blob/develop/README.md)
- [Command line interface](https://cvat-ai.github.io/cvat/docs/manual/advanced/cli/)
- [XML annotation format](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/)
- [AWS Deployment Guide](https://cvat-ai.github.io/cvat/docs/administration/basics/aws-deployment-guide/)
- [Frequently asked questions](https://cvat-ai.github.io/cvat/docs/faq/)
- [Command line interface](https://opencv.github.io/cvat/docs/manual/advanced/cli/)
- [XML annotation format](https://opencv.github.io/cvat/docs/manual/advanced/xml_format/)
- [AWS Deployment Guide](https://opencv.github.io/cvat/docs/administration/basics/aws-deployment-guide/)
- [Frequently asked questions](https://opencv.github.io/cvat/docs/faq/)
- [Where to ask questions](#where-to-ask-questions)
## Partners ❤️
@ -71,7 +71,7 @@ This is an online version of CVAT. It's free, efficient, and easy to use.
to 10 tasks there and upload up to 500Mb of data to annotate. It will only be
visible to you or people you assign to it.
For now, it does not have [analytics features](https://cvat-ai.github.io/cvat/docs/administration/advanced/analytics/)
For now, it does not have [analytics features](https://opencv.github.io/cvat/docs/administration/advanced/analytics/)
like management and monitoring the data annotation team.
We plan to enhance [cvat.ai](https://cvat.ai) with new powerful features. Stay tuned!
@ -87,7 +87,7 @@ The images have been downloaded more than 1M times so far.
## REST API
CVAT has a REST API: [documentation](https://cvat-ai.github.io/cvat/docs/administration/basics/rest_api_guide/).
CVAT has a REST API: [documentation](https://opencv.github.io/cvat/docs/administration/basics/rest_api_guide/).
Its current version is `2.0-alpha`. We focus on its improvement, and the API may be changed in the next releases.
## Screencasts 🎦
@ -112,14 +112,14 @@ dataset framework allows additional dataset transformations via its command
line tool and Python library.
For more information about the supported formats, look at the
[documentation](https://cvat-ai.github.io/cvat/docs/manual/advanced/formats/).
[documentation](https://opencv.github.io/cvat/docs/manual/advanced/formats/).
<!--lint disable maximum-line-length-->
| Annotation format | Import | Export |
| --------------------------------------------------------------------------------------------------------- | ------ | ------ |
| [CVAT for images](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#annotation) | ✔️ | ✔️ |
| [CVAT for a video](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#interpolation) | ✔️ | ✔️ |
| [CVAT for images](https://opencv.github.io/cvat/docs/manual/advanced/xml_format/#annotation) | ✔️ | ✔️ |
| [CVAT for a video](https://opencv.github.io/cvat/docs/manual/advanced/xml_format/#interpolation) | ✔️ | ✔️ |
| [Datumaro](https://github.com/cvat-ai/datumaro) | | ✔️ |
| [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | ✔️ | ✔️ |
| Segmentation masks from [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | ✔️ | ✔️ |

@ -36,5 +36,5 @@ yarn run build
yarn run build --mode=development # without a minification
```
Important: You also have to run CVAT REST API server (please read `https://cvat-ai.github.io/cvat/docs/contributing/`)
Important: You also have to run CVAT REST API server (please read `https://opencv.github.io/cvat/docs/contributing/`)
to correct working since UI gets all necessary data (tasks, users, annotations) from there

@ -80,7 +80,7 @@ export default function ManifestsManager(props: Props): JSX.Element {
type='link'
target='_blank'
className='cvat-cloud-storage-help-button'
href='https://cvat-ai.github.io/cvat/docs/manual/advanced/dataset_manifest/'
href='https://opencv.github.io/cvat/docs/manual/advanced/dataset_manifest/'
>
<QuestionCircleOutlined />
</Button>

@ -11,11 +11,11 @@ const GITTER_PUBLIC_URL = 'https://gitter.im/opencv-cvat/public';
const FORUM_URL = 'https://software.intel.com/en-us/forums/intel-distribution-of-openvino-toolkit';
const GITHUB_URL = 'https://github.com/cvat-ai/cvat';
const GITHUB_IMAGE_URL = 'https://github.com/cvat-ai/cvat/raw/develop/site/content/en/images/cvat.jpg';
const GUIDE_URL = 'https://cvat-ai.github.io/cvat/docs';
const GUIDE_URL = 'https://opencv.github.io/cvat/docs';
const SHARE_MOUNT_GUIDE_URL =
'https://cvat-ai.github.io/cvat/docs/administration/basics/installation/#share-path';
'https://opencv.github.io/cvat/docs/administration/basics/installation/#share-path';
const NUCLIO_GUIDE =
'https://cvat-ai.github.io/cvat//docs/administration/advanced/installation_automatic_annotation/';
'https://opencv.github.io/cvat//docs/administration/advanced/installation_automatic_annotation/';
const CANVAS_BACKGROUND_COLORS = ['#ffffff', '#f1f1f1', '#e5e5e5', '#d8d8d8', '#CCCCCC', '#B3B3B3', '#999999'];
const NEW_LABEL_COLOR = '#b3b3b3';
const LATEST_COMMENTS_SHOWN_QUICK_ISSUE = 3;

@ -535,7 +535,7 @@ SPECTACULAR_SETTINGS = {
'TOS': 'https://www.google.com/policies/terms/',
'EXTERNAL_DOCS': {
'description': 'CVAT documentation',
'url': 'https://cvat-ai.github.io/cvat/docs/',
'url': 'https://opencv.github.io/cvat/docs/',
},
# OTHER SETTINGS
# https://drf-spectacular.readthedocs.io/en/latest/settings.html

@ -5,4 +5,4 @@
This folder contains some useful utilities for Computer Vision Annotation Tool (CVAT).
To read about a certain utility please choose a link:
- [Command line interface for working with CVAT tasks](https://cvat-ai.github.io/cvat/docs/manual/advanced/cli/)
- [Command line interface for working with CVAT tasks](https://opencv.github.io/cvat/docs/manual/advanced/cli/)

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