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30
README.md
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@ -17,15 +17,15 @@ annotation team. Try it online [cvat.org](https://cvat.org).
## Documentation ## Documentation
- [Contributing](https://openvinotoolkit.github.io/cvat/docs/contributing/) - [Contributing](https://cvat-ai.github.io/cvat/docs/contributing/)
- [Installation guide](https://openvinotoolkit.github.io/cvat/docs/administration/basics/installation/) - [Installation guide](https://cvat-ai.github.io/cvat/docs/administration/basics/installation/)
- [Manual](https://openvinotoolkit.github.io/cvat/docs/manual/) - [Manual](https://cvat-ai.github.io/cvat/docs/manual/)
- [Django REST API documentation](https://openvinotoolkit.github.io/cvat/docs/administration/basics/rest_api_guide/) - [Django REST API documentation](https://cvat-ai.github.io/cvat/docs/administration/basics/rest_api_guide/)
- [Datumaro dataset framework](https://github.com/openvinotoolkit/datumaro/blob/develop/README.md) - [Datumaro dataset framework](https://github.com/cvat-ai/datumaro/blob/develop/README.md)
- [Command line interface](https://openvinotoolkit.github.io/cvat/docs/manual/advanced/cli/) - [Command line interface](https://cvat-ai.github.io/cvat/docs/manual/advanced/cli/)
- [XML annotation format](https://openvinotoolkit.github.io/cvat/docs/manual/advanced/xml_format/) - [XML annotation format](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/)
- [AWS Deployment Guide](https://openvinotoolkit.github.io/cvat/docs/administration/basics/aws-deployment-guide/) - [AWS Deployment Guide](https://cvat-ai.github.io/cvat/docs/administration/basics/aws-deployment-guide/)
- [Frequently asked questions](https://openvinotoolkit.github.io/cvat/docs/faq/) - [Frequently asked questions](https://cvat-ai.github.io/cvat/docs/faq/)
- [Questions](#questions) - [Questions](#questions)
## Screencasts ## Screencasts
@ -43,20 +43,20 @@ annotation team. Try it online [cvat.org](https://cvat.org).
## Supported annotation formats ## Supported annotation formats
Format selection is possible after clicking on the Upload annotation and Dump Format selection is possible after clicking on the Upload annotation and Dump
annotation buttons. [Datumaro](https://github.com/openvinotoolkit/datumaro) annotation buttons. [Datumaro](https://github.com/cvat-ai/datumaro)
dataset framework allows additional dataset transformations via its command dataset framework allows additional dataset transformations via its command
line tool and Python library. line tool and Python library.
For more information about supported formats look at the For more information about supported formats look at the
[documentation](https://openvinotoolkit.github.io/cvat/docs/manual/advanced/formats/). [documentation](https://cvat-ai.github.io/cvat/docs/manual/advanced/formats/).
<!--lint disable maximum-line-length--> <!--lint disable maximum-line-length-->
| Annotation format | Import | Export | | Annotation format | Import | Export |
| --------------------------------------------------------------------------------------------------------- | ------ | ------ | | --------------------------------------------------------------------------------------------------------- | ------ | ------ |
| [CVAT for images](https://openvinotoolkit.github.io/cvat/docs/manual/advanced/xml_format/#annotation) | X | X | | [CVAT for images](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#annotation) | X | X |
| [CVAT for a video](https://openvinotoolkit.github.io/cvat/docs/manual/advanced/xml_format/#interpolation) | X | X | | [CVAT for a video](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#interpolation) | X | X |
| [Datumaro](https://github.com/openvinotoolkit/datumaro) | | X | | [Datumaro](https://github.com/cvat-ai/datumaro) | | X |
| [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | X | X | | [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | X | X |
| Segmentation masks from [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | X | X | | Segmentation masks from [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | X | X |
| [YOLO](https://pjreddie.com/darknet/yolo/) | X | X | | [YOLO](https://pjreddie.com/darknet/yolo/) | X | X |
@ -110,7 +110,7 @@ are visible to users.
Disabled features: Disabled features:
- [Analytics: management and monitoring of data annotation team](https://openvinotoolkit.github.io/cvat/docs/administration/advanced/analytics/) - [Analytics: management and monitoring of data annotation team](https://cvat-ai.github.io/cvat/docs/administration/advanced/analytics/)
Limitations: Limitations:

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cvat-cli/setup.py
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@ -48,7 +48,7 @@ setup(
description="Command-line client for CVAT", description="Command-line client for CVAT",
long_description=long_description, long_description=long_description,
long_description_content_type="text/markdown", long_description_content_type="text/markdown",
url="https://github.com/openvinotoolkit/cvat/", url="https://github.com/cvat-ai/cvat/",
package_dir={"": "src"}, package_dir={"": "src"},
packages=find_packages(where="src"), packages=find_packages(where="src"),
classifiers=[ classifiers=[

2
cvat-ui/README.md
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@ -36,5 +36,5 @@ yarn run build
yarn run build --mode=development # without a minification yarn run build --mode=development # without a minification
``` ```
Important: You also have to run CVAT REST API server (please read `https://openvinotoolkit.github.io/cvat/docs/contributing/`) Important: You also have to run CVAT REST API server (please read `https://cvat-ai.github.io/cvat/docs/contributing/`)
to correct working since UI gets all necessary data (tasks, users, annotations) from there to correct working since UI gets all necessary data (tasks, users, annotations) from there

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

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cvat-ui/src/consts.ts
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@ -4,18 +4,18 @@
const UNDEFINED_ATTRIBUTE_VALUE = '__undefined__'; const UNDEFINED_ATTRIBUTE_VALUE = '__undefined__';
const NO_BREAK_SPACE = '\u00a0'; const NO_BREAK_SPACE = '\u00a0';
const CHANGELOG_URL = 'https://github.com/openvinotoolkit/cvat/blob/develop/CHANGELOG.md'; const CHANGELOG_URL = 'https://github.com/cvat-ai/cvat/blob/develop/CHANGELOG.md';
const LICENSE_URL = 'https://github.com/openvinotoolkit/cvat/blob/develop/LICENSE'; const LICENSE_URL = 'https://github.com/cvat-ai/cvat/blob/develop/LICENSE';
const GITTER_URL = 'https://gitter.im/opencv-cvat'; const GITTER_URL = 'https://gitter.im/opencv-cvat';
const GITTER_PUBLIC_URL = 'https://gitter.im/opencv-cvat/public'; 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 FORUM_URL = 'https://software.intel.com/en-us/forums/intel-distribution-of-openvino-toolkit';
const GITHUB_URL = 'https://github.com/openvinotoolkit/cvat'; const GITHUB_URL = 'https://github.com/cvat-ai/cvat';
const GITHUB_IMAGE_URL = 'https://github.com/openvinotoolkit/cvat/raw/develop/site/content/en/images/cvat.jpg'; const GITHUB_IMAGE_URL = 'https://github.com/cvat-ai/cvat/raw/develop/site/content/en/images/cvat.jpg';
const GUIDE_URL = 'https://openvinotoolkit.github.io/cvat/docs'; const GUIDE_URL = 'https://cvat-ai.github.io/cvat/docs';
const SHARE_MOUNT_GUIDE_URL = const SHARE_MOUNT_GUIDE_URL =
'https://openvinotoolkit.github.io/cvat/docs/administration/basics/installation/#share-path'; 'https://cvat-ai.github.io/cvat/docs/administration/basics/installation/#share-path';
const NUCLIO_GUIDE = const NUCLIO_GUIDE =
'https://openvinotoolkit.github.io/cvat//docs/administration/advanced/installation_automatic_annotation/'; 'https://cvat-ai.github.io/cvat//docs/administration/advanced/installation_automatic_annotation/';
const CANVAS_BACKGROUND_COLORS = ['#ffffff', '#f1f1f1', '#e5e5e5', '#d8d8d8', '#CCCCCC', '#B3B3B3', '#999999']; const CANVAS_BACKGROUND_COLORS = ['#ffffff', '#f1f1f1', '#e5e5e5', '#d8d8d8', '#CCCCCC', '#B3B3B3', '#999999'];
const NEW_LABEL_COLOR = '#b3b3b3'; const NEW_LABEL_COLOR = '#b3b3b3';
const LATEST_COMMENTS_SHOWN_QUICK_ISSUE = 3; const LATEST_COMMENTS_SHOWN_QUICK_ISSUE = 3;

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cvat/settings/base.py
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@ -534,7 +534,7 @@ SPECTACULAR_SETTINGS = {
'TOS': 'https://www.google.com/policies/terms/', 'TOS': 'https://www.google.com/policies/terms/',
'EXTERNAL_DOCS': { 'EXTERNAL_DOCS': {
'description': 'CVAT documentation', 'description': 'CVAT documentation',
'url': 'https://openvinotoolkit.github.io/cvat/docs/', 'url': 'https://cvat-ai.github.io/cvat/docs/',
}, },
# OTHER SETTINGS # OTHER SETTINGS
# https://drf-spectacular.readthedocs.io/en/latest/settings.html # https://drf-spectacular.readthedocs.io/en/latest/settings.html

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package.json
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@ -113,14 +113,14 @@
}, },
"repository": { "repository": {
"type": "git", "type": "git",
"url": "git+https://github.com/openvinotoolkit/cvat.git" "url": "git+https://github.com/cvat-ai/cvat.git"
}, },
"author": "Intel", "author": "Intel",
"license": "MIT", "license": "MIT",
"bugs": { "bugs": {
"url": "https://github.com/openvinotoolkit/cvat/issues" "url": "https://github.com/cvat-ai/cvat/issues"
}, },
"homepage": "https://github.com/openvinotoolkit/cvat#readme", "homepage": "https://github.com/cvat-ai/cvat#readme",
"resolutions": { "resolutions": {
"@types/react": "^17.0.30", "@types/react": "^17.0.30",
"@types/react-dom": "^18.0.5", "@types/react-dom": "^18.0.5",

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serverless/openvino/dextr/nuclio/function.yaml
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@ -7,7 +7,7 @@ metadata:
spec: spec:
framework: openvino framework: openvino
min_pos_points: 4 min_pos_points: 4
animated_gif: https://raw.githubusercontent.com/openvinotoolkit/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/dextr_example.gif animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/dextr_example.gif
help_message: The interactor allows to get a mask of an object using its extreme points (more or equal than 4). You can add a point left-clicking the image help_message: The interactor allows to get a mask of an object using its extreme points (more or equal than 4). You can add a point left-clicking the image
spec: spec:

2
serverless/pytorch/saic-vul/fbrs/nuclio/function.yaml
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@ -8,7 +8,7 @@ metadata:
framework: pytorch framework: pytorch
min_pos_points: 1 min_pos_points: 1
min_neg_points: 0 min_neg_points: 0
animated_gif: https://raw.githubusercontent.com/openvinotoolkit/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/fbrs_example.gif animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/fbrs_example.gif
help_message: The interactor allows to get a mask for an object using positive points, and negative points help_message: The interactor allows to get a mask for an object using positive points, and negative points
spec: spec:

2
serverless/pytorch/saic-vul/hrnet/nuclio/function-gpu.yaml
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@ -8,7 +8,7 @@ metadata:
framework: pytorch framework: pytorch
min_pos_points: 1 min_pos_points: 1
min_neg_points: 0 min_neg_points: 0
animated_gif: https://raw.githubusercontent.com/openvinotoolkit/cvat/develop/site/content/en/images/hrnet_example.gif animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/develop/site/content/en/images/hrnet_example.gif
help_message: The interactor allows to get a mask for an object using positive points, and negative points help_message: The interactor allows to get a mask for an object using positive points, and negative points
spec: spec:

2
serverless/pytorch/shiyinzhang/iog/nuclio/function.yaml
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@ -9,7 +9,7 @@ metadata:
min_pos_points: 1 min_pos_points: 1
min_neg_points: 0 min_neg_points: 0
startswith_box: true startswith_box: true
animated_gif: https://raw.githubusercontent.com/openvinotoolkit/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/iog_example.gif animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/iog_example.gif
help_message: The interactor allows to get a mask of an object using its wrapping boundig box, positive, and negative points inside it help_message: The interactor allows to get a mask of an object using its wrapping boundig box, positive, and negative points inside it
spec: spec:

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site/config.toml
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@ -52,7 +52,7 @@ anchor = "smart"
[[menu.main]] [[menu.main]]
name = "GitHub" name = "GitHub"
weight = 60 weight = 60
url = "https://github.com/openvinotoolkit/cvat" url = "https://github.com/cvat-ai/cvat"
pre = "<i class='fab fa-github'></i>" pre = "<i class='fab fa-github'></i>"
[services] [services]
@ -113,9 +113,9 @@ version = "0.0"
url_latest_version = "https://example.com" url_latest_version = "https://example.com"
# Repository configuration (URLs for in-page links to opening issues and suggesting changes) # Repository configuration (URLs for in-page links to opening issues and suggesting changes)
github_repo = "https://github.com/openvinotoolkit/cvat" github_repo = "https://github.com/cvat-ai/cvat"
# An optional link to a related project repo. For example, the sibling repository where your product code lives. # An optional link to a related project repo. For example, the sibling repository where your product code lives.
github_project_repo = "https://github.com/openvinotoolkit/cvat" github_project_repo = "https://github.com/cvat-ai/cvat"
# Specify a value here if your content directory is not in your repo's root directory # Specify a value here if your content directory is not in your repo's root directory
github_subdir = "site" github_subdir = "site"
@ -186,7 +186,7 @@ enable = false
# Developer relevant links. These will show up on right side of footer and in the community page if you have one. # Developer relevant links. These will show up on right side of footer and in the community page if you have one.
[[params.links.developer]] [[params.links.developer]]
name = "GitHub" name = "GitHub"
url = "https://github.com/openvinotoolkit/cvat" url = "https://github.com/cvat-ai/cvat"
icon = "fab fa-github" icon = "fab fa-github"
desc = "Development takes place here!" desc = "Development takes place here!"
[[params.links.developer]] [[params.links.developer]]

2
site/content/en/about/_index.html
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@ -144,7 +144,7 @@ menu:
We have is a separate <a href="https://gitter.im/opencv-cvat/dev">Gitter chat for developers</a> to discuss the development of CVAT. We have is a separate <a href="https://gitter.im/opencv-cvat/dev">Gitter chat for developers</a> to discuss the development of CVAT.
</li> </li>
<li> <li>
Visit our <a href="https://github.com/openvinotoolkit/cvat">GitHub</a> repository. Visit our <a href="https://github.com/cvat-ai/cvat">GitHub</a> repository.
</li> </li>
</ul> </ul>
</div> </div>

2
site/content/en/docs/_index.md
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@ -32,7 +32,7 @@ Answers to frequently asked questions.
{{% /blocks/feature %}} {{% /blocks/feature %}}
{{% blocks/feature icon="fab fa-github" title="[GitHub Repository](https://github.com/openvinotoolkit/cvat)" %}} {{% blocks/feature icon="fab fa-github" title="[GitHub Repository](https://github.com/cvat-ai/cvat)" %}}
Computer Vision Annotation Tool GitHub repository. Computer Vision Annotation Tool GitHub repository.

2
site/content/en/docs/administration/advanced/analytics.md
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@ -5,7 +5,7 @@
title: 'Installation Analytics' title: 'Installation Analytics'
linkTitle: 'Installation Analytics' linkTitle: 'Installation Analytics'
weight: 2 weight: 2
description: 'Instructions for deployment and customization of Analytics. This section on [GitHub](https://github.com/openvinotoolkit/cvat/tree/develop/components/analytics).' description: 'Instructions for deployment and customization of Analytics. This section on [GitHub](https://github.com/cvat-ai/cvat/tree/develop/components/analytics).'
--- ---

6
site/content/en/docs/administration/advanced/installation_automatic_annotation.md
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@ -31,7 +31,7 @@ description: 'Information about the installation of components needed for semi-a
- You have to install `nuctl` command line tool to build and deploy serverless - You have to install `nuctl` command line tool to build and deploy serverless
functions. Download [version 1.8.14](https://github.com/nuclio/nuclio/releases/tag/1.8.14). functions. Download [version 1.8.14](https://github.com/nuclio/nuclio/releases/tag/1.8.14).
It is important that the version you download matches the version in It is important that the version you download matches the version in
[docker-compose.serverless.yml](https://github.com/openvinotoolkit/cvat/blob/develop/components/serverless/docker-compose.serverless.yml). [docker-compose.serverless.yml](https://github.com/cvat-ai/cvat/blob/develop/components/serverless/docker-compose.serverless.yml).
For example, using wget. For example, using wget.
```bash ```bash
@ -69,7 +69,7 @@ description: 'Information about the installation of components needed for semi-a
**Note:** **Note:**
- See [deploy_cpu.sh](https://github.com/openvinotoolkit/cvat/blob/develop/serverless/deploy_cpu.sh) - See [deploy_cpu.sh](https://github.com/cvat-ai/cvat/blob/develop/serverless/deploy_cpu.sh)
for more examples. for more examples.
#### GPU Support #### GPU Support
@ -92,7 +92,7 @@ description: 'Information about the installation of components needed for semi-a
**Note:** **Note:**
- The number of GPU deployed functions will be limited to your GPU memory. - The number of GPU deployed functions will be limited to your GPU memory.
- See [deploy_gpu.sh](https://github.com/openvinotoolkit/cvat/blob/develop/serverless/deploy_gpu.sh) - See [deploy_gpu.sh](https://github.com/cvat-ai/cvat/blob/develop/serverless/deploy_gpu.sh)
script for more examples. script for more examples.
- For some models (namely [SiamMask](/docs/manual/advanced/ai-tools#trackers)) you need an [Nvidia driver](https://www.nvidia.com/en-us/drivers/unix/) - For some models (namely [SiamMask](/docs/manual/advanced/ai-tools#trackers)) you need an [Nvidia driver](https://www.nvidia.com/en-us/drivers/unix/)
version greater than or equal to 450.80.02. version greater than or equal to 450.80.02.

2
site/content/en/docs/administration/basics/AWS-Deployment-Guide.md
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@ -11,7 +11,7 @@ There are two ways of deploying the CVAT.
One of the easy ways to launch CVAT with the tf-annotation app is to use AWS P3 instances, One of the easy ways to launch CVAT with the tf-annotation app is to use AWS P3 instances,
which provides the NVIDIA GPU. which provides the NVIDIA GPU.
Read more about [P3 instances here.](https://aws.amazon.com/about-aws/whats-new/2017/10/introducing-amazon-ec2-p3-instances/) Read more about [P3 instances here.](https://aws.amazon.com/about-aws/whats-new/2017/10/introducing-amazon-ec2-p3-instances/)
Overall setup instruction is explained in [main readme file](https://github.com/openvinotoolkit/cvat/), Overall setup instruction is explained in [main readme file](https://github.com/cvat-ai/cvat/),
except Installing Nvidia drivers. except Installing Nvidia drivers.
So we need to download the drivers and install it. So we need to download the drivers and install it.
For Amazon P3 instances, download the Nvidia Drivers from Nvidia website. For Amazon P3 instances, download the Nvidia Drivers from Nvidia website.

2
site/content/en/docs/administration/basics/installation.md
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@ -389,7 +389,7 @@ your cloud storage as a FUSE and use it later as a share.
You can enable email verification for newly registered users. You can enable email verification for newly registered users.
Specify these options in the Specify these options in the
[settings file](https://github.com/openvinotoolkit/cvat/blob/develop/cvat/settings/base.py) to configure Django allauth [settings file](https://github.com/cvat-ai/cvat/blob/develop/cvat/settings/base.py) to configure Django allauth
to enable email verification (ACCOUNT_EMAIL_VERIFICATION = 'mandatory'). to enable email verification (ACCOUNT_EMAIL_VERIFICATION = 'mandatory').
Access is denied until the user's email address is verified. Access is denied until the user's email address is verified.

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site/content/en/docs/contributing/development-environment.md
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@ -51,7 +51,7 @@ description: 'Installing a development environment for different operating syste
- Install CVAT on your local host: - Install CVAT on your local host:
```bash ```bash
git clone https://github.com/openvinotoolkit/cvat git clone https://github.com/cvat-ai/cvat
cd cvat && mkdir logs keys cd cvat && mkdir logs keys
python3 -m venv .env python3 -m venv .env
. .env/bin/activate . .env/bin/activate

8
site/content/en/docs/contributing/new-annotation-format.md
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@ -2,17 +2,17 @@
title: 'How to add a new annotation format support' title: 'How to add a new annotation format support'
linkTitle: 'New annotation format support' linkTitle: 'New annotation format support'
weight: 10 weight: 10
description: 'Instructions on adding support for new annotation formats. This section on [GitHub](https://github.com/openvinotoolkit/cvat/tree/develop/cvat/apps/dataset_manager/formats).' description: 'Instructions on adding support for new annotation formats. This section on [GitHub](https://github.com/cvat-ai/cvat/tree/develop/cvat/apps/dataset_manager/formats).'
--- ---
1. Add a python script to `dataset_manager/formats` 1. Add a python script to `dataset_manager/formats`
2. Add an import statement to [registry.py](https://github.com/openvinotoolkit/cvat/tree/develop/cvat/apps/dataset_manager/formats/registry.py). 2. Add an import statement to [registry.py](https://github.com/cvat-ai/cvat/tree/develop/cvat/apps/dataset_manager/formats/registry.py).
3. Implement some importers and exporters as the format requires. 3. Implement some importers and exporters as the format requires.
Each format is supported by an importer and exporter. Each format is supported by an importer and exporter.
It can be a function or a class decorated with It can be a function or a class decorated with
`importer` or `exporter` from [registry.py](https://github.com/openvinotoolkit/cvat/tree/develop/cvat/apps/dataset_manager/formats/registry.py). `importer` or `exporter` from [registry.py](https://github.com/cvat-ai/cvat/tree/develop/cvat/apps/dataset_manager/formats/registry.py).
Examples: Examples:
```python ```python
@ -54,7 +54,7 @@ Exporter arguments:
- _options_ - format-specific options. `save_images` is the option to - _options_ - format-specific options. `save_images` is the option to
distinguish if dataset or just annotations are requested. distinguish if dataset or just annotations are requested.
[`TaskData`](https://github.com/openvinotoolkit/cvat/blob/develop/cvat/apps/dataset_manager/bindings.py) provides [`TaskData`](https://github.com/cvat-ai/cvat/blob/develop/cvat/apps/dataset_manager/bindings.py) provides
many task properties and interfaces to add and read task annotations. many task properties and interfaces to add and read task annotations.
Public members: Public members:

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site/content/en/docs/faq.md
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@ -101,7 +101,7 @@ volumes:
## How to make unassigned tasks not visible to all users ## How to make unassigned tasks not visible to all users
Set [reduce_task_visibility](https://github.com/openvinotoolkit/cvat/blob/develop/cvat/settings/base.py#L424) Set [reduce_task_visibility](https://github.com/cvat-ai/cvat/blob/develop/cvat/settings/base.py#L455)
variable to `True`. variable to `True`.
## Where are uploaded images/videos stored ## Where are uploaded images/videos stored
@ -135,7 +135,7 @@ Follow this [guide](/docs/administration/basics/installation/#windows-10).
## I do not have the Analytics tab on the header section. How can I add analytics ## I do not have the Analytics tab on the header section. How can I add analytics
You should build CVAT images with ['Analytics' component](https://github.com/openvinotoolkit/cvat/tree/develop/components/analytics). You should build CVAT images with ['Analytics' component](https://github.com/cvat-ai/cvat/tree/develop/components/analytics).
## How to upload annotations to an entire task from UI when there are multiple jobs in the task ## How to upload annotations to an entire task from UI when there are multiple jobs in the task

2
site/content/en/docs/manual/advanced/annotation-with-polygons/creating-mask.md
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@ -33,7 +33,7 @@ There are several formats in CVAT that can be used to export masks:
- `MOTS` - `MOTS`
- `ICDAR` - `ICDAR`
- `COCO` (RLE-encoded instance masks, [guide](/docs/manual/advanced/formats/format-coco)) - `COCO` (RLE-encoded instance masks, [guide](/docs/manual/advanced/formats/format-coco))
- `TFRecord` ([over Datumaro](https://github.com/openvinotoolkit/datumaro/blob/develop/docs/user_manual.md), [guide](/docs/manual/advanced/formats/format-tfrecord)): - `TFRecord` ([over Datumaro](https://github.com/cvat-ai/datumaro/blob/develop/docs/user_manual.md), [guide](/docs/manual/advanced/formats/format-tfrecord)):
- `Datumaro` - `Datumaro`
An example of exported masks (in the `Segmentation Mask` format): An example of exported masks (in the `Segmentation Mask` format):

4
site/content/en/docs/manual/advanced/cli.md
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@ -2,7 +2,7 @@
title: 'Command line interface (CLI)' title: 'Command line interface (CLI)'
linkTitle: 'CLI' linkTitle: 'CLI'
weight: 29 weight: 29
description: 'Guide to working with CVAT tasks in the command line interface. This section on [GitHub](https://github.com/openvinotoolkit/cvat/tree/develop/cvat-cli).' description: 'Guide to working with CVAT tasks in the command line interface. This section on [GitHub](https://github.com/cvat-ai/cvat/tree/develop/cvat-cli).'
--- ---
## Description ## Description
@ -28,7 +28,7 @@ To access the CLI, you need to have python in environment,
as well as a clone of the CVAT repository and the necessary modules: as well as a clone of the CVAT repository and the necessary modules:
```bash ```bash
pip install 'git+https://github.com/openvinotoolkit/cvat#subdirectory=cvat-cli' pip install 'git+https://github.com/cvat-ai/cvat#subdirectory=cvat-cli'
``` ```
You can get help with `cvat-cli --help`. You can get help with `cvat-cli --help`.

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site/content/en/docs/manual/advanced/dataset_manifest.md
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@ -5,7 +5,7 @@
title: 'Simple command line to prepare dataset manifest file' title: 'Simple command line to prepare dataset manifest file'
linkTitle: 'Dataset manifest' linkTitle: 'Dataset manifest'
weight: 30 weight: 30
description: This section on [GitHub](https://github.com/openvinotoolkit/cvat/tree/develop/utils/dataset_manifest) description: This section on [GitHub](https://github.com/cvat-ai/cvat/tree/develop/utils/dataset_manifest)
--- ---

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site/content/en/docs/manual/advanced/formats/format-datumaro.md
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@ -5,7 +5,7 @@ weight: 1.5
# Datumaro format # Datumaro format
[Datumaro](https://github.com/openvinotoolkit/datumaro/) is a tool, which can [Datumaro](https://github.com/cvat-ai/datumaro/) is a tool, which can
help with complex dataset and annotation transformations, format conversions, help with complex dataset and annotation transformations, format conversions,
dataset statistics, merging, custom formats etc. It is used as a provider dataset statistics, merging, custom formats etc. It is used as a provider
of dataset support in CVAT, so basically, everything possible in CVAT of dataset support in CVAT, so basically, everything possible in CVAT

2
site/content/en/docs/manual/advanced/formats/format-tfrecord.md
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@ -49,7 +49,7 @@ item {
... ...
``` ```
- supported annotations: Rectangles, Polygons (as masks, manually over [Datumaro](https://github.com/openvinotoolkit/datumaro/blob/develop/docs/user_manual.md)) - supported annotations: Rectangles, Polygons (as masks, manually over [Datumaro](https://github.com/cvat-ai/datumaro/blob/develop/docs/user_manual.md))
How to export masks: How to export masks:
1. Export annotations in `Datumaro` format 1. Export annotations in `Datumaro` format

12
site/content/en/docs/manual/advanced/serverless-tutorial.md
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@ -976,14 +976,14 @@ you can use the Ubuntu subsystem, for this do the following:
[opencv-python-github]: https://github.com/opencv/opencv-python [opencv-python-github]: https://github.com/opencv/opencv-python
[detectron2-tutorial]: https://detectron2.readthedocs.io/en/latest/tutorials/getting_started.html [detectron2-tutorial]: https://detectron2.readthedocs.io/en/latest/tutorials/getting_started.html
[retinanet-model-zoo]: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md#retinanet [retinanet-model-zoo]: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md#retinanet
[faster-rcnn-function]: https://raw.githubusercontent.com/openvinotoolkit/cvat/38b774046d41d604ed85a521587e4bacce61b69c/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/function.yaml [faster-rcnn-function]: https://raw.githubusercontent.com/cvat-ai/cvat/38b774046d41d604ed85a521587e4bacce61b69c/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/function.yaml
[nuclio-doc]: https://nuclio.io/docs/latest/reference/function-configuration/function-configuration-reference/ [nuclio-doc]: https://nuclio.io/docs/latest/reference/function-configuration/function-configuration-reference/
[nuclio-http-trigger-doc]: https://nuclio.io/docs/latest/reference/triggers/http/ [nuclio-http-trigger-doc]: https://nuclio.io/docs/latest/reference/triggers/http/
[nuclio-bkms-doc]: https://nuclio.io/docs/latest/concepts/best-practices-and-common-pitfalls/ [nuclio-bkms-doc]: https://nuclio.io/docs/latest/concepts/best-practices-and-common-pitfalls/
[retinanet-function-yaml]: https://github.com/openvinotoolkit/cvat/blob/b2f616859ca64687c385e636b4a25014fbb9d17c/serverless/pytorch/facebookresearch/detectron2/retinanet/nuclio/function.yaml [retinanet-function-yaml]: https://github.com/cvat-ai/cvat/blob/b2f616859ca64687c385e636b4a25014fbb9d17c/serverless/pytorch/facebookresearch/detectron2/retinanet/nuclio/function.yaml
[retinanet-main-py]: https://github.com/openvinotoolkit/cvat/blob/b2f616859ca64687c385e636b4a25014fbb9d17c/serverless/pytorch/facebookresearch/detectron2/retinanet/nuclio/main.py [retinanet-main-py]: https://github.com/cvat-ai/cvat/blob/b2f616859ca64687c385e636b4a25014fbb9d17c/serverless/pytorch/facebookresearch/detectron2/retinanet/nuclio/main.py
[nuclio-homepage]: https://nuclio.io/ [nuclio-homepage]: https://nuclio.io/
[cvat-builtin-serverless]: https://github.com/openvinotoolkit/cvat/tree/develop/serverless [cvat-builtin-serverless]: https://github.com/cvat-ai/cvat/tree/develop/serverless
[cvat-auto-annotation-guide]: /docs/administration/advanced/installation_automatic_annotation [cvat-auto-annotation-guide]: /docs/administration/advanced/installation_automatic_annotation
[cvat-installation-guide-windows-10]: /docs/administration/basics/installation/#windows-10 [cvat-installation-guide-windows-10]: /docs/administration/basics/installation/#windows-10
[cvat-installation-guide-ubuntu-1804]: /docs/administration/basics/installation/#ubuntu-1804-x86_64amd64 [cvat-installation-guide-ubuntu-1804]: /docs/administration/basics/installation/#ubuntu-1804-x86_64amd64
@ -991,8 +991,8 @@ you can use the Ubuntu subsystem, for this do the following:
[pascal-voc-format]: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/htmldoc/index.html [pascal-voc-format]: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/htmldoc/index.html
[faas-wiki]: https://en.wikipedia.org/wiki/Function_as_a_service [faas-wiki]: https://en.wikipedia.org/wiki/Function_as_a_service
[cvat-ai-tools-user-guide]: /docs/manual/advanced/ai-tools/ [cvat-ai-tools-user-guide]: /docs/manual/advanced/ai-tools/
[cvat-github]: https://github.com/openvinotoolkit/cvat [cvat-github]: https://github.com/cvat-ai/cvat
[siammask-serverless]: https://github.com/openvinotoolkit/cvat/tree/develop/serverless/pytorch/foolwood/siammask/nuclio [siammask-serverless]: https://github.com/cvat-ai/cvat/tree/develop/serverless/pytorch/foolwood/siammask/nuclio
[vtest-avi]: https://github.com/opencv/opencv/blob/master/samples/data/vtest.avi?raw=true [vtest-avi]: https://github.com/opencv/opencv/blob/master/samples/data/vtest.avi?raw=true
[intel-openvino-url]: https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html [intel-openvino-url]: https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html
[cvat-auto-annotation-user-guide]: /docs/manual/advanced/automatic-annotation/ [cvat-auto-annotation-user-guide]: /docs/manual/advanced/automatic-annotation/

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site/content/en/docs/manual/basics/attach-cloud-storage.md
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@ -344,7 +344,7 @@ In the window that appears, select the created bucket and click export.
### Prepare manifest file ### Prepare manifest file
Now you need to prepare a manifest file. I used [AWS cli](https://aws.amazon.com/cli/) and Now you need to prepare a manifest file. I used [AWS cli](https://aws.amazon.com/cli/) and
[script for prepare manifest file](https://github.com/openvinotoolkit/cvat/tree/develop/utils/dataset_manifest). [script for prepare manifest file](https://github.com/cvat-ai/cvat/tree/develop/utils/dataset_manifest).
Perform the installation using the manual [aws-shell](https://github.com/awslabs/aws-shell), Perform the installation using the manual [aws-shell](https://github.com/awslabs/aws-shell),
I used `aws-cli 1.20.49` `Python 3.7.9` `Windows 10`. I used `aws-cli 1.20.49` `Python 3.7.9` `Windows 10`.
You can configure credentials by running `aws configure`. You can configure credentials by running `aws configure`.

2
site/content/en/docs/manual/basics/interface.md
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@ -52,4 +52,4 @@ If you perform impossible actions, you may receive an error message.
The message may contain information about the error The message may contain information about the error
or a prompt to open the browser console (shortcut `F12`) for information. or a prompt to open the browser console (shortcut `F12`) for information.
If you encounter a bug that you can't solve yourself, If you encounter a bug that you can't solve yourself,
you can [create an issue on GitHub](https://github.com/openvinotoolkit/cvat/issues/new). you can [create an issue on GitHub](https://github.com/cvat-ai/cvat/issues/new).

6
site/package.json
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@ -11,12 +11,12 @@
}, },
"repository": { "repository": {
"type": "git", "type": "git",
"url": "git+https://github.com/openvinotoolkit/cvat.git" "url": "git+https://github.com/cvat-ai/cvat.git"
}, },
"author": "Intel", "author": "Intel",
"license": "MIT", "license": "MIT",
"bugs": { "bugs": {
"url": "https://github.com/openvinotoolkit/cvat/issues" "url": "https://github.com/cvat-ai/cvat/issues"
}, },
"homepage": "https://github.com/openvinotoolkit/cvat#readme" "homepage": "https://github.com/cvat-ai/cvat#readme"
} }

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tests/cypress/integration/actions_tasks2/case_76_try_create_task_incorrect_dataset_repo.js
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@ -21,7 +21,7 @@ context('Try to create a task with an incorrect dataset repository.', () => {
const directoryToArchive = imagesFolder; const directoryToArchive = imagesFolder;
const incorrectDatasetRepoUrl = 'dummyrepo.local'; const incorrectDatasetRepoUrl = 'dummyrepo.local';
const incorrectDatasetRepoUrlHttps = 'https://dummyrepo.local'; const incorrectDatasetRepoUrlHttps = 'https://dummyrepo.local';
const repositoryWithMissingAccess = 'https://github.com/openvinotoolkit/cvat'; const repositoryWithMissingAccess = 'https://github.com/cvat-ai/cvat';
before(() => { before(() => {
cy.visit('auth/login'); cy.visit('auth/login');

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tests/cypress/integration/actions_tasks3/case_46_create_task_with_files_from_remote_sources.js
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@ -9,7 +9,7 @@ context('Create a task with files from remote sources.', () => {
const labelName = `Case ${caseId}`; const labelName = `Case ${caseId}`;
const taskName = `New annotation task for ${labelName}`; const taskName = `New annotation task for ${labelName}`;
const wrongUrl = const wrongUrl =
'https://raw.githubusercontent.com/openvinotoolkit/cvat/v1.2.0/cvat/apps/documentation/static/documentation/images/cvatt.jpg'; 'https://raw.githubusercontent.com/cvat-ai/cvat/v1.2.0/cvat/apps/documentation/static/documentation/images/cvatt.jpg';
const correctUrl = wrongUrl.replace('cvatt.jpg', 'cvat.jpg'); const correctUrl = wrongUrl.replace('cvatt.jpg', 'cvat.jpg');
before(() => { before(() => {

2
tests/cypress/integration/actions_users/case_38_feedback_button.js
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@ -23,7 +23,7 @@ context('Check feedback button.', () => {
.within(() => { .within(() => {
cy.get('a').then(($a) => { cy.get('a').then(($a) => {
expect($a.length).be.equal(3); expect($a.length).be.equal(3);
expect($a[0].href).be.eq('https://github.com/openvinotoolkit/cvat'); expect($a[0].href).be.eq('https://github.com/cvat-ai/cvat');
expect($a[1].href).be.eq('https://gitter.im/opencv-cvat/public'); expect($a[1].href).be.eq('https://gitter.im/opencv-cvat/public');
expect($a[2].href).be.eq($a[1].href); expect($a[2].href).be.eq($a[1].href);
}); });

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tests/rest_api/test_remote_url.py
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@ -56,6 +56,6 @@ class TestGetAnalytics:
def test_can_create(self, find_users): def test_can_create(self, find_users):
user = find_users(privilege='admin')[0]['username'] user = find_users(privilege='admin')[0]['username']
remote_resources = ['https://openvinotoolkit.github.io/cvat/favicons/favicon-32x32.png'] remote_resources = ['https://cvat-ai.github.io/cvat/favicons/favicon-32x32.png']
self._test_can_create(user, self.task_id, remote_resources) self._test_can_create(user, self.task_id, remote_resources)

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

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