Changed links openvinotoolkit > cvat-ai (cvat-ai#3)

Changed links openvinotoolkit > cvat.ai

README.md

@@ -17,15 +17,15 @@ annotation team. Try it online [cvat.org](https://cvat.org).
 
 ## Documentation
 
-- [Contributing](https://openvinotoolkit.github.io/cvat/docs/contributing/)
-- [Installation guide](https://openvinotoolkit.github.io/cvat/docs/administration/basics/installation/)
-- [Manual](https://openvinotoolkit.github.io/cvat/docs/manual/)
-- [Django REST API documentation](https://openvinotoolkit.github.io/cvat/docs/administration/basics/rest_api_guide/)
-- [Datumaro dataset framework](https://github.com/openvinotoolkit/datumaro/blob/develop/README.md)
-- [Command line interface](https://openvinotoolkit.github.io/cvat/docs/manual/advanced/cli/)
-- [XML annotation format](https://openvinotoolkit.github.io/cvat/docs/manual/advanced/xml_format/)
-- [AWS Deployment Guide](https://openvinotoolkit.github.io/cvat/docs/administration/basics/aws-deployment-guide/)
-- [Frequently asked questions](https://openvinotoolkit.github.io/cvat/docs/faq/)
+- [Contributing](https://cvat-ai.github.io/cvat/docs/contributing/)
+- [Installation guide](https://cvat-ai.github.io/cvat/docs/administration/basics/installation/)
+- [Manual](https://cvat-ai.github.io/cvat/docs/manual/)
+- [Django REST API documentation](https://cvat-ai.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/)
 - [Questions](#questions)
 
 ## Screencasts
@@ -43,20 +43,20 @@ annotation team. Try it online [cvat.org](https://cvat.org).
 ## Supported annotation formats
 
 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
 line tool and Python library.
 
 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-->
 
 | Annotation format                                                                                         | Import | Export |
 | --------------------------------------------------------------------------------------------------------- | ------ | ------ |
-| [CVAT for images](https://openvinotoolkit.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      |
-| [Datumaro](https://github.com/openvinotoolkit/datumaro)                                                   |        | X      |
+| [CVAT for images](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#annotation)     | X      | X      |
+| [CVAT for a video](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#interpolation) | X      | X      |
+| [Datumaro](https://github.com/cvat-ai/datumaro)                                                   |        | 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      |
 | [YOLO](https://pjreddie.com/darknet/yolo/)                                                                | X      | X      |
@@ -110,7 +110,7 @@ are visible to users.
 
 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:
 

cvat-cli/setup.py

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

cvat-ui/README.md

@@ -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://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

cvat-ui/src/components/create-cloud-storage-page/manifests-manager.tsx

@@ -80,7 +80,7 @@ export default function ManifestsManager(props: Props): JSX.Element {
                                 type='link'
                                 target='_blank'
                                 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 />
                             </Button>

cvat-ui/src/consts.ts

@@ -4,18 +4,18 @@
 
 const UNDEFINED_ATTRIBUTE_VALUE = '__undefined__';
 const NO_BREAK_SPACE = '\u00a0';
-const CHANGELOG_URL = 'https://github.com/openvinotoolkit/cvat/blob/develop/CHANGELOG.md';
-const LICENSE_URL = 'https://github.com/openvinotoolkit/cvat/blob/develop/LICENSE';
+const CHANGELOG_URL = 'https://github.com/cvat-ai/cvat/blob/develop/CHANGELOG.md';
+const LICENSE_URL = 'https://github.com/cvat-ai/cvat/blob/develop/LICENSE';
 const GITTER_URL = 'https://gitter.im/opencv-cvat';
 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/openvinotoolkit/cvat';
-const GITHUB_IMAGE_URL = 'https://github.com/openvinotoolkit/cvat/raw/develop/site/content/en/images/cvat.jpg';
-const GUIDE_URL = 'https://openvinotoolkit.github.io/cvat/docs';
+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 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 =
-    '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 NEW_LABEL_COLOR = '#b3b3b3';
 const LATEST_COMMENTS_SHOWN_QUICK_ISSUE = 3;

cvat/settings/base.py

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

package.json

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

serverless/openvino/dextr/nuclio/function.yaml

@@ -7,7 +7,7 @@ metadata:
     spec:
     framework: openvino
     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
 
 spec:

serverless/pytorch/saic-vul/fbrs/nuclio/function.yaml

@@ -8,7 +8,7 @@ metadata:
     framework: pytorch
     min_pos_points: 1
     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
 
 spec:

serverless/pytorch/saic-vul/hrnet/nuclio/function-gpu.yaml

@@ -8,7 +8,7 @@ metadata:
     framework: pytorch
     min_pos_points: 1
     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
 
 spec:

serverless/pytorch/shiyinzhang/iog/nuclio/function.yaml

@@ -9,7 +9,7 @@ metadata:
     min_pos_points: 1
     min_neg_points: 0
     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
 
 spec:

site/config.toml

@@ -52,7 +52,7 @@ anchor = "smart"
 [[menu.main]]
     name = "GitHub"
     weight = 60
-    url = "https://github.com/openvinotoolkit/cvat"
+    url = "https://github.com/cvat-ai/cvat"
     pre = "<i class='fab fa-github'></i>"
 
 [services]
@@ -113,9 +113,9 @@ version = "0.0"
 url_latest_version = "https://example.com"
 
 # 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.
-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
 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.
 [[params.links.developer]]
 	name = "GitHub"
-	url = "https://github.com/openvinotoolkit/cvat"
+	url = "https://github.com/cvat-ai/cvat"
 	icon = "fab fa-github"
         desc = "Development takes place here!"
 [[params.links.developer]]

site/content/en/about/_index.html

@@ -144,7 +144,7 @@ <h3 class="col-12 text-center">Core Team</h3>
             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>
-            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>
         </ul>
     </div>

site/content/en/docs/_index.md

@@ -32,7 +32,7 @@ Answers to frequently asked questions.
 
 {{% /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.
 

site/content/en/docs/administration/advanced/analytics.md

@@ -5,7 +5,7 @@
 title: 'Installation Analytics'
 linkTitle: 'Installation Analytics'
 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).'
 
 ---
 

site/content/en/docs/administration/advanced/installation_automatic_annotation.md

@@ -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
   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
-  [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.
 
   ```bash
@@ -69,7 +69,7 @@ description: 'Information about the installation of components needed for semi-a
 
   **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.
 
   #### GPU Support
@@ -92,7 +92,7 @@ description: 'Information about the installation of components needed for semi-a
   **Note:**
 
   - 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.
   - 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.

site/content/en/docs/administration/basics/AWS-Deployment-Guide.md

@@ -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,
    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/)
-   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.
    So we need to download the drivers and install it.
    For Amazon P3 instances, download the Nvidia Drivers from Nvidia website.

site/content/en/docs/administration/basics/installation.md

@@ -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.
 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').
 Access is denied until the user's email address is verified.
 

site/content/en/docs/contributing/development-environment.md

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

site/content/en/docs/contributing/new-annotation-format.md

@@ -2,17 +2,17 @@
 title: 'How to add a new annotation format support'
 linkTitle: 'New annotation format support'
 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`
-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.
 
 Each format is supported by an importer and exporter.
 
 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:
 
 ```python
@@ -54,7 +54,7 @@ Exporter arguments:
 - _options_ - format-specific options. `save_images` is the option to
   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.
 
 Public members:

site/content/en/docs/faq.md

@@ -101,7 +101,7 @@ volumes:
 
 ## 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`.
 
 ## 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
 
-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
 

site/content/en/docs/manual/advanced/annotation-with-polygons/creating-mask.md

@@ -33,7 +33,7 @@ There are several formats in CVAT that can be used to export masks:
 - `MOTS`
 - `ICDAR`
 - `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`
 
 An example of exported masks (in the `Segmentation Mask` format):

site/content/en/docs/manual/advanced/cli.md

@@ -2,7 +2,7 @@
 title: 'Command line interface (CLI)'
 linkTitle: 'CLI'
 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
@@ -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:
 
 ```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`.