Upgrade remark to the latest version (#9394)
The new version seems to be better at parsing Markdown and emits more useful warnings (which I fixed). The new warnings are mostly of the following categories: 1. Inconsistent table formatting. 2. Inconsistent list numbering. 3. Overlong lines. 4. Missing quote markers. WRT tables, I converted a few of them to the compact style, because I can't be bothered to align rows that are >100 characters long, and I don't think anyone else should have to.
This commit is contained in:
Roman Donchenko
+1
-1
@@ -5,7 +5,7 @@ exports.plugins = [
|
||||
'remark-gfm',
|
||||
'remark-preset-lint-recommended',
|
||||
'remark-preset-lint-consistent',
|
||||
['remark-lint-list-item-indent', 'space'],
|
||||
['remark-lint-list-item-indent', 'one'],
|
||||
['remark-lint-no-dead-urls', false], // Does not work because of github protection system
|
||||
['remark-lint-maximum-line-length', 120],
|
||||
['remark-lint-maximum-heading-length', 120],
|
||||
|
||||
+12
-5
@@ -1546,7 +1546,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
|
||||
|
||||
### Fixed
|
||||
|
||||
- Formats with the custom `track_id` attribute should import `outside` track shapes properly (e.g. `COCO`, `COCO Keypoints`, `Datumaro`, `PASCAL VOC`)
|
||||
- Formats with the custom `track_id` attribute should import `outside` track shapes properly
|
||||
(e.g. `COCO`, `COCO Keypoints`, `Datumaro`, `PASCAL VOC`)
|
||||
(<https://github.com/opencv/cvat/pull/7669>)
|
||||
|
||||
- Inefficient resources fetching in admin panel leading to 504 Gateway Timeout
|
||||
@@ -2611,7 +2612,8 @@ This release has changes only in the Enterprise version.
|
||||
|
||||
- Relocated SAM masks decoder to frontend operation.
|
||||
(<https://github.com/opencv/cvat/pull/6019>)
|
||||
- Switched `person-reidentification-retail-0300` and `faster_rcnn_inception_v2_coco` Nuclio functions with `person-reidentification-retail-0277` and `faster_rcnn_inception_resnet_v2_atrous_coco` respectively.
|
||||
- Switched `person-reidentification-retail-0300` and `faster_rcnn_inception_v2_coco` Nuclio functions
|
||||
with `person-reidentification-retail-0277` and `faster_rcnn_inception_resnet_v2_atrous_coco` respectively.
|
||||
(<https://github.com/opencv/cvat/pull/6129>)
|
||||
- Upgraded OpenVINO-based Nuclio functions to utilize the OpenVINO 2022.3 runtime.
|
||||
(<https://github.com/opencv/cvat/pull/6129>)
|
||||
@@ -2814,7 +2816,10 @@ This release has changes only in the Enterprise version.
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||||
polygon-minus, returning masks from online detectors & interactors)
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||||
(<https://github.com/opencv/cvat/pull/4543>)
|
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- Added Webhooks (<https://github.com/opencv/cvat/pull/4863>)
|
||||
- Authentication with social accounts: Google & GitHub (<https://github.com/opencv/cvat/pull/5147>, <https://github.com/opencv/cvat/pull/5181>, <https://github.com/opencv/cvat/pull/5295>)
|
||||
- Authentication with social accounts: Google & GitHub
|
||||
(<https://github.com/opencv/cvat/pull/5147>,
|
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<https://github.com/opencv/cvat/pull/5181>,
|
||||
<https://github.com/opencv/cvat/pull/5295>)
|
||||
- REST API tests for exporting job datasets & annotations and validating their structure (<https://github.com/opencv/cvat/pull/5160>)
|
||||
- Backward propagation on UI (<https://github.com/opencv/cvat/pull/5355>)
|
||||
- Keyboard shortcut to delete a frame (Alt + Del) (<https://github.com/opencv/cvat/pull/5369>)
|
||||
@@ -2824,7 +2829,8 @@ This release has changes only in the Enterprise version.
|
||||
|
||||
### Changed
|
||||
|
||||
- `api/docs`, `api/swagger`, `api/schema`, `server/about` endpoints now allow unauthorized access (<https://github.com/opencv/cvat/pull/4928>, <https://github.com/opencv/cvat/pull/4935>)
|
||||
- `api/docs`, `api/swagger`, `api/schema`, `server/about` endpoints now allow unauthorized access
|
||||
(<https://github.com/opencv/cvat/pull/4928>, <https://github.com/opencv/cvat/pull/4935>)
|
||||
- 3D canvas now can be dragged in IDLE mode (<https://github.com/opencv/cvat/pull/5385>)
|
||||
- Datumaro version is upgraded to 0.3 (dev) (<https://github.com/opencv/cvat/pull/4984>)
|
||||
- Allowed trailing slashes in the SDK host address (<https://github.com/opencv/cvat/pull/5057>)
|
||||
@@ -3867,7 +3873,8 @@ This release has changes only in the Enterprise version.
|
||||
- Keyboard shortcuts to switch next/previous default shape type (box, polygon etc) (Alt + <, Alt + >) (#316)
|
||||
- Converter for VOC now supports interpolation tracks
|
||||
- REST API (/api/v1/\*, /api/docs)
|
||||
- Semi-automatic semantic segmentation with the [Deep Extreme Cut](http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr/) work
|
||||
- Semi-automatic semantic segmentation with the
|
||||
[Deep Extreme Cut](http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr/) work
|
||||
|
||||
### Changed
|
||||
|
||||
|
||||
@@ -151,7 +151,7 @@ For more information about the supported formats, see:
|
||||
<!--lint disable maximum-line-length-->
|
||||
|
||||
| Annotation format | Import | Export |
|
||||
|--------------------------------------------------------------------------------------------------| ------ | ------ |
|
||||
| ------------------------------------------------------------------------------------------------ | ------ | ------ |
|
||||
| [CVAT for images](https://docs.cvat.ai/docs/manual/advanced/xml_format/#annotation) | ✔️ | ✔️ |
|
||||
| [CVAT for a video](https://docs.cvat.ai/docs/manual/advanced/xml_format/#interpolation) | ✔️ | ✔️ |
|
||||
| [Datumaro](https://github.com/cvat-ai/datumaro) | ✔️ | ✔️ |
|
||||
@@ -176,10 +176,10 @@ For more information about the supported formats, see:
|
||||
| [LFW](http://vis-www.cs.umass.edu/lfw/) | ✔️ | ✔️ |
|
||||
| [Supervisely Point Cloud Format](https://docs.supervise.ly/data-organization/00_ann_format_navi) | ✔️ | ✔️ |
|
||||
| [Ultralytics YOLO Detection](https://docs.ultralytics.com/datasets/detect/) | ✔️ | ✔️ |
|
||||
| [Ultralytics YOLO Oriented Bounding Boxes](https://docs.ultralytics.com/datasets/obb/) | ✔️ | ✔️ |
|
||||
| [Ultralytics YOLO Segmentation](https://docs.ultralytics.com/datasets/segment/) | ✔️ | ✔️ |
|
||||
| [Ultralytics YOLO Pose](https://docs.ultralytics.com/datasets/pose/) | ✔️ | ✔️ |
|
||||
| [Ultralytics YOLO Classification](https://docs.ultralytics.com/datasets/classify/) | ✔️ | ✔️ |
|
||||
| [Ultralytics YOLO Oriented Bounding Boxes](https://docs.ultralytics.com/datasets/obb/) | ✔️ | ✔️ |
|
||||
| [Ultralytics YOLO Segmentation](https://docs.ultralytics.com/datasets/segment/) | ✔️ | ✔️ |
|
||||
| [Ultralytics YOLO Pose](https://docs.ultralytics.com/datasets/pose/) | ✔️ | ✔️ |
|
||||
| [Ultralytics YOLO Classification](https://docs.ultralytics.com/datasets/classify/) | ✔️ | ✔️ |
|
||||
|
||||
<!--lint enable maximum-line-length-->
|
||||
|
||||
|
||||
+15
-15
@@ -57,21 +57,21 @@
|
||||
"postcss-loader": "^7.3.3",
|
||||
"postcss-preset-env": "^9.0.0",
|
||||
"react-svg-loader": "^3.0.3",
|
||||
"remark-cli": "^9.0.0",
|
||||
"remark-frontmatter": "^3.0.0",
|
||||
"remark-gfm": "^1.0.0",
|
||||
"remark-lint-emphasis-marker": "^2.0.0",
|
||||
"remark-lint-list-item-spacing": "^2.0.0",
|
||||
"remark-lint-maximum-heading-length": "^2.0.0",
|
||||
"remark-lint-maximum-line-length": "^2.0.0",
|
||||
"remark-lint-no-dead-urls": "^1.0.2",
|
||||
"remark-lint-no-file-name-irregular-characters": "^1.0.3",
|
||||
"remark-lint-ordered-list-marker-style": "^2.0.0",
|
||||
"remark-lint-strong-marker": "^2.0.0",
|
||||
"remark-lint-unordered-list-marker-style": "^2.0.0",
|
||||
"remark-preset-lint-consistent": "^4.0.0",
|
||||
"remark-preset-lint-markdown-style-guide": "^4.0.0",
|
||||
"remark-preset-lint-recommended": "^5.0.0",
|
||||
"remark-cli": "^12.0.1",
|
||||
"remark-frontmatter": "^5.0.0",
|
||||
"remark-gfm": "^4.0.1",
|
||||
"remark-lint-emphasis-marker": "^4.0.1",
|
||||
"remark-lint-list-item-spacing": "^5.0.1",
|
||||
"remark-lint-maximum-heading-length": "^4.1.1",
|
||||
"remark-lint-maximum-line-length": "^4.1.1",
|
||||
"remark-lint-no-dead-urls": "^2.0.1",
|
||||
"remark-lint-no-file-name-irregular-characters": "^3.0.1",
|
||||
"remark-lint-ordered-list-marker-style": "^4.0.1",
|
||||
"remark-lint-strong-marker": "^4.0.1",
|
||||
"remark-lint-unordered-list-marker-style": "^4.0.1",
|
||||
"remark-preset-lint-consistent": "^6.0.1",
|
||||
"remark-preset-lint-markdown-style-guide": "^6.0.1",
|
||||
"remark-preset-lint-recommended": "^7.0.1",
|
||||
"sass": "^1.42.1",
|
||||
"sass-loader": "^10.0.0",
|
||||
"source-map-support": "^0.5.19",
|
||||
|
||||
@@ -197,7 +197,8 @@ postgresql:
|
||||
secret:
|
||||
password: cvat_postgresql
|
||||
```
|
||||
In example above corresponding secret will be created automatically, but if you want to use existing secret change `secret.create` to `false` and set `name` of existing secret:
|
||||
In example above corresponding secret will be created automatically,
|
||||
but if you want to use existing secret change `secret.create` to `false` and set `name` of existing secret:
|
||||
```yml
|
||||
postgresql:
|
||||
enabled: false
|
||||
|
||||
@@ -119,12 +119,12 @@ Webhook payload object for `create:<resource>` events:
|
||||
|
||||
<!--lint disable maximum-line-length-->
|
||||
|
||||
| Key | Type | Description |
|
||||
| ------------ | --------- | --------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `event` | `string` | Identifies the event that triggered the webhook, following the `create:<resource>` pattern. |
|
||||
| Key | Type | Description |
|
||||
| ------------ | --------- | ----------- |
|
||||
| `event` | `string` | Identifies the event that triggered the webhook, following the `create:<resource>` pattern. |
|
||||
| `<resource>` | `object` | Complete information about the created resource. Refer to the [Swagger](#webhooks-with-api-calls) docs for individual resource details. |
|
||||
| `webhook_id` | `integer` | The identifier for the webhook that sends the payload. |
|
||||
| `sender` | `object` | Details about the user that triggered the webhook. |
|
||||
| `webhook_id` | `integer` | The identifier for the webhook that sends the payload. |
|
||||
| `sender` | `object` | Details about the user that triggered the webhook. |
|
||||
|
||||
<!--lint enable maximum-line-length-->
|
||||
|
||||
|
||||
@@ -144,14 +144,14 @@ and replaces the label IDs in the shape objects with those defined in the datase
|
||||
For example, suppose the AA function's spec defines the following labels:
|
||||
|
||||
| Name | ID |
|
||||
|-------|----|
|
||||
| `bat` | 0 |
|
||||
| `rat` | 1 |
|
||||
| ----- | -- |
|
||||
| `bat` | 0 |
|
||||
| `rat` | 1 |
|
||||
|
||||
And the dataset defines the following labels:
|
||||
|
||||
| Name | ID |
|
||||
|-------|-----|
|
||||
| ----- | --- |
|
||||
| `bat` | 100 |
|
||||
| `cat` | 101 |
|
||||
| `rat` | 102 |
|
||||
@@ -173,7 +173,7 @@ and sometimes setting some attributes to fixed values.
|
||||
The following helpers are available for building specifications:
|
||||
|
||||
| Name | Model type | Fixed attributes |
|
||||
|---------------------------|-----------------------|-------------------------------------------------------|
|
||||
| ------------------------- | --------------------- | ----------------------------------------------------- |
|
||||
| `label_spec` | `PatchedLabelRequest` | - |
|
||||
| `skeleton_label_spec` | `PatchedLabelRequest` | `type="skeleton"` |
|
||||
| `keypoint_spec` | `SublabelRequest` | `type="points"` |
|
||||
@@ -197,7 +197,7 @@ cvataa.number_attribute_spec("size", 1, number_attribute_values(0, 10))
|
||||
The following helpers are available for use in `detect`:
|
||||
|
||||
| Name | Model type | Fixed attributes |
|
||||
|-------------|--------------------------|-------------------------------|
|
||||
| ----------- | ------------------------ | ----------------------------- |
|
||||
| `shape` | `LabeledShapeRequest` | `frame=0` |
|
||||
| `mask` | `LabeledShapeRequest` | `frame=0`, `type="mask"` |
|
||||
| `polygon` | `LabeledShapeRequest` | `frame=0`, `type="polygon"` |
|
||||
|
||||
@@ -339,10 +339,10 @@ extra common arguments which control invocation logic:
|
||||
Read more about file uploads [here](#sending-data). Default is `application/json`.
|
||||
|
||||
> **NOTE**: the API is autogenerated. In some cases the server API schema may be incomplete
|
||||
or underspecified. Please report to us all the problems found. A typical problem is that a
|
||||
response data can't be parsed automatically due to the incorrect schema. In this case, the
|
||||
simplest workaround is to disable response parsing using the `_parse_response=False`
|
||||
method argument.
|
||||
> or underspecified. Please report to us all the problems found. A typical problem is that a
|
||||
> response data can't be parsed automatically due to the incorrect schema. In this case, the
|
||||
> simplest workaround is to disable response parsing using the `_parse_response=False`
|
||||
> method argument.
|
||||
|
||||
You can find many examples of API client usage in REST API tests [here](https://github.com/cvat-ai/cvat/tree/develop/tests/python).
|
||||
|
||||
|
||||
@@ -13,10 +13,10 @@ Guidelines for bug reports:
|
||||
1. **Use the GitHub issue search** — check if the issue has already been
|
||||
reported.
|
||||
|
||||
2. **Check if the issue has been fixed** — try to reproduce it using the
|
||||
1. **Check if the issue has been fixed** — try to reproduce it using the
|
||||
latest `develop` branch in the repository.
|
||||
|
||||
3. **Isolate the problem** — ideally create a reduced test case.
|
||||
1. **Isolate the problem** — ideally create a reduced test case.
|
||||
|
||||
A good bug report shouldn't leave others needing to chase you up for more
|
||||
information. Please try to be as detailed as possible in your report. What is
|
||||
|
||||
@@ -104,7 +104,7 @@ To attach to a container, run one of the following tasks:
|
||||
- `REST API tests: Attach to RQ low` for the low priority queue worker
|
||||
- `REST API tests: Attach to RQ default` for the default priority queue worker
|
||||
|
||||
> If you have a custom development environment setup, you need to adjust
|
||||
If you have a custom development environment setup, you need to adjust
|
||||
host-remote path mappings in the `.vscode/launch.json`:
|
||||
```json
|
||||
...
|
||||
|
||||
@@ -32,7 +32,7 @@ the parameters any time.
|
||||
> in the
|
||||
> {{< ilink "/docs/manual/basics/quality-control#how-to-enable-quality-control" "quality overview" >}}
|
||||
> section or in the
|
||||
{{< ilink "/docs/manual/advanced/analytics-and-monitoring/auto-qa#configuring-quality-estimation" "full guide" >}}.
|
||||
> {{< ilink "/docs/manual/advanced/analytics-and-monitoring/auto-qa#configuring-quality-estimation" "full guide" >}}.
|
||||
|
||||
1. Open the task **Actions** menu > **Quality control** > **Settings**
|
||||
|
||||
|
||||
@@ -19,7 +19,7 @@ objects (polygons and masks) to track them forward for a specified number of fra
|
||||
> **Note**: This feature is not available in the community CVAT version.
|
||||
|
||||
> **Note**: This feature requires the enhanced actions UI plugin, which is enabled by default.
|
||||
Usually, no additional steps are necessary on this.
|
||||
> Usually, no additional steps are necessary on this.
|
||||
|
||||
### Docker
|
||||
|
||||
|
||||
@@ -30,37 +30,37 @@ With more to come soon. Stay tuned!
|
||||
To enable authentication, do the following:
|
||||
|
||||
1. Log in to the [Google Cloud console](https://console.cloud.google.com/)
|
||||
2. [Create a project](https://cloud.google.com/resource-manager/docs/creating-managing-projects),
|
||||
1. [Create a project](https://cloud.google.com/resource-manager/docs/creating-managing-projects),
|
||||
and go to [APIs & Services](https://console.cloud.google.com/apis/)
|
||||
3. On the left menu, select **OAuth consent**, then select
|
||||
1. On the left menu, select **OAuth consent**, then select
|
||||
**User type** (**Internal** or **External**), and click **Create**.
|
||||
4. On the **OAuth consent screen** fill all required fields, and click **Save and Continue**.
|
||||
5. On the **Scopes** screen, click **Add or remove scopes** and
|
||||
1. On the **OAuth consent screen** fill all required fields, and click **Save and Continue**.
|
||||
1. On the **Scopes** screen, click **Add or remove scopes** and
|
||||
select `auth/userinfo.email`, `auth/userinfo.profile`, and `openid`.
|
||||
Click **Update**, and **Save and Continue**.
|
||||
<br>For more information, see [Configure Auth Consent](https://developers.google.com/workspace/guides/configure-oauth-consent).
|
||||
6. On the left menu, click **Credentials**, on the top
|
||||
1. On the left menu, click **Credentials**, on the top
|
||||
menu click **+ Create credentials**, and select **OAuth client ID**.
|
||||
7. From the **Application Type** select **Web application** and
|
||||
1. From the **Application Type** select **Web application** and
|
||||
configure: **Application name**, **Authorized JavaScript origins**, **Authorized redirect URIs**.
|
||||
<br> For example, if you plan to deploy CVAT instance on `https://localhost:8080`, add `https://localhost:8080`
|
||||
to authorized JS origins and `https://localhost:8080/api/auth/social/goolge/login/callback/` to redirect URIs.
|
||||
8. Create configuration file in CVAT:
|
||||
1. Create configuration file in CVAT:
|
||||
|
||||
1. Create the `auth_config.yml` file with the following content:
|
||||
|
||||
```yaml
|
||||
---
|
||||
social_account:
|
||||
enabled: true
|
||||
google:
|
||||
client_id: <some_client_id>
|
||||
client_secret: <some_client_secret>
|
||||
```
|
||||
```yaml
|
||||
---
|
||||
social_account:
|
||||
enabled: true
|
||||
google:
|
||||
client_id: <some_client_id>
|
||||
client_secret: <some_client_secret>
|
||||
```
|
||||
|
||||
2. Set `AUTH_CONFIG_PATH="<path_to_auth_config>` environment variable.
|
||||
1. Set `AUTH_CONFIG_PATH="<path_to_auth_config>` environment variable.
|
||||
|
||||
9. In a terminal, run the following command:
|
||||
1. In a terminal, run the following command:
|
||||
|
||||
```bash
|
||||
docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.override.yml up -d --build
|
||||
@@ -71,26 +71,26 @@ To enable authentication, do the following:
|
||||
There are 2 basic steps to enable GitHub account authentication.
|
||||
|
||||
1. Open the GitHub settings page.
|
||||
2. On the left menu, click **<> Developer settings** > **OAuth Apps** > **Register new application**.
|
||||
1. On the left menu, click **<> Developer settings** > **OAuth Apps** > **Register new application**.
|
||||
<br>For more information, see [Creating an OAuth App](https://docs.github.com/en/developers/apps/building-oauth-apps/creating-an-oauth-app)
|
||||
3. Fill in the name field, set the homepage URL (for example: `https://localhost:8080`),
|
||||
1. Fill in the name field, set the homepage URL (for example: `https://localhost:8080`),
|
||||
and authentication callback URL (for example: `https://localhost:8080/api/auth/social/github/login/callback/`).
|
||||
4. Create configuration file in CVAT:
|
||||
1. Create configuration file in CVAT:
|
||||
|
||||
1. Create the `auth_config.yml` file with the following content:
|
||||
|
||||
```yaml
|
||||
---
|
||||
social_account:
|
||||
enabled: true
|
||||
github:
|
||||
client_id: <some_client_id>
|
||||
client_secret: <some_client_secret>
|
||||
```
|
||||
```yaml
|
||||
---
|
||||
social_account:
|
||||
enabled: true
|
||||
github:
|
||||
client_id: <some_client_id>
|
||||
client_secret: <some_client_secret>
|
||||
```
|
||||
|
||||
2. Set `AUTH_CONFIG_PATH="<path_to_auth_config>` environment variable.
|
||||
1. Set `AUTH_CONFIG_PATH="<path_to_auth_config>` environment variable.
|
||||
|
||||
5. In a terminal, run the following command:
|
||||
1. In a terminal, run the following command:
|
||||
|
||||
```bash
|
||||
docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.override.yml up -d --build
|
||||
|
||||
@@ -102,14 +102,14 @@ Consensus annotation is configured at the Task level. It can only be specified a
|
||||
If you want to enable consensus for one of your existing tasks, you'll need to recreate the task.
|
||||
|
||||
1. Go to the {{< ilink "/docs/manual/basics/create-annotation-task" "task creation" >}} page
|
||||
2. Configure basic and advanced parameters according to your requirements,
|
||||
1. Configure basic and advanced parameters according to your requirements,
|
||||
and attach a dataset to be annotated.
|
||||
3. To enable consensus for the task, open the **Advanced** section and
|
||||
1. To enable consensus for the task, open the **Advanced** section and
|
||||
set **Consensus Replicas** to a value greater than 1.
|
||||
|
||||
|
||||
|
||||
4. Create the task and open the task page
|
||||
1. Create the task and open the task page
|
||||
|
||||
If a task has consensus enabled, you'll see the **Consensus** tag in the task summary.
|
||||
Existing **Consensus replica** jobs will be displayed in the job list under their parent
|
||||
@@ -142,11 +142,11 @@ the next merging and avoid losing the reviewed annotations.
|
||||
### How to merge all replicas in a task
|
||||
|
||||
1. Open the task **Actions** menu
|
||||
2. Click **Merge consensus jobs**
|
||||
1. Click **Merge consensus jobs**
|
||||
|
||||
|
||||
|
||||
3. Click **Merge** in the dialog window
|
||||
1. Click **Merge** in the dialog window
|
||||
|
||||
|
||||
|
||||
@@ -156,11 +156,11 @@ the next merging and avoid losing the reviewed annotations.
|
||||
### How to merge replicas in a specific parent job
|
||||
|
||||
1. Open the job **Actions** menu
|
||||
2. Click **Merge consensus job**
|
||||
1. Click **Merge consensus job**
|
||||
|
||||
|
||||
|
||||
3. Click **Merge** in the dialog window
|
||||
1. Click **Merge** in the dialog window
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -92,7 +92,7 @@ List of pre-installed models:
|
||||
|
||||
| Model | Description |
|
||||
| ------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| Attributed face detection | Three OpenVINO models work together: <br><br><li> [Face Detection 0205](https://docs.openvino.ai/2022.3/omz_models_model_face_detection_0205.html): face detector based on MobileNetV2 as a backbone with a FCOS head for indoor and outdoor scenes shot by a front-facing camera. <li>[Emotions recognition retail 0003](https://docs.openvino.ai/2022.3/omz_models_model_emotions_recognition_retail_0003.html#emotions-recognition-retail-0003): fully convolutional network for recognition of five emotions (‘neutral’, ‘happy’, ‘sad’, ‘surprise’, ‘anger’). <li>[Age gender recognition retail 0013](https://docs.openvino.ai/2022.3/omz_models_model_age_gender_recognition_retail_0013.html): fully convolutional network for simultaneous Age/Gender recognition. The network can recognize the age of people in the [18 - 75] years old range; it is not applicable for children since their faces were not in the training set. |
|
||||
| Attributed face detection | Three OpenVINO models work together: <br><br><li> [Face Detection 0205](https://docs.openvino.ai/2022.3/omz_models_model_face_detection_0205.html): face detector based on MobileNetV2 as a backbone with a FCOS head for indoor and outdoor scenes shot by a front-facing camera. <li>[Emotions recognition retail 0003](https://docs.openvino.ai/2022.3/omz_models_model_emotions_recognition_retail_0003.html#emotions-recognition-retail-0003): fully convolutional network for recognition of five emotions (‘neutral’, ‘happy’, ‘sad’, ‘surprise’, ‘anger’). <li>[Age gender recognition retail 0013](https://docs.openvino.ai/2022.3/omz_models_model_age_gender_recognition_retail_0013.html): fully convolutional network for simultaneous Age/Gender recognition. The network can recognize the age of people in the \[18 - 75\] years old range; it is not applicable for children since their faces were not in the training set. |
|
||||
| RetinaNet R101 | RetinaNet is a one-stage object detection model that utilizes a focal loss function to address class imbalance during training. Focal loss applies a modulating term to the cross entropy loss to focus learning on hard negative examples. RetinaNet is a single, unified network composed of a backbone network and two task-specific subnetworks. <br><br>For more information, see: <li>[Site: RetinaNET](https://paperswithcode.com/lib/detectron2/retinanet) |
|
||||
| Text detection | Text detector based on PixelLink architecture with MobileNetV2, depth_multiplier=1.4 as a backbone for indoor/outdoor scenes. <br><br> For more information, see: <li>[Site: OpenVINO Text detection 004](https://docs.openvino.ai/2022.3/omz_models_model_text_detection_0004.html) |
|
||||
| YOLO v3 | YOLO v3 is a family of object detection architectures and models pre-trained on the COCO dataset. <br><br> For more information, see: <li>[Site: YOLO v3](https://docs.openvino.ai/2022.3/omz_models_model_yolo_v3_tf.html) |
|
||||
|
||||
@@ -129,11 +129,11 @@ small toolbar will appear on the top of the screen, with the following elements:
|
||||
|
||||
<!--lint disable maximum-line-length-->
|
||||
|
||||
| Element | Description |
|
||||
| ---------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| Element | Description |
|
||||
| ---------------------------------------------- | ----------- |
|
||||
|  | **Fit views**. Click to restore the layout to its original appearance. <p>If you've expanded any images in the layout, they will returned to their original size. <p>This won't affect the number of context images on the screen. |
|
||||
|  | **Add new image**. Click to add context image to the layout. |
|
||||
|  | **Reload layout**. Click to reload layout to the default view. <p>Note, that this action can change the number of context images resetting them back to three. |
|
||||
|  | **Add new image**. Click to add context image to the layout. |
|
||||
|  | **Reload layout**. Click to reload layout to the default view. <p>Note, that this action can change the number of context images resetting them back to three. |
|
||||
|
||||
<!--lint enable maximum-line-length-->
|
||||
|
||||
|
||||
@@ -117,8 +117,8 @@ pip install -r utils/dataset_manifest/requirements.in
|
||||
```
|
||||
|
||||
> Please note that if used with video this way, the results may be different from what
|
||||
would the server decode. It is related to the ffmpeg library version. For this reason,
|
||||
using the Docker-based version of the tool is recommended.
|
||||
> would the server decode. It is related to the ffmpeg library version. For this reason,
|
||||
> using the Docker-based version of the tool is recommended.
|
||||
|
||||
### Examples
|
||||
|
||||
|
||||
@@ -58,4 +58,4 @@ You can also restore deleted frames in the task.
|
||||
|
||||
|
||||
|
||||
2. Click on the **Restore** icon. The frame will be restored immediately.
|
||||
1. Click on the **Restore** icon. The frame will be restored immediately.
|
||||
|
||||
@@ -24,7 +24,7 @@ The table below outlines the available formats for data export in CVAT.
|
||||
<!--lint disable maximum-line-length-->
|
||||
|
||||
| Format | Type | Computer Vision Task | Models | Shapes | Attributes | Video Tracks |
|
||||
|-----------------------------------------------------------------------------------------------------------------------------|---------------|-------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------| -------------------- |---------------|
|
||||
| --------------------------------------------------------------------------------------------------------------------------- | ------------- | ----------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- | -------------------- | ------------- |
|
||||
| [CamVid 1.0](format-camvid) | .txt <br>.png | Semantic <br>Segmentation | U-Net, SegNet, DeepLab, <br>PSPNet, FCN, Mask R-CNN, <br>ICNet, ERFNet, HRNet, <br>V-Net, and others. | Polygons | Not supported | Not supported |
|
||||
| [Cityscapes 1.0](format-cityscapes) | .txt<br>.png | Semantic<br>Segmentation | U-Net, SegNet, DeepLab, <br>PSPNet, FCN, ERFNet, <br>ICNet, Mask R-CNN, HRNet, <br>ENet, and others. | Polygons | Specific attributes | Not supported |
|
||||
| [COCO 1.0](format-coco) | JSON | Detection, Semantic <br>Segmentation | YOLO (You Only Look Once), <br>Faster R-CNN, Mask R-CNN, SSD (Single Shot MultiBox Detector), <br> RetinaNet, EfficientDet, UNet, <br>DeepLabv3+, CenterNet, Cascade R-CNN, and others. | Bounding Boxes, Polygons | Specific attributes | Not supported |
|
||||
@@ -47,10 +47,10 @@ The table below outlines the available formats for data export in CVAT.
|
||||
| [WIDER Face 1.0](format-widerface) | .txt | Detection | SSD (Single Shot MultiBox Detector), Faster R-CNN, YOLO, <br>and others. | Bounding Boxes, Tags | Specific attributes | Not supported |
|
||||
| [YOLO 1.0](format-yolo) | .txt | Detection | YOLOv1, YOLOv2 (YOLO9000), <br>YOLOv3, YOLOv4, and others. | Bounding Boxes | No attributes | Not supported |
|
||||
| [Ultralytics YOLO Detection 1.0](format-yolo-ultralytics) | .txt | Detection | YOLOv8 | Bounding Boxes | No attributes | Supported |
|
||||
| [Ultralytics YOLO Segmentation 1.0](format-yolo-ultralytics) | .txt | Instance Segmentation | YOLOv8 | Polygons, Masks | No attributes | Supported |
|
||||
| [Ultralytics YOLO Pose 1.0](format-yolo-ultralytics) | .txt | Keypoints | YOLOv8 | Skeletons | No attributes | Supported |
|
||||
| [Ultralytics YOLO Oriented Bounding Boxes 1.0](format-yolo-ultralytics) | .txt | Detection | YOLOv8 | Bounding Boxes | No attributes | Supported |
|
||||
| [Ultralytics YOLO Classification 1.0](format-yolo-ultralytics-classification) | .jpg | Classification | YOLOv8 | Tags | No attributes | Not supported |
|
||||
| [Ultralytics YOLO Segmentation 1.0](format-yolo-ultralytics) | .txt | Instance Segmentation | YOLOv8 | Polygons, Masks | No attributes | Supported |
|
||||
| [Ultralytics YOLO Pose 1.0](format-yolo-ultralytics) | .txt | Keypoints | YOLOv8 | Skeletons | No attributes | Supported |
|
||||
| [Ultralytics YOLO Oriented Bounding Boxes 1.0](format-yolo-ultralytics) | .txt | Detection | YOLOv8 | Bounding Boxes | No attributes | Supported |
|
||||
| [Ultralytics YOLO Classification 1.0](format-yolo-ultralytics-classification) | .jpg | Classification | YOLOv8 | Tags | No attributes | Not supported |
|
||||
|
||||
|
||||
<!--lint enable maximum-line-length-->
|
||||
|
||||
@@ -18,7 +18,7 @@ These shortcuts are organized by scopes. Some are global, meaning they work acro
|
||||
in both the Standard Workspace and the Standard 3D Workspace, as these two do not coexist.
|
||||
|
||||
| **Scope** | **Shortcut Conflicts** |
|
||||
|----------------------------------|---------------------------------------------------------------------------------|
|
||||
| -------------------------------- | ------------------------------------------------------------------------------- |
|
||||
| **Global** | Must be unique across all scopes, as they apply universally. |
|
||||
| **Annotation Page** | Must be unique across all scopes, except Labels Editor. |
|
||||
| **Standard Workspace** | Must be unique across itself, Annotation Page and Global Scope. |
|
||||
@@ -56,7 +56,8 @@ You can customize shortcuts in CVAT settings.
|
||||
to assign to the action. As an example `f3` has been set here for Show Shortcuts along with `f1`:\
|
||||
|
||||
|
||||
- Shortcuts can be any combination of modifiers (ctrl, shift or alt) and up to one non-modifier key e.g. `ctrl+shift+f1` etc.\
|
||||
- Shortcuts can be any combination of modifiers (ctrl, shift or alt)
|
||||
and up to one non-modifier key e.g. `ctrl+shift+f1` etc.\
|
||||
|
||||
|
||||
- If you try to add a shortcut that is already in use, you will get a warning message:\
|
||||
|
||||
@@ -119,16 +119,16 @@ Fill in the following fields:
|
||||
|
||||
<!--lint disable maximum-line-length-->
|
||||
|
||||
| CVAT | AWS S3 |
|
||||
| ----------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| **Display name** | Preferred display name for your storage. |
|
||||
| **Description** | (Optional) Add description of storage. |
|
||||
| **Provider** | From drop-down list select **AWS S3**. |
|
||||
| **Bucket name** | Name of the [Bucket](https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingBucket). |
|
||||
| CVAT | AWS S3 |
|
||||
| ----------------------- | ------ |
|
||||
| **Display name** | Preferred display name for your storage. |
|
||||
| **Description** | (Optional) Add description of storage. |
|
||||
| **Provider** | From drop-down list select **AWS S3**. |
|
||||
| **Bucket name** | Name of the [Bucket](https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingBucket). |
|
||||
| **Authentication type** | Depends on the bucket setup: <br><li>**Key id and secret access key pair**: available on [IAM](https://console.aws.amazon.com/iamv2/home?#/users). <br><li>**Anonymous access**: for anonymous access. Public access to the bucket must be enabled. |
|
||||
| **Region** | (Optional) Choose a region from the list or add a new one. For more information, consult [**Available locations**](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html#concepts-available-regions). |
|
||||
| **Prefix** | (Optional) Prefix is used to filter bucket content. By setting a default prefix, you ensure that only data from a specific folder in the cloud is used in CVAT. This will affect which files you see when creating a task with cloud data. |
|
||||
| **Manifests** | (Optional) Select **+ Add manifest** and enter the name of the manifest file with an extension. For example: `manifest.jsonl`. |
|
||||
| **Region** | (Optional) Choose a region from the list or add a new one. For more information, consult [**Available locations**](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html#concepts-available-regions). |
|
||||
| **Prefix** | (Optional) Prefix is used to filter bucket content. By setting a default prefix, you ensure that only data from a specific folder in the cloud is used in CVAT. This will affect which files you see when creating a task with cloud data. |
|
||||
| **Manifests** | (Optional) Select **+ Add manifest** and enter the name of the manifest file with an extension. For example: `manifest.jsonl`. |
|
||||
|
||||
<!--lint enable maximum-line-length-->
|
||||
|
||||
@@ -281,17 +281,17 @@ Fill in the following fields:
|
||||
|
||||
<!--lint disable maximum-line-length-->
|
||||
|
||||
| CVAT | Google Cloud Storage |
|
||||
| ----------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| **Display name** | Preferred display name for your storage. |
|
||||
| **Description** | (Optional) Add description of storage. |
|
||||
| **Provider** | From drop-down list select **Google Cloud Storage**. |
|
||||
| **Bucket name** | Name of the bucket. You can find it on the [storage browser page](https://console.cloud.google.com/storage/browser). |
|
||||
| CVAT | Google Cloud Storage |
|
||||
| ----------------------- | -------------------- |
|
||||
| **Display name** | Preferred display name for your storage. |
|
||||
| **Description** | (Optional) Add description of storage. |
|
||||
| **Provider** | From drop-down list select **Google Cloud Storage**. |
|
||||
| **Bucket name** | Name of the bucket. You can find it on the [storage browser page](https://console.cloud.google.com/storage/browser). |
|
||||
| **Authentication type** | Depends on the bucket setup: <br><li>**Authenticated access**: Select **Key file** and upload the key file from computer. <br> **Advanced**: For self-hosted solution, if the key file was not attached, then environment variable `GOOGLE_APPLICATION_CREDENTIALS` that was specified for an environment will be used. For more information, consult [Authenticate to Cloud services using client libraries](https://cloud.google.com/docs/authentication/client-libraries#setting_the_environment_variable).<br><li> **Anonymous access**: for anonymous access. Public access to the bucket must be enabled. |
|
||||
| **Prefix** | (Optional) Used to filter data from the bucket. By setting a default prefix, you ensure that only data from a specific folder in the cloud is used in CVAT. This will affect which files you see when creating a task with cloud data. |
|
||||
| **Project ID** | [Project ID](#authenticated-access). <br>For more information, consult [projects page](https://cloud.google.com/resource-manager/docs/creating-managing-projects) and [cloud resource manager page](https://console.cloud.google.com/cloud-resource-manager). <br>**Note:** Project name does not match the project ID. |
|
||||
| **Location** | (Optional) Choose a region from the list or add a new one. For more information, consult [**Available locations**](https://cloud.google.com/storage/docs/locations#available-locations). |
|
||||
| **Manifests** | (Optional) Select **+ Add manifest** and enter the name of the manifest file with an extension. For example: `manifest.jsonl`. |
|
||||
| **Prefix** | (Optional) Used to filter data from the bucket. By setting a default prefix, you ensure that only data from a specific folder in the cloud is used in CVAT. This will affect which files you see when creating a task with cloud data. |
|
||||
| **Project ID** | [Project ID](#authenticated-access). <br>For more information, consult [projects page](https://cloud.google.com/resource-manager/docs/creating-managing-projects) and [cloud resource manager page](https://console.cloud.google.com/cloud-resource-manager). <br>**Note:** Project name does not match the project ID. |
|
||||
| **Location** | (Optional) Choose a region from the list or add a new one. For more information, consult [**Available locations**](https://cloud.google.com/storage/docs/locations#available-locations). |
|
||||
| **Manifests** | (Optional) Select **+ Add manifest** and enter the name of the manifest file with an extension. For example: `manifest.jsonl`. |
|
||||
|
||||
<!--lint enable maximum-line-length-->
|
||||
|
||||
@@ -424,15 +424,15 @@ Fill in the following fields:
|
||||
|
||||
<!--lint disable maximum-line-length-->
|
||||
|
||||
| CVAT | Azure |
|
||||
| ----------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| **Display name** | Preferred display name for your storage. |
|
||||
| **Description** | (Optional) Add description of storage. |
|
||||
| **Provider** | From drop-down list select **Azure Blob Container**. |
|
||||
| **Container name`** | Name of the cloud storage container. |
|
||||
| CVAT | Azure |
|
||||
| ----------------------- | ----- |
|
||||
| **Display name** | Preferred display name for your storage. |
|
||||
| **Description** | (Optional) Add description of storage. |
|
||||
| **Provider** | From drop-down list select **Azure Blob Container**. |
|
||||
| **Container name`** | Name of the cloud storage container. |
|
||||
| **Authentication type** | Depends on the container setup. <br>**[Account name and SAS token](https://docs.microsoft.com/en-us/azure/cognitive-services/translator/document-translation/create-sas-tokens?tabs=blobs)**: <ul><li>**Account name** enter storage account name. <li>**SAS token** is located in the **Shared access signature** section of your [Storage account](#sas-token).</ul>. **[Anonymous access](https://docs.microsoft.com/en-us/azure/storage/blobs/anonymous-read-access-configure?tabs=portal)**: for anonymous access **Allow enabling public access on containers** must be enabled. |
|
||||
| **Prefix** | (Optional) Used to filter data from the bucket. By setting a default prefix, you ensure that only data from a specific folder in the cloud is used in CVAT. This will affect which files you see when creating a task with cloud data. |
|
||||
| **Manifests** | (Optional) Select **+ Add manifest** and enter the name of the manifest file with an extension. For example: `manifest.jsonl`. |
|
||||
| **Prefix** | (Optional) Used to filter data from the bucket. By setting a default prefix, you ensure that only data from a specific folder in the cloud is used in CVAT. This will affect which files you see when creating a task with cloud data. |
|
||||
| **Manifests** | (Optional) Select **+ Add manifest** and enter the name of the manifest file with an extension. For example: `manifest.jsonl`. |
|
||||
|
||||
<!--lint enable maximum-line-length-->
|
||||
|
||||
|
||||
@@ -138,8 +138,8 @@ To add an attribute:
|
||||
|
||||
|
||||
|
||||
2. In the **Name** field, enter the attribute name.
|
||||
3. In the drop-down menu, select the way to display the attribute in the **Objects menu**:
|
||||
1. In the **Name** field, enter the attribute name.
|
||||
1. In the drop-down menu, select the way to display the attribute in the **Objects menu**:
|
||||
|
||||
- `Select` enables a drop-down list, from which you can select an attribute. <br>If in
|
||||
the **Attribute value** field you add `__undefined__`,
|
||||
@@ -253,21 +253,21 @@ The following parameters are available:
|
||||
|
||||
<!--lint disable maximum-line-length-->
|
||||
|
||||
| Element | Description |
|
||||
| ----------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| Sorting method | **Note:** Does not work for the video data. <br><br>Several methods to sort the data. <br> For example, the sequence `2.jpeg`, `10.jpeg`, `1.jpeg` after sorting will be: <br><br><li> **Lexicographica**: `1.jpeg`, `10.jpeg`, `2.jpeg` <li> **Natural**: `1.jpeg`, `2.jpeg`, `10.jpeg` <li> **Predefined**: `2.jpeg`, `10.jpeg`, `1.jpeg` <li> **Random** uploads data in random order. |
|
||||
| Prefer zip chunks | Use this parameter to divide your video or image dataset for annotation into short video clips a zip file of frames. <br>Zip files are larger but do not require decoding on the client side, and video clips are smaller but require decoding. <br>It is recommended to turn off this parameter for video tasks to reduce traffic between the client side and the server. |
|
||||
| Use cache | Select the checkbox to enable _on-the-fly_ data processing to reduce task creation time and store data in a cache with a policy of <br>evicting less popular items. <br><br>For more information, see {{< ilink "/docs/manual/advanced/data-on-fly" "Data preparation on the fly" >}}. |
|
||||
| Image quality | CVAT has two types of data: original quality and compressed. Original quality images are used for dataset export<br> and automatic annotation. Compressed images are used only for annotations to reduce traffic between the server <br>and client side. <br> It is recommended to adjust the compression level only if the images contain small objects that are not <br>visible in the original quality. <br> Values range from `5` (highly compressed images) to `100` (not compressed). |
|
||||
| Element | Description |
|
||||
| ----------------- | ----------- |
|
||||
| Sorting method | **Note:** Does not work for the video data. <br><br>Several methods to sort the data. <br> For example, the sequence `2.jpeg`, `10.jpeg`, `1.jpeg` after sorting will be: <br><br><li> **Lexicographica**: `1.jpeg`, `10.jpeg`, `2.jpeg` <li> **Natural**: `1.jpeg`, `2.jpeg`, `10.jpeg` <li> **Predefined**: `2.jpeg`, `10.jpeg`, `1.jpeg` <li> **Random** uploads data in random order. |
|
||||
| Prefer zip chunks | Use this parameter to divide your video or image dataset for annotation into short video clips a zip file of frames. <br>Zip files are larger but do not require decoding on the client side, and video clips are smaller but require decoding. <br>It is recommended to turn off this parameter for video tasks to reduce traffic between the client side and the server. |
|
||||
| Use cache | Select the checkbox to enable _on-the-fly_ data processing to reduce task creation time and store data in a cache with a policy of <br>evicting less popular items. <br><br>For more information, see {{< ilink "/docs/manual/advanced/data-on-fly" "Data preparation on the fly" >}}. |
|
||||
| Image quality | CVAT has two types of data: original quality and compressed. Original quality images are used for dataset export<br> and automatic annotation. Compressed images are used only for annotations to reduce traffic between the server <br>and client side. <br> It is recommended to adjust the compression level only if the images contain small objects that are not <br>visible in the original quality. <br> Values range from `5` (highly compressed images) to `100` (not compressed). |
|
||||
| Overlap size | Use this parameter to create overlapped segments, making tracking continuous from one segment to another. <br><br>**Note** that this functionality only works for bounding boxes. <br><br>This parameter has the following options: <br><br>**Interpolation task** (video sequence). If you annotate with a bounding box on two adjacent segments, they will be<br> merged into a single bounding box. In case the overlap is zero or the bounding box is inaccurate (not enclosing the object <br>properly, misaligned or distorted) on the adjacent segments, it may be difficult to accurately interpolate the object's <br>movement between the segments. As a result, multiple tracks will be created for the same object. <br><br>**Annotation task** (independent images). If an object exists on overlapped segments with overlap greater than zero, <br>and the annotation of these segments is done properly, then the segments will be automatically merged into a single<br> object. If the overlap is zero or the annotation is inaccurate (not enclosing the object properly, misaligned, distorted) on the<br> adjacent segments, it may be difficult to accurately track the object. As a result, multiple bounding boxes will be <br>created for the same object. <br><br>If the annotations on different segments (on overlapped frames) are very different, you will have two shapes <br>for the same object. <br><br>To avoid this, accurately annotate the object on the first segment and the same object on the second segment to create a track <br>between two annotations. |
|
||||
| Segment size | Use this parameter to divide a dataset into smaller parts. For example, if you want to share a dataset among multiple<br> annotators, you can split it into smaller sections and assign each section to a separate job. <br>This allows annotators to work on the same dataset concurrently. |
|
||||
| Start frame | Defines the first frame of the video. |
|
||||
| Stop frame | Defines the last frame of the video. |
|
||||
| Frame step | Use this parameter to filter video frames or images in a dataset. Specify frame step value to include only <br>certain frames or images in the dataset. <br>For example, if the frame step value is `25`, the dataset will include every 25th frame or image. If a video <br>has `100` frames, setting the frame step to `25` will include only frames `1`, `26`, `51`, `76`, and `100` in the dataset. <br>This can be useful for reducing the size of the dataset, or for focusing on specific frames or images<br>of particular interest. |
|
||||
| Chunk size | Defines amount of frames to be packed in a chunk when send from client to server. <br>The server defines automatically if the chunk is empty. <br>Recommended values: <li> 1080p or less: 36 <li> 2k or less: 8 <li>16 - 4k or less: 4 <li>8 - More: 1 - 4 |
|
||||
| Issue tracker | Use this parameter to specify the issue tracker URL. |
|
||||
| Source storage | Specify the source storage for importing resources like annotations and backups. <br>If the task was assigned to the project, use the **Use project source storage** toggle to determine whether to <br>use project values or specify new ones. |
|
||||
| Target storage | Specify the target storage (local or cloud) for exporting resources like annotations and backups. <br>If the task is created in the project, use the **Use project target storage** toggle to determine whether to<br> use project values or specify new ones. |
|
||||
| Segment size | Use this parameter to divide a dataset into smaller parts. For example, if you want to share a dataset among multiple<br> annotators, you can split it into smaller sections and assign each section to a separate job. <br>This allows annotators to work on the same dataset concurrently. |
|
||||
| Start frame | Defines the first frame of the video. |
|
||||
| Stop frame | Defines the last frame of the video. |
|
||||
| Frame step | Use this parameter to filter video frames or images in a dataset. Specify frame step value to include only <br>certain frames or images in the dataset. <br>For example, if the frame step value is `25`, the dataset will include every 25th frame or image. If a video <br>has `100` frames, setting the frame step to `25` will include only frames `1`, `26`, `51`, `76`, and `100` in the dataset. <br>This can be useful for reducing the size of the dataset, or for focusing on specific frames or images<br>of particular interest. |
|
||||
| Chunk size | Defines amount of frames to be packed in a chunk when send from client to server. <br>The server defines automatically if the chunk is empty. <br>Recommended values: <li> 1080p or less: 36 <li> 2k or less: 8 <li>16 - 4k or less: 4 <li>8 - More: 1 - 4 |
|
||||
| Issue tracker | Use this parameter to specify the issue tracker URL. |
|
||||
| Source storage | Specify the source storage for importing resources like annotations and backups. <br>If the task was assigned to the project, use the **Use project source storage** toggle to determine whether to <br>use project values or specify new ones. |
|
||||
| Target storage | Specify the target storage (local or cloud) for exporting resources like annotations and backups. <br>If the task is created in the project, use the **Use project target storage** toggle to determine whether to<br> use project values or specify new ones. |
|
||||
|
||||
<!--lint enable maximum-line-length-->
|
||||
|
||||
|
||||
@@ -58,19 +58,19 @@ Next, specify the parameters in the task configurator:
|
||||
A step-by-step example for creating the multiple tasks:
|
||||
|
||||
1. In the **Name** field, enter the `Create_multitask-{{index}}-{{file_name}}`.
|
||||
2. Add labels.
|
||||
3. Select files. <br>In case there are more than four files,
|
||||
1. Add labels.
|
||||
1. Select files. <br>In case there are more than four files,
|
||||
only the total number of selected files will be displayed:
|
||||
|
||||
4. Select **Submit `N` tasks**
|
||||
1. Select **Submit `N` tasks**
|
||||
|
||||
|
||||
|
||||
5. You will see a progress bar that shows the progress of the tasks being created:
|
||||
1. You will see a progress bar that shows the progress of the tasks being created:
|
||||
|
||||
|
||||
|
||||
6. Select **Ok**.
|
||||
1. Select **Ok**.
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -30,7 +30,7 @@ On the **Requests** page, requests are displayed as cards. Each card contains th
|
||||
The following statuses are used to indicate the state of each request:
|
||||
|
||||
| Status | Description |
|
||||
| --------------| --------------------------------------------------------------------------- |
|
||||
| ------------- | --------------------------------------------------------------------------- |
|
||||
| `In Progress` | The requested job is being executed. The progress percentage is shown. |
|
||||
| `Queued` | The requested job is waiting to be picked up by a worker. |
|
||||
| `Finished` | The requested job is finished. Downloading the result is available. |
|
||||
|
||||
@@ -24,7 +24,7 @@ In the **Player** tab, you can:
|
||||
- `Smooth image` checkbox — smooth image when zoom-in it.
|
||||
|
||||
| _smoothed_ | _pixelized_ |
|
||||
|---------------------------|----------------------------|
|
||||
| :-----------------------: | :------------------------: |
|
||||
|  |  |
|
||||
|
||||
## Workspace
|
||||
|
||||
Reference in New Issue
Block a user