Small edits (#821)

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pollfly 2024-04-07 11:16:04 +03:00 committed by GitHub
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5 changed files with 11 additions and 11 deletions

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@ -6,7 +6,7 @@ With ClearML Enterprise, annotations can be applied to video and image frames. [
two types of annotations: **Frame objects** and **Frame labels**.
Annotation Tasks can be used to efficiently organize the annotation of frames in Hyper-Dataset versions (see
[Annotations Task Page](webapp/webapp_annotator.md)).
[Annotation Tasks](webapp/webapp_annotator.md)).
For information about how to view, create, and manage annotations using the WebApp, see [Annotating Images and Videos](webapp/webapp_annotator.md#annotating-images-and-video).
@ -27,8 +27,7 @@ Frame labels are applied to an entire frame, not a region in a frame.
### Adding a Frame Object
To add a frame object annotation to a SingleFrame, use the [`SingleFrame.add_annotation`](../references/hyperdataset/singleframe.md#add_annotation)
method.
To add a frame object annotation to a SingleFrame, use [`SingleFrame.add_annotation()`](../references/hyperdataset/singleframe.md#add_annotation):
```python
# a bounding box labeled "test" at x=10,y=10 with width of 30px and height of 20px
@ -49,7 +48,8 @@ Enter the annotation's boundaries in one of the following ways:
Adding a frame label is similar to creating a frame object, except that coordinates don't need to be specified, since
the whole frame is being referenced.
Use the `SingleFrame.add_annotation` method, but use only the `labels` parameter.
Use [`SingleFrame.add_annotation()`](../references/hyperdataset/singleframe.md#add_annotation), but specify only the
`labels` parameter:
```python
# labels for the whole frame

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@ -78,8 +78,8 @@ myVersion.add_frames(frames)
### Accessing a FrameGroup
To access a FrameGroup, use the `DatasetVersion.get_single_frame` method, just like when
[accessing a SingleFrame](single_frames.md#accessing-singleframes).
To access a FrameGroup, use [`DatasetVersion.get_single_frame()`](../references/hyperdataset/hyperdatasetversion.md#datasetversionget_single_frame),
just like when [accessing a SingleFrame](single_frames.md#accessing-singleframes):
```python
# Get the FrameGroup

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@ -270,7 +270,7 @@ myDatasetversion.add_frames(frames)
### Accessing SingleFrames
To access a SingleFrame, use [`DatasetVersion.get_single_frame()`](../references/hyperdataset/hyperdatasetversion.md#datasetversionget_single_frame).
To access a SingleFrame, use [`DatasetVersion.get_single_frame()`](../references/hyperdataset/hyperdatasetversion.md#datasetversionget_single_frame):
```python
from allegroai import DatasetVersion

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@ -44,11 +44,11 @@ Hover over the model configuration area to access the following actions:
## Label Enumeration
The **Label Enumeration** tab displays for each class label (“Label”) its name and enumerated value (“ID”).
The **LABELS** tab displays for each class label (`Label`) its name and enumerated value (`ID`).
![Model label enumeration](../img/webapp_model_labels.png)
To modify / add / delete class labels (for Draft models), hover over the label table, then click EDIT. This opens the
To modify / add / delete class labels (for *Draft* models), hover over the label table and click **EDIT**. This opens the
label editing window.
![Model label editing](../img/webapp_model_labels_edit.png)
@ -60,7 +60,7 @@ The **METADATA** tab lists the model's metadata entries, which consist of a key,
![Model metadata](../img/webapp_model_metadata.png)
To modify / add / delete model metadata items, hover over Metadata, then click EDIT. This opens the Metadata editing
To modify / add / delete model metadata items, hover over the metadata table and click **EDIT**. This opens the metadata editing
window.
![Model metadata editing](../img/webapp_model_metadata_edit.png)

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@ -93,7 +93,7 @@ module.exports = {
'integrations/keras', 'integrations/keras_tuner',
'integrations/langchain',
'integrations/lightgbm', 'integrations/matplotlib',
'integrations/megengine', 'integrations/monai', 'integrations/mmcv', 'integrations/tao',
'integrations/megengine', 'integrations/mmcv', 'integrations/monai', 'integrations/tao',
'integrations/optuna',
'integrations/python_fire', 'integrations/pytorch',
'integrations/ignite',