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Small edits (#162)

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pollfly
2022-01-18 13:23:47 +02:00
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parent 8f4851c5c1
commit e72ca23b54
24 changed files with 96 additions and 93 deletions
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docs/hyperdatasets/annotations.md
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@@ -38,7 +38,7 @@ frame.add_annotation(box2d_xywh=(10, 10, 30, 20), labels=['test'])
The `box2d_xywh` argument specifies the coordinates of the annotation's bounding box, and the `labels` argument specifies
a list of labels for the annotation.
When adding an annotation there are a few options for entering the annotation's boundaries, including:
Enter the annotation's boundaries in one of the following ways:
* `poly2d_xy` - A list of floating points (x,y) to create for single polygon, or a list of floating points lists for a
complex polygon.
* `ellipse2d_xyrrt` - A List consisting of cx, cy, rx, ry, and theta for an ellipse.

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docs/hyperdatasets/masks.md
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@@ -8,7 +8,7 @@ source data to the ClearML Enterprise platform. That source data is a **mask**.
Masks are used in deep learning for semantic segmentation.
Masks correspond to raw data where the objects to be detected are marked with colors in the masks. The colors
are RGB values and represent the objects, which are labeled for segmentation.
are RGB values and represent the objects that are labeled for segmentation.
In frames used for semantic segmentation, the metadata connecting the mask files / images to the ClearML Enterprise platform,
and the RGB values and labels used for segmentation are separate. They are contained in two different dictionaries of