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| Since | 20.5 |
This node prepares the label metadata that will be written to a COCO JSON at render time. It also prepares the ID attribute for Karma to render the appropriate ground truth data.
Optionally this node takes the output of the 
Labs ML CV Keypoint Metadata in the second input, which prepares the mesh/keypoints for the Labs ML CV ROP Annotation Output SOP and associates the keypoints with the label created by this node.
The original ML Computer Vision tools were developed by the Synthetic Data team at Endava PLC.
パラメータ ¶
Group
A subset of points in the input geometry to run the program on. Leave this blank to affect all points in the input.
Group Type
What the group is made of (point, vertex, primitive etc.)
Category ID ¶
Category ID
The integer that will represent the category in the COCO JSON.
Category Name
The string name of the category that will be associated with the integer category ID.
Enable Instance ID
Enables the creation of the Instance ID attribute.
Instance ID ¶
ID Type
The type of instance ID to create.
ID from Index
Instance ID will match the Category ID, generally used for single objects.
ID from Attribute
Instance ID will be generated from an attribute in Houdini such as crowd ID or connectivity, used when multiple objects exist for the same category.
Instance ID
An integer used to distinguish objects within the same category as separate entities. This value is the pixel value rendered in the ID pass from the Karma GT ROP and used to generate COCO bounding boxes and segmentation.
Examples ¶
Tip
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| See also |
