If you add an AI tool downstream A downstream tool requires a previously configured upstream tool and its configuration as input. The tool is placed after its upstream tool in the toolchain. from another AI tool, extra parameters appear in the ROI The Region of Interest (ROI) is the area of the image where the vision tool operates. step of the downstream tool.

If the Segmenter tool is the upstream An upstream tool comes first in the toolchain and its output defines a downstream tool. An upstream tool can have several downstream tools. tool for a Classify or Locate tool, the following optional parameters appear in the downstream tool ROI settings:

ROI Per Blob Parameter

Enabling the ROI per Blob option on the downstream tool generates an ROI for each blob received from the Segmenter tool.

The views processed by the tool increase from N to N x number of blobs. The ROI of each blob is displayed, and the graphic resizes automatically as you adjust the parameters.

Parameter | Description
Fixed Size | A fixed-size ROI is created for each blob, centered on its center of mass. Specify the fixed size using width and height parameters.
Dynamic Size | For each input blob, an ROI is generated for every blob based on blob bounding box. Choose between the Absolute or Relative border. Absolute Border: ROI is centered at blob center ROI size is blob bounding-box size plus (2 * absolute_value) Relative Border: ROI is centered at blob center ROI size is blob bounding-box size multiplied by (1 + 2 * relative_value)

Mask From Blob Parameter

Mask from Blob performs dynamic masking. The tool uses the blobs to generate masks and apply them to the input view during the ROI phase. The mask graphics are displayed, and the graphics resize automatically as you adjust the parameters.

Note: By default, the mask is applied to all the view pixels outside the range of the blob(s).

Parameter | Description
Invert | When selected, the mask is applied only to the pixels of the blob(s).
Grow Shrink | Adjust the size of the mask by specifying the number of pixels to extend or reduce the mask beyond the blob edges. Positive numbers increase the mask area, and negative numbers reduce the mask area.