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AugeLab Studio Manual
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Get ROI

Get ROI Node Documentation

The Get ROI node in AugeLab Studio allows you to extract a region of interest (ROI) from an input image based on the specified ROI coordinates. It enables you to crop a specific area from the image for further processing or analysis.

Node Overview

The Get ROI node takes an image and ROI coordinates as inputs and provides the following output:
  1. 1.
    ROI Image: The region of interest (ROI) extracted from the input image.

Node Properties

  • Node Title: Get ROI
  • Node ID: OP_NODE_GET_ROI

Inputs

The Get ROI node has the following input sockets:
  1. 1.
    Image: The image from which the ROI will be extracted.
  2. 2.
    ROI Coordinates: The coordinates of the region of interest (ROI) to be extracted from the image. The ROI coordinates should be provided as a tuple or list with the format ((x1, y1), (x2, y2)), where (x1, y1) represents the top-left corner of the ROI and (x2, y2) represents the bottom-right corner of the ROI.

Outputs

The Get ROI node has the following output socket:
  1. 1.
    ROI Image: The region of interest (ROI) extracted from the input image. The output is a cropped image representing the specified ROI.

Usage

  1. 1.
    Drag and drop the Get ROI node from the node library onto the canvas in AugeLab Studio.
  2. 2.
    Connect the input image from which the ROI will be extracted to the Image input socket of the Get ROI node.
  3. 3.
    Provide the ROI coordinates by connecting them to the ROI Coordinates input socket of the Get ROI node. The ROI coordinates should be in the format ((x1, y1), (x2, y2)).
  4. 4.
    Run the pipeline.
  5. 5.
    The Get ROI node will extract the specified region of interest (ROI) from the input image.
  6. 6.
    The cropped ROI image will be outputted from the ROI Image output socket of the Get ROI node.
  7. 7.
    Retrieve the output ROI image for further processing or analysis.

Notes

  • The Get ROI node allows you to extract a specific region of interest (ROI) from an input image.
  • The ROI coordinates should be provided as a tuple or list representing the top-left and bottom-right corners of the ROI.
  • The node performs cropping based on the ROI coordinates and outputs the extracted ROI image.
  • The extracted ROI image can be used for further processing, analysis, or visualization in subsequent nodes.
That concludes the documentation for the Get ROI node in AugeLab Studio. Use this node to extract a region of interest (ROI) from an input image based on specified ROI coordinates.
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Image ROI
Last modified 4mo ago