Cropping of a grayscale image, using absolute coordinates

This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.
This algorithm is splittable

Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.

Group: main

Endpoint Name Data Format Nature
image system/array_2d_uint8/1 Input
cropped_image system/array_2d_floats/1 Output

Parameters allow users to change the configuration of an algorithm when scheduling an experiment

Name Description Type Default Range/Choices
y Top coordinate of the cropping area uint32 0
x Right coordinate of the cropping area uint32 0
width Width of the cropping area uint32 1000
normalized If true, the values are normalized between 0 and 1 bool False
height Height of the cropping area uint32 1000

The code for this algorithm in Python
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Could not find any documentation for this object.
No experiments are using this algorithm.
This algorithm was never executed.
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