Resizes images to a given bounding box
Forked from anjos/rgb2gray/1
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.
Parameters allow users to change the configuration of an algorithm when scheduling an experiment
|The width of the output image
|The height of the output image
|The interpolation method to use for the resizing operation
|nearest, bilinear, bicubic, cubic
The code for this algorithm in Python
The ruler at 80 columns indicate suggested POSIX line breaks (for readability).
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This converter will normalize input (gray-scaled) images so they all output with the same, parameterized, specifications.