Cropping of a grayscale image, using absolute coordinates
Forked from Kanma/cropping_grayscale__u8_to_f/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.
| Endpoint Name | Data Format | Nature |
|---|---|---|
| image | system/array_2d_floats/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 | |
| height | Height of the cropping area | uint32 | 1000 | |
| width | Width of the cropping area | uint32 | 1000 |
The code for this algorithm in Python
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