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_uint8/1 | Input |
| scores | system/integer/1 | Output |
xxxxxxxxxximport numpy as npclass Algorithm: def setup(self, parameters): # perform some setup using the parameters # here, we set the score to output # self.score_to_output = parameters['score_to_output'] return True def process(self, inputs,outputs): # read the image from the input (will be np array) image = inputs['image'].data.value # perform some processing output = np.random.randint(low=0, high=100)# self.score_to_output # write to outputs outputs['scores'].write({'value':output}) return TrueThe code for this algorithm in Python
The ruler at 80 columns indicate suggested POSIX line breaks (for readability).
The editor will automatically enlarge to accomodate the entirety of your input
Use keyboard shortcuts for search/replace and faster editing. For example, use Ctrl-F (PC) or Cmd-F (Mac) to search through this box