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 |
| score | system/integer/1 | Output |
xxxxxxxxxximport numpy as npclass Algorithm: def setup(self, parameters): # perform some setup using the parameters return True def process(self, inputs, data_loaders, 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) # write to outputs outputs['score'].write({'value':output}) return TrueThe code for this algorithm in Python
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Sample algorithm that takes an image and outputs a score defined by a parameter. Algorithms used for the competition should have the same inputs and outputs as the algorithm shown here.