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.
The code for this algorithm in Python
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A biometrics algorithm that compares a probe image to a set of template images and outputs a comparison score. This algorithm was trained on the ATNT database and reproduces the EigenFaces face recognition baseline. The input images must be gray-scale and of the size of 92x92.
This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.