Official Analyzer for LiveDet Iris 2020 competition

This algorithm is a sequential one. The platform will call its process() method once per data incoming on its inputs.
This algorithm is an analyzer. It can only be used on analysis blocks.

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.

Group: main

Endpoint Name Data Format Nature
scores system/integer/1 Input
category system/integer/1 Input

Analyzers may produce any number of results. Once experiments using this analyzer are done, you may display the results or filter experiments using criteria based on them.

Name Type
rocAll plot/isoroc/1
numberCorrectT5Samples int32
totalNumberT1Samples int32
totalNumberT5Samples int32
totalNumberT3Samples int32
numberNotProcessedT4Samples int32
totalNumberT6Samples int32
totalNumberT2Samples int32
numberCorrectT3Samples int32
rocT1T3 plot/isoroc/1
ACER float32
numberNotProcessedT5Samples int32
rocT1T2 plot/isoroc/1
numberNotProcessedT6Samples int32
numberNotProcessedT3Samples int32
numberCorrectT6Samples int32
numberCorrectT2Samples int32
rocT1T6 plot/isoroc/1
numberCorrectT4Samples int32
numberNotProcessedT2Samples int32
totalNumberT4Samples int32
numberCorrectT1Samples int32
rocT1T4 plot/isoroc/1
numberNotProcessedT1Samples int32
rocT1T5 plot/isoroc/1

The code for this algorithm in Python
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Could not find any documentation for this object.


Updated Name Databases/Protocols Analyzers
amohammadi/amohammadi/livdet/1/livdet livdet-iris-2020/1@Main amohammadi/livdet_analyzer/1

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.

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