Sorts the scores into positives and negatives

This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.

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: probes

Endpoint Name Data Format Nature
comparison_ids system/array_1d_uint64/1 Input
probe_client_id system/uint64/1 Input
probe_id system/uint64/1 Input
scores system/array_1d_floats/1 Input
positives system/array_1d_floats/1 Output
negatives system/array_1d_floats/1 Output

Group: models

Endpoint Name Data Format Nature
model_id system/uint64/1 Input
model_client_id system/uint64/1 Input

The code for this algorithm in Python
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This algorithm sorts the scores coming from the comparison of templates and probes according to the ground truth information from the database. If a score comes from a comparsion of a template and a probe from the same identity, it is added to the positives. When the identities of template and probe differ, it is a negative score.

Note

In most of the cases, there are many more negative than positive scores.

Experiments

Updated Name Databases/Protocols Analyzers
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/XM2VTS-PhaseDiff xm2vts/1@darkened-lp1 siebenkopf/EER_HTER/8,siebenkopf/ROC/15
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/XM2VTS-ScalarProduct xm2vts/1@darkened-lp1 siebenkopf/EER_HTER/8,siebenkopf/ROC/15
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/XM2VTS-Canberra xm2vts/1@darkened-lp1 siebenkopf/EER_HTER/8,siebenkopf/ROC/15
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/Banca_P-ScalarProduct banca/1@P siebenkopf/EER_HTER/8,siebenkopf/ROC/15
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/Banca_P-Canberra banca/1@P siebenkopf/EER_HTER/8,siebenkopf/ROC/14
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/Banca_P-PhaseDiff banca/1@P siebenkopf/EER_HTER/8,siebenkopf/ROC/14

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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