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
probe_projections system/array_2d_floats/1 Input
comparison_ids system/array_1d_uint64/1 Input
probe_id system/uint64/1 Input
probe_client_id system/uint64/1 Input
scores tutorial/probe_scores/1 Output

Group: templates

Endpoint Name Data Format Nature
template_client_id system/uint64/1 Input
template_id system/uint64/1 Input
template_projections system/array_2d_floats/1 Input

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

Experiments

Updated Name Databases/Protocols Analyzers
pkorshunov/tutorial/eigenface/1/eigenface-with-8-components atnt/1@idiap tutorial/postperf_iso/1
jastuchi/tutorial/eigenface/1/eigenface-with-11-components atnt/1@idiap tutorial/postperf_iso/1
marcus/tutorial/eigenface/1/eigenface-with-23-components atnt/1@idiap tutorial/postperf_iso/1
murilovarges/tutorial/eigenface/1/eigenfaces_15comp_unesp atnt/1@idiap tutorial/postperf_iso/1
kgrm/tutorial/eigenface/1/eigenfaces_11comp atnt/1@idiap tutorial/postperf_iso/1
anjos/tutorial/eigenface/1/demo42 atnt/1@idiap tutorial/postperf/1
tutorial/tutorial/full_fisherface/1/fullfisherfaces_10and4ncomp atnt/1@idiap_test_eyepos tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_fisherface/1/fullfisherfaces_5and2ncomp atnt/1@idiap_test_eyepos tutorial/eerhter_postperf_iso/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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