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: main

Endpoint Name Data Format Nature
image system/array_2d_uint8/1 Input
id system/uint64/1 Input
projections system/array_2d_floats/1 Output

Unnamed group

Endpoint Name Data Format Nature
subspace_lda tutorial/linear_machine/1 Input
subspace_pca tutorial/linear_machine/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
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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