51 lines
1.8 KiB
ReStructuredText
51 lines
1.8 KiB
ReStructuredText
Saving and Loading a FaceRecognizer
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===================================
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Introduction
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------------
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Saving and loading a :ocv:class:`FaceRecognizer` is very important. Training a FaceRecognizer can be a very
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time-intense task, plus it's often impossible to ship the whole face database to the user of your product.
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The task of saving and loading a FaceRecognizer is easy with :ocv:class:`FaceRecognizer`. You only have to
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call :ocv:func:`FaceRecognizer::load` for loading and :ocv:func:`FaceRecognizer::save` for saving a
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:ocv:class:`FaceRecognizer`.
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I'll adapt the Eigenfaces example from the :doc:`../facerec_tutorial`: Imagine we want to learn the Eigenfaces
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of the `AT&T Facedatabase <http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html>`_ store the
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model to a YAML file and then load it again.
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From the loaded model, we'll get a prediction, show the mean, eigenfaces and the image reconstruction.
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Using FaceRecognizer::save and FaceRecognizer::load
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-----------------------------------------------------
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.. literalinclude:: ../src/facerec_save_load.cpp
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:language: cpp
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:linenos:
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Results
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-------
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``eigenfaces_at.yml`` then contains the model state, we'll simply look at the first 10 lines with ``head eigenfaces_at.yml``:
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.. code-block:: none
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philipp@mango:~/github/libfacerec-build$ head eigenfaces_at.yml
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%YAML:1.0
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num_components: 399
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mean: !!opencv-matrix
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rows: 1
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cols: 10304
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dt: d
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data: [ 8.5558897243107765e+01, 8.5511278195488714e+01,
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8.5854636591478695e+01, 8.5796992481203006e+01,
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8.5952380952380949e+01, 8.6162907268170414e+01,
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8.6082706766917283e+01, 8.5776942355889716e+01,
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And here is the Reconstruction, which is the same as the original:
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.. image:: ../img/eigenface_reconstruction_opencv.png
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:align: center
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