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OpenDAS
dlib
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ba37c88f
"...text-generation-inference.git" did not exist on "7de8a377b067af5d9133874b88f5b0a37452a5eb"
Commit
ba37c88f
authored
Jan 11, 2014
by
Davis King
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Clarified examples now that we have more object detectors in the library.
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20afefd7
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examples/object_detector_advanced_ex.cpp
examples/object_detector_advanced_ex.cpp
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examples/object_detector_ex.cpp
examples/object_detector_ex.cpp
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examples/object_detector_advanced_ex.cpp
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ba37c88f
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/*
/*
This is an example illustrating the process for defining custom
This is an example illustrating the process for defining custom
feature extractors for use with the structural_object_detection_trainer.
bag-of-visual-word style feature extractors for use with the
structural_object_detection_trainer.
NOTICE: This example assumes you are familiar with the contents of the
NOTICE: This example assumes you are familiar with the contents of the
object_detector_ex.cpp example program.
object_detector_ex.cpp example program. Also, if the objects you want to
detect are somewhat rigid in appearance (e.g. faces, pedestrians, etc.)
then you should try the methods shown in the fhog_object_detector_ex.cpp
example program before trying to use the bag-of-visual-word tools shown in
this example.
*/
*/
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examples/object_detector_ex.cpp
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ba37c88f
// The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
// The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
/*
/*
This is an example illustrating the use of the dlib tools for
This is an example illustrating the use of dlib's bag-of-visual-word based
detecting objects in images. In this example we will create
tools for detecting objects in images. In this example we will create three
three simple images, each containing some white squares. We
simple images, each containing some white squares. We will then use the
will then use the sliding window classifier tools to learn to
sliding window classifier tools to learn to detect these squares.
detect these squares.
If the objects you want to detect are somewhat rigid in appearance (e.g.
faces, pedestrians, etc.) then you should try the methods shown in the
fhog_object_detector_ex.cpp example program before trying to use the
bag-of-visual-word tools shown in this example.
*/
*/
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