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clarified spec

This commit is contained in:
Davis King 2013-11-11 17:46:50 -05:00
parent 6401e6931e
commit 60a1bdc9a8
1 changed files with 45 additions and 38 deletions
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83
dlib/image_processing/scan_fhog_pyramid_abstract.h
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@ -10,6 +10,43 @@
namespace dlib
{
// ----------------------------------------------------------------------------------------
template <
typename Pyramid_type
>
matrix<unsigned char> draw_fhog (
const object_detector<scan_fhog_pyramid<Pyramid_type> >& detector,
const long cell_draw_size = 15
);
/*!
requires
- detector.get_w().size() >= detector.get_scanner().get_num_dimensions()
(i.e. the detector must have been populated with a HOG filter)
ensures
- Converts the HOG filters in the given detector into an image suitable for
display on the screen. In particular, we draw all the HOG cells into a
grayscale image in a way that shows the magnitude and orientation of the
gradient energy in each cell. The resulting image is then returned.
!*/
// ----------------------------------------------------------------------------------------
template <
typename Pyramid_type
>
unsigned long num_separable_filters (
const object_detector<scan_fhog_pyramid<Pyramid_type> >& detector
);
/*!
requires
- detector.get_w().size() >= detector.get_scanner().get_num_dimensions()
(i.e. the detector must have been populated with a HOG filter)
ensures
- Returns the number of separable filters necessary to represent the HOG
filters in the given detector.
!*/
// ----------------------------------------------------------------------------------------
template <
@ -24,6 +61,14 @@ namespace dlib
compatible interface
INITIAL VALUE
- get_padding() == 1
- get_cell_size() == 8
- get_detection_window_width() == 64
- get_detection_window_height() == 64
- get_max_pyramid_levels() == 1000
- get_min_pyramid_layer_width() == 64
- get_min_pyramid_layer_height() == 64
- get_nuclear_norm_regularization_strength() == 0
WHAT THIS OBJECT REPRESENTS
This object is a tool for running a fixed sized sliding window classifier
@ -38,7 +83,6 @@ namespace dlib
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, Sep. 2010
Since these HOG features have been shown to give superior performance.
THREAD SAFETY
Concurrent access to an instance of this object is not safe and should be
protected by a mutex lock except for the case where you are copying the
@ -482,43 +526,6 @@ namespace dlib
provides deserialization support
!*/
// ----------------------------------------------------------------------------------------
template <
typename Pyramid_type
>
matrix<unsigned char> draw_fhog (
const object_detector<scan_fhog_pyramid<Pyramid_type> >& detector,
const long cell_draw_size = 15
);
/*!
requires
- detector.get_w().size() >= detector.get_scanner().get_num_dimensions()
(i.e. the detector must have been populated with a HOG filter)
ensures
- Converts the HOG filters in the given detector into an image suitable for
display on the screen. In particular, we draw all the HOG cells into a
grayscale image in a way that shows the magnitude and orientation of the
gradient energy in each cell. The resulting image is then returned.
!*/
// ----------------------------------------------------------------------------------------
template <
typename Pyramid_type
>
unsigned long num_separable_filters (
const object_detector<scan_fhog_pyramid<Pyramid_type> >& detector
);
/*!
requires
- detector.get_w().size() >= detector.get_scanner().get_num_dimensions()
(i.e. the detector must have been populated with a HOG filter)
ensures
- Returns the number of separable filters necessary to represent the HOG
filters in the given detector.
!*/
// ----------------------------------------------------------------------------------------
}