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OpenDAS
dlib
Commits
0104e4bd
Commit
0104e4bd
authored
Mar 24, 2013
by
Davis King
Browse files
Updated specs to reference both the scan_image_pyramid and scan_image_boxes
objects.
parent
7847038b
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10 deletions
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-10
dlib/image_processing/object_detector_abstract.h
dlib/image_processing/object_detector_abstract.h
+8
-7
dlib/svm/structural_object_detection_trainer_abstract.h
dlib/svm/structural_object_detection_trainer_abstract.h
+2
-1
dlib/svm/structural_svm_object_detection_problem_abstract.h
dlib/svm/structural_svm_object_detection_problem_abstract.h
+3
-2
No files found.
dlib/image_processing/object_detector_abstract.h
View file @
0104e4bd
...
@@ -21,15 +21,16 @@ namespace dlib
...
@@ -21,15 +21,16 @@ namespace dlib
/*!
/*!
REQUIREMENTS ON image_scanner_type
REQUIREMENTS ON image_scanner_type
image_scanner_type must be an implementation of
image_scanner_type must be an implementation of
dlib/image_processing/scan_image_pyramid_abstract.h
dlib/image_processing/scan_image_pyramid_abstract.h or
dlib/image_processing/scan_image_boxes_abstract.h
WHAT THIS OBJECT REPRESENTS
WHAT THIS OBJECT REPRESENTS
This object is a tool for detecting the positions of objects in
This object is a tool for detecting the positions of objects in
an image.
an image.
In particular, it is a simple container to aggregate
In particular, it is a simple container to aggregate
an instance of the
an instance of the
scan_image_
pyramid
class, the weight vector
scan_image_pyramid or
scan_image_
boxes
class
es
, the weight vector
needed by
ne
eded by scan_image_pyramid
, and finally an instance of
o
ne
of these image scanners
, and finally an instance of
test_box_overlap.
test_box_overlap.
The test_box_overlap object is used to perform
The test_box_overlap object is used to perform
non-max suppression on the
non-max suppression on the output of the scan_image_pyramid
object.
output of the image scanner
object.
!*/
!*/
public:
public:
typedef
typename
image_scanner_type
::
feature_vector_type
feature_vector_type
;
typedef
typename
image_scanner_type
::
feature_vector_type
feature_vector_type
;
...
...
dlib/svm/structural_object_detection_trainer_abstract.h
View file @
0104e4bd
...
@@ -22,7 +22,8 @@ namespace dlib
...
@@ -22,7 +22,8 @@ namespace dlib
/*!
/*!
REQUIREMENTS ON image_scanner_type
REQUIREMENTS ON image_scanner_type
image_scanner_type must be an implementation of
image_scanner_type must be an implementation of
dlib/image_processing/scan_image_pyramid_abstract.h
dlib/image_processing/scan_image_pyramid_abstract.h or
dlib/image_processing/scan_image_boxes_abstract.h
WHAT THIS OBJECT REPRESENTS
WHAT THIS OBJECT REPRESENTS
This object is a tool for learning to detect objects in images based on a
This object is a tool for learning to detect objects in images based on a
...
...
dlib/svm/structural_svm_object_detection_problem_abstract.h
View file @
0104e4bd
...
@@ -41,7 +41,8 @@ namespace dlib
...
@@ -41,7 +41,8 @@ namespace dlib
/*!
/*!
REQUIREMENTS ON image_scanner_type
REQUIREMENTS ON image_scanner_type
image_scanner_type must be an implementation of
image_scanner_type must be an implementation of
dlib/image_processing/scan_image_pyramid_abstract.h
dlib/image_processing/scan_image_pyramid_abstract.h or
dlib/image_processing/scan_image_boxes_abstract.h
REQUIREMENTS ON image_array_type
REQUIREMENTS ON image_array_type
image_array_type must be an implementation of dlib/array/array_kernel_abstract.h
image_array_type must be an implementation of dlib/array/array_kernel_abstract.h
...
@@ -49,7 +50,7 @@ namespace dlib
...
@@ -49,7 +50,7 @@ namespace dlib
WHAT THIS OBJECT REPRESENTS
WHAT THIS OBJECT REPRESENTS
This object is a tool for learning the parameter vector needed to use
This object is a tool for learning the parameter vector needed to use
a scan_image_pyramid object.
a scan_image_pyramid
or scan_image_boxes
object.
It learns the parameter vector by formulating the problem as a structural
It learns the parameter vector by formulating the problem as a structural
SVM problem. The general approach is similar to the method discussed in
SVM problem. The general approach is similar to the method discussed in
...
...
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