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submodule
opencv
Commits
e015691b
Commit
e015691b
authored
Nov 24, 2013
by
Mathieu Barnachon
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Fix warnings as errors.
parent
63c23cce
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Showing
1 changed file
with
20 additions
and
15 deletions
+20
-15
train_HOG.cpp
samples/cpp/train_HOG.cpp
+20
-15
No files found.
samples/cpp/train_HOG.cpp
View file @
e015691b
...
...
@@ -38,7 +38,7 @@ void get_svm_detector(const SVM& svm, vector< float > & hog_detector )
decision_func
!=
0
&&
decision_func
->
alpha
!=
0
&&
decision_func
->
sv_count
==
sv_total
);
float
svi
=
0.
f
;
hog_detector
.
clear
();
//clear stuff in vector.
...
...
@@ -108,11 +108,15 @@ void load_images( const string & prefix, const string & filename, vector< Mat >
exit
(
-
1
);
}
while
(
1
)
bool
end_of_parsing
=
false
;
while
(
!
end_of_parsing
)
{
getline
(
file
,
line
);
if
(
line
==
""
)
// no more file to read
{
end_of_parsing
=
true
;
break
;
}
Mat
img
=
imread
(
(
prefix
+
line
).
c_str
()
);
// load the image
if
(
!
img
.
data
)
// invalid image, just skip it.
continue
;
...
...
@@ -133,7 +137,7 @@ void sample_neg( const vector< Mat > & full_neg_lst, vector< Mat > & neg_lst, co
const
int
size_x
=
box
.
width
;
const
int
size_y
=
box
.
height
;
srand
(
time
(
NULL
)
);
srand
(
(
unsigned
int
)
time
(
NULL
)
);
vector
<
Mat
>::
const_iterator
img
=
full_neg_lst
.
begin
();
vector
<
Mat
>::
const_iterator
end
=
full_neg_lst
.
end
();
...
...
@@ -152,16 +156,16 @@ void sample_neg( const vector< Mat > & full_neg_lst, vector< Mat > & neg_lst, co
// From http://www.juergenwiki.de/work/wiki/doku.php?id=public:hog_descriptor_computation_and_visualization
Mat
get_hogdescriptor_visu
(
Mat
&
color_origImg
,
vector
<
float
>&
descriptorValues
,
const
Size
&
size
)
{
{
const
int
DIMX
=
size
.
width
;
const
int
DIMY
=
size
.
height
;
float
zoomFac
=
3
;
Mat
visu
;
resize
(
color_origImg
,
visu
,
Size
(
color_origImg
.
cols
*
zoomFac
,
color_origImg
.
rows
*
zoomFac
)
);
resize
(
color_origImg
,
visu
,
Size
(
(
int
)(
color_origImg
.
cols
*
zoomFac
),
(
int
)(
color_origImg
.
rows
*
zoomFac
)
)
);
int
cellSize
=
8
;
int
gradientBinSize
=
9
;
float
radRangeForOneBin
=
CV_PI
/
(
float
)
gradientBinSize
;
// dividing 180 into 9 bins, how large (in rad) is one bin?
float
radRangeForOneBin
=
(
float
)(
CV_PI
/
(
float
)
gradientBinSize
)
;
// dividing 180 into 9 bins, how large (in rad) is one bin?
// prepare data structure: 9 orientation / gradient strenghts for each cell
int
cells_in_x_dir
=
DIMX
/
cellSize
;
...
...
@@ -194,7 +198,7 @@ Mat get_hogdescriptor_visu(Mat& color_origImg, vector<float>& descriptorValues,
for
(
int
blockx
=
0
;
blockx
<
blocks_in_x_dir
;
blockx
++
)
{
for
(
int
blocky
=
0
;
blocky
<
blocks_in_y_dir
;
blocky
++
)
for
(
int
blocky
=
0
;
blocky
<
blocks_in_y_dir
;
blocky
++
)
{
// 4 cells per block ...
for
(
int
cellNr
=
0
;
cellNr
<
4
;
cellNr
++
)
...
...
@@ -259,7 +263,7 @@ Mat get_hogdescriptor_visu(Mat& color_origImg, vector<float>& descriptorValues,
int
mx
=
drawX
+
cellSize
/
2
;
int
my
=
drawY
+
cellSize
/
2
;
rectangle
(
visu
,
Point
(
drawX
*
zoomFac
,
drawY
*
zoomFac
),
Point
((
drawX
+
cellSize
)
*
zoomFac
,(
drawY
+
cellSize
)
*
zoomFac
),
CV_RGB
(
100
,
100
,
100
),
1
);
rectangle
(
visu
,
Point
(
(
int
)(
drawX
*
zoomFac
),
(
int
)(
drawY
*
zoomFac
)),
Point
((
int
)((
drawX
+
cellSize
)
*
zoomFac
),
(
int
)((
drawY
+
cellSize
)
*
zoomFac
)
),
CV_RGB
(
100
,
100
,
100
),
1
);
// draw in each cell all 9 gradient strengths
for
(
int
bin
=
0
;
bin
<
gradientBinSize
;
bin
++
)
...
...
@@ -274,7 +278,7 @@ Mat get_hogdescriptor_visu(Mat& color_origImg, vector<float>& descriptorValues,
float
dirVecX
=
cos
(
currRad
);
float
dirVecY
=
sin
(
currRad
);
float
maxVecLen
=
cellSize
/
2
;
float
maxVecLen
=
(
float
)(
cellSize
/
2.
f
)
;
float
scale
=
2.5
;
// just a visualization scale, to see the lines better
// compute line coordinates
...
...
@@ -284,7 +288,7 @@ Mat get_hogdescriptor_visu(Mat& color_origImg, vector<float>& descriptorValues,
float
y2
=
my
+
dirVecY
*
currentGradStrength
*
maxVecLen
*
scale
;
// draw gradient visualization
line
(
visu
,
Point
(
x1
*
zoomFac
,
y1
*
zoomFac
),
Point
(
x2
*
zoomFac
,
y2
*
zoomFac
),
CV_RGB
(
0
,
255
,
0
),
1
);
line
(
visu
,
Point
(
(
int
)(
x1
*
zoomFac
),(
int
)(
y1
*
zoomFac
)),
Point
((
int
)(
x2
*
zoomFac
),(
int
)(
y2
*
zoomFac
)
),
CV_RGB
(
0
,
255
,
0
),
1
);
}
// for (all bins)
...
...
@@ -297,7 +301,7 @@ Mat get_hogdescriptor_visu(Mat& color_origImg, vector<float>& descriptorValues,
{
for
(
int
x
=
0
;
x
<
cells_in_x_dir
;
x
++
)
{
delete
[]
gradientStrengths
[
y
][
x
];
delete
[]
gradientStrengths
[
y
][
x
];
}
delete
[]
gradientStrengths
[
y
];
delete
[]
cellUpdateCounter
[
y
];
...
...
@@ -399,7 +403,8 @@ void test_it( const Size & size )
exit
(
-
1
);
}
while
(
true
)
bool
end_of_process
=
false
;
while
(
!
end_of_process
)
{
video
>>
img
;
if
(
!
img
.
data
)
...
...
@@ -416,9 +421,9 @@ void test_it( const Size & size )
draw_locations
(
draw
,
locations
,
trained
);
imshow
(
"Video"
,
draw
);
key
=
waitKey
(
10
);
key
=
(
char
)
waitKey
(
10
);
if
(
27
==
key
)
break
;
end_of_process
=
true
;
}
}
...
...
@@ -439,7 +444,7 @@ int main( int argc, char** argv )
load_images
(
argv
[
1
],
argv
[
2
],
pos_lst
);
labels
.
assign
(
pos_lst
.
size
(),
+
1
);
const
unsigned
int
old
=
labels
.
size
();
const
unsigned
int
old
=
(
unsigned
int
)
labels
.
size
();
load_images
(
argv
[
3
],
argv
[
4
],
full_neg_lst
);
sample_neg
(
full_neg_lst
,
neg_lst
,
Size
(
96
,
160
)
);
labels
.
insert
(
labels
.
end
(),
neg_lst
.
size
(),
-
1
);
...
...
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