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Commit ec750ffe authored by Fm's avatar Fm
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Changed fhog calculations from double to float

parent b8203b2e
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Showing with 35 additions and 35 deletions
dlib/image_transforms/fhog.h
View file @ ec750ffe
......@@ -21,16 +21,16 @@ namespace dlib
namespace impl_fhog
{
template <typename image_type>
template <typename image_type, typename T>
inline typename dlib::enable_if_c<pixel_traits<typename image_type::pixel_type>::rgb>::type get_gradient (
const int r,
const int c,
const image_type& img,
matrix<double,2,1>& grad,
double& len
matrix<T,2,1>& grad,
T& len
)
{
matrix<double,2,1> grad2, grad3;
matrix<T, 2, 1> grad2, grad3;
// get the red gradient
grad(0) = (int)img[r][c+1].red-(int)img[r][c-1].red;
grad(1) = (int)img[r+1][c].red-(int)img[r-1][c].red;
......@@ -39,12 +39,12 @@ namespace dlib
// get the green gradient
grad2(0) = (int)img[r][c+1].green-(int)img[r][c-1].green;
grad2(1) = (int)img[r+1][c].green-(int)img[r-1][c].green;
double v2 = length_squared(grad2);
T v2 = length_squared(grad2);
// get the blue gradient
grad3(0) = (int)img[r][c+1].blue-(int)img[r][c-1].blue;
grad3(1) = (int)img[r+1][c].blue-(int)img[r-1][c].blue;
double v3 = length_squared(grad3);
T v3 = length_squared(grad3);
// pick color with strongest gradient
if (v2 > len)
......@@ -144,13 +144,13 @@ namespace dlib
// ------------------------------------------------------------------------------------
template <typename image_type>
template <typename image_type, typename T>
inline typename dlib::disable_if_c<pixel_traits<typename image_type::pixel_type>::rgb>::type get_gradient (
const int r,
const int c,
const image_type& img,
matrix<double,2,1>& grad,
double& len
matrix<T, 2, 1>& grad,
T& len
)
{
grad(0) = (int)get_pixel_intensity(img[r][c+1])-(int)get_pixel_intensity(img[r][c-1]);
......@@ -200,7 +200,7 @@ namespace dlib
int o,
int x,
int y,
const double& value
const T& value
)
{
hog[o][y][x] = value;
......@@ -255,7 +255,7 @@ namespace dlib
int o,
int x,
int y,
const double& value
const T& value
)
{
hog[y][x](o) = value;
......@@ -336,7 +336,7 @@ namespace dlib
// unit vectors used to compute gradient orientation
matrix<double,2,1> directions[9];
matrix<float,2,1> directions[9];
directions[0] = 1.0000, 0.0000;
directions[1] = 0.9397, 0.3420;
directions[2] = 0.7660, 0.6428;
......@@ -417,16 +417,16 @@ namespace dlib
// Now process the right columns that don't fit into simd registers.
for (; x < visible_nc; x++)
{
matrix<double,2,1> grad;
double v;
matrix<float,2,1> grad;
float v;
get_gradient(y,x,img,grad,v);
// snap to one of 18 orientations
double best_dot = 0;
float best_dot = 0;
int best_o = 0;
for (int o = 0; o < 9; o++)
{
const double dot = dlib::dot(directions[o], grad);
const float dot = dlib::dot(directions[o], grad);
if (dot > best_dot)
{
best_dot = dot;
......@@ -444,7 +444,7 @@ namespace dlib
}
}
const double eps = 0.0001;
const float eps = 0.0001;
// compute features
for (int y = 0; y < hog_nr; y++)
{
......@@ -572,7 +572,7 @@ namespace dlib
}
// unit vectors used to compute gradient orientation
matrix<double,2,1> directions[9];
matrix<float,2,1> directions[9];
directions[0] = 1.0000, 0.0000;
directions[1] = 0.9397, 0.3420;
directions[2] = 0.7660, 0.6428;
......@@ -586,8 +586,8 @@ namespace dlib
// First we allocate memory for caching orientation histograms & their norms.
const int cells_nr = (int)((double)img.nr()/(double)cell_size + 0.5);
const int cells_nc = (int)((double)img.nc()/(double)cell_size + 0.5);
const int cells_nr = (int)((float)img.nr()/(float)cell_size + 0.5);
const int cells_nc = (int)((float)img.nc()/(float)cell_size + 0.5);
if (cells_nr == 0 || cells_nc == 0)
{
......@@ -629,10 +629,10 @@ namespace dlib
// First populate the gradient histograms
for (int y = 1; y < visible_nr; y++)
{
const double yp = ((double)y+0.5)/(double)cell_size - 0.5;
const float yp = ((float)y+0.5)/(float)cell_size - 0.5;
const int iyp = (int)std::floor(yp);
const double vy0 = yp-iyp;
const double vy1 = 1.0-vy0;
const float vy0 = yp - iyp;
const float vy1 = 1.0 - vy0;
int x;
for (x = 1; x < visible_nc-3; x+=4)
{
......@@ -708,16 +708,16 @@ namespace dlib
// Now process the right columns that don't fit into simd registers.
for (; x < visible_nc; x++)
{
matrix<double,2,1> grad;
double v;
matrix<float, 2, 1> grad;
float v;
get_gradient(y,x,img,grad,v);
// snap to one of 18 orientations
double best_dot = 0;
float best_dot = 0;
int best_o = 0;
for (int o = 0; o < 9; o++)
{
const double dot = dlib::dot(directions[o], grad);
const float dot = dlib::dot(directions[o], grad);
if (dot > best_dot)
{
best_dot = dot;
......@@ -732,10 +732,10 @@ namespace dlib
v = std::sqrt(v);
// add to 4 histograms around pixel using bilinear interpolation
const double xp = ((double)x+0.5)/(double)cell_size - 0.5;
const float xp = ((double)x + 0.5) / (double)cell_size - 0.5;
const int ixp = (int)std::floor(xp);
const double vx0 = xp-ixp;
const double vx1 = 1.0-vx0;
const float vx0 = xp - ixp;
const float vx1 = 1.0 - vx0;
hist[iyp+1][ixp+1](best_o) += vy1*vx1*v;
hist[iyp+1+1][ixp+1](best_o) += vy0*vx1*v;
......@@ -756,7 +756,7 @@ namespace dlib
}
}
const double eps = 0.0001;
const float eps = 0.0001;
// compute features
for (int y = 0; y < hog_nr; y++)
{
......@@ -930,14 +930,14 @@ namespace dlib
template <
typename image_type
>
matrix<double,0,1> extract_fhog_features(
matrix<float,0,1> extract_fhog_features(
const image_type& img,
int cell_size = 8,
int filter_rows_padding = 1,
int filter_cols_padding = 1
)
{
matrix<double,0,1> feats;
matrix<float, 0, 1> feats;
extract_fhog_features(img, feats, cell_size, filter_rows_padding, filter_cols_padding);
return feats;
}
......@@ -1093,7 +1093,7 @@ namespace dlib
}
}
const double thresh = mean(himg) + 4*stddev(himg);
const float thresh = mean(himg) + 4 * stddev(himg);
if (thresh != 0)
return matrix_cast<unsigned char>(upperbound(round(himg*255/thresh),255));
else
......@@ -1178,7 +1178,7 @@ namespace dlib
}
}
const double thresh = mean(himg) + 4*stddev(himg);
const float thresh = mean(himg) + 4 * stddev(himg);
if (thresh != 0)
return matrix_cast<unsigned char>(upperbound(round(himg*255/thresh),255));
else
......
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