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added getPeopleDetector_48x96 into gpu HOG

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This commit is contained in:
Alexey Spizhevoy 2010-11-17 08:31:24 +00:00
parent 9b8c712a81
commit 4568d702ff
2 changed files with 355 additions and 11 deletions
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10
modules/gpu/include/opencv2/gpu/gpu.hpp
View File

@ -987,15 +987,17 @@ namespace cv
HOGDescriptor(Size win_size=Size(64, 128), Size block_size=Size(16, 16),
Size block_stride=Size(8, 8), Size cell_size=Size(8, 8),
bool gamma_correction=true, int nbins=9, double win_sigma=DEFAULT_WIN_SIGMA,
double threshold_L2hys=0.2, int nlevels=DEFAULT_NLEVELS);
int nbins=9, double win_sigma=DEFAULT_WIN_SIGMA,
double threshold_L2hys=0.2, bool gamma_correction=true,
int nlevels=DEFAULT_NLEVELS);
size_t getDescriptorSize() const;
size_t getBlockHistogramSize() const;
double getWinSigma() const;
static vector<float> getDefaultPeopleDetector();
static vector<float> getDefaultPeopleDetector_64x128();
static vector<float> getPeopleDetector_48x96();
static vector<float> getPeopleDetector_64x128();
void setSVMDetector(const vector<float>& detector);
bool checkDetectorSize() const;
@ -1010,10 +1012,10 @@ namespace cv
Size block_size;
Size block_stride;
Size cell_size;
bool gamma_correction;
int nbins;
double win_sigma;
double threshold_L2hys;
bool gamma_correction;
int nlevels;
// Coefficients of the separating plane

356
modules/gpu/src/hog.cpp
View File

@ -44,7 +44,7 @@
#if !defined (HAVE_CUDA)
cv::gpu::HOGDescriptor::HOGDescriptor(Size, Size, Size, Size, bool, int, double, double, int) { throw_nogpu(); }
cv::gpu::HOGDescriptor::HOGDescriptor(Size, Size, Size, Size, int, double, double, bool, int) { throw_nogpu(); }
size_t cv::gpu::HOGDescriptor::getDescriptorSize() const { throw_nogpu(); return 0; }
size_t cv::gpu::HOGDescriptor::getBlockHistogramSize() const { throw_nogpu(); return 0; }
double cv::gpu::HOGDescriptor::getWinSigma() const { throw_nogpu(); return 0; }
@ -56,7 +56,8 @@ void cv::gpu::HOGDescriptor::detectMultiScale(const GpuMat&, vector<Rect>&, doub
int cv::gpu::HOGDescriptor::numPartsWithin(int, int, int) { throw_nogpu(); return 0; }
cv::Size cv::gpu::HOGDescriptor::numPartsWithin(cv::Size, cv::Size, cv::Size) { throw_nogpu(); return cv::Size(); }
std::vector<float> cv::gpu::HOGDescriptor::getDefaultPeopleDetector() { throw_nogpu(); return std::vector<float>(); }
std::vector<float> cv::gpu::HOGDescriptor::getDefaultPeopleDetector_64x128() { throw_nogpu(); return std::vector<float>(); }
std::vector<float> cv::gpu::HOGDescriptor::getPeopleDetector_48x96() { throw_nogpu(); return std::vector<float>(); }
std::vector<float> cv::gpu::HOGDescriptor::getPeopleDetector_64x128() { throw_nogpu(); return std::vector<float>(); }
#else
@ -88,16 +89,16 @@ void resize_8UC4(const cv::gpu::DevMem2D& src, cv::gpu::DevMem2D dst);
cv::gpu::HOGDescriptor::HOGDescriptor(Size win_size, Size block_size, Size block_stride,
Size cell_size, bool gamma_correction, int nbins,
double win_sigma, double threshold_L2hys, int nlevels)
Size cell_size, int nbins, double win_sigma, double threshold_L2hys,
bool gamma_correction, int nlevels)
: win_size(win_size),
block_size(block_size),
block_stride(block_stride),
cell_size(cell_size),
gamma_correction(gamma_correction),
nbins(nbins),
win_sigma(win_sigma),
threshold_L2hys(threshold_L2hys),
gamma_correction(gamma_correction),
nlevels(nlevels)
{
CV_Assert((win_size.width - block_size.width) % block_stride.width == 0 &&
@ -311,10 +312,351 @@ cv::Size cv::gpu::HOGDescriptor::numPartsWithin(cv::Size size, cv::Size part_siz
std::vector<float> cv::gpu::HOGDescriptor::getDefaultPeopleDetector()
{
return getDefaultPeopleDetector_64x128();
return getPeopleDetector_64x128();
}
std::vector<float> cv::gpu::HOGDescriptor::getDefaultPeopleDetector_64x128()
std::vector<float> cv::gpu::HOGDescriptor::getPeopleDetector_48x96()
{
static const float detector[] = {
0.294350f, -0.098796f, -0.129522f, 0.078753f, 0.387527f, 0.261529f,
0.145939f, 0.061520f, 0.328699f, 0.227148f, -0.066467f, -0.086723f,
0.047559f, 0.106714f, 0.037897f, 0.111461f, -0.024406f, 0.304769f,
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-0.134473f, 0.104442f, 0.050942f, 0.081165f, 0.072156f, 0.121646f,
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0.219781f, 0.158102f, -0.140618f, -0.043016f, 0.124802f, 0.093668f,
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0.047007f, 0.080550f, 0.068619f, 0.084661f, -0.035493f, -0.091314f,
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0.079788f, -0.098064f, -0.054603f, 0.040383f, 0.300794f, 0.128603f,
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0.102331f, 0.114853f, 0.009644f, 0.062823f, 0.237339f, 0.167843f,
0.053066f, -0.012592f, 0.043158f, 0.002305f, 0.065001f, -0.038929f,
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0.068488f, -0.110840f, -0.111083f, 0.111980f, -0.002072f, -0.005562f,
0.082926f, 0.006635f, -0.108153f, 0.024242f, -0.086464f, -0.189884f,
-0.017492f, 0.191456f, -0.007683f, -0.128769f, -0.038017f, -0.132380f,
0.091926f, 0.079696f, -0.106728f, -0.007656f, 0.172744f, 0.011576f,
0.009883f, 0.083258f, -0.026516f, 0.145534f, 0.153924f, -0.130290f,
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0.026288f, -0.086713f, -0.169012f, 0.076517f, 0.215778f, 0.043701f,
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0.083224f, 0.099533f, -0.039432f, -0.138880f, 0.005482f, -0.024120f,
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0.215036f, 0.228897f, 0.072713f, 0.077773f, 0.120168f, 0.075324f,
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0.114601f, -0.317869f, -0.076663f, 0.038680f, 0.212753f, -0.016059f,
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0.019309f, -0.021611f, -0.096499f, -0.111809f, -0.200489f, 0.142854f,
0.228840f, -0.353346f, -0.179151f, 0.116834f, 0.252389f, -0.031728f,
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0.359030f, 0.260717f, 0.170335f, 0.013683f, -0.142596f, -0.026138f,
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0.234304f, 0.306781f, 0.321866f, 0.240000f, 0.073261f, -0.012173f,
0.026479f, 0.050173f, 0.166127f, 0.228955f, 0.061905f, 0.156460f,
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0.167217f, 0.188938f, 0.053528f, -0.066561f, 0.133721f, -0.070565f,
0.115898f, 0.152435f, -0.116993f, -0.110592f, -0.179005f, 0.026668f,
0.080530f, 0.075084f, -0.070401f, 0.012497f, 0.021849f, -0.139764f,
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0.156285f, 0.149867f, -0.011382f, 0.064532f, 0.029168f, 0.027393f,
0.069716f, 0.153735f, 0.038459f, 0.230714f, 0.253840f, 0.059522f,
-0.045053f, 0.014083f, 0.071103f, 0.068747f, 0.095887f, 0.005832f,
0.144887f, 0.026357f, -0.067359f, -0.044151f, -0.123283f, -0.019911f,
0.005318f, 0.109208f, -0.003201f, -0.021734f, 0.142025f, -0.066907f,
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0.168591f, 0.267166f, 0.058208f, -0.044101f, 0.033500f, 0.178558f,
0.104550f, 0.122418f, 0.080177f, 0.173246f, 0.298537f, 0.064173f,
0.053397f, 0.174341f, 0.230984f, 0.117025f, 0.166242f, 0.227781f,
0.120623f, 0.176952f, -0.011393f, -0.086483f, -0.008270f, 0.051700f,
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0.043715f, -0.141843f, 0.020844f, 0.129871f, 0.256588f, 0.105015f,
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0.004928f, 0.169162f, 0.065152f, 0.072160f, 0.131631f, 0.096303f,
0.054288f, 0.106256f, 0.114632f, 0.119038f, 0.515200f, 0.247429f,
0.199134f, 0.211957f, 0.127558f, -0.294684f, -0.194890f, -0.049988f,
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0.152434f, 0.234621f, 0.153340f, 0.349283f, 0.683049f, 0.157174f,
0.124844f, 0.099136f, 0.064407f, -0.248400f, -0.155323f, -0.026498f,
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0.227396f, -0.178058f, -0.114782f, -0.008093f, 0.231080f, -0.011843f,
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0.119255f, 0.010874f, -0.031449f, 0.045996f, 0.119931f, 0.273760f,
0.311700f, 0.261794f, 0.194809f, 0.339829f, 0.239449f, 0.064140f,
0.077597f, 0.098996f, 0.143534f, 0.184602f, 0.037507f, 0.225494f,
0.096142f, -0.147370f, -0.207833f, -0.174742f, -0.086391f, -0.038942f,
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0.090480f, -0.109852f, -0.018761f, 0.210669f, 0.281269f, -0.043591f,
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0.036720f, 0.094676f, 0.017306f, -0.010328f, -0.079012f, 0.016781f,
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0.046424f, -0.194712f, -0.139399f, -0.037731f, 0.157989f, -0.016261f,
0.123345f, 0.230563f, 0.083300f, -0.016392f, 0.059567f, -0.016035f,
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0.034535f, 0.019967f, -0.089188f, -0.012091f, 0.307857f, 0.211405f,
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0.014791f, -0.053362f, -0.037818f, -0.196640f, 0.008388f, -0.082654f,
0.143056f, 0.064221f, 0.069795f, 0.191040f, 0.097321f, -0.028679f,
0.075794f, 0.313154f, 0.086240f, 0.207643f, 0.017809f, 0.122867f,
0.224586f, 0.167403f, -0.023884f, 0.047434f, 0.344091f, 0.187745f,
0.136177f, 0.141738f, 0.063799f, 0.045233f, -0.077342f, -0.003525f,
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0.053152f, 0.078615f, 0.086061f, 0.100593f, 0.128046f, -0.071006f,
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0.033293f, 0.219438f, 0.184174f, 0.259349f, 0.311206f, 0.082547f,
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0.025199f, 0.261319f, 0.086316f, 0.143614f, 0.107780f, 0.003900f,
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0.234154f, 0.301646f, 0.168929f, -0.208358f, -0.126848f, 0.010260f,
0.121018f, -0.062975f, -0.052848f, 0.050341f, -0.061103f, -0.266482f,
0.107186f, 0.140221f, 0.280065f, 0.287889f, 0.373198f, 0.151596f,
0.013593f, 0.115616f, 0.014616f, -0.281710f, -0.237597f, -0.117305f,
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0.236804f, -0.071805f, -0.037421f, 0.048230f, 0.321596f, 0.063632f,
0.024039f, -0.029133f, 0.230983f, 0.160593f, -0.154355f, -0.013086f,
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0.288631f, 0.038191f, 0.181692f, 0.229682f, 0.440166f, 0.063401f,
0.006273f, 0.020865f, 0.338695f, 0.256244f, -0.043927f, 0.115617f,
0.003296f, 0.173965f, 0.021318f, -0.040936f, -0.118932f, 0.182380f,
0.235922f, -0.053233f, -0.015053f, -0.101057f, 0.095341f, 0.051111f,
0.161831f, 0.032614f, 0.159496f, 0.072375f, 0.025089f, 0.023748f,
0.029151f, 0.161284f, -0.117717f, -0.036191f, -0.176822f, -0.162006f,
0.226542f, -0.078329f, 0.043079f, -0.119172f, 0.054614f, -0.101365f,
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0.192105f, -0.048931f, 0.003086f, -0.010681f, 0.074698f, -0.016263f,
0.096063f, 0.060267f, -0.007277f, 0.139139f, -0.080635f, 0.036628f,
0.086058f, 0.131979f, 0.085707f, 0.025301f, 0.226094f, 0.194759f,
0.042193f, -0.157846f, -0.068402f, -0.141450f, -0.112659f, -0.076305f,
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0.198964f, 0.171616f, 0.167237f, -0.033730f, -0.026755f, 0.083621f,
0.149459f, -0.002799f, -0.000318f, 0.011753f, 0.065889f, -0.089375f,
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0.007530f, 0.240268f, 0.073270f, 0.013263f, 0.175323f, 0.012082f,
0.093993f, 0.015282f, 0.105854f, 0.107990f, 0.077798f, -0.096166f,
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-0.046993f, 0.139459f, 0.020272f, -0.123161f, 0.175269f, 0.105217f,
0.057328f, 0.080909f, -0.012612f, -0.097081f, 0.082060f, -0.096716f,
-0.063921f, 0.201884f, 0.128166f, -0.035051f, -0.032227f, -0.068139f,
-0.115915f, 0.095080f, -0.086007f, -0.067543f, 0.030776f, 0.032712f,
0.088937f, 0.054336f, -0.039329f, -0.114022f, 0.171672f, -0.112321f,
-0.217646f, 0.065186f, 0.060223f, 0.192174f, 0.055580f, -0.131107f,
-0.144338f, 0.056730f, -0.034707f, -0.081616f, -0.135298f, -0.000614f,
0.087189f, 0.014614f, 0.067709f, 0.107689f, 0.225780f, 0.084361f,
-0.008544f, 0.051649f, -0.048369f, -0.037739f, -0.060710f, 0.002654f,
0.016935f, 0.085563f, -0.015961f, -0.019265f, 0.111788f, 0.062376f,
0.202019f, 0.047713f, 0.042261f, 0.069716f, 0.242913f, 0.021052f,
-0.072812f, -0.155920f, -0.026436f, 0.035621f, -0.079300f, -0.028787f,
-0.048329f, 0.084718f, -0.060565f, -0.083750f, -0.164075f, -0.040742f,
-0.086219f, 0.015271f, -0.005204f, -0.016038f, 0.045816f, -0.050433f,
-0.077652f, 0.117109f, 0.009611f, -0.009045f, -0.008634f, -0.055373f,
-0.085968f, 0.028527f, -0.054736f, -0.168089f, 0.175839f, 0.071205f,
-0.023603f, 0.037907f, -0.004561f, -0.022634f, 0.123831f, 0.094469f,
-0.072920f, -0.133642f, -0.014032f, -0.142754f, -0.026999f, -0.199409f,
0.013268f, 0.226989f, 0.048650f, -0.170988f, -0.050141f, 0.007880f,
0.061880f, 0.019078f, -0.043578f, -0.038139f, 0.134814f, 0.054097f,
-0.081670f, 0.176838f, 0.047920f, -0.038176f, 0.050406f, -0.107181f,
-0.036279f, 0.027060f, 0.081594f, -0.002820f, 0.090507f, -0.033338f,
-0.059571f, 0.013404f, -0.099860f, 0.073371f, 0.342805f, 0.098305f,
-0.150910f, -0.020822f, -0.056960f, 0.046262f, -0.043413f, -0.149405f,
-0.129105f, -0.010899f, -0.014229f, -0.179949f, -0.113044f, -0.049468f,
-0.065513f, 0.090269f, -0.011919f, 0.087846f, 0.095796f, 0.146127f,
0.101599f, 0.078066f, -0.084348f, -0.100002f, -0.020134f, -0.050169f,
0.062122f, 0.014640f, 0.019143f, 0.036543f, 0.180924f, -0.013976f,
-0.066768f, -0.001090f, -0.070419f, -0.004839f, -0.001504f, 0.034483f,
-0.044954f, -0.050336f, -0.088638f, -0.174782f, -0.116082f, -0.205507f,
0.015587f, -0.042839f, -0.096879f, -0.144097f, -0.050268f, -0.196796f,
0.109639f, 0.271411f, 0.173732f, 0.108070f, 0.156437f, 0.124255f,
0.097242f, 0.238693f, 0.083941f, 0.109105f, 0.223940f, 0.267188f,
0.027385f, 0.025819f, 0.125070f, 0.093738f, 0.040353f, 0.038645f,
-0.012730f, 0.144063f, 0.052931f, -0.009138f, 0.084193f, 0.160272f,
-0.041366f, 0.011951f, -0.121446f, -0.106713f, -0.047566f, 0.047984f,
-0.255224f, -0.076116f, 0.098685f, -0.150845f, -0.171513f, -0.156590f,
0.058331f, 0.187493f, 0.413018f, 0.554265f, 0.372242f, 0.237943f,
0.124571f, 0.110829f, 0.010322f, -0.174477f, -0.067627f, -0.001979f,
0.142913f, 0.040597f, 0.019907f, 0.025963f, -0.043585f, -0.120732f,
0.099937f, 0.091059f, 0.247307f, 0.204226f, -0.042753f, -0.068580f,
-0.119002f, 0.026722f, 0.034853f, -0.060934f, -0.025054f, -0.093026f,
-0.035372f, -0.233209f, -0.049869f, -0.039151f, -0.022279f, -0.065380f,
-9.063785f };
return vector<float>(detector, detector + sizeof(detector)/sizeof(detector[0]));
}
std::vector<float> cv::gpu::HOGDescriptor::getPeopleDetector_64x128()
{
static const float detector[] = {
0.05359386f, -0.14721455f, -0.05532170f, 0.05077307f,