| /external/opencv3/modules/cudaobjdetect/src/ |
| D | hog.cpp | 63 const cv::cuda::PtrStepSzb& qangle, float sigma, float* block_hists);
85 … float angle_scale, cv::cuda::PtrStepSzf grad, cv::cuda::PtrStepSzb qangle, bool correct_gamma);
87 … float angle_scale, cv::cuda::PtrStepSzf grad, cv::cuda::PtrStepSzb qangle, bool correct_gamma);
174 void computeGradient(const GpuMat& img, GpuMat& grad, GpuMat& qangle);
498 GpuMat qangle = pool.getBuffer(img.size(), CV_8UC2); in computeBlockHistograms() local
499 computeGradient(img, grad, qangle); in computeBlockHistograms()
506 grad, qangle, in computeBlockHistograms()
517 void HOG_Impl::computeGradient(const GpuMat& img, GpuMat& grad, GpuMat& qangle) in computeGradient() argument
520 qangle.create(img.size(), CV_8UC2); in computeGradient()
526 …ompute_gradients_8UC1(nbins_, img.rows, img.cols, img, angleScale, grad, qangle, gamma_correction_… in computeGradient()
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| /external/opencv3/modules/cudaobjdetect/src/cuda/ |
| D | hog.cu | 119 … const PtrStepb qangle, float scale, float* block_hists) in compute_hists_kernel_many_blocks() argument
138 const unsigned char* qangle_ptr = qangle.ptr(offset_y) + offset_x * 2; in compute_hists_kernel_many_blocks()
158 qangle_ptr += qangle.step; in compute_hists_kernel_many_blocks()
197 const PtrStepSzb& qangle, float sigma, float* block_hists) in compute_hists() argument
219 img_block_width, grad, qangle, scale, block_hists); in compute_hists()
554 … float angle_scale, PtrStepf grad, PtrStepb qangle) in compute_gradients_8UC4_kernel() argument
649 ((uchar2*)qangle.ptr(blockIdx.y))[x] = make_uchar2(hidx, (hidx + 1) % cnbins); in compute_gradients_8UC4_kernel()
656 … float angle_scale, PtrStepSzf grad, PtrStepSzb qangle, bool correct_gamma) in compute_gradients_8UC4() argument
665 …_gradients_8UC4_kernel<nthreads, 1><<<gdim, bdim>>>(height, width, img, angle_scale, grad, qangle); in compute_gradients_8UC4()
667 …_gradients_8UC4_kernel<nthreads, 0><<<gdim, bdim>>>(height, width, img, angle_scale, grad, qangle); in compute_gradients_8UC4()
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| /external/opencv3/apps/traincascade/ |
| D | HOGfeatures.cpp | 165 Mat qangle(gradSize, CV_8U); in integralHistogram() local
194 uchar* qanglePtr = qangle.ptr(y); in integralHistogram()
224 int binsStep = (int)( qangle.step / sizeof(uchar) ); in integralHistogram()
231 binsBuf = qangle.ptr(); in integralHistogram()
235 for( y = 0; y < qangle.rows; y++ ) in integralHistogram()
239 for( x = 0; x < qangle.cols; x++ ) in integralHistogram()
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| /external/opencv3/modules/objdetect/src/ |
| D | hog.cpp | 225 void HOGDescriptor::computeGradient(const Mat& img, Mat& grad, Mat& qangle, in computeGradient() argument
233 qangle.create(gradsize, CV_8UC2); // [0..nbins-1] - quantized gradient orientation in computeGradient()
318 uchar* qanglePtr = qangle.ptr(y); in computeGradient()
525 Mat grad, qangle; member
551 descriptor->computeGradient(_img, grad, qangle, _paddingTL, _paddingBR); in init()
739 data->qangleOfs = (qangle.cols*i + j)*2; in init()
795 const uchar* qanglePtr = qangle.ptr(pt.y) + pt.x*2; in getBlock()
1086 UMat grad, UMat qangle, bool correct_gamma, int nbins) in ocl_compute_gradients_8UC1() argument
1098 int qangle_elem_size = CV_ELEM_SIZE1(qangle.type()); in ocl_compute_gradients_8UC1()
1099 int qangle_step = (int)qangle.step / (2 * qangle_elem_size); in ocl_compute_gradients_8UC1()
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| /external/opencv3/modules/objdetect/src/opencl/ |
| D | objdetect_hog.cl | 70 __global const float* grad, __global const QANGLE_TYPE* qangle,
98 qangle + offset_y * qangle_step + (offset_x << 1) : qangle;
568 const __global uchar4 * img, __global float * grad, __global QANGLE_TYPE * qangle,
657 qangle[(gidY * qangle_step + x) << 1] = hidx;
658 qangle[((gidY * qangle_step + x) << 1) + 1] = (hidx + 1) % cnbins;
667 __global const uchar * img, __global float * grad, __global QANGLE_TYPE * qangle,
717 qangle[ (gidY * qangle_step + x) << 1 ] = hidx;
718 qangle[ ((gidY * qangle_step + x) << 1) + 1 ] = (hidx + 1) % cnbins;
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| /external/opencv3/modules/objdetect/test/ |
| D | test_cascadeandhog.cpp | 565 virtual void computeGradient(const Mat& img, Mat& grad, Mat& qangle,
629 Mat grad, qangle; member
655 descriptor->computeGradient(_img, grad, qangle, _paddingTL, _paddingBR); in init()
800 data->qangleOfs = (qangle.cols*i + j)*2; in init()
856 const uchar* qanglePtr = qangle.ptr(pt.y) + pt.x*2; in getBlock()
1185 void HOGDescriptorTester::computeGradient(const Mat& img, Mat& grad, Mat& qangle, in computeGradient() argument
1193 qangle.create(gradsize, CV_8UC2); // [0..nbins-1] - quantized gradient orientation in computeGradient()
1241 uchar* qanglePtr = (uchar*)qangle.ptr(y); in computeGradient()
1314 Mat actual_mats[2], reference_mats[2] = { grad, qangle }; in computeGradient()
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