#include <vector>
#include <algorithm>
#include <functional>
+#include "dynmem.hpp"
+#include "pragmas.h"
-template <typename T> class ComplexMat_ {
+#ifdef CUFFT
+#include <cufft.h>
+#endif
+
+class ComplexMat_ {
public:
+ typedef float T;
+
uint cols;
uint rows;
uint n_channels;
- uint n_scales = 1;
+ uint n_scales;
- ComplexMat_() : cols(0), rows(0), n_channels(0) {}
- ComplexMat_(uint _rows, uint _cols, uint _n_channels) : cols(_cols), rows(_rows), n_channels(_n_channels)
- {
- p_data.resize(n_channels * cols * rows);
- }
-
- ComplexMat_(uint _rows, uint _cols, uint _n_channels, uint _n_scales)
- : cols(_cols), rows(_rows), n_channels(_n_channels), n_scales(_n_scales)
- {
- p_data.resize(n_channels * cols * rows);
- }
+ ComplexMat_(uint _rows, uint _cols, uint _n_channels, uint _n_scales = 1)
+ : cols(_cols), rows(_rows), n_channels(_n_channels * _n_scales), n_scales(_n_scales),
+ p_data(n_channels * cols * rows) {}
+ ComplexMat_(cv::Size size, uint _n_channels, uint _n_scales = 1)
+ : cols(size.width), rows(size.height), n_channels(_n_channels * _n_scales), n_scales(_n_scales)
+ , p_data(n_channels * cols * rows) {}
// assuming that mat has 2 channels (real, img)
- ComplexMat_(const cv::Mat &mat) : cols(uint(mat.cols)), rows(uint(mat.rows)), n_channels(1)
+ ComplexMat_(const cv::Mat &mat) : cols(uint(mat.cols)), rows(uint(mat.rows)), n_channels(1), n_scales(1)
+ , p_data(n_channels * cols * rows)
{
- p_data = convert(mat);
+ cudaSync();
+ memcpy(p_data.hostMem(), mat.ptr<std::complex<T>>(), mat.total() * mat.elemSize());
}
- void create(uint _rows, uint _cols, uint _n_channels)
+ static ComplexMat_ same_size(const ComplexMat_ &o)
{
- rows = _rows;
- cols = _cols;
- n_channels = _n_channels;
- p_data.resize(n_channels * cols * rows);
+ return ComplexMat_(o.rows, o.cols, o.n_channels / o.n_scales, o.n_scales);
}
- void create(uint _rows, uint _cols, uint _n_channels, uint _n_scales)
- {
- rows = _rows;
- cols = _cols;
- n_channels = _n_channels;
- n_scales = _n_scales;
- p_data.resize(n_channels * cols * rows);
- }
// cv::Mat API compatibility
- cv::Size size() { return cv::Size(cols, rows); }
- int channels() { return n_channels; }
- int channels() const { return n_channels; }
+ cv::Size size() const { return cv::Size(cols, rows); }
+ uint channels() const { return n_channels; }
// assuming that mat has 2 channels (real, imag)
void set_channel(uint idx, const cv::Mat &mat)
{
- assert(idx >= 0 && idx < n_channels);
+ assert(idx < n_channels);
+ cudaSync();
for (uint i = 0; i < rows; ++i) {
const std::complex<T> *row = mat.ptr<std::complex<T>>(i);
for (uint j = 0; j < cols; ++j)
- p_data[idx * rows * cols + i * cols + j] = row[j];
- }
- }
-
- T sqr_norm() const
- {
- int n_channels_per_scale = n_channels / n_scales;
- T sum_sqr_norm = 0;
- for (int i = 0; i < n_channels_per_scale; ++i) {
- for (auto lhs = p_data.begin() + i * rows * cols; lhs != p_data.begin() + (i + 1) * rows * cols; ++lhs)
- sum_sqr_norm += lhs->real() * lhs->real() + lhs->imag() * lhs->imag();
- }
- sum_sqr_norm = sum_sqr_norm / static_cast<T>(cols * rows);
- return sum_sqr_norm;
- }
-
- void sqr_norm(T *sums_sqr_norms) const
- {
- int n_channels_per_scale = n_channels / n_scales;
- int scale_offset = n_channels_per_scale * rows * cols;
- T sum_sqr_norm;
- for (uint scale = 0; scale < n_scales; ++scale) {
- sum_sqr_norm = 0;
- for (int i = 0; i < n_channels_per_scale; ++i)
- for (auto lhs = p_data.begin() + i * rows * cols + scale * scale_offset;
- lhs != p_data.begin() + (i + 1) * rows * cols + scale * scale_offset; ++lhs)
- sum_sqr_norm += lhs->real() * lhs->real() + lhs->imag() * lhs->imag();
- sums_sqr_norms[scale] = sum_sqr_norm / static_cast<T>(cols * rows);
+ p_data.hostMem()[idx * rows * cols + i * cols + j] = row[j];
}
- return;
}
- ComplexMat_<T> sqr_mag() const
- {
- return mat_const_operator([](std::complex<T> &c) { c = c.real() * c.real() + c.imag() * c.imag(); });
- }
+ T sqr_norm() const;
- ComplexMat_<T> conj() const
- {
- return mat_const_operator([](std::complex<T> &c) { c = std::complex<T>(c.real(), -c.imag()); });
- }
+ void sqr_norm(DynMem_<T> &result) const;
- ComplexMat_<T> sum_over_channels() const
- {
- assert(p_data.size() > 1);
+ ComplexMat_ sqr_mag() const;
- int n_channels_per_scale = n_channels / n_scales;
- int scale_offset = n_channels_per_scale * rows * cols;
+ ComplexMat_ conj() const;
- ComplexMat_<T> result(this->rows, this->cols, n_scales);
- for (uint scale = 0; scale < n_scales; ++scale) {
- std::copy(p_data.begin() + scale * scale_offset, p_data.begin() + rows * cols + scale * scale_offset,
- result.p_data.begin() + scale * rows * cols);
- for (int i = 1; i < n_channels_per_scale; ++i) {
- std::transform(result.p_data.begin() + scale * rows * cols,
- result.p_data.begin() + (scale + 1) * rows * cols,
- p_data.begin() + i * rows * cols + scale * scale_offset,
- result.p_data.begin() + scale * rows * cols, std::plus<std::complex<T>>());
- }
- }
- return result;
- }
+ ComplexMat_ sum_over_channels() const;
// return 2 channels (real, imag) for first complex channel
cv::Mat to_cv_mat() const
{
- assert(p_data.size() >= 1);
+ assert(p_data.num_elem >= 1);
return channel_to_cv_mat(0);
}
// return a vector of 2 channels (real, imag) per one complex channel
return result;
}
- std::complex<T> *get_p_data() const { return p_data.data(); }
-
- // element-wise per channel multiplication, division and addition
- ComplexMat_<T> operator*(const ComplexMat_<T> &rhs) const
- {
- return mat_mat_operator([](std::complex<T> &c_lhs, const std::complex<T> &c_rhs) { c_lhs *= c_rhs; }, rhs);
+ std::complex<T> *get_p_data() {
+ cudaSync();
+ return p_data.hostMem();
}
- ComplexMat_<T> operator/(const ComplexMat_<T> &rhs) const
- {
- return mat_mat_operator([](std::complex<T> &c_lhs, const std::complex<T> &c_rhs) { c_lhs /= c_rhs; }, rhs);
- }
- ComplexMat_<T> operator+(const ComplexMat_<T> &rhs) const
- {
- return mat_mat_operator([](std::complex<T> &c_lhs, const std::complex<T> &c_rhs) { c_lhs += c_rhs; }, rhs);
+ const std::complex<T> *get_p_data() const {
+ cudaSync();
+ return p_data.hostMem();
}
+#ifdef CUFFT
+ cufftComplex *get_dev_data() { return (cufftComplex*)p_data.deviceMem(); }
+ const cufftComplex *get_dev_data() const { return (cufftComplex*)p_data.deviceMem(); }
+#endif
+
+ // element-wise per channel multiplication, division and addition
+ ComplexMat_ operator*(const ComplexMat_ &rhs) const;
+ ComplexMat_ operator/(const ComplexMat_ &rhs) const;
+ ComplexMat_ operator+(const ComplexMat_ &rhs) const;
+
// multiplying or adding constant
- ComplexMat_<T> operator*(const T &rhs) const
- {
- return mat_const_operator([&rhs](std::complex<T> &c) { c *= rhs; });
- }
- ComplexMat_<T> operator+(const T &rhs) const
- {
- return mat_const_operator([&rhs](std::complex<T> &c) { c += rhs; });
- }
+ ComplexMat_ operator*(const T &rhs) const;
+ ComplexMat_ operator+(const T &rhs) const;
// multiplying element-wise multichannel by one channel mats (rhs mat is with one channel)
- ComplexMat_<T> mul(const ComplexMat_<T> &rhs) const
- {
- return matn_mat1_operator([](std::complex<T> &c_lhs, const std::complex<T> &c_rhs) { c_lhs *= c_rhs; }, rhs);
- }
+ ComplexMat_ mul(const ComplexMat_ &rhs) const;
- // multiplying element-wise multichannel by one channel mats (rhs mat is with multiple channel)
- ComplexMat_<T> mul2(const ComplexMat_<T> &rhs) const
+ // multiplying element-wise multichannel mats - same as operator*(ComplexMat), but without allocating memory for the result
+ ComplexMat_ muln(const ComplexMat_ &rhs) const
{
- return matn_mat2_operator([](std::complex<T> &c_lhs, const std::complex<T> &c_rhs) { c_lhs *= c_rhs; }, rhs);
+ return mat_mat_operator([](std::complex<T> &c_lhs, const std::complex<T> &c_rhs) { c_lhs *= c_rhs; }, rhs);
}
// text output
- friend std::ostream &operator<<(std::ostream &os, const ComplexMat_<T> &mat)
+ friend std::ostream &operator<<(std::ostream &os, const ComplexMat_ &mat)
{
// for (int i = 0; i < mat.n_channels; ++i){
for (int i = 0; i < 1; ++i) {
}
private:
- mutable std::vector<std::complex<T>> p_data;
+ DynMem_<std::complex<T>> p_data;
// convert 2 channel mat (real, imag) to vector row-by-row
std::vector<std::complex<T>> convert(const cv::Mat &mat)
return result;
}
- ComplexMat_<T> mat_mat_operator(void (*op)(std::complex<T> &c_lhs, const std::complex<T> &c_rhs),
- const ComplexMat_<T> &mat_rhs) const
- {
- assert(mat_rhs.n_channels == n_channels && mat_rhs.cols == cols && mat_rhs.rows == rows);
-
- ComplexMat_<T> result = *this;
- for (uint i = 0; i < n_channels; ++i) {
- auto lhs = result.p_data.begin() + i * rows * cols;
- auto rhs = mat_rhs.p_data.begin() + i * rows * cols;
- for (; lhs != result.p_data.begin() + (i + 1) * rows * cols; ++lhs, ++rhs)
- op(*lhs, *rhs);
- }
-
- return result;
- }
- ComplexMat_<T> matn_mat1_operator(void (*op)(std::complex<T> &c_lhs, const std::complex<T> &c_rhs),
- const ComplexMat_<T> &mat_rhs) const
- {
- assert(mat_rhs.n_channels == 1 && mat_rhs.cols == cols && mat_rhs.rows == rows);
-
- ComplexMat_<T> result = *this;
- for (uint i = 0; i < n_channels; ++i) {
- auto lhs = result.p_data.begin() + i * rows * cols;
- auto rhs = mat_rhs.p_data.begin();
- for (; lhs != result.p_data.begin() + (i + 1) * rows * cols; ++lhs, ++rhs)
- op(*lhs, *rhs);
- }
-
- return result;
- }
- ComplexMat_<T> matn_mat2_operator(void (*op)(std::complex<T> &c_lhs, const std::complex<T> &c_rhs),
- const ComplexMat_<T> &mat_rhs) const
- {
- assert(mat_rhs.n_channels == n_channels / n_scales && mat_rhs.cols == cols && mat_rhs.rows == rows);
-
- int n_channels_per_scale = n_channels / n_scales;
- int scale_offset = n_channels_per_scale * rows * cols;
- ComplexMat_<T> result = *this;
- for (uint i = 0; i < n_scales; ++i) {
- for (int j = 0; j < n_channels_per_scale; ++j) {
- auto lhs = result.p_data.begin() + (j * rows * cols) + (i * scale_offset);
- auto rhs = mat_rhs.p_data.begin() + (j * rows * cols);
- for (; lhs != result.p_data.begin() + ((j + 1) * rows * cols) + (i * scale_offset); ++lhs, ++rhs)
- op(*lhs, *rhs);
- }
- }
-
- return result;
- }
- ComplexMat_<T> mat_const_operator(const std::function<void(std::complex<T> &c_rhs)> &op) const
- {
- ComplexMat_<T> result = *this;
- for (uint i = 0; i < n_channels; ++i)
- for (auto lhs = result.p_data.begin() + i * rows * cols;
- lhs != result.p_data.begin() + (i + 1) * rows * cols; ++lhs)
- op(*lhs);
- return result;
- }
+ ComplexMat_ mat_mat_operator(void (*op)(std::complex<T> &c_lhs, const std::complex<T> &c_rhs),
+ const ComplexMat_ &mat_rhs) const;
+ ComplexMat_ matn_mat1_operator(void (*op)(std::complex<T> &c_lhs, const std::complex<T> &c_rhs),
+ const ComplexMat_ &mat_rhs) const;
+ ComplexMat_ matn_mat2_operator(void (*op)(std::complex<T> &c_lhs, const std::complex<T> &c_rhs),
+ const ComplexMat_ &mat_rhs) const;
+ ComplexMat_ mat_const_operator(const std::function<void(std::complex<T> &c_rhs)> &op) const;
cv::Mat channel_to_cv_mat(int channel_id) const
{
}
return result;
}
+
+#ifdef CUFFT
+ void cudaSync() const;
+#else
+ void cudaSync() const {}
+#endif
};
-typedef ComplexMat_<float> ComplexMat;
+typedef ComplexMat_ ComplexMat;
#endif // COMPLEX_MAT_HPP_213123048309482094
projects / hercules2020 / kcf.git / blobdiff