OpenEV
Extending OpenCV to event-based vision
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efft.hpp
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#ifndef OPENEV_ALGORITHMS_EFFT_HPP
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#define OPENEV_ALGORITHMS_EFFT_HPP
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#include "efft/include/efft.hpp"
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#include <complex>
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#include <eigen3/Eigen/Core>
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#include <opencv2/core/hal/interface.h>
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#include <opencv2/core/mat.hpp>
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#include <opencv2/core/mat.inl.hpp>
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namespace
ev {
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template
<
typename
T>
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class
Event_
;
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template
<
unsigned
int
N>
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class
efft :
public
eFFT<N> {
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public
:
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efft() {
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eFFT<N>::initialize();
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}
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template
<
typename
E =
int
>
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inline
bool
update(
const
Event_<E>
&e,
const
bool
state) {
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return
eFFT<N>::update({
static_cast<
unsigned
int
>
(e.y),
static_cast<
unsigned
int
>
(e.x), state});
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}
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template
<
typename
E =
int
>
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inline
bool
insert(
const
Event_<E>
&e) {
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return
eFFT<N>::update({
static_cast<
unsigned
int
>
(e.y),
static_cast<
unsigned
int
>
(e.x),
true
});
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}
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template
<
typename
E =
int
>
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inline
bool
extract(
const
Event_<E>
&e) {
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return
eFFT<N>::update({
static_cast<
unsigned
int
>
(e.y),
static_cast<
unsigned
int
>
(e.x),
false
});
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}
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inline
cv::Mat mat() {
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cv::Mat cvMat(N, N, CV_32FC2);
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Eigen::Map<Eigen::Matrix<std::complex<float>, N, N, Eigen::RowMajor>>(
reinterpret_cast<
std::complex<float> *
>
(cvMat.data)) = eFFT<N>::getFFT();
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return
cvMat;
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}
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};
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}
// namespace ev
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#endif
// OPENEV_ALGORITHMS_EFFT_HPP
ev::Event_
This class extends cv::Point_<T> for event data. For more information, please refer here.
Definition
types.hpp:55
modules
algorithms
include
openev
algorithms
efft.hpp
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