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#pragma once
#include <algorithm>
#undef NDEBUG
#include <cassert>
#include <iterator>
#include <tuple>
#include <deque>
#include <vector>
#include <cstdio>
#include "timer.hpp"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <QDebug>
namespace detail {
template<typename t1, typename t2, typename t, typename m = t>
class zip_iterator : public std::iterator<std::forward_iterator_tag, t>
{
private:
using self = zip_iterator<t1, t2, t, m>;
t1 x1, z1;
t2 x2, z2;
void maybe_end() { if (x1 == z1 || x2 == z2) *this = end(); }
public:
zip_iterator(const t1& it1, const t1& end1, const t2& it2, const t2& end2)
: x1(it1), z1(end1), x2(it2), z2(end2) { maybe_end(); }
constexpr zip_iterator() {}
static constexpr self end() { return self(); }
self operator++() { x1++; x2++; self tmp = *this; maybe_end(); return tmp; }
self operator++(int) { self tmp(*this); x1++; x2++; maybe_end(); return tmp; }
bool operator==(const self& rhs) const { return x1 == rhs.x1 && x2 == rhs.x2; }
bool operator!=(const self& rhs) const { return !this->operator ==(rhs); }
t operator*() { return m(*x1, *x2); }
};
}
class Gain {
private:
static constexpr bool use_box_filter = true;
static constexpr int box_size = 16 / 640.;
static constexpr double control_upper_bound = 1.0; // XXX FIXME implement for logitech crapola
static constexpr int GAIN_HISTORY_COUNT = 50, GAIN_HISTORY_EVERY_MS = 998;
using t_frame = cv::Mat_<unsigned char>;
int control;
double step, eps;
t_frame last_frame;
std::deque<double> means_history;
Timer debug_timer, history_timer;
typedef unsigned char px;
template<typename t1, typename t2, typename t, typename m = t>
using zip_iterator = detail::zip_iterator<t1, t2, t, m>;
static double mean(const cv::Mat& frame)
{
// grayscale only
assert(frame.channels() == 1);
assert(frame.elemSize() == 1);
assert(!frame.empty());
return std::accumulate(frame.begin<px>(), frame.end<px>(), 0.) / (frame.rows * frame.cols);
}
static double get_variance(const cv::Mat& frame, double mean)
{
struct variance {
private:
double mu;
public:
variance(double mu) : mu(mu) {}
double operator()(double seed, px p)
{
double tmp = p - mu;
return seed + tmp * tmp;
}
} logic(mean);
return std::accumulate(frame.begin<unsigned char>(), frame.end<unsigned char>(), 0., logic) / (frame.rows * frame.cols);
}
static double get_covariance(const cv::Mat& frame, const cv::Mat& old_frame)
{
double mean_0 = mean(frame), mean_1 = mean(old_frame);
struct covariance {
public:
using pair = std::tuple<px, px>;
private:
double mu_0, mu_1;
inline double Cov(double seed, const pair& t)
{
px p0 = std::get<0>(t);
px p1 = std::get<1>(t);
return seed + (p0 - mu_0) * (p1 - mu_1);
}
public:
covariance(double mu_0, double mu_1) : mu_0(mu_0), mu_1(mu_1) {}
double operator()(double seed, const pair& t)
{
return Cov(seed, t);
}
} logic(mean_0, mean_1);
const double N = frame.rows * frame.cols;
using zipper = zip_iterator<cv::MatConstIterator_<px>,
cv::MatConstIterator_<px>,
std::tuple<px, px>>;
zipper zip(frame.begin<px>(),
frame.end<px>(),
old_frame.begin<px>(),
old_frame.end<px>());
std::vector<covariance::pair> values(zip, zipper::end());
return std::accumulate(values.begin(), values.end(), 0., logic) / N;
}
#pragma GCC diagnostic ignored "-Wsign-compare"
public:
Gain(int control = CV_CAP_PROP_GAIN, double step = 0.3, double eps = 0.02) :
control(control), step(step), eps(eps)
{
}
void tick(cv::VideoCapture&, const cv::Mat& frame_)
{
cv::Mat frame;
if (use_box_filter)
{
cv::Mat tmp(frame_);
static constexpr int min_box = 3;
static constexpr int box = 2 * box_size;
cv::blur(frame_, tmp, cv::Size(min_box + box * frame_.cols, min_box + box * frame_.rows));
frame = tmp;
}
else
frame = frame_;
if (last_frame.rows != frame.rows || last_frame.cols != frame.cols)
last_frame = t_frame();
if (last_frame.empty())
{
last_frame = frame.clone();
//return;
}
if (history_timer.elapsed_ms() > GAIN_HISTORY_EVERY_MS)
{
const double cov = get_covariance(frame, last_frame);
history_timer.start();
last_frame = frame.clone();
if (means_history.size() == GAIN_HISTORY_COUNT)
means_history.pop_back();
}
if (debug_timer.elapsed_ms() > 1000)
{
const double mu = mean(frame);
const double var = get_variance(frame, mu);
debug_timer.start();
qDebug() << "---- gain:" << "mean" << mu << "variance" << var;
const int sz = means_history.size();
if (sz)
{
fprintf(stderr, "covs{%d}: ", sz);
for (int i = 0; i < sz; i++)
fprintf(stderr, "%f ", means_history[i]);
fprintf(stderr, "\n");
}
}
}
};
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