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-rw-r--r--facetracknoir/gain-control.hpp65
1 files changed, 39 insertions, 26 deletions
diff --git a/facetracknoir/gain-control.hpp b/facetracknoir/gain-control.hpp
index 28887700..98d45711 100644
--- a/facetracknoir/gain-control.hpp
+++ b/facetracknoir/gain-control.hpp
@@ -8,6 +8,8 @@
#include <deque>
#include <vector>
+#include <cstdio>
+
#include "timer.hpp"
#include <opencv2/core/core.hpp>
@@ -43,15 +45,14 @@ namespace detail {
class Gain {
private:
static constexpr bool use_box_filter = true;
- static constexpr int box_size = 20 / 640.;
+ 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 = 15, GAIN_HISTORY_EVERY_MS = 200;
+ static constexpr int GAIN_HISTORY_COUNT = 90, GAIN_HISTORY_EVERY_MS = 85;
int control;
double step, eps;
- std::deque<double> means_history;
-
+ std::deque<cv::Mat> means_history;
Timer debug_timer, history_timer;
typedef unsigned char px;
@@ -85,8 +86,10 @@ private:
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, double mean, double prev_mean)
+ 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>;
@@ -106,18 +109,18 @@ private:
{
return Cov(seed, t);
}
- } logic(mean, prev_mean);
+ } 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>>;
+ cv::MatConstIterator_<px>,
+ std::tuple<px, px>>;
zipper zip(frame.begin<px>(),
- frame.end<px>(),
- frame.begin<px>(),
- frame.end<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;
@@ -145,28 +148,38 @@ public:
}
else
frame = frame_;
-
- const double mu = mean(frame);
- const double var = get_variance(frame, mu);
-
- if (debug_timer.elapsed_ms() > 500)
- {
- debug_timer.start();
- qDebug() << "gain:" << "mean" << mu << "variance" << var;
- }
- const int sz = means_history.size();
-
- for (int i = 0; i < sz; i++)
+ if (debug_timer.elapsed_ms() > 1000)
{
- const double cov = get_covariance(frame, mu, means_history[i]);
+ const double mu = mean(frame);
+ const double var = get_variance(frame, mu);
- qDebug() << "cov" << i << cov;
+ debug_timer.start();
+ qDebug() << "---- gain:" << "mean" << mu << "variance" << var;
+
+ const int sz = means_history.size();
+
+ if (sz)
+ fprintf(stderr, "covs: ");
+
+ for (int i = 0; i < sz; i++)
+ {
+ if (means_history[i].rows != frame.rows || means_history[i].cols != frame.cols)
+ {
+ means_history.clear();
+ qDebug() << "\n!!! resolution reset";
+ break;
+ }
+ fprintf(stderr, "%f ", get_covariance(frame, means_history[i]));
+ }
+
+ if (sz)
+ fprintf(stderr, "\n");
}
if (GAIN_HISTORY_COUNT > means_history.size() && history_timer.elapsed_ms() > GAIN_HISTORY_EVERY_MS)
{
- means_history.push_front(mu);
+ means_history.push_front(frame.clone());
if (GAIN_HISTORY_COUNT == means_history.size())
means_history.pop_back();