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authorStéphane Lenclud <github@lenclud.com>2019-04-13 12:59:22 +0200
committerStéphane Lenclud <github@lenclud.com>2019-04-24 18:46:12 +0200
commitabaf23d7043c42a07e0d71fc0a17a8264c828d48 (patch)
treeb5e8f14e4730bb45d26d2858a26ac2c6cbfc23a8 /tracker-easy/cv-point-extractor.cpp
parentac8f7a3e7b29a5ce60ae751ee3a97e3b344c8f3f (diff)
EasyTracker: Adding namespace. Reducing number of classes.
Diffstat (limited to 'tracker-easy/cv-point-extractor.cpp')
-rw-r--r--tracker-easy/cv-point-extractor.cpp120
1 files changed, 60 insertions, 60 deletions
diff --git a/tracker-easy/cv-point-extractor.cpp b/tracker-easy/cv-point-extractor.cpp
index 56de4c0b..9720eb63 100644
--- a/tracker-easy/cv-point-extractor.cpp
+++ b/tracker-easy/cv-point-extractor.cpp
@@ -8,6 +8,7 @@
#include "cv-point-extractor.h"
#include "preview.h"
+#include "tracker-easy.h"
#include "cv/numeric.hpp"
#include "compat/math.hpp"
@@ -22,87 +23,86 @@
using namespace numeric_types;
-
-
-CvPointExtractor::CvPointExtractor(const QString& module_name) : s(module_name)
+namespace EasyTracker
{
+
+ CvPointExtractor::CvPointExtractor() : s(KModuleName)
+ {
-}
+ }
-void CvPointExtractor::extract_points(const cv::Mat& frame, cv::Mat* aPreview, std::vector<vec2>& aPoints)
-{
+ void CvPointExtractor::extract_points(const cv::Mat& frame, cv::Mat* aPreview, std::vector<vec2>& aPoints)
+ {
- // Contours detection
- std::vector<std::vector<cv::Point> > contours;
- cv::findContours(frame, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
+ // Contours detection
+ std::vector<std::vector<cv::Point> > contours;
+ cv::findContours(frame, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
- // Workout which countours are valid points
- for (size_t i = 0; i < contours.size(); i++)
- {
- if (aPreview)
+ // Workout which countours are valid points
+ for (size_t i = 0; i < contours.size(); i++)
{
- cv::drawContours(*aPreview, contours, i, CV_RGB(255, 0, 0), 2);
- }
+ if (aPreview)
+ {
+ cv::drawContours(*aPreview, contours, i, CV_RGB(255, 0, 0), 2);
+ }
- cv::Rect bBox;
- bBox = cv::boundingRect(contours[i]);
+ cv::Rect bBox;
+ bBox = cv::boundingRect(contours[i]);
- float ratio = (float)bBox.width / (float)bBox.height;
- if (ratio > 1.0f)
- ratio = 1.0f / ratio;
+ float ratio = (float)bBox.width / (float)bBox.height;
+ if (ratio > 1.0f)
+ ratio = 1.0f / ratio;
- // Searching for a bBox almost square
- float minArea = s.min_point_size*s.min_point_size;
- float maxArea = s.max_point_size*s.max_point_size;
- if (bBox.width >= s.min_point_size
- && bBox.height >= s.min_point_size
- && bBox.width <= s.max_point_size
- && bBox.height <= s.max_point_size
- && bBox.area() >= minArea
- && bBox.area() <= maxArea
- /*&& ratio > 0.75 &&*/)
- {
- vec2 center;
- center[0] = bBox.x + bBox.width / 2;
- center[1] = bBox.y + bBox.height / 2;
- aPoints.push_back(vec2(center));
-
- if (aPreview)
+ // Searching for a bBox almost square
+ float minArea = s.min_point_size*s.min_point_size;
+ float maxArea = s.max_point_size*s.max_point_size;
+ if (bBox.width >= s.min_point_size
+ && bBox.height >= s.min_point_size
+ && bBox.width <= s.max_point_size
+ && bBox.height <= s.max_point_size
+ && bBox.area() >= minArea
+ && bBox.area() <= maxArea
+ /*&& ratio > 0.75 &&*/)
{
- cv::rectangle(*aPreview, bBox, CV_RGB(0, 255, 0), 2);
+ vec2 center;
+ center[0] = bBox.x + bBox.width / 2;
+ center[1] = bBox.y + bBox.height / 2;
+ aPoints.push_back(vec2(center));
+
+ if (aPreview)
+ {
+ cv::rectangle(*aPreview, bBox, CV_RGB(0, 255, 0), 2);
+ }
}
}
- }
-
- // Keep the three points which are highest, i.e. with lowest Y coordinates
- // That's most usefull to discard noise from features below your cap/head.
- // Typically noise comming from zippers and metal parts on your clothing.
- // With a cap tracker it also successfully discards noise glasses.
- // However it may not work as good with a clip user wearing glasses.
- while (aPoints.size() > 3) // Until we have no more than three points
- {
- int maxY = 0;
- int index = -1;
- // Search for the point with highest Y coordinate
- for (size_t i = 0; i < aPoints.size(); i++)
+ // Keep the three points which are highest, i.e. with lowest Y coordinates
+ // That's most usefull to discard noise from features below your cap/head.
+ // Typically noise comming from zippers and metal parts on your clothing.
+ // With a cap tracker it also successfully discards noise glasses.
+ // However it may not work as good with a clip user wearing glasses.
+ while (aPoints.size() > 3) // Until we have no more than three points
{
- if (aPoints[i][1] > maxY)
+ int maxY = 0;
+ int index = -1;
+
+ // Search for the point with highest Y coordinate
+ for (size_t i = 0; i < aPoints.size(); i++)
{
- maxY = aPoints[i][1];
- index = i;
+ if (aPoints[i][1] > maxY)
+ {
+ maxY = aPoints[i][1];
+ index = i;
+ }
}
- }
- // Discard it
- aPoints.erase(aPoints.begin() + index);
+ // Discard it
+ aPoints.erase(aPoints.begin() + index);
+ }
}
-
}
-
-