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Derive ACFFeatureEvaluator from Algorithm

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This commit is contained in:
Vlad Shakhuro
2014-07-03 08:32:36 +04:00
parent c994b48966
commit 85aaf88aa9
3 changed files with 59 additions and 36 deletions
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26
modules/xobjdetect/include/opencv2/xobjdetect.hpp
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@@ -60,37 +60,31 @@ namespace xobjdetect
*/
void computeChannels(InputArray image, OutputArrayOfArrays channels);
class CV_EXPORTS ACFFeatureEvaluator
class CV_EXPORTS ACFFeatureEvaluator : public Algorithm
{
public:
/* Construct evaluator, set features to evaluate */
ACFFeatureEvaluator(const std::vector<Point3i>& features);
/* Set channels for feature evaluation */
void setChannels(InputArrayOfArrays channels);
virtual void setChannels(InputArrayOfArrays channels) = 0;
/* Set window position */
void setPosition(Size position);
virtual void setPosition(Size position) = 0;
/* Evaluate feature with given index for current channels
and window position */
int evaluate(size_t feature_ind) const;
virtual int evaluate(size_t feature_ind) const = 0;
/* Evaluate all features for current channels and window position
Returns matrix-column of features
*/
void evaluateAll(OutputArray feature_values) const;
virtual void evaluateAll(OutputArray feature_values) const = 0;
private:
/* Features to evaluate */
std::vector<Point3i> features_;
/* Channels for feature evaluation */
std::vector<Mat> channels_;
/* Channels window position */
Size position_;
};
/* Construct evaluator, set features to evaluate */
CV_EXPORTS Ptr<ACFFeatureEvaluator>
createACFFeatureEvaluator(const std::vector<Point3i>& features);
/* Generate acf features
window_size — size of window in which features should be evaluated
@@ -158,7 +152,7 @@ private:
float pos_value_, neg_value_;
};
class CV_EXPORTS WaldBoost
class CV_EXPORTS WaldBoost : public Algorithm
{
public:
/* Initialize WaldBoost cascade with default of specified parameters */