[ADD] comments to skindetector
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@@ -1,6 +1,6 @@
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#pragma once
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#include<opencv2\core.hpp>
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#include <opencv2\core.hpp>
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#include <opencv2/imgcodecs.hpp>
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#include <opencv2/imgproc.hpp>
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#include <opencv2/imgproc/types_c.h>
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@@ -17,8 +17,26 @@ namespace computervision
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public:
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SkinDetector(void);
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/*
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* @brief draws the positions in where the skin color will be sampled.
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*
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* @param input the input matrix to sample the skin color from
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*/
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void drawSkinColorSampler(Mat input);
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/*
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* @brief calibrates the skin color detector with the given input frame
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*
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* @param input the input frame to calibrate from
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*/
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void calibrate(Mat input);
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/*
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* @brief gets the mask for the hand
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*
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* @param input the input matrix to get the skin mask from
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* @returns the skin mask in a new matrix
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*/
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Mat getSkinMask(Mat input);
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private:
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@@ -31,9 +49,25 @@ namespace computervision
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bool calibrated = false;
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// rectangles that get drawn to show where the skin color will be sampled
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Rect skinColorSamplerRectangle1, skinColorSamplerRectangle2;
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/*
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* @brief calculates the skin tresholds for the given samples
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*
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* @param sample1 the first sample
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* @param sample2 the second sample
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*/
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void calculateThresholds(Mat sample1, Mat sample2);
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void performOpening(Mat binaryImage, int structuralElementShapde, Point structuralElementSize);
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/**
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* @brief the opening. it generates the structuring element and performs the morphological transformations required to detect the hand.
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* This needs to be done to get the skin mask.
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*
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* @param binaryImage the matrix to perform the opening on. This needs to be a binary image, so consisting of only 1's and 0's.
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* @param structuralElementShape the shape to use for the kernel that is used with generating the structuring element
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* @param structuralElementSize the size of the kernel that will be used with generating the structuring element.
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*/
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void performOpening(Mat binaryImage, int structuralElementShape, Point structuralElementSize);
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};
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}
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@@ -57,6 +57,7 @@ int main(void)
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entities::Camera camera(glm::vec3(0, 0, 0), glm::vec3(0, 0, 0));
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// create object detection object instance
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computervision::ObjectDetection objDetect;
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