Dominant Color and Mean Color Squared

assets/webconfig/i18n/en.json

@@ -279,7 +279,7 @@
     "edt_conf_color_heading_title": "Color Calibration",
     "edt_conf_color_id_expl": "User given name",
     "edt_conf_color_id_title": "ID",
-    "edt_conf_color_imageToLedMappingType_expl": "Overwrites the LED area assignment of your LED layout if it's not \"multicolor\"",
+    "edt_conf_color_imageToLedMappingType_expl": "Overwrites the LED area assignment of your LED layout if it's not \"Mean Color Simple\"",
     "edt_conf_color_imageToLedMappingType_title": "LED area assignment",
     "edt_conf_color_leds_expl": "Assign this adjustment to all LEDs (*) or just some (0-24).",
     "edt_conf_color_leds_title": "LED index",
@@ -320,6 +320,7 @@
     "edt_conf_enum_color": "Color",
     "edt_conf_enum_custom": "Custom",
     "edt_conf_enum_decay": "Decay",
+    "edt_conf_enum_delay": "Delay only",
     "edt_conf_enum_dl_error": "Error",
     "edt_conf_enum_dl_informational": "Informational",
     "edt_conf_enum_dl_nodebug": "No Debug output",
@@ -328,6 +329,7 @@
     "edt_conf_enum_dl_verbose1": "Verbosity level 1",
     "edt_conf_enum_dl_verbose2": "Verbosity level 2",
     "edt_conf_enum_dl_verbose3": "Verbosity level 3",
+    "edt_conf_enum_dominant_color": "Dominant Color - per LED",
     "edt_conf_enum_effect": "Effect",
     "edt_conf_enum_gbr": "GBR",
     "edt_conf_enum_grb": "GRB",
@@ -338,7 +340,8 @@
     "edt_conf_enum_logsilent": "Silent",
     "edt_conf_enum_logverbose": "Verbose",
     "edt_conf_enum_logwarn": "Warning",
-    "edt_conf_enum_multicolor_mean": "Multicolor",
+    "edt_conf_enum_multicolor_mean": "Mean Color Simple - per LED",
+    "edt_conf_enum_multicolor_mean_squared": "Mean Color Squared - per LED",
     "edt_conf_enum_please_select": "Please Select",
     "edt_conf_enum_rbg": "RBG",
     "edt_conf_enum_rgb": "RGB",
@@ -348,7 +351,7 @@
     "edt_conf_enum_transeffect_sudden": "Sudden",
     "edt_conf_enum_udp_ddp": "DDP",
     "edt_conf_enum_udp_raw": "RAW",
-    "edt_conf_enum_unicolor_mean": "Unicolor",
+    "edt_conf_enum_unicolor_mean": "Mean Color Image - applied to all LEDs",
     "edt_conf_fbs_heading_title": "Flatbuffers Server",
     "edt_conf_fbs_timeout_expl": "If no data is received for the given period, the component will be (soft) disabled.",
     "edt_conf_fbs_timeout_title": "Timeout",

include/hyperion/ImageProcessor.h

@@ -98,12 +98,12 @@ public:
 	}
 
 	///
-	/// Processes the image to a list of led colors. This will update the size of the buffer-image
+	/// Processes the image to a list of LED colors. This will update the size of the buffer-image
-	/// if required and call the image-to-leds mapping to determine the mean color per led.
+	/// if required and call the image-to-LEDs mapping to determine the color per LED.
 	///
-	/// @param[in] image  The image to translate to led values
+	/// @param[in] image  The image to translate to LED values
 	///
-	/// @return The color value per led
+	/// @return The color value per LED
 	///
 	template <typename Pixel_T>
 	std::vector<ColorRgb> process(const Image<Pixel_T>& image)
@@ -120,8 +120,17 @@ public:
 			// Create a result vector and call the 'in place' function
 			switch (_mappingType)
 			{
-				case 1: colors = _imageToLeds->getUniLedColor(image); break;
+			case 1:
-				default: colors = _imageToLeds->getMeanLedColor(image);
+				colors = _imageToLeds->getUniLedColor(image);
+				break;
+			case 2:
+				colors = _imageToLeds->getMeanLedColorSqrt(image);
+				break;
+			case 3:
+				colors = _imageToLeds->getDominantLedColor(image);
+				break;
+			default:
+				colors = _imageToLeds->getMeanLedColor(image);
 			}
 		}
 		else
@@ -136,8 +145,8 @@ public:
 	///
 	/// Determines the led colors of the image in the buffer.
 	///
-	/// @param[in] image  The image to translate to led values
+	/// @param[in] image  The image to translate to LED values
-	/// @param[out] ledColors  The color value per led
+	/// @param[out] ledColors  The color value per LED
 	///
 	template <typename Pixel_T>
 	void process(const Image<Pixel_T>& image, std::vector<ColorRgb>& ledColors)
@@ -153,8 +162,17 @@ public:
 			// Determine the mean or uni colors of each led (using the existing mapping)
 			switch (_mappingType)
 			{
-				case 1: _imageToLeds->getUniLedColor(image, ledColors); break;
+			case 1:
-				default: _imageToLeds->getMeanLedColor(image, ledColors);
+				_imageToLeds->getUniLedColor(image, ledColors);
+				break;
+			case 2:
+				_imageToLeds->getMeanLedColorSqrt(image, ledColors);
+				break;
+			case 3:
+				_imageToLeds->getDominantLedColor(image, ledColors);
+				break;
+			default:
+				_imageToLeds->getMeanLedColor(image, ledColors);
 			}
 		}
 		else
@@ -164,9 +182,9 @@ public:
 	}
 
 	///
-	/// Get the hscan and vscan parameters for a single led
+	/// Get the hscan and vscan parameters for a single LED
 	///
-	/// @param[in] led Index of the led
+	/// @param[in] led Index of the LED
 	/// @param[out] hscanBegin begin of the hscan
 	/// @param[out] hscanEnd end of the hscan
 	/// @param[out] vscanBegin begin of the hscan
@@ -208,9 +226,6 @@ private:
 				// Construct a new buffer and mapping
 				_imageToLeds = new hyperion::ImageToLedsMap(image.width(), image.height(), border.horizontalSize, border.verticalSize, _ledString.leds());
 			}
-
-			//Debug(Logger::getInstance("BLACKBORDER"),  "CURRENT BORDER TYPE: unknown=%d hor.size=%d vert.size=%d",
-			//	border.unknown, border.horizontalSize, border.verticalSize );
 		}
 	}
 
@@ -228,7 +243,7 @@ private:
 	/// The mapping of image-pixels to LEDs
 	hyperion::ImageToLedsMap* _imageToLeds;
 
-	/// Type of image 2 led mapping
+	/// Type of image to LED mapping
 	int _mappingType;
 	/// Type of last requested user type
 	int _userMappingType;

include/hyperion/ImageToLedsMap.h

@@ -1,9 +1,10 @@
-
+#ifndef IMAGETOLEDSMAP_H
-#pragma once
+#define IMAGETOLEDSMAP_H
 
 // STL includes
 #include <cassert>
 #include <sstream>
+#include <cmath>
 
 // hyperion-utils includes
 #include <utils/Image.h>
@@ -14,18 +15,17 @@
 
 namespace hyperion
 {
-
 	///
-	/// The ImageToLedsMap holds a mapping of indices into an image to leds. It can be used to
+	/// The ImageToLedsMap holds a mapping of indices into an image to LEDs. It can be used to
-	/// calculate the average (or mean) color per led for a specific region.
+	/// calculate the average (aka mean) or dominant color per LED for a given region.
 	///
 	class ImageToLedsMap
 	{
 	public:
 
 		///
-		/// Constructs an mapping from the absolute indices in an image to each led based on the border
+		/// Constructs an mapping from the absolute indices in an image to each LED based on the border
-		/// definition given in the list of leds. The map holds absolute indices to any given image,
+		/// definition given in the list of LEDs. The map holds absolute indices to any given image,
 		/// provided that it is row-oriented.
 		/// The mapping is created purely on size (width and height). The given borders are excluded
 		/// from indexing.
@@ -37,10 +37,10 @@ namespace hyperion
 		/// @param[in] leds             The list with led specifications
 		///
 		ImageToLedsMap(
-				const unsigned width,
+				const int width,
-				const unsigned height,
+				const int height,
-				const unsigned horizontalBorder,
+				const int horizontalBorder,
-				const unsigned verticalBorder,
+				const int verticalBorder,
 				const std::vector<Led> & leds);
 
 		///
@@ -48,25 +48,25 @@ namespace hyperion
 		///
 		/// @return The width of the indexed image [pixels]
 		///
-		unsigned width() const;
+		int width() const;
 
 		///
 		/// Returns the height of the indexed image
 		///
 		/// @return The height of the indexed image [pixels]
 		///
-		unsigned height() const;
+		int height() const;
 
-		unsigned horizontalBorder() const { return _horizontalBorder; }
+		int horizontalBorder() const { return _horizontalBorder; }
-		unsigned verticalBorder() const { return _verticalBorder; }
+		int verticalBorder() const { return _verticalBorder; }
 
 		///
-		/// Determines the mean color for each led using the mapping the image given
+		/// Determines the mean color for each LED using the LED area mapping given
 		/// at construction.
 		///
 		/// @param[in] image  The image from which to extract the led colors
 		///
-		/// @return ledColors  The vector containing the output
+		/// @return The vector containing the output
 		///
 		template <typename Pixel_T>
 		std::vector<ColorRgb> getMeanLedColor(const Image<Pixel_T> & image) const
@@ -77,17 +77,15 @@ namespace hyperion
 		}
 
 		///
-		/// Determines the mean color for each led using the mapping the image given
+		/// Determines the mean color for each LED using the LED area mapping given
 		/// at construction.
 		///
-		/// @param[in] image  The image from which to extract the led colors
+		/// @param[in] image  The image from which to extract the LED colors
 		/// @param[out] ledColors  The vector containing the output
 		///
 		template <typename Pixel_T>
 		void getMeanLedColor(const Image<Pixel_T> & image, std::vector<ColorRgb> & ledColors) const
 		{
-			// Sanity check for the number of leds
-			//assert(_colorsMap.size() == ledColors.size());
 			if(_colorsMap.size() != ledColors.size())
 			{
 				Debug(Logger::getInstance("HYPERION"), "ImageToLedsMap: colorsMap.size != ledColors.size -> %d != %d", _colorsMap.size(), ledColors.size());
@@ -104,12 +102,52 @@ namespace hyperion
 		}
 
 		///
-		/// Determines the uni color for each led using the mapping the image given
+		/// Determines the mean color squared for each LED using the LED area mapping given
 		/// at construction.
 		///
 		/// @param[in] image  The image from which to extract the led colors
 		///
-		/// @return ledColors  The vector containing the output
+		/// @return The vector containing the output
+		///
+		template <typename Pixel_T>
+		std::vector<ColorRgb> getMeanLedColorSqrt(const Image<Pixel_T> & image) const
+		{
+			std::vector<ColorRgb> colors(_colorsMap.size(), ColorRgb{0,0,0});
+			getMeanLedColorSqrt(image, colors);
+			return colors;
+		}
+
+		///
+		/// Determines the mean color squared for each LED using the LED area mapping given
+		/// at construction.
+		///
+		/// @param[in] image  The image from which to extract the LED colors
+		/// @param[out] ledColors  The vector containing the output
+		///
+		template <typename Pixel_T>
+		void getMeanLedColorSqrt(const Image<Pixel_T> & image, std::vector<ColorRgb> & ledColors) const
+		{
+			if(_colorsMap.size() != ledColors.size())
+			{
+				Debug(Logger::getInstance("HYPERION"), "ImageToLedsMap: colorsMap.size != ledColors.size -> %d != %d", _colorsMap.size(), ledColors.size());
+				return;
+			}
+
+			// Iterate each led and compute the mean
+			auto led = ledColors.begin();
+			for (auto colors = _colorsMap.begin(); colors != _colorsMap.end(); ++colors, ++led)
+			{
+				const ColorRgb color = calcMeanColorSqrt(image, *colors);
+				*led = color;
+			}
+		}
+
+		///
+		/// Determines the mean color of the image and assigns it to all LEDs
+		///
+		/// @param[in] image  The image from which to extract the led color
+		///
+		/// @return The vector containing the output
 		///
 		template <typename Pixel_T>
 		std::vector<ColorRgb> getUniLedColor(const Image<Pixel_T> & image) const
@@ -120,57 +158,95 @@ namespace hyperion
 		}
 
 		///
-		/// Determines the uni color for each led using the mapping the image given
+		/// Determines the mean color of the image and assigns it to all LEDs
-		/// at construction.
 		///
-		/// @param[in] image  The image from which to extract the led colors
+		/// @param[in] image  The image from which to extract the LED colors
 		/// @param[out] ledColors  The vector containing the output
 		///
 		template <typename Pixel_T>
 		void getUniLedColor(const Image<Pixel_T> & image, std::vector<ColorRgb> & ledColors) const
 		{
-			// Sanity check for the number of leds
-			// assert(_colorsMap.size() == ledColors.size());
 			if(_colorsMap.size() != ledColors.size())
 			{
 				Debug(Logger::getInstance("HYPERION"), "ImageToLedsMap: colorsMap.size != ledColors.size -> %d != %d", _colorsMap.size(), ledColors.size());
 				return;
 			}
 
-
 			// calculate uni color
 			const ColorRgb color = calcMeanColor(image);
+			//Update all LEDs with same color
 			std::fill(ledColors.begin(),ledColors.end(), color);
 		}
 
+		///
+		/// Determines the dominant color for each LED using the LED area mapping given
+		/// at construction.
+		///
+		/// @param[in] image  The image from which to extract the LED color
+		///
+		/// @return The vector containing the output
+		///
+		template <typename Pixel_T>
+		std::vector<ColorRgb> getDominantLedColor(const Image<Pixel_T> & image) const
+		{
+			std::vector<ColorRgb> colors(_colorsMap.size(), ColorRgb{0,0,0});
+			getDominantLedColor(image, colors);
+			return colors;
+		}
+
+		///
+		/// Determines the dominant color for each LED using the LED area mapping given
+		/// at construction.
+		///
+		/// @param[in] image  The image from which to extract the LED colors
+		/// @param[out] ledColors  The vector containing the output
+		///
+		template <typename Pixel_T>
+		void getDominantLedColor(const Image<Pixel_T> & image, std::vector<ColorRgb> & ledColors) const
+		{
+			// Sanity check for the number of LEDs
+			if(_colorsMap.size() != ledColors.size())
+			{
+				Debug(Logger::getInstance("HYPERION"), "ImageToLedsMap: colorsMap.size != ledColors.size -> %d != %d", _colorsMap.size(), ledColors.size());
+				return;
+			}
+
+			// Iterate each led and compute the dominant color
+			auto led = ledColors.begin();
+			for (auto colors = _colorsMap.begin(); colors != _colorsMap.end(); ++colors, ++led)
+			{
+				const ColorRgb color = calculateDominantColor(image, *colors);
+				*led = color;
+			}
+		}
+
 	private:
 		/// The width of the indexed image
-		const unsigned _width;
+		const int _width;
 		/// The height of the indexed image
-		const unsigned _height;
+		const int _height;
 
-		const unsigned _horizontalBorder;
+		const int _horizontalBorder;
 
-		const unsigned _verticalBorder;
+		const int _verticalBorder;
 
 		/// The absolute indices into the image for each led
-		std::vector<std::vector<int32_t>> _colorsMap;
+		std::vector<std::vector<int>> _colorsMap;
 
 		///
-		/// Calculates the 'mean color' of the given list. This is the mean over each color-channel
+		/// Calculates the 'mean color' over the given image. This is the mean over each color-channel
 		/// (red, green, blue)
 		///
 		/// @param[in] image The image a section from which an average color must be computed
-		/// @param[in] colors  The list with colors
+		/// @param[in] pixels The list of pixel indices for the given image to be evaluated///
 		///
 		/// @return The mean of the given list of colors (or black when empty)
 		///
 		template <typename Pixel_T>
-		ColorRgb calcMeanColor(const Image<Pixel_T> & image, const std::vector<int32_t> & colors) const
+		ColorRgb calcMeanColor(const Image<Pixel_T> & image, const std::vector<int32_t> & pixels) const
 		{
-			const auto colorVecSize = colors.size();
+			const auto pixelNum = pixels.size();
-
+			if (pixelNum == 0)
-			if (colorVecSize == 0)
 			{
 				return ColorRgb::BLACK;
 			}
@@ -179,20 +255,20 @@ namespace hyperion
 			uint_fast32_t cummRed   = 0;
 			uint_fast32_t cummGreen = 0;
 			uint_fast32_t cummBlue  = 0;
-			const auto& imgData = image.memptr();
 
-			for (const unsigned colorOffset : colors)
+			const auto& imgData = image.memptr();
+			for (const int pixelOffset : pixels)
 			{
-				const auto& pixel = imgData[colorOffset];
+				const auto& pixel = imgData[pixelOffset];
 				cummRed   += pixel.red;
 				cummGreen += pixel.green;
 				cummBlue  += pixel.blue;
 			}
 
 			// Compute the average of each color channel
-			const uint8_t avgRed   = uint8_t(cummRed/colorVecSize);
+			const uint8_t avgRed   = uint8_t(cummRed/pixelNum);
-			const uint8_t avgGreen = uint8_t(cummGreen/colorVecSize);
+			const uint8_t avgGreen = uint8_t(cummGreen/pixelNum);
-			const uint8_t avgBlue  = uint8_t(cummBlue/colorVecSize);
+			const uint8_t avgBlue  = uint8_t(cummBlue/pixelNum);
 
 			// Return the computed color
 			return {avgRed, avgGreen, avgBlue};
@@ -213,11 +289,11 @@ namespace hyperion
 			uint_fast32_t cummRed   = 0;
 			uint_fast32_t cummGreen = 0;
 			uint_fast32_t cummBlue  = 0;
-			const unsigned imageSize = image.width() * image.height();
 
+			const unsigned pixelNum = image.width() * image.height();
 			const auto& imgData = image.memptr();
 
-			for (unsigned idx=0; idx<imageSize; idx++)
+			for (unsigned idx=0; idx<pixelNum; idx++)
 			{
 				const auto& pixel = imgData[idx];
 				cummRed   += pixel.red;
@@ -226,13 +302,152 @@ namespace hyperion
 			}
 
 			// Compute the average of each color channel
-			const uint8_t avgRed   = uint8_t(cummRed/imageSize);
+			const uint8_t avgRed   = uint8_t(cummRed/pixelNum);
-			const uint8_t avgGreen = uint8_t(cummGreen/imageSize);
+			const uint8_t avgGreen = uint8_t(cummGreen/pixelNum);
-			const uint8_t avgBlue  = uint8_t(cummBlue/imageSize);
+			const uint8_t avgBlue  = uint8_t(cummBlue/pixelNum);
 
 			// Return the computed color
 			return {avgRed, avgGreen, avgBlue};
 		}
+
+		///
+		/// Calculates the 'mean color' squared over the given image. This is the mean over each color-channel
+		/// (red, green, blue)
+		///
+		/// @param[in] image The image a section from which an average color must be computed
+		/// @param[in] pixels The list of pixel indices for the given image to be evaluated
+		///
+		/// @return The mean of the given list of colors (or black when empty)
+		///
+		template <typename Pixel_T>
+		ColorRgb calcMeanColorSqrt(const Image<Pixel_T> & image, const std::vector<int32_t> & pixels) const
+		{
+			const auto pixelNum = pixels.size();
+			if (pixelNum == 0)
+			{
+				return ColorRgb::BLACK;
+			}
+
+			// Accumulate the squared sum of each separate color channel
+			uint_fast32_t cummRed   = 0;
+			uint_fast32_t cummGreen = 0;
+			uint_fast32_t cummBlue  = 0;
+
+			const auto& imgData = image.memptr();
+
+			for (const int colorOffset : pixels)
+			{
+				const auto& pixel = imgData[colorOffset];
+
+				cummRed   += pixel.red * pixel.red;
+				cummGreen += pixel.green * pixel.green;
+				cummBlue  += pixel.blue * pixel.blue;
+			}
+
+			// Compute the average of each color channel
+			const uint8_t avgRed   = uint8_t(std::min(std::lround(sqrt(static_cast<double>(cummRed/pixelNum))), 255L));
+			const uint8_t avgGreen = uint8_t(std::min(std::lround(sqrt(static_cast<double>(cummGreen/pixelNum))), 255L));
+			const uint8_t avgBlue  = uint8_t(std::min(std::lround(sqrt(static_cast<double>(cummBlue/pixelNum))), 255L));
+
+			// Return the computed color
+			return {avgRed, avgGreen, avgBlue};
+		}
+
+		///
+		/// Calculates the 'mean color' squared over the given image. This is the mean over each color-channel
+		/// (red, green, blue)
+		///
+		/// @param[in] image The image a section from which an average color must be computed
+		///
+		/// @return The mean of the given list of colors (or black when empty)
+		///
+		template <typename Pixel_T>
+		ColorRgb calcMeanColorSqrt(const Image<Pixel_T> & image) const
+		{
+			// Accumulate the squared sum of each separate color channel
+			uint_fast32_t cummRed   = 0;
+			uint_fast32_t cummGreen = 0;
+			uint_fast32_t cummBlue  = 0;
+
+			const unsigned pixelNum = image.width() * image.height();
+			const auto& imgData = image.memptr();
+
+			for (int idx=0; idx<pixelNum; ++idx)
+			{
+				const auto& pixel = imgData[idx];
+				cummRed   += pixel.red * pixel.red;
+				cummGreen += pixel.green * pixel.green;
+				cummBlue  += pixel.blue * pixel.blue;
+			}
+
+			// Compute the average of each color channel
+			const uint8_t avgRed   = uint8_t(std::lround(sqrt(static_cast<double>(cummRed/pixelNum))));
+			const uint8_t avgGreen = uint8_t(std::lround(sqrt(static_cast<double>(cummGreen/pixelNum))));
+			const uint8_t avgBlue  = uint8_t(std::lround(sqrt(static_cast<double>(cummBlue/pixelNum))));
+
+			// Return the computed color
+			return {avgRed, avgGreen, avgBlue};
+		}
+
+		///
+		/// Calculates the 'dominant color' of an image area defined by a list of pixel indices
+		///
+		/// @param[in] image The image for which a dominant color is to be computed
+		/// @param[in] pixels The list of pixel indices for the given image to be evaluated
+		///
+		/// @return The image area's dominant color or black, if no pixel indices provided
+		///
+		template <typename Pixel_T>
+		ColorRgb calculateDominantColor(const Image<Pixel_T> & image, const std::vector<int> & pixels) const
+		{
+			ColorRgb dominantColor {ColorRgb::BLACK};
+
+			const auto pixelNum = pixels.size();
+			if (pixelNum > 0)
+			{
+				const auto& imgData = image.memptr();
+
+				QMap<QRgb,int> colorDistributionMap;
+				int count = 0;
+				for (const int pixelOffset : pixels)
+				{
+					QRgb color = imgData[pixelOffset].rgb();
+					if (colorDistributionMap.contains(color)) {
+						colorDistributionMap[color] = colorDistributionMap[color] + 1;
+					}
+					else  {
+						colorDistributionMap[color] = 1;
+					}
+
+					int colorsFound  =  colorDistributionMap[color];
+					if (colorsFound > count)  {
+						dominantColor.setRgb(color);
+						count = colorsFound;
+					}
+				}
+			}
+			return dominantColor;
+		}
+
+		///
+		/// Calculates the 'dominant color' of an image
+		///
+		/// @param[in] image The image for which a dominant color is to be computed
+		///
+		/// @return The image's dominant color
+		///
+		template <typename Pixel_T>
+		ColorRgb calculateDominantColor(const Image<Pixel_T> & image) const
+		{
+			const unsigned pixelNum = image.width() * image.height();
+
+			std::vector<int> pixels(pixelNum);
+			std::iota(pixels.begin(), pixels.end(), 0);
+
+			return calculateDominantColor(image, pixels);
+		}
 	};
 
 } // end namespace hyperion
+
+#endif // IMAGETOLEDSMAP_H

include/utils/ColorRgb.h

@@ -6,6 +6,7 @@
 
 #include <QString>
 #include <QTextStream>
+#include <QRgb>
 
 ///
 /// Plain-Old-Data structure containing the red-green-blue color specification. Size of the
@@ -52,6 +53,18 @@ struct ColorRgb
 		return a;
 	}
 
+	QRgb rgb() const
+	{
+		return qRgb(red,green,blue);
+	}
+
+	void setRgb(QRgb rgb)
+	{
+		red = static_cast<uint8_t>(qRed(rgb));
+		green = static_cast<uint8_t>(qGreen(rgb));
+		blue = static_cast<uint8_t>(qBlue(rgb));
+	}
+
 	QString toQString() const
 	{
 		return QString("(%1,%2,%3)").arg(red).arg(green).arg(blue);

libsrc/hyperion/ImageProcessor.cpp

@@ -7,23 +7,47 @@
 // Blacborder includes
 #include <blackborder/BlackBorderProcessor.h>
 
+#include <QRgb>
+
 using namespace hyperion;
 
 // global transform method
 int ImageProcessor::mappingTypeToInt(const QString& mappingType)
 {
 	if (mappingType == "unicolor_mean" )
+	{
 		return 1;
-
+	}
+	else if (mappingType == "multicolor_mean_squared" )
+	{
+		return 2;
+	}
+	else if (mappingType == "dominant_color" )
+	{
+		return 3;
+	}
 	return 0;
 }
 // global transform method
 QString ImageProcessor::mappingTypeToStr(int mappingType)
 {
-	if (mappingType == 1 )
+	QString typeText;
-		return "unicolor_mean";
+	switch (mappingType) {
+	case 1:
+		typeText = "unicolor_mean";
+		break;
+	case 2:
+		typeText = "multicolor_mean_squared";
+		break;
+	case 3:
+		typeText = "dominant_color";
+		break;
+	default:
+		typeText = "multicolor_mean";
+		break;
+	}
 
-	return "multicolor_mean";
+	return typeText;
 }
 
 ImageProcessor::ImageProcessor(const LedString& ledString, Hyperion* hyperion)

libsrc/hyperion/ImageToLedsMap.cpp

@@ -3,10 +3,10 @@
 using namespace hyperion;
 
 ImageToLedsMap::ImageToLedsMap(
-		unsigned width,
+		int width,
-		unsigned height,
+		int height,
-		unsigned horizontalBorder,
+		int horizontalBorder,
-		unsigned verticalBorder,
+		int verticalBorder,
 		const std::vector<Led>& leds)
 	: _width(width)
 	, _height(height)
@@ -23,10 +23,13 @@ ImageToLedsMap::ImageToLedsMap(
 	// Reserve enough space in the map for the leds
 	_colorsMap.reserve(leds.size());
 
-	const unsigned xOffset      = _verticalBorder;
+	const int xOffset      = _verticalBorder;
-	const unsigned actualWidth  = _width  - 2 * _verticalBorder;
+	const int actualWidth  = _width  - 2 * _verticalBorder;
-	const unsigned yOffset      = _horizontalBorder;
+	const int yOffset      = _horizontalBorder;
-	const unsigned actualHeight = _height - 2 * _horizontalBorder;
+	const int actualHeight = _height - 2 * _horizontalBorder;
+
+	size_t	totalCount = 0;
+	size_t	totalCapacity = 0;
 
 	for (const Led& led : leds)
 	{
@@ -38,10 +41,10 @@ ImageToLedsMap::ImageToLedsMap(
 		}
 
 		// Compute the index boundaries for this led
-		unsigned minX_idx = xOffset + unsigned(qRound(actualWidth  * led.minX_frac));
+		int minX_idx = xOffset + int32_t(qRound(actualWidth  * led.minX_frac));
-		unsigned maxX_idx = xOffset + unsigned(qRound(actualWidth  * led.maxX_frac));
+		int maxX_idx = xOffset + int32_t(qRound(actualWidth  * led.maxX_frac));
-		unsigned minY_idx = yOffset + unsigned(qRound(actualHeight * led.minY_frac));
+		int minY_idx = yOffset + int32_t(qRound(actualHeight * led.minY_frac));
-		unsigned maxY_idx = yOffset + unsigned(qRound(actualHeight * led.maxY_frac));
+		int maxY_idx = yOffset + int32_t(qRound(actualHeight * led.maxY_frac));
 
 		// make sure that the area is at least a single led large
 		minX_idx = qMin(minX_idx, xOffset + actualWidth - 1);
@@ -56,31 +59,43 @@ ImageToLedsMap::ImageToLedsMap(
 		}
 
 		// Add all the indices in the above defined rectangle to the indices for this led
-		const auto maxYLedCount = qMin(maxY_idx, yOffset+actualHeight);
+		const int maxYLedCount = qMin(maxY_idx, yOffset+actualHeight);
-		const auto maxXLedCount = qMin(maxX_idx, xOffset+actualWidth);
+		const int maxXLedCount = qMin(maxX_idx, xOffset+actualWidth);
 
-		std::vector<int32_t> ledColors;
+		const int realYLedCount = qAbs(maxYLedCount - minY_idx);
-		ledColors.reserve((size_t) maxXLedCount*maxYLedCount);
+		const int realXLedCount = qAbs(maxXLedCount - minX_idx);
 
-		for (unsigned y = minY_idx; y < maxYLedCount; ++y)
+		size_t totalSize = realYLedCount* realXLedCount;
+
+		std::vector<int> ledColors;
+		ledColors.reserve(totalSize);
+
+		for (int y = minY_idx; y < maxYLedCount; ++y)
 		{
-			for (unsigned x = minX_idx; x < maxXLedCount; ++x)
+			for (int x = minX_idx; x < maxXLedCount; ++x)
 			{
-				ledColors.push_back(y*width + x);
+				ledColors.push_back( y * width + x);
 			}
 		}
 
 		// Add the constructed vector to the map
 		_colorsMap.push_back(ledColors);
+
+		totalCount += ledColors.size();
+		totalCapacity += ledColors.capacity();
+
 	}
+	Debug(Logger::getInstance("HYPERION"), "Total index number is: %d (memory: %d). image size: %d x %d, LED areas: %d",
+		totalCount, totalCapacity, width, height, leds.size());
+
 }
 
-unsigned ImageToLedsMap::width() const
+int ImageToLedsMap::width() const
 {
 	return _width;
 }
 
-unsigned ImageToLedsMap::height() const
+int ImageToLedsMap::height() const
 {
 	return _height;
 }

libsrc/hyperion/schema/schema-color.json

@@ -9,10 +9,10 @@
 			"type" : "string",
 			"required" : true,
 			"title" : "edt_conf_color_imageToLedMappingType_title",
-			"enum" : ["multicolor_mean", "unicolor_mean"],
+			"enum" : ["multicolor_mean", "unicolor_mean", "multicolor_mean_squared", "dominant_color"],
 			"default" : "multicolor_mean",
 			"options" : {
-				"enum_titles" : ["edt_conf_enum_multicolor_mean", "edt_conf_enum_unicolor_mean"]
+				"enum_titles" : ["edt_conf_enum_multicolor_mean", "edt_conf_enum_unicolor_mean", "edt_conf_enum_multicolor_mean_squared", "edt_conf_enum_dominant_color"]
 			},
 			"propertyOrder" : 1
 		},