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Dominant Colors advanced
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87fbc08e0b
commit
10bfcb00b7
@ -330,6 +330,7 @@
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"edt_conf_enum_dl_verbose2": "Verbosity level 2",
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"edt_conf_enum_dl_verbose3": "Verbosity level 3",
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"edt_conf_enum_dominant_color": "Dominant Color - per LED",
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"edt_conf_enum_dominant_color_advanced": "Dominant Color Advanced - per LED",
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"edt_conf_enum_effect": "Effect",
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"edt_conf_enum_gbr": "GBR",
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"edt_conf_enum_grb": "GRB",
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@ -969,6 +970,7 @@
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"remote_maptype_intro": "Usually the LED layout defines which LED covers a specific picture area. You can change it here: $1.",
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"remote_maptype_label": "Mapping type",
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"remote_maptype_label_dominant_color": "Dominant Color",
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"remote_maptype_label_dominant_color_advanced": "Dominant Color Advanced",
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"remote_maptype_label_multicolor_mean": "Mean Color Simple",
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"remote_maptype_label_multicolor_mean_squared": "Mean Color Squared",
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"remote_maptype_label_unicolor_mean": "Mean Color Image",
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@ -129,6 +129,9 @@ public:
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case 3:
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colors = _imageToLeds->getDominantLedColor(image);
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break;
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case 4:
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colors = _imageToLeds->getDominantLedColorAdv(image);
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break;
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default:
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colors = _imageToLeds->getMeanLedColor(image);
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}
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@ -171,6 +174,9 @@ public:
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case 3:
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_imageToLeds->getDominantLedColor(image, ledColors);
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break;
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case 4:
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_imageToLeds->getDominantLedColorAdv(image, ledColors);
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break;
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default:
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_imageToLeds->getMeanLedColor(image, ledColors);
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}
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@ -9,12 +9,17 @@
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// hyperion-utils includes
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#include <utils/Image.h>
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#include <utils/Logger.h>
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#include <utils/ColorRgbScalar.h>
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#include <utils/ColorSys.h>
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// hyperion includes
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#include <hyperion/LedString.h>
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namespace hyperion
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{
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/// Number of clusters for k-means calculation
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const int CLUSTER_COUNT {5};
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///
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/// The ImageToLedsMap holds a mapping of indices into an image to LEDs. It can be used to
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/// calculate the average (aka mean) or dominant color per LED for a given region.
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@ -220,6 +225,48 @@ namespace hyperion
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}
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}
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///
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/// Determines the dominant color using a k-means algorithm for each LED using the LED area mapping given
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/// at construction.
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///
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/// @param[in] image The image from which to extract the LED color
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///
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/// @return The vector containing the output
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///
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template <typename Pixel_T>
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std::vector<ColorRgb> getDominantLedColorAdv(const Image<Pixel_T> & image) const
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{
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std::vector<ColorRgb> colors(_colorsMap.size(), ColorRgb{0,0,0});
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getDominantLedColorAdv(image, colors);
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return colors;
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}
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///
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/// Determines the dominant color using a k-means algorithm for each LED using the LED area mapping given
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/// at construction.
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///
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/// @param[in] image The image from which to extract the LED colors
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/// @param[out] ledColors The vector containing the output
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///
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template <typename Pixel_T>
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void getDominantLedColorAdv(const Image<Pixel_T> & image, std::vector<ColorRgb> & ledColors) const
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{
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// Sanity check for the number of LEDs
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if(_colorsMap.size() != ledColors.size())
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{
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Debug(Logger::getInstance("HYPERION"), "ImageToLedsMap: colorsMap.size != ledColors.size -> %d != %d", _colorsMap.size(), ledColors.size());
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return;
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}
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// Iterate each led and compute the dominant color
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auto led = ledColors.begin();
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for (auto colors = _colorsMap.begin(); colors != _colorsMap.end(); ++colors, ++led)
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{
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const ColorRgb color = calculateDominantColorAdv(image, *colors);
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*led = color;
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}
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}
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private:
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/// The width of the indexed image
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const int _width;
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@ -446,6 +493,140 @@ namespace hyperion
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return calculateDominantColor(image, pixels);
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}
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template <typename Pixel_T>
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struct ColorCluster {
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ColorCluster():count(0) {}
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Pixel_T color;
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Pixel_T newColor;
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int count;
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};
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///
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/// Calculates the 'dominant color' of an image area defined by a list of pixel indices
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/// using a k-means algorithm (https://robocraft.ru/computervision/1063)
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///
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/// @param[in] image The image for which a dominant color is to be computed
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/// @param[in] pixels The list of pixel indices for the given image to be evaluated
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///
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/// @return The image area's dominant color or black, if no pixel indices provided
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///
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template <typename Pixel_T>
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ColorRgb calculateDominantColorAdv(const Image<Pixel_T> & image, const std::vector<int> & pixels) const
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{
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ColorRgb dominantColor {ColorRgb::BLACK};
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const auto pixelNum = pixels.size();
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if (pixelNum > 0)
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{
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ColorCluster<ColorRgbScalar> clusters[CLUSTER_COUNT];
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// initial cluster colors
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for(int k = 0; k < CLUSTER_COUNT; ++k)
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{
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int randomRed = rand() % static_cast<int>(256);
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int randomGreen = rand() % static_cast<int>(256);
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int randomBlue = rand() % static_cast<int>(256);
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clusters[k].newColor = ColorRgbScalar(randomRed, randomGreen, randomBlue);
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}
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// k-means
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double min_rgb_euclidean {0};
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double old_rgb_euclidean {0};
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while(1)
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{
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for(int k = 0; k < CLUSTER_COUNT; ++k)
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{
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clusters[k].count = 0;
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clusters[k].color = clusters[k].newColor;
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clusters[k].newColor.setRgb(ColorRgb::BLACK);
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}
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const auto& imgData = image.memptr();
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for (const int pixelOffset : pixels)
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{
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const auto& pixel = imgData[pixelOffset];
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min_rgb_euclidean = 255 * 255 * 255;
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int clusterIndex = -1;
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for(int k = 0; k < CLUSTER_COUNT; ++k)
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{
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double euclid = ColorSys::rgb_euclidean(ColorRgbScalar(pixel), clusters[k].color);
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if( euclid < min_rgb_euclidean ) {
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min_rgb_euclidean = euclid;
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clusterIndex = k;
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}
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}
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clusters[clusterIndex].count++;
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clusters[clusterIndex].newColor += ColorRgbScalar(pixel);
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}
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min_rgb_euclidean = 0;
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for(int k = 0; k < CLUSTER_COUNT; ++k)
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{
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if (clusters[k].count > 0)
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{
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// new color
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clusters[k].newColor /= clusters[k].count;
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double ecli = ColorSys::rgb_euclidean(clusters[k].newColor, clusters[k].color);
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if(ecli > min_rgb_euclidean)
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{
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min_rgb_euclidean = ecli;
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}
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}
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}
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if( fabs(min_rgb_euclidean - old_rgb_euclidean) < 1)
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{
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break;
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}
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old_rgb_euclidean = min_rgb_euclidean;
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}
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int colorsFoundMax = 0;
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int dominantClusterIdx {0};
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for(int clusterIdx=0; clusterIdx < CLUSTER_COUNT; ++clusterIdx){
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int colorsFoundinCluster = clusters[clusterIdx].count;
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if (colorsFoundinCluster > colorsFoundMax) {
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colorsFoundMax = colorsFoundinCluster;
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dominantClusterIdx = clusterIdx;
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}
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}
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dominantColor.red = static_cast<uint8_t>(clusters[dominantClusterIdx].newColor.red);
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dominantColor.green = static_cast<uint8_t>(clusters[dominantClusterIdx].newColor.green);
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dominantColor.blue = static_cast<uint8_t>(clusters[dominantClusterIdx].newColor.blue);
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}
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return dominantColor;
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}
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///
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/// Calculates the 'dominant color' of an image area defined by a list of pixel indices
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/// using a k-means algorithm (https://robocraft.ru/computervision/1063)
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///
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/// @param[in] image The image for which a dominant color is to be computed
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///
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/// @return The image's dominant color
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///
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template <typename Pixel_T>
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ColorRgb calculateDominantColorAdv(const Image<Pixel_T> & image) const
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{
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const unsigned pixelNum = image.width() * image.height();
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std::vector<int> pixels(pixelNum);
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std::iota(pixels.begin(), pixels.end(), 0);
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return calculateDominantColorAdv(image, pixels);
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}
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};
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} // end namespace hyperion
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203
include/utils/ColorRgbScalar.h
Normal file
203
include/utils/ColorRgbScalar.h
Normal file
@ -0,0 +1,203 @@
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#ifndef COLORRGBSCALAR_H
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#define COLORRGBSCALAR_H
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// STL includes
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#include <cstdint>
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#include <iostream>
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#include <QString>
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#include <QTextStream>
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#include <QRgb>
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#include <utils/ColorRgb.h>
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///
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/// Plain-Old-Data structure containing the red-green-blue color specification. Size of the
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/// structure is exactly 3 times int for easy writing to led-device
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///
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struct ColorRgbScalar
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{
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/// The red color channel
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int red;
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/// The green color channel
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int green;
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/// The blue color channel
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int blue;
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/// 'Black' RgbColor (0, 0, 0)
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static const ColorRgbScalar BLACK;
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/// 'Red' RgbColor (255, 0, 0)
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static const ColorRgbScalar RED;
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/// 'Green' RgbColor (0, 255, 0)
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static const ColorRgbScalar GREEN;
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/// 'Blue' RgbColor (0, 0, 255)
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static const ColorRgbScalar BLUE;
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/// 'Yellow' RgbColor (255, 255, 0)
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static const ColorRgbScalar YELLOW;
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/// 'White' RgbColor (255, 255, 255)
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static const ColorRgbScalar WHITE;
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ColorRgbScalar() = default;
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ColorRgbScalar(int _red, int _green,int _blue):
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red(_red),
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green(_green),
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blue(_blue)
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{
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}
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ColorRgbScalar(ColorRgb rgb):
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red(rgb.red),
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green(rgb.green),
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blue(rgb.blue)
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{
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}
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ColorRgbScalar operator-(const ColorRgbScalar& b) const
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{
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ColorRgbScalar a(*this);
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a.red -= b.red;
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a.green -= b.green;
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a.blue -= b.blue;
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return a;
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}
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void setRgb(QRgb rgb)
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{
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red = qRed(rgb);
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green = qGreen(rgb);
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blue = qBlue(rgb);
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}
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void setRgb(ColorRgb rgb)
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{
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red = rgb.red;
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green = rgb.green;
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blue = rgb.blue;
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}
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QString toQString() const
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{
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return QString("(%1,%2,%3)").arg(red).arg(green).arg(blue);
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}
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};
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/// Assert to ensure that the size of the structure is 'only' 3 times int
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static_assert(sizeof(ColorRgbScalar) == 3 * sizeof(int), "Incorrect size of ColorRgbInt");
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///
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/// Stream operator to write ColorRgbInt to an outputstream (format "'{'[red]','[green]','[blue]'}'")
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///
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/// @param os The output stream
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/// @param color The color to write
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/// @return The output stream (with the color written to it)
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///
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inline std::ostream& operator<<(std::ostream& os, const ColorRgbScalar& color)
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{
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os << "{"
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<< static_cast<unsigned>(color.red) << ","
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<< static_cast<unsigned>(color.green) << ","
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<< static_cast<unsigned>(color.blue)
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<< "}";
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return os;
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}
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///
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/// Stream operator to write ColorRgbInt to a QTextStream (format "'{'[red]','[green]','[blue]'}'")
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///
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/// @param os The output stream
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/// @param color The color to write
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/// @return The output stream (with the color written to it)
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///
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inline QTextStream& operator<<(QTextStream &os, const ColorRgbScalar& color)
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{
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os << "{"
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<< static_cast<unsigned>(color.red) << ","
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<< static_cast<unsigned>(color.green) << ","
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<< static_cast<unsigned>(color.blue)
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<< "}";
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return os;
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}
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/// Compare operator to check if a color is 'equal' to another color
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inline bool operator==(const ColorRgbScalar & lhs, const ColorRgbScalar & rhs)
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{
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return lhs.red == rhs.red &&
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lhs.green == rhs.green &&
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lhs.blue == rhs.blue;
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}
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/// Compare operator to check if a color is 'smaller' than another color
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inline bool operator<(const ColorRgbScalar & lhs, const ColorRgbScalar & rhs)
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{
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return lhs.red < rhs.red &&
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lhs.green < rhs.green &&
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lhs.blue < rhs.blue;
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}
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/// Compare operator to check if a color is 'not equal' to another color
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inline bool operator!=(const ColorRgbScalar & lhs, const ColorRgbScalar & rhs)
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{
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return !(lhs == rhs);
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}
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/// Compare operator to check if a color is 'smaller' than or 'equal' to another color
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inline bool operator<=(const ColorRgbScalar & lhs, const ColorRgbScalar & rhs)
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{
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return lhs.red <= rhs.red &&
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lhs.green <= rhs.green &&
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lhs.blue <= rhs.blue;
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}
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/// Compare operator to check if a color is 'greater' to another color
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inline bool operator>(const ColorRgbScalar & lhs, const ColorRgbScalar & rhs)
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{
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return lhs.red > rhs.red &&
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lhs.green > rhs.green &&
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lhs.blue > rhs.blue;
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}
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/// Compare operator to check if a color is 'greater' than or 'equal' to another color
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inline bool operator>=(const ColorRgbScalar & lhs, const ColorRgbScalar & rhs)
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{
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return lhs.red >= rhs.red &&
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lhs.green >= rhs.green &&
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lhs.blue >= rhs.blue;
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}
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inline ColorRgbScalar& operator+=(ColorRgbScalar& lhs, const ColorRgbScalar& rhs)
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{
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lhs.red += rhs.red;
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lhs.green += rhs.green;
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lhs.blue += rhs.blue;
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return lhs;
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}
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inline ColorRgbScalar operator+(ColorRgbScalar lhs, const ColorRgbScalar rhs)
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{
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lhs += rhs;
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return lhs;
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}
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inline ColorRgbScalar& operator/=(ColorRgbScalar& lhs, int count)
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{
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if (count > 0)
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{
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lhs.red /= count;
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lhs.green /= count;
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lhs.blue /= count;
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}
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return lhs;
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}
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inline ColorRgbScalar operator/(ColorRgbScalar lhs, int count)
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{
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lhs /= count;
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return lhs;
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}
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#endif // COLORRGBSCALAR_H
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@ -30,11 +30,11 @@ struct ColorRgba
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static const ColorRgba WHITE;
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};
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/// Assert to ensure that the size of the structure is 'only' 3 bytes
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/// Assert to ensure that the size of the structure is 'only' 4 bytes
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static_assert(sizeof(ColorRgba) == 4, "Incorrect size of ColorARGB");
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///
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/// Stream operator to write ColorRgb to an outputstream (format "'{'[alpha]', '[red]','[green]','[blue]'}'")
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/// Stream operator to write ColorRgba to an outputstream (format "'{'[alpha]', '[red]','[green]','[blue]'}'")
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///
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/// @param os The output stream
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/// @param color The color to write
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@ -105,6 +105,19 @@ public:
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/// @note See https://bottosson.github.io/posts/colorpicker/#okhsv
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///
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static void okhsv2rgb(double hue, double saturation, double value, uint8_t & red, uint8_t & green, uint8_t & blue);
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template <typename Pixel_T>
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static double rgb_euclidean(Pixel_T p1, Pixel_T p2)
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{
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double val = sqrt(
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(p1.red - p2.red) * (p1.red - p2.red) +
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(p1.green - p2.green) * (p1.green - p2.green) +
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(p1.blue - p2.blue) * (p1.blue - p2.blue)
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);
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return val;
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}
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};
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#endif // COLORSYS_H
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@ -26,6 +26,10 @@ int ImageProcessor::mappingTypeToInt(const QString& mappingType)
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||||
{
|
||||
return 3;
|
||||
}
|
||||
else if (mappingType == "dominant_color_advanced" )
|
||||
{
|
||||
return 4;
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
// global transform method
|
||||
@ -42,6 +46,9 @@ QString ImageProcessor::mappingTypeToStr(int mappingType)
|
||||
case 3:
|
||||
typeText = "dominant_color";
|
||||
break;
|
||||
case 4:
|
||||
typeText = "dominant_color_advanced";
|
||||
break;
|
||||
default:
|
||||
typeText = "multicolor_mean";
|
||||
break;
|
||||
|
@ -9,10 +9,10 @@
|
||||
"type" : "string",
|
||||
"required" : true,
|
||||
"title" : "edt_conf_color_imageToLedMappingType_title",
|
||||
"enum" : ["multicolor_mean", "unicolor_mean", "multicolor_mean_squared", "dominant_color"],
|
||||
"enum" : ["multicolor_mean", "unicolor_mean", "multicolor_mean_squared", "dominant_color", "dominant_color_advanced"],
|
||||
"default" : "multicolor_mean",
|
||||
"options" : {
|
||||
"enum_titles" : ["edt_conf_enum_multicolor_mean", "edt_conf_enum_unicolor_mean", "edt_conf_enum_multicolor_mean_squared", "edt_conf_enum_dominant_color"]
|
||||
"enum_titles" : ["edt_conf_enum_multicolor_mean", "edt_conf_enum_unicolor_mean", "edt_conf_enum_multicolor_mean_squared", "edt_conf_enum_dominant_color", "edt_conf_enum_dominant_color_advanced"]
|
||||
},
|
||||
"propertyOrder" : 1
|
||||
},
|
||||
|
Loading…
x
Reference in New Issue
Block a user