Beispiel #1
0
        void ReadFrom(Stream s)
        {
            using (var br = new BinaryReader(s))
            {
                // Hashes
                var hashCount = br.ReadInt32();
                m_HashToFileMap = new Dictionary <Hash128, string>();
                for (var i = 0; i < hashCount; ++i)
                {
                    var hash  = Hash128.Parse(br.ReadString());
                    var value = br.ReadString();

                    m_HashToFileMap[hash] = value;
                }

                // Images data
                var imageDataCount = br.ReadInt32();
                imagesData         = new List <ImageData>(imageDataCount);
                m_AssetPathToIndex = new Dictionary <string, int>();
                for (var i = 0; i < imageDataCount; ++i)
                {
                    var guid      = Hash128.Parse(br.ReadString());
                    var imageData = new ImageData(guid);

                    var nbColor = br.ReadInt32();
                    imageData.bestColors = new ColorInfo[nbColor];
                    for (var j = 0; j < nbColor; ++j)
                    {
                        var colorInfo = new ColorInfo();
                        colorInfo.color         = br.ReadUInt32();
                        colorInfo.ratio         = br.ReadDouble();
                        imageData.bestColors[j] = colorInfo;
                    }

                    var nbShades = br.ReadInt32();
                    imageData.bestShades = new ColorInfo[nbShades];
                    for (var j = 0; j < nbShades; ++j)
                    {
                        var colorInfo = new ColorInfo();
                        colorInfo.color         = br.ReadUInt32();
                        colorInfo.ratio         = br.ReadDouble();
                        imageData.bestShades[j] = colorInfo;
                    }

                    ReadHistogram(imageData.histogram.valuesR, br);
                    ReadHistogram(imageData.histogram.valuesG, br);
                    ReadHistogram(imageData.histogram.valuesB, br);
                    imagesData.Add(imageData);

                    var assetPath = m_HashToFileMap[guid];
                    m_AssetPathToIndex.Add(assetPath, i);
                }
            }
        }
Beispiel #2
0
        public static void ComputeBestColorsAndHistogram(Color32[] pixels, ColorInfo[] bestColors, ColorInfo[] bestShades, Histogram histogram)
        {
            var nbPixels    = pixels.Length;
            var colorMap    = new Dictionary <uint, long>();
            var rgbClusters = new RGBClusters();

            foreach (var pixel in pixels)
            {
                var pixelValue = ColorToInt(pixel);
                histogram.AddPixel(pixel);
                if (!colorMap.ContainsKey(pixelValue))
                {
                    colorMap.Add(pixelValue, 0);
                }
                ++colorMap[pixelValue];
                rgbClusters.AddColor(pixel);
            }
            histogram.Normalize(nbPixels);

            // Get the best colors
            var orderedColors = colorMap.ToList();

            // Order in reverse order so highest count is first
            orderedColors.Sort((pair1, pair2) => pair2.Value.CompareTo(pair1.Value));
            var bestOrderedColors = orderedColors.Take(5).ToList();
            var bestClusters      = rgbClusters.GetBestClusters(5).ToList();

            for (var i = bestOrderedColors.Count; i < 5; ++i)
            {
                bestOrderedColors.Add(new KeyValuePair <uint, long>(0, 0));
            }

            for (var i = 0; i < 5; ++i)
            {
                bestColors[i] = new ColorInfo {
                    color = bestOrderedColors[i].Key, ratio = bestOrderedColors[i].Value / (double)nbPixels
                };
                bestShades[i] = new ColorInfo {
                    color = ColorToInt(bestClusters[i].average), ratio = bestClusters[i].count / (double)nbPixels
                };
            }
        }