我在做一名音乐演奏家来处理学校的作业。飞利浦色调灯将做出一些相应的视觉效果。我想让每首歌的视觉效果都很独特。因此,我获取了播放曲目的封面艺术(使用LastFM API),以获得最常见的颜色,并将其用作创建其他颜色的基础。飞利浦的色彩有一种不同的表现方式,即(HSB)。所以我把它转换成
Color.RGBtoHSB();
为了前夫。它给出了R= 127,G=190,B=208值H= 0.5370371,S=0.38942307,B=0.8156863。现在我猜它们是在基数1上计算的,所以我把亮度en饱和乘以255。和65535的色调。(如lightsapi.html所示)
当设置这些计算值在飞利浦色调,无论是什么歌曲播放的颜色总是重新或白色。
RGB到HSB之间的转换出了什么问题吗?
在公众的要求下,我的代码:
作为一种考验:
Color c = Colorconverter.getMostCommonColour("urltoimage");
float[] f = Colorconverter.getRGBtoHSB(c);
ArrayList<Lamp> myLamps = PhilipsHue.getInstance().getMyLamps();
State state = new State();
state.setBri((int) Math.ceil(f[2]*255));
state.setSat((int) Math.ceil(f[1]*255));
state.setHue((int) Math.ceil(f[0]*65535));
state.setOn(true);
PhilipsHue.setState(myLamps.get(1), state);以上所示的功能
public static Color getMostCommonColour(String coverArtURL) {
Color coulourHex = null;
try {
BufferedImage image = ImageIO.read(new URL(coverArtURL));
int height = image.getHeight();
int width = image.getWidth();
Map m = new HashMap();
for (int i = 0; i < width; i++) {
for (int j = 0; j < height; j++) {
int rgb = image.getRGB(i, j);
int[] rgbArr = getRGBArr(rgb);
// No grays ...
if (!isGray(rgbArr)) {
Integer counter = (Integer) m.get(rgb);
if (counter == null) {
counter = 0;
}
counter++;
m.put(rgb, counter);
}
}
}
coulourHex = getMostCommonColour(m);
System.out.println(coulourHex);
} catch (IOException e) {
e.printStackTrace();
}
return coulourHex;
}
private static Color getMostCommonColour(Map map) {
List list = new LinkedList(map.entrySet());
Collections.sort(list, new Comparator() {
public int compare(Object o1, Object o2) {
return ((Comparable) ((Map.Entry) (o1)).getValue())
.compareTo(((Map.Entry) (o2)).getValue());
}
});
Map.Entry me = (Map.Entry) list.get(list.size() - 1);
int[] rgb = getRGBArr((Integer) me.getKey());
String r = Integer.toHexString(rgb[0]);
String g = Integer.toHexString(rgb[1]);
String b = Integer.toHexString(rgb[2]);
Color c = new Color(rgb[0], rgb[1], rgb[2]);
return c;
}
private static int[] getRGBArr(int pixel) {
int alpha = (pixel >> 24) & 0xff;
int red = (pixel >> 16) & 0xff;
int green = (pixel >> 8) & 0xff;
int blue = (pixel) & 0xff;
return new int[] { red, green, blue };
}
private static boolean isGray(int[] rgbArr) {
int rgDiff = rgbArr[0] - rgbArr[1];
int rbDiff = rgbArr[0] - rgbArr[2];
// Filter out black, white and grays...... (tolerance within 10 pixels)
int tolerance = 10;
if (rgDiff > tolerance || rgDiff < -tolerance)
if (rbDiff > tolerance || rbDiff < -tolerance) {
return false;
}
return true;
}
public static float[] getRGBtoHSB(Color c) {
float[] hsv = new float[3];
return Color.RGBtoHSB(c.getRed(), c.getGreen(), c.getBlue(), hsv);
}这个国家只是简单的把飞利浦的灯泡。当我检查受影响灯泡上的JSON时
{
"state": {
"on": true,
"bri": 81,
"hue": 34277,
"sat": 18,
"xy": [
0.298,
0.2471
],
"ct": 153,
"alert": "none",
"effect": "none",
"colormode": "hs",
"reachable": true
},
"type": "Extended color light",
"name": "Hue Spot 1",
"modelid": "LCT003",
"swversion": "66010732",
"pointsymbol": {
"1": "none",
"2": "none",
"3": "none",
"4": "none",
"5": "none",
"6": "none",
"7": "none",
"8": "none"
}
}发布于 2014-03-26 01:28:12
特别感谢StackOverflow用户,Gee858eeG,注意到我的打字机和埃里克森的伟大提示和链接。
这是一个工作函数,可以将任何RGB颜色转换为Philips Hue XY值。返回的列表仅包含两个元素0,即X,1是Y。代码基于以下精彩注释:https://github.com/PhilipsHue/PhilipsHueSDK-iOS-OSX/commit/f41091cf671e13fe8c32fcced12604cd31cceaf3
因为飞利浦的API没有提到任何公式,所以XY值可以用来代替Hue.Hopefully上的颜色变化,这对其他人很有帮助。
public static List<Double> getRGBtoXY(Color c) {
// For the hue bulb the corners of the triangle are:
// -Red: 0.675, 0.322
// -Green: 0.4091, 0.518
// -Blue: 0.167, 0.04
double[] normalizedToOne = new double[3];
float cred, cgreen, cblue;
cred = c.getRed();
cgreen = c.getGreen();
cblue = c.getBlue();
normalizedToOne[0] = (cred / 255);
normalizedToOne[1] = (cgreen / 255);
normalizedToOne[2] = (cblue / 255);
float red, green, blue;
// Make red more vivid
if (normalizedToOne[0] > 0.04045) {
red = (float) Math.pow(
(normalizedToOne[0] + 0.055) / (1.0 + 0.055), 2.4);
} else {
red = (float) (normalizedToOne[0] / 12.92);
}
// Make green more vivid
if (normalizedToOne[1] > 0.04045) {
green = (float) Math.pow((normalizedToOne[1] + 0.055)
/ (1.0 + 0.055), 2.4);
} else {
green = (float) (normalizedToOne[1] / 12.92);
}
// Make blue more vivid
if (normalizedToOne[2] > 0.04045) {
blue = (float) Math.pow((normalizedToOne[2] + 0.055)
/ (1.0 + 0.055), 2.4);
} else {
blue = (float) (normalizedToOne[2] / 12.92);
}
float X = (float) (red * 0.649926 + green * 0.103455 + blue * 0.197109);
float Y = (float) (red * 0.234327 + green * 0.743075 + blue * 0.022598);
float Z = (float) (red * 0.0000000 + green * 0.053077 + blue * 1.035763);
float x = X / (X + Y + Z);
float y = Y / (X + Y + Z);
double[] xy = new double[2];
xy[0] = x;
xy[1] = y;
List<Double> xyAsList = Doubles.asList(xy);
return xyAsList;
}发布于 2014-03-21 22:31:30
我认为这里的问题是,色调的色域非常有限。
我建议将饱和度设置为最大值255,并且只改变色调。
根据文档中给出的表,hue的"hue“属性并不直接映射到HSV的色调。近似可能足够接近,但如果不是,可能值得尝试一个转换为CIE 1931彩色空间,,然后设置"xy“属性,而不是色调。
发布于 2022-03-20 22:14:09
这篇文章是我8年后搜索这篇文章时唯一的一次很好的点击。以下是Philips Meethue Developer doc转换例程的Python版本(我认为伽马设置有点不同):
def rgb2xyb(r,g,b):
r = ((r+0.055)/1.055)**2.4 if r > 0.04045 else r/12.92
g = ((g+0.055)/1.055)**2.4 if g > 0.04045 else g/12.92
b = ((b+0.055)/1.055)**2.4 if b > 0.04045 else b/12.92
X = r * 0.4124 + g * 0.3576 + b * 0.1805
Y = r * 0.2126 + g * 0.7152 + b * 0.0722
Z = r * 0.0193 + g * 0.1192 + b * 0.9505
return X / (X + Y + Z), Y / (X + Y + Z), int(Y*254)它还返回Hue桥API使用的0.254范围内的亮度信息。
https://stackoverflow.com/questions/22564187
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