我正在处理中为学校分配音乐播放器。飞利浦色相灯会产生一些相应的视觉效果。
我想使每首歌的视觉效果都独一无二。
因此，我获取了播放曲目的封面(使用LastFM API)以获得最频繁的颜色，并将其用作创建其他颜色的基础。
飞利浦色相具有另一种显示颜色的方式，即(HSB)。所以我通过Color.RGBtoHSB();
对于前。对于R = 127，G = 190，B = 208，我得到的值是H = 0.5370371，S = 0.38942307，B = 0.8156863。现在，我猜测它们是基于1进行计算的，因此我将“亮度饱和度”乘以255。将“色相”乘以65535。
(如http://developers.meethue.com/1_lightsapi.html所示)
在Philips Hue中设置这些计算值时，无论播放的是哪首歌曲，颜色始终是红色或白色。
RGB到HSB之间的转换是否出了问题？
在普遍要求下我的代码:
作为测试:
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);
如上所示的功能
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);
}
设置状态只是对菲利普斯灯泡做了简单的介绍。当我检查受影响的灯泡上的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"
}
}
最佳答案
特别感谢StackOverflow用户Gee858eeG，感谢我的错别字和Erickson的出色提示和链接。
这是将任何RGB颜色转换为Philips Hue XY值的有效功能。返回的列表仅包含两个元素，0为X，1为Y。
该代码基于以下出色注释:https://github.com/PhilipsHue/PhilipsHueSDK-iOS-OSX/commit/f41091cf671e13fe8c32fcced12604cd31cceaf3
即使这不会返回HSB值，也可以将XY值替换为更改色相上的颜色。希望它对其他人有帮助，因为Philips的API没有提及任何公式。
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;
}