好的,所以我的问题与此几乎相同: Converting preview frame to bitmap
但是他的回答不好,尝试使用它并不能解决我的问题。
所以我现在要做的是将每一帧作为位图发送到一个方法来检测是否有任何面孔,但首先我需要创建一个位图,这意味着我必须使用 decodeYUV420sp 方法,它不会似乎工作不正常,我所有的图像都只是以绿色和黄色扎染的形式出现。这是我的代码:
这是来自 onPreviewFrame:
Parameters parameters = cam.getParameters();
Integer width = parameters.getPreviewSize().width;
Integer height = parameters.getPreviewSize().height;
Log.i("preview size: ", String.valueOf(width) + "x" + String.valueOf(height));
int[] mIntArray = new int[width*height];
// Decode Yuv data to integer array
decodeYUV420SP(mIntArray, data, width, height);
//Initialize the bitmap, with the replaced color
Bitmap bmp = Bitmap.createBitmap(mIntArray, width, height, Bitmap.Config.ARGB_8888);
saveImage(bmp);
这是 decodeYUV 方法:
static public void decodeYUV420SP(int[] rgba, byte[] yuv420sp, int width,
int height) {
final int frameSize = width * height;
for (int j = 0, yp = 0; j < height; j++) {
int uvp = frameSize + (j >> 1) * width, u = 0, v = 0;
for (int i = 0; i < width; i++, yp++) {
int y = (0xff & ((int) yuv420sp[yp])) - 16;
if (y < 0)
y = 0;
if ((i & 1) == 0) {
v = (0xff & yuv420sp[uvp++]) - 128;
u = (0xff & yuv420sp[uvp++]) - 128;
}
int y1192 = 1192 * y;
int r = (y1192 + 1634 * v);
int g = (y1192 - 833 * v - 400 * u);
int b = (y1192 + 2066 * u);
if (r < 0)
r = 0;
else if (r > 262143)
r = 262143;
if (g < 0)
g = 0;
else if (g > 262143)
g = 262143;
if (b < 0)
b = 0;
else if (b > 262143)
b = 262143;
// rgb[yp] = 0xff000000 | ((r << 6) & 0xff0000) | ((g >> 2) &
// 0xff00) | ((b >> 10) & 0xff);
// rgba, divide 2^10 ( >> 10)
rgba[yp] = ((r << 14) & 0xff000000) | ((g << 6) & 0xff0000)
| ((b >> 2) | 0xff00);
}
}
}
这是我调用来保存位图以查看它们的样子的方法:
private void saveImage(Bitmap bmp) {
File myDir=new File("/sdcard/saved_images");
myDir.mkdirs();
Random generator = new Random();
int n = 10000;
n = generator.nextInt(n);
String fname = "Image-"+ n +".jpg";
File file = new File (myDir, fname);
if (file.exists ()) file.delete ();
try {
FileOutputStream out = new FileOutputStream(file);
bmp.compress(Bitmap.CompressFormat.JPEG, 90, out);
out.flush();
out.close();
} catch (Exception e) {
e.printStackTrace();
}
}
这是生成的图像: https ://docs.google.com/drawings/d/1kyIvb4oHHInW_c71mjfFSVCxVopBgBWX3k1OR_nMgRA/edit