您知道,我们可以从Android Camera2 API(ImageReader.OnImageAvailableListener)获取图像,图像格式为YUV_420_888,我需要将格式转换为YUV422(UYVY)。
有关相机图像的信息。
从3个平面获取数据
pixelStride 1
rowStride 720
width 720
height 480
buffer size 345600
从平面0读取数据完成
pixelStride 2
rowStride 720
width 720
height 480
buffer size 172799
从平面1读取数据完成
pixelStride 2
rowStride 720
width 720
height 480
buffer size 172799
从平面2读取数据完成
我的转换函数如下,
private static byte[] getDataFromImage(Image image, int colorFormat) {
if (colorFormat != COLOR_FormatI420 && colorFormat != COLOR_FormatNV21 && colorFormat != COLOR_FormatYUYV422_UYVY) {
throw new IllegalArgumentException("only support COLOR_FormatI420 " + "and COLOR_FormatNV21" + "and COLOR_FormatYUYV422_UYVY");
}
if (!isImageFormatSupported(image)) {
throw new RuntimeException("can't convert Image to byte array, format " + image.getFormat());
}
Rect crop = image.getCropRect();
int format = image.getFormat();
int width = crop.width();
int height = crop.height();
Image.Plane[] planes = image.getPlanes();
byte[] data = new byte[width * height * 2];
byte[] rowData = new byte[planes[0].getRowStride()];
Log.e(TAG, "get data from " + planes.length + " planes" + "format is " + format);
int channelOffset = 0;
int outputStride = 1;
for (int i = 0; i < planes.length; i++) {
switch (i) {
case 0:
if(false) {
channelOffset = 0;
outputStride = 1;
} else { //for YUV422 UYVY
channelOffset = 1;
outputStride = 2;
}
break;
case 1:
if (colorFormat == COLOR_FormatI420) {
channelOffset = width * height;
outputStride = 1;
} else if (colorFormat == COLOR_FormatNV21) {
channelOffset = width * height + 1;
outputStride = 2;
} else { //for YUV422 UYVY
channelOffset = 0;
outputStride = 4;
}
break;
case 2:
if (colorFormat == COLOR_FormatI420) {
channelOffset = (int) (width * height * 1.25);
outputStride = 1;
} else if (colorFormat == COLOR_FormatNV21) {
channelOffset = width * height;
outputStride = 2;
} else { //for YUV422 UYVY
channelOffset = 2;
outputStride = 4;
}
break;
}
ByteBuffer buffer = planes[i].getBuffer();
int rowStride = planes[i].getRowStride();
int pixelStride = planes[i].getPixelStride();
Log.e(TAG, "pixelStride " + pixelStride);
Log.e(TAG, "rowStride " + rowStride);
Log.e(TAG, "width " + width);
Log.e(TAG, "height " + height);
Log.e(TAG, "buffer size " + buffer.remaining());
int shift = (i == 0) ? 0 : 1;
int w = width; // >> shift;
int h = height;// >> shift;
buffer.position(rowStride * (crop.top >> shift) + pixelStride * (crop.left >> shift));
Log.e(TAG, "buffer position " + buffer.position());
for (int row = 0; row < h; row++) {
int length;
if (pixelStride == 1 && outputStride == 1) {
length = w;
buffer.get(data, channelOffset, length);
channelOffset += length;
} else {
if (i == 0) {
length = w;
buffer.get(rowData, 0, length);
} else {
if(row == h - 2) {
length = w - 1;
} else {
length = w;
}
if( row % 2 == 0) {
// Log.e(TAG, "row is " + row + "length " + length);
buffer.get(rowData, 0, length);
}
}
if(colorFormat != COLOR_FormatYUYV422_UYVY) {
for (int col = 0; col < w; col++) {
data[channelOffset] = rowData[col * pixelStride];
channelOffset += outputStride;
}
} else {
if(i == 0) {
for (int col = 0; col < w; col++) {
data[channelOffset] = rowData[col * pixelStride];
channelOffset += outputStride;
}
} else {
for (int col = 0; col < w-1;) {
data[channelOffset] = rowData[col];
col = col + 2;
channelOffset += outputStride;
}
}
}
}
// if (row < h - 1) {
// buffer.position(buffer.position() + rowStride - length);
// }
}
Log.e(TAG, "Finished reading data from plane " + i);
}
Log.e(TAG, "data length is " + data.length);
return data;
}
当我将第二个参数colorFormat设置为COLOR_FormatYUYV422_UYVY时, 函数getDataFromImage是将YUV420_888转换为YUV422_UYVY的响应。 但是,图像的颜色不正确。 谁可以查看用于转换的功能getDataFromImage(YUV420_888-> YUV422(UYVY))?