嘿,伙计们,我在这个函数上遇到了麻烦,这个函数是在照片捕获后调用的,现在我想使用图像的数据进行距离变换。并计算对象的确切数量,我知道问题在哪里,但我无法解决它,我认为问题是在Imgproc。cvtColor(m, mGray, Imgproc.COLOR_BGRA2GRAY)当我调试它的程序停止运行在这一点上,所以请回答我,如果你发现了什么;提前谢谢你
@Override
public void onPictureTaken(byte[] data, Camera camera) {
Log.i(TAG, "Divyesh Saving a bitmap to file");
// The camera preview was automatically stopped. Start it again.
mCamera.startPreview();
Log.i(TAG, "Divyesh Start preview");
mCamera.setPreviewCallback(this);
Log.i(TAG, "Divyesh Start preview callback");
// Write the image in a file (in jpeg format)
try {
FileOutputStream fos = new FileOutputStream(mPictureFileName);
Log.i(TAG, "Divyesh FOS open");
fos.write(data);
Log.i(TAG, "Divyesh FOS write");
Mat photo = new Mat();
Log.i(TAG, "Divyesh Mat photo = new Mat()");
photo.put(0, 0, data);
Log.i(TAG, "Divyesh photo.put");
m = new Mat(photo.height(), photo.width(), CvType.CV_8U,new Scalar(4));
Log.i(TAG, "Divyesh Mat value of M and height width");
//Bitmap myBitmap32 = photo.copy(Bitmap.Config.ARGB_8888, true);
//Utils.bitmapToMat(myBitmap32, m);
Imgproc.cvtColor(m, mGray, Imgproc.COLOR_BGRA2GRAY);
Log.i(TAG, "Divyesh CVTCOLOR");
Imgproc.distanceTransform(mGray, mBin, Imgproc.DIST_LABEL_PIXEL, 3);
Core.normalize(mBin, mBin, 0, 1., Core.NORM_MINMAX);
Imgproc.threshold(mBin, mBin, .5, 1., Imgproc.THRESH_BINARY);
mBin.convertTo(dist_8u, CvType.CV_8U);
hierarchy = new Mat();
temp = dist_8u;
Imgproc.findContours(dist_8u, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
fu = contours.size();
Log.i(TAG, fu + "finally got no of objects");
fos.close();
} catch (java.io.IOException e) {
Log.e("PictureDemo", "Exception in photoCallback", e);
}
}
}
和LOGCAT
03-14 11:11:39.089: D/CameraBridge(2350): mStretch value: 1.0
03-14 11:11:39.109: D/JavaCameraView(2350): Preview Frame received. Frame size: 115200
03-14 11:11:39.149: D/CameraBridge(2350): mStretch value: 1.0
03-14 11:11:39.149: I/OCVSample::Activity(2350): onTouch event
03-14 11:11:39.159: I/Sample::Tutorial3View(2350): Taking picture
03-14 11:11:39.969: I/Sample::Tutorial3View(2350): Divyesh Saving a bitmap to file
03-14 11:11:40.209: I/Sample::Tutorial3View(2350): Divyesh Start preview
03-14 11:11:40.209: I/Sample::Tutorial3View(2350): Divyesh Start preview callback
03-14 11:11:40.219: I/Sample::Tutorial3View(2350): Divyesh FOS open
03-14 11:11:40.229: I/Sample::Tutorial3View(2350): Divyesh FOS write
03-14 11:11:40.229: I/Sample::Tutorial3View(2350): Divyesh Mat photo = new Mat()
03-14 11:11:40.229: I/Sample::Tutorial3View(2350): Divyesh photo.put
03-14 11:11:40.229: I/Sample::Tutorial3View(2350): Divyesh Mat value of M and height width
03-14 11:11:40.229: D/AndroidRuntime(2350): Shutting down VM
你没有提到捕获大小,但从Frame size
日志我猜是320x240。在Android中,捕获通常不是RGBA,而是YV12;因此是size=width x height x bits_per_pixel = 320 x 240 x 1.5 = 115200
。在这种情况下,你使用错误的转换格式,你应该使用1通道输入Mat
(因为YV12被解释,错误地,平面由OpenCV),然后(这段代码是c++,但你得到的想法):
cv::Mat yv12_image(height, width, CV_8UC1, input_buffer);
cv::Mat rgb_image;
cv::cvtColor(yv12_image, rgb_image, CV_YUV2RGB_YV12);
(注意RGB和BGR)。我想我记得在cvtColor
中没有从YUV到灰色的直接转换,在这种情况下,您可以遍行输入缓冲区并通过周围的任何公式转换它,这将是缓慢的,或者运行上面的代码(翻译成Java),然后从RGB到灰色做另一个cvtColor
。