I don't know what problem and how to fix it, help please!
error: (-215:Assertion failed) ngroups > 0 && inpCn % ngroups == 0 && outCn % ngroups == 0 in function 'virtual bool cv::dnn::ConvolutionLayerImpl::getMemoryShapes(const std::vector<std::vector<int> >&, int, std::vector<std::vector<int> >&, std::vector<std::vector<int> >&) const'
my code:
// Load a network.
public void onCameraViewStarted(int width, int height) {
String prototxt = getPath("deploy.prototxt", this); //获取prototxt文件路径
String caffemodel = getPath("snapshot_iter_13800.caffemodel",this); //获取caffemodel文件路径
net = Dnn.readNetFromCaffe(prototxt, caffemodel); //从Caffe中读取神经网络
if (net.empty()){ //if net不存在
Log.i(TAG, "Network loaded failure");
}
Log.i(TAG, "Network loaded successfully");
}
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
final int IN_WIDTH = 28;
final int IN_HEIGHT = 28;
final float WH_RATIO = (float)IN_WIDTH / IN_HEIGHT;
// IN_HEIGHT;
//final double IN_SCALE_FACTOR = 0.00390625;
final double IN_SCALE_FACTOR = 0.00390625;
final double IN_SCALE_FACTOR = 0.0125000001863;
// final double MEAN_VAL = 127.5;
final double THRESHOLD = 0.1;
// Get a new frame
Mat frame = (inputFrame.rgba());
Imgproc.cvtColor(frame, frame, Imgproc.COLOR_RGBA2RGB);
// Forward image through network.
// Mat blob = Dnn.blobFromImage(frame ,IN_SCALE_FACTOR, new Size(IN_WIDTH, IN_HEIGHT), new Scalar(1,3,28,28),false,true);
Mat blob = Dnn.blobFromImage(frame,1.0/234, new Size(IN_WIDTH, IN_HEIGHT), new Scalar(104,117,123),false,true);
net.setInput(blob,"data");
net.setInput(blob,"data");
Mat detections = net.forward("Softmax").reshape(1,1);
int cols = frame.cols();
int rows = frame.rows();
Size cropSize;
if ((float)cols / rows > WH_RATIO) {
cropSize = new Size(rows * WH_RATIO, rows);
} else {
cropSize = new Size(cols, cols / WH_RATIO);
}
int y1 = (int)(rows - cropSize.height) / 2;
int y2 = (int)(y1 + cropSize.height);
int x1 = (int)(cols - cropSize.width) / 2;
int x2 = (int)(x1 + cropSize.width);
Mat subFrame = frame.submat(y1, y2, x1, x2);
cols = subFrame.cols();
rows = subFrame.rows();
// detections //detections = detections.reshape(1, 1);
for (int i = 0; i < detections.rows(); ++i) {
double confidence = detections.get(i, 2)[0];
if (confidence > THRESHOLD) {
int classId = (int)detections.get(i, 1)[0];
int xLeftBottom = (int)(detections.get(i, 1)[0] * cols);
int yLeftBottom = (int)(detections.get(i, 3)[0] * rows);
int xRightTop = (int)(detections.get(i, 5)[0] * cols);
int yRightTop = (int)(detections.get(i, 7)[0] * rows);
rows);
// Draw rectangle around detected object.
Imgproc.rectangle(subFrame, new Point(xLeftBottom, yLeftBottom),
new Point(xRightTop, yRightTop),
new Scalar(0, 234, 0));
String label = classNames[classId] + ": " + confidence;
Log.i("",label);
int[] baseLine = new int[1];
Size labelSize = Imgproc.getTextSize(label, Core.FONT_HERSHEY_SIMPLEX, 0.7, 1, baseLine);
// Draw background for label.
Imgproc.rectangle(subFrame, new Point(xLeftBottom, yLeftBottom - labelSize.height),
new Point(xLeftBottom + labelSize.width, yLeftBottom + baseLine[0]),
new Scalar(208,234,246), Core.FILLED);
// Write class name and confidence.
Imgproc.putText(subFrame, label, new Point(xLeftBottom, yLeftBottom), Core.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(0, 0, 0));
}
}
return frame;
}
public void onCameraViewStopped() {}
// Upload file to storage and return a path.
private static String getPath(String file, Context context) {
AssetManager assetManager = context.getAssets();
BufferedInputStream inputStream = null;
try {
// Read data from assets.
inputStream = new BufferedInputStream(assetManager.open(file));
byte[] data = new byte[inputStream.available()];
inputStream.read(data);
inputStream.close();
// Create copy file in storage.
File outFile = new File(context.getFilesDir(), file);
FileOutputStream os = new FileOutputStream(outFile);
os.write(data);
os.close();
// Return a path to file which may be read in common way.
return outFile.getAbsolutePath();
} catch (IOException ex) {
Log.i(TAG, "Failed to upload a file");
}
return "";
}
private static final String TAG = "OpenCV/Sample/LeNet";
private static final String[] classNames = {"00000","00001","00002","00003","00004",
"00005","00006","00007","00008","00009",
"00010","00011","00012","00013","00014",
"00015","00016","00017","00018","00019",
"00020","00021","00022","00023","00024",
"00025","00026","00027","00028","00029",
"00030","00031","00032","00033","00034",
"00035","00036","00037","00038","00039",
"00040","00041","00042"};
private Net net;
private CameraBridgeViewBase mOpenCvCameraView;
