I am working on a robotics project using an Android phone as the main processor and the camera to detect movement. I got the Android binary package from OpenCV and got it co
Thanks you guys so much! And for future viewers who come to this page, you might have to tweak this knowledge to get things working. In SDK v2.4.4 I applied this in the onCameraFrame method. Recall that the method takes in an input frame from the camera. You use the input and return the frame that is to be displayed on the screen of your android device. Here's an example:
//Assume appropriate imports
private BackgroundSubtractorMOG sub = new BackgroundSubtractorMOG(3, 4, 0.8);
private Mat mGray = new Mat();
private Mat mRgb = new Mat();
private Mat mFGMask = new Mat();
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
mGray = inputFrame.gray(); //I chose the gray frame because it should require less resources to process
Imgproc.cvtColor(mGray, mRgb, Imgproc.COLOR_GRAY2RGB); //the apply function will throw the above error if you don't feed it an RGB image
sub.apply(mRgb, mFGMask, learningRate); //apply() exports a gray image by definition
return mFGMask;
}
To get across my point about the gray image that comes out of apply(), if you wanted to do a RGBA version, you might have to use a cvtcolor after the call to apply():
private Mat mRgba = new Mat();
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
Imgproc.cvtColor(mRgba, mRgb, Imgproc.COLOR_RGBA2RGB); //the apply function will throw the above error if you don't feed it an RGB image
sub.apply(mRgb, mFGMask, learningRate); //apply() exports a gray image by definition
Imgproc.cvtColor(mFGMask, mRgba, Imgproc.COLOR_GRAY2RGBA);
return mRgba;
}