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我已經利用OpenCV GrabCut功能來執行圖像分割。按照以下代碼查看分段圖像時,分段是合理的/正確的。但是,在查看(試圖使用)segmrntation掩碼值時,我得到了一些非常大的數字,而不是人們期望從枚舉值cv::GrabCutClasses
中枚舉的值。OpenCV GrabCut模板
void doGrabCut(){
Vector2i imgDims = getImageDims();
//Wite image to OpenCV Mat.
const Vector4u *rgb = getRGB();
cv::Mat rgbMat(imgDims.height, imgDims.width, CV_8UC3);
for (int i = 0; i < imgDims.height; i++) {
for (int j = 0; j < imgDims.width; j++) {
int idx = i * imgDims.width + j;
rgbMat.ptr<cv::Vec3b>(i)[j][2] = rgb[idx].x;
rgbMat.ptr<cv::Vec3b>(i)[j][1] = rgb[idx].y;
rgbMat.ptr<cv::Vec3b>(i)[j][0] = rgb[idx].z;
}
}
//Do graph cut.
cv::Mat res, fgModel, bgModel;
cv::Rect bb(bb_begin.x, bb_begin.y, bb_end.x - bb_begin.x, bb_end.y - bb_begin.y);
cv::grabCut(rgbMat, res, bb, bgModel, fgModel, 10, cv::GC_INIT_WITH_RECT);
cv::compare(res, cv::GC_PR_FGD, res, cv::CMP_EQ);
//Write mask.
Vector4u *maskPtr = getMask();//uchar
for (int i = 0; i < imgDims.height; i++) {
for (int j = 0; j < imgDims.width; j++) {
cv::GrabCutClasses classification = res.at<cv::GrabCutClasses>(i, j);
int idx = i * imgDims.width + j;
std::cout << classification << std::endl;//Strange numbers here.
maskPtr[idx].x = (classification == cv::GC_PR_FGD) ? 255 : 0;//This always evaluates to 0.
}
}
cv::Mat foreground(rgbMat.size(), CV_8UC3, cv::Scalar(255, 255, 255));
rgbMat.copyTo(foreground, res);
cv::imshow("GC Output", foreground);
}
爲什麼當分割定性地正確時,人們會在枚舉之外得到數字?