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k-means and image inpainting wrappers #270

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k-means and image inpainting wrappers #270

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e7dbd08
k-means wrapper for unsupervised color clustering
valillon Apr 10, 2020
4ae27c6
Image inpainting wrapper
valillon May 7, 2020
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54 changes: 54 additions & 0 deletions libs/ofxCv/include/ofxCv/Wrappers.h
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Original file line number Diff line number Diff line change
Expand Up @@ -173,6 +173,60 @@ cv::name(xMat, yMat, resultMat);\
ofxCv::autothreshold(srcDst, srcDst, invert);
}

// k-means color clustering (high computational cost, not intended for real-time operation)
template <class S, class D>
cv::Mat kmeans(const S& src, D& dst, int nClusters, int maxIterations = 10, double eps = 0.1, int attempts = 3) {
cv::Mat srcMat = toCv(src);
if (srcMat.type() != CV_8UC1 && srcMat.type() != CV_8UC3) {
ofLogError("ofxCV") << "Unsupported image type in kmeans";
return cv::Mat();
}
cv::Mat labels, centers;
cv::Mat samples(srcMat.rows * srcMat.cols, 1, CV_32F);
for(int y = 0; y < srcMat.rows; ++y)
for(int x = 0; x < srcMat.cols; ++x)
if(srcMat.channels() == 3) {
samples.at<float>(x + y * srcMat.cols, 0) = srcMat.at<cv::Vec3b>(y,x)[0];
samples.at<float>(x + y * srcMat.cols, 1) = srcMat.at<cv::Vec3b>(y,x)[1];
samples.at<float>(x + y * srcMat.cols, 2) = srcMat.at<cv::Vec3b>(y,x)[2];
} else samples.at<float>(x + y * srcMat.cols) = srcMat.at<uchar>(y,x);

double compactness = cv::kmeans(samples, nClusters, labels,
cv::TermCriteria( cv::TermCriteria::EPS+cv::TermCriteria::COUNT, maxIterations, eps),
attempts, cv::KmeansFlags::KMEANS_PP_CENTERS, centers);

cv::Mat dstMat(srcMat.size(), srcMat.type());
for(int y = 0; y < srcMat.rows; ++y)
for(int x = 0; x < srcMat.cols; ++x) {
int clusterID = labels.at<int>(x + y * srcMat.cols, 0);
if(srcMat.channels() == 3) {
dstMat.at<cv::Vec3b>(y,x)[0] = centers.at<float>(clusterID, 0);
dstMat.at<cv::Vec3b>(y,x)[1] = centers.at<float>(clusterID, 1);
dstMat.at<cv::Vec3b>(y,x)[2] = centers.at<float>(clusterID, 2);
} else dstMat.at<uchar>(y,x) = centers.at<uchar>(clusterID);
}

ofxCv::toOf(dstMat, dst);
// Returning centers as Mat. Access the class centroids by using
// centers.at<uchar>(k) for grayscale images,
// centers.at<Vec3b>(k) for 3-channel color images or
// centers.at<float>(k, channel) for a specific color component.
return centers;
}

template <class S, class M, class D>
void inpaint(const S& src, const M& mask, D& dst) {
imitate(dst, src);
cv::Mat srcMat = toCv(src), dstMat = toCv(dst);
if (srcMat.type() != CV_8UC1 && srcMat.type() != CV_8UC3) {
ofLogError("ofxCV") << "Unsupported image type at inpaint";
return;
}
cv::Mat maskMat = toCv(mask);
maskMat.convertTo(maskMat, CV_8UC1);
cv::inpaint(srcMat, maskMat, dstMat, 3, cv::INPAINT_NS);
}

// CV_RGB2GRAY, CV_HSV2RGB, etc. with [RGB, BGR, GRAY, HSV, HLS, XYZ, YCrCb, Lab, Luv]
// you can convert whole images...
template <class S, class D>
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