/** * Given the {code input} frame, create input blob, run net * return a vector holding the x and y coordinates of each detected keypoint * * param frame automatically generated */ public MatOfPoint2f estimate(Mat frame) { ThrowIfDisposed(); if (frame != null) { frame.ThrowIfDisposed(); } return(MatOfPoint2f.fromNativeAddr(dnn_KeypointsModel_estimate_11(nativeObj, frame.nativeObj))); }
// // C++: vector_Point2f cv::xfeatures2d::PCTSignatures::getSamplingPoints() // //javadoc: PCTSignatures::getSamplingPoints() public MatOfPoint2f getSamplingPoints() { ThrowIfDisposed(); #if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER MatOfPoint2f retVal = MatOfPoint2f.fromNativeAddr(xfeatures2d_PCTSignatures_getSamplingPoints_10(nativeObj)); return(retVal); #else return(null); #endif }
// // C++: vector_Point2f cv::xfeatures2d::PCTSignatures::getSamplingPoints() // /** * Initial samples taken from the image. * These sampled features become the input for clustering. * return automatically generated */ public MatOfPoint2f getSamplingPoints() { ThrowIfDisposed(); return(MatOfPoint2f.fromNativeAddr(xfeatures2d_PCTSignatures_getSamplingPoints_10(nativeObj))); }