Esempio n. 1
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        //javadoc: HarrisLaplaceFeatureDetector::create(numOctaves, corn_thresh)
        public static HarrisLaplaceFeatureDetector create(int numOctaves, float corn_thresh)
        {
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
            HarrisLaplaceFeatureDetector retVal = HarrisLaplaceFeatureDetector.__fromPtr__(xfeatures2d_HarrisLaplaceFeatureDetector_create_13(numOctaves, corn_thresh));

            return(retVal);
#else
            return(null);
#endif
        }
Esempio n. 2
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        //javadoc: HarrisLaplaceFeatureDetector::create()
        public static HarrisLaplaceFeatureDetector create()
        {
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
            HarrisLaplaceFeatureDetector retVal = HarrisLaplaceFeatureDetector.__fromPtr__(xfeatures2d_HarrisLaplaceFeatureDetector_create_15());

            return(retVal);
#else
            return(null);
#endif
        }
Esempio n. 3
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 public HarrisLaplaceFeatureDetector(OpenCVForUnity.Xfeatures2dModule.HarrisLaplaceFeatureDetector nativeObj) : base(nativeObj)
 {
 }
Esempio n. 4
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 /**
  * Creates a new implementation instance.
  *
  * param numOctaves the number of octaves in the scale-space pyramid
  * param corn_thresh the threshold for the Harris cornerness measure
  * param DOG_thresh the threshold for the Difference-of-Gaussians scale selection
  * return automatically generated
  */
 public static HarrisLaplaceFeatureDetector create(int numOctaves, float corn_thresh, float DOG_thresh)
 {
     return(HarrisLaplaceFeatureDetector.__fromPtr__(xfeatures2d_HarrisLaplaceFeatureDetector_create_12(numOctaves, corn_thresh, DOG_thresh)));
 }
Esempio n. 5
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        //
        // C++: static Ptr_HarrisLaplaceFeatureDetector cv::xfeatures2d::HarrisLaplaceFeatureDetector::create(int numOctaves = 6, float corn_thresh = 0.01f, float DOG_thresh = 0.01f, int maxCorners = 5000, int num_layers = 4)
        //

        /**
         * Creates a new implementation instance.
         *
         * param numOctaves the number of octaves in the scale-space pyramid
         * param corn_thresh the threshold for the Harris cornerness measure
         * param DOG_thresh the threshold for the Difference-of-Gaussians scale selection
         * param maxCorners the maximum number of corners to consider
         * param num_layers the number of intermediate scales per octave
         * return automatically generated
         */
        public static HarrisLaplaceFeatureDetector create(int numOctaves, float corn_thresh, float DOG_thresh, int maxCorners, int num_layers)
        {
            return(HarrisLaplaceFeatureDetector.__fromPtr__(xfeatures2d_HarrisLaplaceFeatureDetector_create_10(numOctaves, corn_thresh, DOG_thresh, maxCorners, num_layers)));
        }
Esempio n. 6
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 /**
  * Creates a new implementation instance.
  *
  * return automatically generated
  */
 public static HarrisLaplaceFeatureDetector create()
 {
     return(HarrisLaplaceFeatureDetector.__fromPtr__(xfeatures2d_HarrisLaplaceFeatureDetector_create_15()));
 }
Esempio n. 7
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 /**
  * Creates a new implementation instance.
  *
  * param numOctaves the number of octaves in the scale-space pyramid
  * return automatically generated
  */
 public static HarrisLaplaceFeatureDetector create(int numOctaves)
 {
     return(HarrisLaplaceFeatureDetector.__fromPtr__(xfeatures2d_HarrisLaplaceFeatureDetector_create_14(numOctaves)));
 }