add SeamlessClone function

cgo.go

@@ -8,6 +8,6 @@ package gocv
 #cgo !windows pkg-config: opencv4
 #cgo CXXFLAGS:   --std=c++11
 #cgo windows  CPPFLAGS:   -IC:/opencv/build/install/include
-#cgo windows  LDFLAGS:    -LC:/opencv/build/install/x64/mingw/lib -lopencv_core450 -lopencv_face450 -lopencv_videoio450 -lopencv_imgproc450 -lopencv_highgui450 -lopencv_imgcodecs450 -lopencv_objdetect450 -lopencv_features2d450 -lopencv_video450 -lopencv_dnn450 -lopencv_xfeatures2d450 -lopencv_plot450 -lopencv_tracking450 -lopencv_img_hash450 -lopencv_calib3d450 -lopencv_bgsegm450
+#cgo windows  LDFLAGS:    -LC:/opencv/build/install/x64/mingw/lib -lopencv_core450 -lopencv_face450 -lopencv_videoio450 -lopencv_imgproc450 -lopencv_highgui450 -lopencv_imgcodecs450 -lopencv_objdetect450 -lopencv_features2d450 -lopencv_video450 -lopencv_dnn450 -lopencv_xfeatures2d450 -lopencv_plot450 -lopencv_tracking450 -lopencv_img_hash450 -lopencv_calib3d450 -lopencv_bgsegm450 -lopencv_photo450
 */
 import "C"

photo.cpp

@@ -0,0 +1,6 @@
+#include "photo.h"
+
+void SeamlessClone(Mat src, Mat dst, Mat mask, Point p, Mat blend, int flags) {
+    cv::Point pt(p.x, p.y);
+    cv::seamlessClone(*src, *dst, *mask, pt, *blend, flags);
+}

photo.go

@@ -0,0 +1,36 @@
+package gocv
+
+/*
+#include <stdlib.h>
+#include "photo.h"
+*/
+import "C"
+import "image"
+
+//SeamlessCloneFlags seamlessClone algorithm flags
+type SeamlessCloneFlags int
+
+const (
+	// NormalClone The power of the method is fully expressed when inserting objects with complex outlines into a new background.
+	NormalClone SeamlessCloneFlags = iota
+
+	// MixedClone The classic method, color-based selection and alpha masking might be time consuming and often leaves an undesirable halo. Seamless cloning, even averaged with the original image, is not effective. Mixed seamless cloning based on a loose selection proves effective.
+	MixedClone
+
+	// MonochromeTransfer Monochrome transfer allows the user to easily replace certain features of one object by alternative features.
+	MonochromeTransfer
+)
+
+// SeamlessClone blend two image by Poisson Blending.
+//
+// For further details, please see:
+// https://docs.opencv.org/master/df/da0/group__photo__clone.html#ga2bf426e4c93a6b1f21705513dfeca49d
+//
+func SeamlessClone(src, dst, mask Mat, p image.Point, blend *Mat, flags SeamlessCloneFlags) {
+	cp := C.struct_Point{
+		x: C.int(p.X),
+		y: C.int(p.Y),
+	}
+
+	C.SeamlessClone(src.p, dst.p, mask.p, cp, blend.p, C.int(flags))
+}

photo.h

@@ -0,0 +1,18 @@
+#ifndef _OPENCV3_PHOTO_H_
+#define _OPENCV3_PHOTO_H_
+
+#ifdef __cplusplus
+#include <opencv2/opencv.hpp>
+
+extern "C" {
+#endif
+
+#include "core.h"
+
+void SeamlessClone(Mat src, Mat dst, Mat mask, Point p, Mat blend, int flags);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif //_OPENCV3_PHOTO_H

photo_string.go

@@ -0,0 +1,13 @@
+package gocv
+
+func (c SeamlessCloneFlags) String() string {
+	switch c {
+	case NormalClone:
+		return "normal-clone"
+	case MixedClone:
+		return "mixed-clone"
+	case MonochromeTransfer:
+		return "monochrome-transfer"
+	}
+	return ""
+}

photo_test.go

@@ -0,0 +1,23 @@
+package gocv
+
+import (
+	"image"
+	"testing"
+)
+
+func TestSeamlessClone(t *testing.T) {
+	src := NewMatWithSize(20, 20, MatTypeCV8UC3)
+	defer src.Close()
+	dst := NewMatWithSize(30, 30, MatTypeCV8UC3)
+	defer dst.Close()
+	blend := NewMatWithSize(dst.Rows(), dst.Cols(), dst.Type())
+	defer blend.Close()
+	mask := src.Clone()
+	defer mask.Close()
+
+	center := image.Point{dst.Cols() / 2, dst.Rows() / 2}
+	SeamlessClone(src, dst, mask, center, &blend, NormalClone)
+	if blend.Empty() || dst.Rows() != blend.Rows() || dst.Cols() != blend.Cols() {
+		t.Error("Invlalid SeamlessClone test")
+	}
+}