First attempt for adding threshold.

gocv/gocv.swigcxx

@@ -2,3 +2,4 @@
 
 %include "gocv_core.i"
 %include "gocv_calib3d.i"
+%include "gocv_imgproc.i"

gocv/gocv_calib3d.go

@@ -24,11 +24,11 @@ func GcvInitCameraMatrix2D(objPts, imgPts *mat64.Dense, dims [2]int,
 	imgPtsVec := NewGcvPoint2f32Vector(int64(nObjPts))
 
 	for j := 0; j < nObjPts; j++ {
-		objPtsVec.Set(j, NewGcvPoint3f32(mat64.Col(nil, j, objPts)...))
+		objPtsVec.Set(j, NewGcvPoint3f32(objPts.Col(nil, j)...))
 	}
 
 	for j := 0; j < nObjPts; j++ {
-		imgPtsVec.Set(j, NewGcvPoint2f32(mat64.Col(nil, j, imgPts)...))
+		imgPtsVec.Set(j, NewGcvPoint2f32(imgPts.Col(nil, j)...))
 	}
 
 	_imgSize := NewGcvSize2i(dims[0], dims[1])
@@ -52,11 +52,11 @@ func GcvCalibrateCamera(objPts, imgPts, camMat, distCoeffs *mat64.Dense,
 	imgPtsVec := NewGcvPoint2f32Vector(int64(nObjPts))
 
 	for j := 0; j < nObjPts; j++ {
-		objPtsVec.Set(j, NewGcvPoint3f32(mat64.Col(nil, j, objPts)...))
+		objPtsVec.Set(j, NewGcvPoint3f32(objPts.Col(nil, j)...))
 	}
 
 	for j := 0; j < nObjPts; j++ {
-		imgPtsVec.Set(j, NewGcvPoint2f32(mat64.Col(nil, j, imgPts)...))
+		imgPtsVec.Set(j, NewGcvPoint2f32(imgPts.Col(nil, j)...))
 	}
 
 	_camMat := Mat64ToGcvMat(camMat)

gocv/gocv_calib3d_test.go

@@ -24,7 +24,7 @@ func TestGcvInitCameraMatrix2D(t *testing.T) {
 		-0.226950, 0.942377, -0.899869,
 		-1.148912, 0.093725, 0.634745,
 	})
-	objPts.Clone(objPts.T())
+	objPts.TCopy(objPts)
 
 	imgPts := mat64.NewDense(10, 2, []float64{
 		-0.384281, -0.299055,
@@ -38,15 +38,15 @@ func TestGcvInitCameraMatrix2D(t *testing.T) {
 		0.631444, -0.340257,
 		-0.647580, 0.502113,
 	})
-	imgPts.Clone(imgPts.T())
+	imgPts.TCopy(imgPts)
 
 	camMat := GcvInitCameraMatrix2D(objPts, imgPts, [2]int{1920, 1080}, 1)
 	assert.InDeltaSlice(t, []float64{1.47219772e+03, 0.00000000e+00, 9.59500000e+02},
-		mat64.Row(nil, 0, camMat), DELTA)
+		camMat.Row(nil, 0), DELTA)
 	assert.InDeltaSlice(t, []float64{0.00000000e+00, 1.47219772e+03, 5.39500000e+02},
-		mat64.Row(nil, 1, camMat), DELTA)
+		camMat.Row(nil, 1), DELTA)
 	assert.InDeltaSlice(t, []float64{0.00000000e+00, 0.00000000e+00, 1.00000000e+00},
-		mat64.Row(nil, 2, camMat), DELTA)
+		camMat.Row(nil, 2), DELTA)
 }
 
 func TestGcvCalibrateCamera(t *testing.T) {
@@ -62,7 +62,7 @@ func TestGcvCalibrateCamera(t *testing.T) {
 		-0.226950, 0.942377, -0.899869,
 		-1.148912, 0.093725, 0.634745,
 	})
-	objPts.Clone(objPts.T())
+	objPts.TCopy(objPts)
 
 	imgPts := mat64.NewDense(10, 2, []float64{
 		-0.384281, -0.299055,
@@ -76,7 +76,7 @@ func TestGcvCalibrateCamera(t *testing.T) {
 		0.631444, -0.340257,
 		-0.647580, 0.502113,
 	})
-	imgPts.Clone(imgPts.T())
+	imgPts.TCopy(imgPts)
 
 	camMat := GcvInitCameraMatrix2D(objPts, imgPts, [2]int{1920, 1080}, 1)
 
@@ -85,12 +85,12 @@ func TestGcvCalibrateCamera(t *testing.T) {
 	camMat, rvec, tvec := GcvCalibrateCamera(
 		objPts, imgPts, camMat, distCoeffs, [2]int{1920, 1080}, 14575)
 
-	assert.InDeltaSlice(t, []float64{-46.15296606, 0., 959.5}, mat64.Row(nil, 0, camMat), DELTA)
+	assert.InDeltaSlice(t, []float64{-46.15296606, 0., 959.5}, camMat.Row(nil, 0), DELTA)
-	assert.InDeltaSlice(t, []float64{0., -46.15296606, 539.5}, mat64.Row(nil, 1, camMat), DELTA)
+	assert.InDeltaSlice(t, []float64{0., -46.15296606, 539.5}, camMat.Row(nil, 1), DELTA)
-	assert.InDeltaSlice(t, []float64{0., 0., 1.}, mat64.Row(nil, 2, camMat), DELTA)
+	assert.InDeltaSlice(t, []float64{0., 0., 1.}, camMat.Row(nil, 2), DELTA)
 
-	assert.InDeltaSlice(t, []float64{-0.98405029, -0.93443411, -0.26304667}, mat64.Col(nil, 0, rvec), DELTA)
+	assert.InDeltaSlice(t, []float64{-0.98405029, -0.93443411, -0.26304667}, rvec.Col(nil, 0), DELTA)
-	assert.InDeltaSlice(t, []float64{0.6804739, 0.47530207, -0.04833094}, mat64.Col(nil, 0, tvec), DELTA)
+	assert.InDeltaSlice(t, []float64{0.6804739, 0.47530207, -0.04833094}, tvec.Col(nil, 0), DELTA)
 }
 
 func TestGcvRodrigues(t *testing.T) {
@@ -101,7 +101,7 @@ func TestGcvRodrigues(t *testing.T) {
 	})
 	rmat := GcvRodrigues(rvec)
 
-	assert.InDeltaSlice(t, []float64{0.59922526, 0.57799222, -0.55394411}, mat64.Row(nil, 0, rmat), DELTA)
+	assert.InDeltaSlice(t, []float64{0.59922526, 0.57799222, -0.55394411}, rmat.Row(nil, 0), DELTA)
-	assert.InDeltaSlice(t, []float64{0.20413818, 0.558743, 0.80382452}, mat64.Row(nil, 1, rmat), DELTA)
+	assert.InDeltaSlice(t, []float64{0.20413818, 0.558743, 0.80382452}, rmat.Row(nil, 1), DELTA)
-	assert.InDeltaSlice(t, []float64{0.77411672, -0.5947531, 0.21682264}, mat64.Row(nil, 2, rmat), DELTA)
+	assert.InDeltaSlice(t, []float64{0.77411672, -0.5947531, 0.21682264}, rmat.Row(nil, 2), DELTA)
 }

gocv/gocv_imgproc.cpp

@@ -0,0 +1,16 @@
+#include <opencv2/opencv.hpp>
+#include <opencv2/core/core.hpp>
+#include <iostream>
+
+#include "gocv_imgproc.hpp"
+
+double GcvThreshold_(cv::Mat src, cv::Mat& dst, double thresh, double maxval, int type) {
+        std::cout << "src " << std::endl << src << std::endl;
+        std::cout << "thresh " << std::endl << thresh << std::endl;
+        std::cout << "maxval " << std::endl << maxval << std::endl;
+        std::cout << "type " << std::endl << type << std::endl;
+
+        double rtn;
+        rtn = cv::threshold(src, src, 1.0, 3.0, 0);
+        return rtn;
+}

gocv/gocv_imgproc.go

@@ -0,0 +1,17 @@
+package gocv
+
+// #cgo CXXFLAGS: -std=c++11
+// #cgo darwin pkg-config: opencv
+// #cgo linux  pkg-config: opencv
+import "C"
+import "github.com/gonum/matrix/mat64"
+
+// GcvThreshold takes a 3D column vector, and apply cv::Threshold to it.
+func GcvThreshold(src *mat64.Dense) (dst *mat64.Dense, rtn float64) {
+	gcvSrc := Mat64ToGcvMat(src)
+	gcvDst := NewGcvMat()
+	rtn = GcvThreshold_(gcvSrc, gcvDst, 1.0, 2.0, 0)
+	dst = GcvMatToMat64(gcvDst)
+
+	return dst, rtn
+}

gocv/gocv_imgproc.hpp

@@ -0,0 +1,3 @@
+#include <opencv2/opencv.hpp>
+
+double GcvThreshold_(cv::Mat src, cv::Mat& dst, double thresh, double maxval, int type);

gocv/gocv_imgproc.i

@@ -0,0 +1,5 @@
+%{
+#include "gocv_imgproc.hpp"
+%}
+
+%include "gocv_imgproc.hpp"

gocv/gocv_imgproc_test.go

@@ -0,0 +1,24 @@
+package gocv
+
+import (
+	"testing"
+
+	"github.com/gonum/matrix/mat64"
+	"github.com/stretchr/testify/assert"
+)
+
+func TestGcvThreshold(t *testing.T) {
+	rvec := mat64.NewDense(3, 1, []float64{
+		3,
+		-0.3,
+		0.2,
+	})
+	rmat, _ := GcvThreshold(rvec)
+
+	assert.InDeltaSlice(t, []float64{0.59922526, 0.57799222, -0.55394411},
+		rmat.Row(nil, 0), 1e-5)
+	assert.InDeltaSlice(t, []float64{0.20413818, 0.558743, 0.80382452},
+		rmat.Row(nil, 1), 1e-5)
+	assert.InDeltaSlice(t, []float64{0.77411672, -0.5947531, 0.21682264},
+		rmat.Row(nil, 2), 1e-5)
+}

opencv/cv.go

@@ -23,11 +23,7 @@ const (
 	CV_BGR2BGRA  = C.CV_BGR2BGRA
 	CV_RGBA2BGRA = C.CV_RGBA2BGRA
 
-	CV_BLUR_NO_SCALE = C.CV_BLUR_NO_SCALE
 	CV_BLUR = C.CV_BLUR
-	CV_GAUSSIAN      = C.CV_GAUSSIAN
-	CV_MEDIAN        = C.CV_MEDIAN
-	CV_BILATERAL     = C.CV_BILATERAL
 
 	CV_8U  = C.CV_8U
 	CV_8S  = C.CV_8S

opencv/cxcore.go

@@ -142,11 +142,6 @@ func (img *IplImage) Get3D(x, y, z int) Scalar {
 	return Scalar(ret)
 }
 
-/* Sets every element of an array to a given value. */
-func (img *IplImage) Set(value Scalar) {
-	C.cvSet(unsafe.Pointer(img), (C.CvScalar)(value), nil)
-}
-
 /* Set1D sets a particular element in the image */
 func (img *IplImage) Set1D(x int, value Scalar) {
 	C.cvSet1D(unsafe.Pointer(img), C.int(x), (C.CvScalar)(value))
@@ -528,15 +523,6 @@ func Not(src, dst *IplImage) {
 /****************************************************************************************\
 *                                    Array Statistics                         *
 \****************************************************************************************/
-// CvScalar cvAvg(const CvArr* arr, const CvArr* mask=NULL )
-func (src *IplImage) Avg(mask *IplImage) Scalar {
-	return (Scalar)(C.cvAvg(unsafe.Pointer(src), unsafe.Pointer(mask)))
-}
-
-// cvEqualizeHist(const CvArr* src, CvArr* dst)
-func (src *IplImage) EqualizeHist(dst *IplImage) {
-	C.cvEqualizeHist(unsafe.Pointer(src), unsafe.Pointer(dst))
-}
 
 /****************************************************************************************\
 *                      Discrete Linear Transforms and Related Functions       *
@@ -545,25 +531,6 @@ func (src *IplImage) EqualizeHist(dst *IplImage) {
 /****************************************************************************************\
 *                              Dynamic data structures                        *
 \****************************************************************************************/
-func (seq *Seq) Release() {
-	C.cvReleaseMemStorage(&seq.storage)
-}
-
-func (seq *Seq) Total() int {
-	return (int)(seq.total)
-}
-
-func (seq *Seq) HNext() *Seq {
-	return (*Seq)(seq.h_next)
-}
-
-func (seq *Seq) VNext() *Seq {
-	return (*Seq)(seq.v_next)
-}
-
-func (seq *Seq) Storage() *MemStorage {
-	return (*MemStorage)(seq.storage)
-}
 
 /****************************************************************************************\
 *                                     Drawing                                 *
@@ -599,48 +566,6 @@ func Circle(image *IplImage, pt1 Point, radius int, color Scalar, thickness, lin
 	)
 }
 
-const (
-	CV_FONT_HERSHEY_SIMPLEX        = int(C.CV_FONT_HERSHEY_SIMPLEX)
-	CV_FONT_HERSHEY_PLAIN          = int(C.CV_FONT_HERSHEY_PLAIN)
-	CV_FONT_HERSHEY_DUPLEX         = int(C.CV_FONT_HERSHEY_DUPLEX)
-	CV_FONT_HERSHEY_COMPLEX        = int(C.CV_FONT_HERSHEY_COMPLEX)
-	CV_FONT_HERSHEY_TRIPLEX        = int(C.CV_FONT_HERSHEY_TRIPLEX)
-	CV_FONT_HERSHEY_COMPLEX_SMALL  = int(C.CV_FONT_HERSHEY_COMPLEX_SMALL)
-	CV_FONT_HERSHEY_SCRIPT_SIMPLEX = int(C.CV_FONT_HERSHEY_SCRIPT_SIMPLEX)
-	CV_FONT_HERSHEY_SCRIPT_COMPLEX = int(C.CV_FONT_HERSHEY_SCRIPT_COMPLEX)
-	CV_FONT_ITALIC                 = int(C.CV_FONT_ITALIC)
-)
-
-type Font struct {
-	font C.CvFont
-}
-
-//void cvInitFont(CvFont* font, int font_face, double hscale, double vscale, double shear=0, int thickness=1, int line_type=8 )
-func InitFont(fontFace int, hscale, vscale, shear float32, thickness, lineType int) *Font {
-	font := new(Font)
-	C.cvInitFont(
-		&font.font,
-		C.int(fontFace),
-		C.double(hscale),
-		C.double(vscale),
-		C.double(shear),
-		C.int(thickness),
-		C.int(lineType),
-	)
-	return font
-}
-
-// void cvPutText(CvArr* img, const char* text, CvPoint org, const CvFont* font, CvScalar color)
-func (this *Font) PutText(image *IplImage, text string, pt1 Point, color Scalar) {
-	C.cvPutText(
-		unsafe.Pointer(image),
-		C.CString(text),
-		C.cvPoint(C.int(pt1.X), C.int(pt1.Y)),
-		&this.font,
-		(C.CvScalar)(color),
-	)
-}
-
 //CVAPI(void)  cvLine( CvArr* img, CvPoint pt1, CvPoint pt2,
 //                     CvScalar color, int thickness CV_DEFAULT(1),
 //                     int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0) );

opencv/cxcore_test.go

@@ -1,75 +1,9 @@
 package opencv
 
 import (
-	"bytes"
-	"io/ioutil"
-	"os"
-	"path"
-	"runtime"
-	"syscall"
 	"testing"
 )
 
 func TestLoadImage2(t *testing.T) {
 	// t.Errorf("aaa")
 }
-
-func TestInitFont(t *testing.T) {
-	// Will assert at the C layer on error
-	InitFont(CV_FONT_HERSHEY_DUPLEX, 1, 1, 0, 1, 8)
-}
-
-func TestPutText(t *testing.T) {
-	_, currentfile, _, _ := runtime.Caller(0)
-	filename := path.Join(path.Dir(currentfile), "../images/lena.jpg")
-
-	image := LoadImage(filename)
-	if image == nil {
-		t.Fatal("LoadImage fail")
-	}
-	defer image.Release()
-
-	// Write 'Hello' on the image
-	font := InitFont(CV_FONT_HERSHEY_DUPLEX, 1, 1, 0, 1, 8)
-	color := NewScalar(255, 255, 255, 0)
-
-	pos := Point{image.Width() / 2, image.Height() / 2}
-	font.PutText(image, "Hello", pos, color)
-
-	filename = path.Join(path.Dir(currentfile), "../images/lena_with_text.jpg")
-
-	// Uncomment this code to create the test image "../images/lena_with_text.jpg"
-	// It is part of the repo, and what this test compares against
-	//
-	// SaveImage(filename, image, 0)
-	// println("Saved file", filename)
-
-	tempfilename := path.Join(os.TempDir(), "lena_with_text.jpg")
-	defer syscall.Unlink(tempfilename)
-
-	SaveImage(tempfilename, image, 0)
-
-	// Compare actual image with expected image
-	same, err := BinaryCompare(filename, tempfilename)
-	if err != nil {
-		t.Fatal(err)
-	}
-	if !same {
-		t.Error("Actual file differs from expected file with text")
-	}
-}
-
-// Compare two files, return true if exactly the same
-func BinaryCompare(file1, file2 string) (bool, error) {
-	f1, err := ioutil.ReadFile(file1)
-	if err != nil {
-		return false, err
-	}
-
-	f2, err := ioutil.ReadFile(file2)
-	if err != nil {
-		return false, err
-	}
-
-	return bytes.Equal(f1, f2), nil
-}

opencv/cxtype.go

@@ -595,18 +595,6 @@ type Box2D struct {
 	angle  float32
 }
 
-func (box *Box2D) Size() Size2D32f {
-	return box.size
-}
-
-func (box *Box2D) Center() Point2D32f {
-	return box.center
-}
-
-func (box *Box2D) Angle() float32 {
-	return box.angle
-}
-
 type LineIterator C.CvLineIterator
 
 /************************************* CvSlice ******************************************/
@@ -617,12 +605,6 @@ const (
 	CV_WHOLE_SEQ_END_INDEX = C.CV_WHOLE_SEQ_END_INDEX
 )
 
-/* Equivalent to the C constant CV_WHOLE_SEQ */
-func WholeSeq() Slice {
-	slice := C.cvSlice(C.int(0), C.CV_WHOLE_SEQ_END_INDEX)
-	return (Slice)(slice)
-}
-
 /************************************* CvScalar *****************************************/
 
 type Scalar C.CvScalar
@@ -679,18 +661,6 @@ type Graph C.CvGraph
 type Chain C.CvChain
 type Contour C.CvContour
 
-const (
-	CV_RETR_EXTERNAL = C.CV_RETR_EXTERNAL
-	CV_RETR_LIST     = C.CV_RETR_LIST
-	CV_RETR_CCOMP    = C.CV_RETR_CCOMP
-	CV_RETR_TREE     = C.CV_RETR_TREE
-
-	CV_CHAIN_APPROX_NONE      = C.CV_CHAIN_APPROX_NONE
-	CV_CHAIN_APPROX_SIMPLE    = C.CV_CHAIN_APPROX_SIMPLE
-	CV_CHAIN_APPROX_TC89_L1   = C.CV_CHAIN_APPROX_TC89_L1
-	CV_CHAIN_APPROX_TC89_KCOS = C.CV_CHAIN_APPROX_TC89_KCOS
-)
-
 /****************************************************************************************\
 *                                    Sequence types                                      *
 \****************************************************************************************/
@@ -724,15 +694,6 @@ const (
 
 type AttrList C.CvAttrList
 
-/****************************************************************************************/
-/*                  Structural Analysis and Shape Descriptors                           */
-/****************************************************************************************/
-
-/* For use in ApproxPoly */
-const (
-	CV_POLY_APPROX_DP = C.CV_POLY_APPROX_DP
-)
-
 /*****************************************************************************\
 *                                 --- END ---                                 *
 \*****************************************************************************/

opencv/imgproc.go

@@ -52,78 +52,3 @@ func Crop(src *IplImage, x, y, width, height int) *IplImage {
 
 	return dest
 }
-
-/* Returns a Seq of countours in an image, detected according to the parameters.
-   Caller must Release() the Seq returned */
-func (image *IplImage) FindContours(mode, method int, offset Point) *Seq {
-	storage := C.cvCreateMemStorage(0)
-	header_size := (C.size_t)(unsafe.Sizeof(C.CvContour{}))
-	var seq *C.CvSeq
-	C.cvFindContours(
-		unsafe.Pointer(image),
-		storage,
-		&seq,
-		C.int(header_size),
-		C.int(mode),
-		C.int(method),
-		C.cvPoint(C.int(offset.X), C.int(offset.Y)))
-
-	return (*Seq)(seq)
-}
-
-//cvDrawContours(CvArr* img, CvSeq* contour, CvScalar externalColor, CvScalar holeColor, int maxLevel, int thickness=1, int lineType=8
-func DrawContours(image *IplImage, contours *Seq, externalColor, holeColor Scalar, maxLevel, thickness, lineType int, offset Point) {
-	C.cvDrawContours(
-		unsafe.Pointer(image),
-		(*C.CvSeq)(contours),
-		(C.CvScalar)(externalColor),
-		(C.CvScalar)(holeColor),
-		C.int(maxLevel),
-		C.int(thickness),
-		C.int(lineType),
-		C.cvPoint(C.int(offset.X), C.int(offset.Y)))
-}
-
-// CvSeq* cvApproxPoly(const void* src_seq, int header_size, CvMemStorage* storage, int method, double eps, int recursive=0 )
-func ApproxPoly(src *Seq, header_size int, storage *MemStorage, method int, eps float64, recursive int) *Seq {
-	seq := C.cvApproxPoly(
-		unsafe.Pointer(src),
-		C.int(header_size),
-		(*C.CvMemStorage)(storage),
-		C.int(method),
-		C.double(eps),
-		C.int(recursive))
-	return (*Seq)(seq)
-}
-
-// cvArcLength(const void* curve, CvSlice slice=CV_WHOLE_SEQ, int is_closed=-1 )
-func ArcLength(curve *Seq, slice Slice, is_closed bool) float64 {
-	is_closed_int := 0
-	if is_closed {
-		is_closed_int = 1
-	}
-	return float64(C.cvArcLength(unsafe.Pointer(curve),
-		(C.CvSlice)(slice),
-		C.int(is_closed_int)))
-}
-
-func ContourPerimeter(curve *Seq) float64 {
-	return ArcLength(curve, WholeSeq(), true)
-}
-
-// double cvContourArea(const CvArr* contour, CvSlice slice=CV_WHOLE_SEQ, int oriented=0 )
-func ContourArea(contour *Seq, slice Slice, oriented int) float64 {
-	return float64(C.cvContourArea(
-		unsafe.Pointer(contour),
-		(C.CvSlice)(slice),
-		C.int(oriented)))
-}
-
-/* points can be either CvSeq* or CvMat* */
-func FitEllipse2(points unsafe.Pointer) Box2D {
-	box := C.cvFitEllipse2(points)
-	center := Point2D32f{float32(box.center.x), float32(box.center.y)}
-	size := Size2D32f{float32(box.size.width), float32(box.size.height)}
-	angle := float32(box.angle)
-	return Box2D{center, size, angle}
-}

opencv/imgproc_test.go

@@ -1,10 +1,8 @@
 package opencv
 
 import (
-	"os"
 	"path"
 	"runtime"
-	"syscall"
 	"testing"
 )
 
@@ -57,56 +55,3 @@ func TestCrop(t *testing.T) {
 		t.Fatalf("excepted width is 200, returned %d\n", crop.Height())
 	}
 }
-
-func TestFindContours(t *testing.T) {
-	_, currentfile, _, _ := runtime.Caller(0)
-	filename := path.Join(path.Dir(currentfile), "../images/pic5.png")
-
-	image := LoadImage(filename)
-	if image == nil {
-		t.Fatal("LoadImage fail")
-	}
-	defer image.Release()
-
-	grayscale := CreateImage(image.Width(), image.Height(), IPL_DEPTH_8U, 1)
-	CvtColor(image, grayscale, CV_BGR2GRAY)
-	defer grayscale.Release()
-
-	edges := CreateImage(grayscale.Width(), grayscale.Height(), grayscale.Depth(), grayscale.Channels())
-	defer edges.Release()
-	Canny(grayscale, edges, 50, 200, 3)
-
-	seq := edges.FindContours(CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point{0, 0})
-	defer seq.Release()
-
-	contours := CreateImage(grayscale.Width(), grayscale.Height(), grayscale.Depth(), grayscale.Channels())
-	white := NewScalar(255, 255, 255, 0)
-	contours.Set(white)
-
-	black := NewScalar(0, 0, 0, 0)
-	red := NewScalar(0, 255, 0, 0)
-
-	for ; seq != nil; seq = seq.HNext() {
-		DrawContours(contours, seq, red, black, 0, 2, 8, Point{0, 0})
-	}
-
-	filename = path.Join(path.Dir(currentfile), "../images/pic5_contours.png")
-	// Uncomment this code to create the test image "../images/shapes_contours.png"
-	// It is part of the repo, and what this test compares against
-	//
-	//SaveImage(filename), contours, 0)
-
-	tempfilename := path.Join(os.TempDir(), "pic5_contours.png")
-	defer syscall.Unlink(tempfilename)
-	SaveImage(tempfilename, contours, 0)
-
-	// Compare actual image with expected image
-	same, err := BinaryCompare(filename, tempfilename)
-	if err != nil {
-		t.Fatal(err)
-	}
-	if !same {
-		t.Error("Expected contour file != actual contour file")
-	}
-
-}

samples/webcam_facedetect.go

@@ -1,54 +0,0 @@
-package main
-
-import (
-	"fmt"
-	"os"
-	"path"
-
-	"github.com/lazywei/go-opencv/opencv"
-)
-
-func main() {
-	win := opencv.NewWindow("Go-OpenCV Webcam Face Detection")
-	defer win.Destroy()
-
-	cap := opencv.NewCameraCapture(0)
-	if cap == nil {
-		panic("cannot open camera")
-	}
-	defer cap.Release()
-
-	cwd, err := os.Getwd()
-	if err != nil {
-		panic(err)
-	}
-	cascade := opencv.LoadHaarClassifierCascade(path.Join(cwd, "haarcascade_frontalface_alt.xml"))
-
-	fmt.Println("Press ESC to quit")
-	for {
-		if cap.GrabFrame() {
-			img := cap.RetrieveFrame(1)
-			if img != nil {
-				faces := cascade.DetectObjects(img)
-				for _, value := range faces {
-					opencv.Circle(img,
-						opencv.Point{
-							value.X() + (value.Width() / 2),
-							value.Y() + (value.Height() / 2),
-						},
-						value.Width()/2,
-						opencv.ScalarAll(255.0), 1, 1, 0)
-				}
-
-				win.ShowImage(img)
-			} else {
-				fmt.Println("nil image")
-			}
-		}
-		key := opencv.WaitKey(1)
-
-		if key == 27 {
-			os.Exit(0)
-		}
-	}
-}