Chiebot-Mirror
/
opencv
mirror of https://github.com/opencv/opencv.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity

Backport C-API cleanup (imgproc) from 5.x

Browse Source
pull/23141/head
Maksim Shabunin 2 years ago
parent c63d79c5b1
commit c1e5c16ff3
34 changed files with 206 additions and 397 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 6
      doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.markdown
  2. 8
      doc/tutorials/imgproc/histograms/histogram_comparison/histogram_comparison.markdown
  3. 151
      modules/calib3d/src/calibinit.cpp
  4. 6
      modules/calib3d/test/test_undistort.cpp
  5. 8
      modules/core/include/opencv2/core/cuda.hpp
  6. 2
      modules/gapi/include/opencv2/gapi/core.hpp
  7. 6
      modules/imgproc/doc/pics/polar_remap_doc.svg
  8. 12
      modules/imgproc/misc/java/test/ImgprocTest.java
  9. 4
      modules/imgproc/perf/opencl/perf_matchTemplate.cpp
  10. 6
      modules/imgproc/perf/perf_houghcircles.cpp
  11. 10
      modules/imgproc/src/_geom.h
  12. 3
      modules/imgproc/src/canny.cpp
  13. 28
      modules/imgproc/src/drawing.cpp
  14. 24
      modules/imgproc/src/linefit.cpp
  15. 2
      modules/imgproc/src/segmentation.cpp
  16. 54
      modules/imgproc/src/templmatch.cpp
  17. 2
      modules/imgproc/test/ocl/test_match_template.cpp
  18. 2
      modules/imgproc/test/test_canny.cpp
  19. 46
      modules/imgproc/test/test_drawing.cpp
  20. 2
      modules/imgproc/test/test_houghcircles.cpp
  21. 20
      modules/imgproc/test/test_imgwarp_strict.cpp
  22. 4
      modules/imgproc/test/test_pc.cpp
  23. 28
      modules/imgproc/test/test_templmatch.cpp
  24. 26
      modules/imgproc/test/test_templmatchmask.cpp
  25. 15
      modules/photo/src/inpaint.cpp
  26. 2
      modules/ts/src/ocl_test.cpp
  27. 10
      modules/ts/src/ts_func.cpp
  28. 32
      modules/video/test/test_camshift.cpp
  29. 30
      modules/videoio/src/cap_avfoundation.mm
  30. 38
      modules/videoio/src/cap_avfoundation_mac.mm
  31. 2
      modules/videoio/src/cap_openni2.cpp
  32. 4
      samples/android/15-puzzle/src/org/opencv/samples/puzzle15/Puzzle15Processor.java
  33. 2
      samples/cpp/mask_tmpl.cpp
  34. 8
      samples/java/tutorial_code/ImgProc/erosion_dilatation/MorphologyDemo1.java

6
doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.markdown
Unescape View File

@ -204,9 +204,9 @@ receives three arguments:
We can choose any of three shapes for our kernel:
- Rectangular box: CV_SHAPE_RECT
- Cross: CV_SHAPE_CROSS
- Ellipse: CV_SHAPE_ELLIPSE
- Rectangular box: Imgproc.SHAPE_RECT
- Cross: Imgproc.SHAPE_CROSS
- Ellipse: Imgproc.SHAPE_ELLIPSE
Together with the shape we specify the size of our kernel and the *anchor point*. If the anchor point is not
specified, it is assumed to be in the center.

8
doc/tutorials/imgproc/histograms/histogram_comparison/histogram_comparison.markdown
Unescape View File

@ -27,19 +27,19 @@ Theory
(\f$d(H_{1}, H_{2})\f$) to express how well both histograms match.
- OpenCV implements the function @ref cv::compareHist to perform a comparison. It also offers 4
different metrics to compute the matching:
-# **Correlation ( CV_COMP_CORREL )**
-# **Correlation ( cv::HISTCMP_CORREL )**
\f[d(H_1,H_2) = \frac{\sum_I (H_1(I) - \bar{H_1}) (H_2(I) - \bar{H_2})}{\sqrt{\sum_I(H_1(I) - \bar{H_1})^2 \sum_I(H_2(I) - \bar{H_2})^2}}\f]
where
\f[\bar{H_k} = \frac{1}{N} \sum _J H_k(J)\f]
and \f$N\f$ is the total number of histogram bins.
-# **Chi-Square ( CV_COMP_CHISQR )**
-# **Chi-Square ( cv::HISTCMP_CHISQR )**
\f[d(H_1,H_2) = \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)}\f]
-# **Intersection ( method=CV_COMP_INTERSECT )**
-# **Intersection ( method=cv::HISTCMP_INTERSECT )**
\f[d(H_1,H_2) = \sum _I \min (H_1(I), H_2(I))\f]
-# **Bhattacharyya distance ( CV_COMP_BHATTACHARYYA )**
-# **Bhattacharyya distance ( cv::HISTCMP_BHATTACHARYYA )**
\f[d(H_1,H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}\f]
Code

151
modules/calib3d/src/calibinit.cpp
Unescape View File

@ -101,8 +101,6 @@ namespace cv {
#define MAX_CONTOUR_APPROX 7
#define USE_CV_FINDCONTOURS // switch between cv::findContours() and legacy C API
#ifdef USE_CV_FINDCONTOURS
struct QuadCountour {
Point pt[4];
int parent_contour;
@ -113,18 +111,6 @@ struct QuadCountour {
pt[0] = pt_[0]; pt[1] = pt_[1]; pt[2] = pt_[2]; pt[3] = pt_[3];
}
};
#else
} // namespace
#include "opencv2/imgproc/imgproc_c.h"
namespace cv {
struct CvContourEx
{
CV_CONTOUR_FIELDS()
int counter;
};
#endif
/** This structure stores information about the chessboard corner.*/
@ -552,13 +538,7 @@ bool findChessboardCorners(InputArray image_, Size pattern_size,
rectangle( thresh_img_new, Point(0,0), Point(thresh_img_new.cols-1, thresh_img_new.rows-1), Scalar(255,255,255), 3, LINE_8);
detector.reset();
#ifdef USE_CV_FINDCONTOURS
Mat binarized_img = thresh_img_new;
#else
Mat binarized_img = thresh_img_new.clone(); // make clone because cvFindContours modifies the source image
#endif
detector.generateQuads(binarized_img, flags);
detector.generateQuads(thresh_img_new, flags);
DPRINTF("Quad count: %d/%d", detector.all_quads_count, (pattern_size.width/2+1)*(pattern_size.height/2+1));
SHOW_QUADS("New quads", thresh_img_new, &detector.all_quads[0], detector.all_quads_count);
if (detector.processQuads(out_corners, prev_sqr_size))
@ -623,13 +603,7 @@ bool findChessboardCorners(InputArray image_, Size pattern_size,
rectangle( thresh_img, Point(0,0), Point(thresh_img.cols-1, thresh_img.rows-1), Scalar(255,255,255), 3, LINE_8);
detector.reset();
#ifdef USE_CV_FINDCONTOURS
Mat binarized_img = thresh_img;
#else
Mat binarized_img = (useAdaptive) ? thresh_img : thresh_img.clone(); // make clone because cvFindContours modifies the source image
#endif
detector.generateQuads(binarized_img, flags);
detector.generateQuads(thresh_img, flags);
DPRINTF("Quad count: %d/%d", detector.all_quads_count, (pattern_size.width/2+1)*(pattern_size.height/2+1));
SHOW_QUADS("Old quads", thresh_img, &detector.all_quads[0], detector.all_quads_count);
if (detector.processQuads(out_corners, prev_sqr_size))
@ -1376,7 +1350,6 @@ int ChessBoardDetector::checkQuadGroup(std::vector<ChessBoardQuad*>& quad_group,
for (int j = 0; j < 4; ++j)
{
//cvLine( debug_img, cvPointFrom32f(q->corners[j]->pt), cvPointFrom32f(q->corners[(j+1)&3]->pt), color, 1, CV_AA, 0 );
if (q->neighbors[j])
{
int next_j = (j + 1) & 3;
@ -1465,7 +1438,6 @@ int ChessBoardDetector::checkQuadGroup(std::vector<ChessBoardQuad*>& quad_group,
goto finalize;
cur->row = 0;
//cvCircle( debug_img, cvPointFrom32f(cur->pt), 3, cvScalar(0,255,0), -1, 8, 0 );
first = below; // remember the first corner in the next row
@ -1474,7 +1446,6 @@ int ChessBoardDetector::checkQuadGroup(std::vector<ChessBoardQuad*>& quad_group,
{
right->row = 0;
out_corners.push_back(right);
//cvCircle( debug_img, cvPointFrom32f(right->pt), 3, cvScalar(0,255-j*10,0), -1, 8, 0 );
if( right->count == 2 )
break;
if( right->count != 3 || (int)out_corners.size() >= std::max(pattern_size.width,pattern_size.height) )
@ -1519,7 +1490,6 @@ int ChessBoardDetector::checkQuadGroup(std::vector<ChessBoardQuad*>& quad_group,
{
cur->row = i;
out_corners.push_back(cur);
//cvCircle( debug_img, cvPointFrom32f(cur->pt), 3, cvScalar(0,0,255-j*10), -1, 8, 0 );
if (cur->count == 2 + (i < height-1) && j > 0)
break;
@ -1764,7 +1734,6 @@ void ChessBoardDetector::generateQuads(const cv::Mat& image_, int flags)
int min_size = 25; //cvRound( image->cols * image->rows * .03 * 0.01 * 0.92 );
bool filterQuads = (flags & CALIB_CB_FILTER_QUADS) != 0;
#ifdef USE_CV_FINDCONTOURS // use cv::findContours
std::vector<std::vector<Point> > contours;
std::vector<Vec4i> hierarchy;
@ -1879,122 +1848,6 @@ void ChessBoardDetector::generateQuads(const cv::Mat& image_, int flags)
}
}
#else // use legacy API: cvStartFindContours / cvFindNextContour / cvEndFindContours
CvMat image_old = cvMat(image_), *image = &image_old;
CvContourEx* board = 0;
// create temporary storage for contours and the sequence of pointers to found quadrangles
cv::Ptr<CvMemStorage> temp_storage(cvCreateMemStorage(0));
CvSeq *root = cvCreateSeq(0, sizeof(CvSeq), sizeof(CvSeq*), temp_storage);
// initialize contour retrieving routine
CvContourScanner scanner = cvStartFindContours(image, temp_storage, sizeof(CvContourEx),
CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
// get all the contours one by one
CvSeq* src_contour = NULL;
while ((src_contour = cvFindNextContour(scanner)) != NULL)
{
CvSeq *dst_contour = 0;
CvRect rect = ((CvContour*)src_contour)->rect;
// reject contours with too small perimeter
if( CV_IS_SEQ_HOLE(src_contour) && rect.width*rect.height >= min_size )
{
const int min_approx_level = 1, max_approx_level = MAX_CONTOUR_APPROX;
for (int approx_level = min_approx_level; approx_level <= max_approx_level; approx_level++ )
{
dst_contour = cvApproxPoly( src_contour, sizeof(CvContour), temp_storage,
CV_POLY_APPROX_DP, (float)approx_level );
if( dst_contour->total == 4 )
break;
// we call this again on its own output, because sometimes
// cvApproxPoly() does not simplify as much as it should.
dst_contour = cvApproxPoly( dst_contour, sizeof(CvContour), temp_storage,
CV_POLY_APPROX_DP, (float)approx_level );
if( dst_contour->total == 4 )
break;
}
// reject non-quadrangles
if( dst_contour->total == 4 && cvCheckContourConvexity(dst_contour) )
{
cv::Point2i pt[4];
double p = cvContourPerimeter(dst_contour);
double area = fabs(cvContourArea(dst_contour, CV_WHOLE_SEQ));
for (int i = 0; i < 4; ++i)
pt[i] = *(CvPoint*)cvGetSeqElem(dst_contour, i);
CV_LOG_VERBOSE(NULL, 9, "... contours(" << root->total << " added):" << pt[0] << " " << pt[1] << " " << pt[2] << " " << pt[3]);
double d1 = sqrt(normL2Sqr<double>(pt[0] - pt[2]));
double d2 = sqrt(normL2Sqr<double>(pt[1] - pt[3]));
// philipg. Only accept those quadrangles which are more square
// than rectangular and which are big enough
double d3 = sqrt(normL2Sqr<double>(pt[0] - pt[1]));
double d4 = sqrt(normL2Sqr<double>(pt[1] - pt[2]));
if (!filterQuads ||
(d3*4 > d4 && d4*4 > d3 && d3*d4 < area*1.5 && area > min_size &&
d1 >= 0.15 * p && d2 >= 0.15 * p))
{
CvContourEx* parent = (CvContourEx*)(src_contour->v_prev);
parent->counter++;
if( !board || board->counter < parent->counter )
board = parent;
dst_contour->v_prev = (CvSeq*)parent;
//for( i = 0; i < 4; i++ ) cvLine( debug_img, pt[i], pt[(i+1)&3], cvScalar(200,255,255), 1, CV_AA, 0 );
cvSeqPush( root, &dst_contour );
}
}
}
}
// finish contour retrieving
cvEndFindContours( &scanner );
// allocate quad & corner buffers
int total = root->total;
size_t max_quad_buf_size = std::max((size_t)2, (size_t)total * 3);
all_quads.allocate(max_quad_buf_size);
all_corners.allocate(max_quad_buf_size * 4);
// Create array of quads structures
for (int idx = 0; idx < total; ++idx)
{
/* CvSeq* */src_contour = *(CvSeq**)cvGetSeqElem(root, idx);
if (filterQuads && src_contour->v_prev != (CvSeq*)board)
continue;
int quad_idx = quad_count++;
ChessBoardQuad& q = all_quads[quad_idx];
// reset group ID
q = ChessBoardQuad();
CV_Assert(src_contour->total == 4);
for (int i = 0; i < 4; i++)
{
Point* onePoint = (Point*)cvGetSeqElem(src_contour, i);
CV_Assert(onePoint != NULL);
Point2f pt(*onePoint);
ChessBoardCorner& corner = all_corners[quad_idx*4 + i];
corner = ChessBoardCorner(pt);
q.corners[i] = &corner;
}
q.edge_len = FLT_MAX;
for (int i = 0; i < 4; ++i)
{
float d = normL2Sqr<float>(q.corners[i]->pt - q.corners[(i+1)&3]->pt);
q.edge_len = std::min(q.edge_len, d);
}
}
#endif
all_quads_count = quad_count;
CV_LOG_VERBOSE(NULL, 3, "Total quad contours: " << total);

6
modules/calib3d/test/test_undistort.cpp
Unescape View File

@ -998,7 +998,7 @@ TEST(DISABLED_Calib3d_InitInverseRectificationMap, accuracy) { CV_InitInverseRec
////////////////////////////// undistort /////////////////////////////////
static void test_remap( const Mat& src, Mat& dst, const Mat& mapx, const Mat& mapy,
Mat* mask=0, int interpolation=CV_INTER_LINEAR )
Mat* mask=0, int interpolation=cv::INTER_LINEAR )
{
int x, y, k;
int drows = dst.rows, dcols = dst.cols;
@ -1009,7 +1009,7 @@ static void test_remap( const Mat& src, Mat& dst, const Mat& mapx, const Mat& ma
int step = (int)(src.step / CV_ELEM_SIZE(depth));
int delta;
if( interpolation != CV_INTER_CUBIC )
if( interpolation != cv::INTER_CUBIC )
{
delta = 0;
scols -= 1; srows -= 1;
@ -1318,7 +1318,7 @@ void CV_UndistortTest::get_test_array_types_and_sizes( int test_case_idx, vector
sizes[INPUT][2] = cvtest::randInt(rng)%2 ? cvSize(4,1) : cvSize(1,4);
types[INPUT][3] = types[INPUT][1];
sizes[INPUT][3] = sizes[INPUT][1];
interpolation = CV_INTER_LINEAR;
interpolation = cv::INTER_LINEAR;
}

8
modules/core/include/opencv2/core/cuda.hpp
Unescape View File

@ -609,8 +609,8 @@ Below is an example that utilizes BufferPool with StackAllocator:
GpuMat d_src2 = pool2.getBuffer(1024, 1024, CV_8UC1); // 1MB
GpuMat d_dst2 = pool2.getBuffer(1024, 1024, CV_8UC3); // 3MB
cvtColor(d_src1, d_dst1, CV_GRAY2BGR, 0, stream1);
cvtColor(d_src2, d_dst2, CV_GRAY2BGR, 0, stream2);
cvtColor(d_src1, d_dst1, cv::COLOR_GRAY2BGR, 0, stream1);
cvtColor(d_src2, d_dst2, cv::COLOR_GRAY2BGR, 0, stream2);
}
@endcode
@ -675,8 +675,8 @@ and the corresponding memory is automatically returned to the pool for later usa
d_src1.setTo(Scalar(i), stream1);
d_src2.setTo(Scalar(i), stream2);
cvtColor(d_src1, d_dst1, CV_GRAY2BGR, 0, stream1);
cvtColor(d_src2, d_dst2, CV_GRAY2BGR, 0, stream2);
cvtColor(d_src1, d_dst1, cv::COLOR_GRAY2BGR, 0, stream1);
cvtColor(d_src2, d_dst2, cv::COLOR_GRAY2BGR, 0, stream2);
// The order of destruction of the local variables is:
// d_dst2 => d_src2 => d_dst1 => d_src1
// LIFO rule is satisfied, this code runs without error

2
modules/gapi/include/opencv2/gapi/core.hpp
Unescape View File

@ -1418,7 +1418,7 @@ types.
*/
GAPI_EXPORTS_W GMat threshold(const GMat& src, const GScalar& thresh, const GScalar& maxval, int type);
/** @overload
This function applicable for all threshold types except CV_THRESH_OTSU and CV_THRESH_TRIANGLE
This function applicable for all threshold types except cv::THRESH_OTSU and cv::THRESH_TRIANGLE
@note Function textual ID is "org.opencv.core.matrixop.thresholdOT"
*/
GAPI_EXPORTS_W std::tuple<GMat, GScalar> threshold(const GMat& src, const GScalar& maxval, int type);

6
modules/imgproc/doc/pics/polar_remap_doc.svg
Unescape View File

@ -2351,7 +2351,7 @@ v/yr//0n63/XHTrw/wG8XoGIn8Sc7QAAAABJRU5ErkJggg==
x="1408.5438"
y="1445.6154"
id="tspan10807"
style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:17.5px;line-height:1.25;font-family:serif;-inkscape-font-specification:'serif Italic'">CV_WARP_FILL_OUTLIERS</tspan></text>
style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:17.5px;line-height:1.25;font-family:serif;-inkscape-font-specification:'serif Italic'">cv::WARP_FILL_OUTLIERS</tspan></text>
<path
style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5176)"
d="m 1493.2407,1448.7527 c 199.5036,0.8614 218.4554,-34.5864 259.1291,-179.15"
@ -3130,7 +3130,7 @@ v/yr//0n63/XHTrw/wG8XoGIn8Sc7QAAAABJRU5ErkJggg==
x="1577.472"
y="602.83765"
id="tspan10807-6"
style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:17.5px;line-height:1.25;font-family:serif;-inkscape-font-specification:'serif Italic'">CV_WARP_FILL_OUTLIERS</tspan></text>
style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:17.5px;line-height:1.25;font-family:serif;-inkscape-font-specification:'serif Italic'">cv::WARP_FILL_OUTLIERS</tspan></text>
<path
style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5176-89)"
d="m 1473.2037,606.11056 c -21.2287,0.8614 17.5333,-133.30846 -27.5745,-179.15"
@ -3236,7 +3236,7 @@ v/yr//0n63/XHTrw/wG8XoGIn8Sc7QAAAABJRU5ErkJggg==
x="2178.0503"
y="602.83765"
id="tspan10807-6-4"
style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:17.5px;line-height:1.25;font-family:serif;-inkscape-font-specification:'serif Italic'">CV_WARP_FILL_OUTLIERS</tspan></text>
style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:17.5px;line-height:1.25;font-family:serif;-inkscape-font-specification:'serif Italic'">cv::WARP_FILL_OUTLIERS</tspan></text>
<path
style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5176-89-9)"
d="m 2073.7821,606.11056 c -21.2287,0.8614 17.5333,-133.30846 -27.5745,-179.15"

Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 325 KiB

After

Width:  |  Height:  |  Size: 325 KiB

12
modules/imgproc/misc/java/test/ImgprocTest.java
Unescape View File

@ -357,7 +357,7 @@ public class ImgprocTest extends OpenCVTestCase {
H1.put(0, 0, 1, 2, 3);
H2.put(0, 0, 4, 5, 6);
double distance = Imgproc.compareHist(H1, H2, Imgproc.CV_COMP_CORREL);
double distance = Imgproc.compareHist(H1, H2, Imgproc.HISTCMP_CORREL);
assertEquals(1., distance, EPS);
}
@ -636,7 +636,7 @@ public class ImgprocTest extends OpenCVTestCase {
Mat dstLables = getMat(CvType.CV_32SC1, 0);
Mat labels = new Mat();
Imgproc.distanceTransformWithLabels(gray128, dst, labels, Imgproc.CV_DIST_L2, 3);
Imgproc.distanceTransformWithLabels(gray128, dst, labels, Imgproc.DIST_L2, 3);
assertMatEqual(dstLables, labels);
assertMatEqual(getMat(CvType.CV_32FC1, 8192), dst, EPS);
@ -813,7 +813,7 @@ public class ImgprocTest extends OpenCVTestCase {
Mat linePoints = new Mat(4, 1, CvType.CV_32FC1);
linePoints.put(0, 0, 0.53198653, 0.84675282, 2.5, 3.75);
Imgproc.fitLine(points, dst, Imgproc.CV_DIST_L12, 0, 0.01, 0.01);
Imgproc.fitLine(points, dst, Imgproc.DIST_L12, 0, 0.01, 0.01);
assertMatEqual(linePoints, dst, EPS);
}
@ -1040,7 +1040,7 @@ public class ImgprocTest extends OpenCVTestCase {
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
Mat circles = new Mat();
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4);
Imgproc.HoughCircles(img, circles, Imgproc.HOUGH_GRADIENT, 2, img.rows() / 4);
assertEquals(0, circles.cols());
}
@ -1054,7 +1054,7 @@ public class ImgprocTest extends OpenCVTestCase {
int radius = Math.min(img.cols() / 4, img.rows() / 4);
Imgproc.circle(img, center, radius, colorBlack, 3);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4);
Imgproc.HoughCircles(img, circles, Imgproc.HOUGH_GRADIENT, 2, img.rows() / 4);
assertEquals(1, circles.cols());
}
@ -1308,7 +1308,7 @@ public class ImgprocTest extends OpenCVTestCase {
contour1.put(0, 0, 1, 1, 5, 1, 4, 3, 6, 2);
contour2.put(0, 0, 1, 1, 6, 1, 4, 1, 2, 5);
double distance = Imgproc.matchShapes(contour1, contour2, Imgproc.CV_CONTOURS_MATCH_I1, 1);
double distance = Imgproc.matchShapes(contour1, contour2, Imgproc.CONTOURS_MATCH_I1, 1);
assertEquals(2.81109697365334, distance, EPS);
}

4
modules/imgproc/perf/opencl/perf_matchTemplate.cpp
Unescape View File

@ -60,7 +60,7 @@ OCL_PERF_TEST_P(CV_TM_CCORRFixture, matchTemplate,
declare.in(src, templ, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::matchTemplate(src, templ, dst, CV_TM_CCORR);
OCL_TEST_CYCLE() cv::matchTemplate(src, templ, dst, cv::TM_CCORR);
SANITY_CHECK(dst, 1e-4);
}
@ -78,7 +78,7 @@ OCL_PERF_TEST_P(CV_TM_CCORR_NORMEDFixture, matchTemplate,
declare.in(src, templ, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::matchTemplate(src, templ, dst, CV_TM_CCORR_NORMED);
OCL_TEST_CYCLE() cv::matchTemplate(src, templ, dst, cv::TM_CCORR_NORMED);
SANITY_CHECK(dst, 3e-2);
}

6
modules/imgproc/perf/perf_houghcircles.cpp
Unescape View File

@ -26,7 +26,7 @@ PERF_TEST(PerfHoughCircles, Basic)
TEST_CYCLE()
{
HoughCircles(img, circles, CV_HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
HoughCircles(img, circles, cv::HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
}
SANITY_CHECK_NOTHING();
@ -50,7 +50,7 @@ PERF_TEST(PerfHoughCircles2, ManySmallCircles)
TEST_CYCLE()
{
HoughCircles(img, circles, CV_HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
HoughCircles(img, circles, cv::HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
}
SANITY_CHECK_NOTHING();
@ -76,7 +76,7 @@ PERF_TEST(PerfHoughCircles4f, Basic)
TEST_CYCLE()
{
HoughCircles(img, circles, CV_HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
HoughCircles(img, circles, cv::HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
}
SANITY_CHECK_NOTHING();

10
modules/imgproc/src/_geom.h
Unescape View File

@ -42,16 +42,6 @@
#ifndef _CV_GEOM_H_
#define _CV_GEOM_H_
/* Finds distance between two points */
CV_INLINE float icvDistanceL2_32f( CvPoint2D32f pt1, CvPoint2D32f pt2 )
{
float dx = pt2.x - pt1.x;
float dy = pt2.y - pt1.y;
return std::sqrt( dx*dx + dy*dy );
}
/* curvature: 0 - 1-curvature, 1 - k-cosine curvature. */
CvSeq* icvApproximateChainTC89( CvChain* chain, int header_size, CvMemStorage* storage, int method );

3
modules/imgproc/src/canny.cpp
Unescape View File

@ -835,9 +835,10 @@ void Canny( InputArray _src, OutputArray _dst,
_dst.create(size, CV_8U);
// backward compatibility
const int CV_CANNY_L2_GRADIENT = (1 << 31);
if (!L2gradient && (aperture_size & CV_CANNY_L2_GRADIENT) == CV_CANNY_L2_GRADIENT)
{
// backward compatibility
aperture_size &= ~CV_CANNY_L2_GRADIENT;
L2gradient = true;
}

28
modules/imgproc/src/drawing.cpp
Unescape View File

@ -1111,7 +1111,7 @@ FillConvexPoly( Mat& img, const Point2l* v, int npts, const void* color, int lin
Point2l p0;
int delta1, delta2;
if( line_type < CV_AA )
if( line_type < cv::LINE_AA )
delta1 = delta2 = XY_ONE >> 1;
else
delta1 = XY_ONE - 1, delta2 = 0;
@ -1181,7 +1181,7 @@ FillConvexPoly( Mat& img, const Point2l* v, int npts, const void* color, int lin
do
{
if( line_type < CV_AA || y < (int)ymax || y == (int)ymin )
if( line_type < cv::LINE_AA || y < (int)ymax || y == (int)ymin )
{
for( i = 0; i < 2; i++ )
{
@ -1277,7 +1277,7 @@ CollectPolyEdges( Mat& img, const Point2l* v, int count, std::vector<PolyEdge>&
pt1.x = (pt1.x + offset.x) << (XY_SHIFT - shift);
pt1.y = (pt1.y + delta) >> shift;
if( line_type < CV_AA )
if( line_type < cv::LINE_AA )
{
t0.y = pt0.y; t1.y = pt1.y;
t0.x = (pt0.x + (XY_ONE >> 1)) >> XY_SHIFT;
@ -1632,7 +1632,7 @@ ThickLine( Mat& img, Point2l p0, Point2l p1, const void* color,
if( thickness <= 1 )
{
if( line_type < CV_AA )
if( line_type < cv::LINE_AA )
{
if( line_type == 1 || line_type == 4 || shift == 0 )
{
@ -1678,7 +1678,7 @@ ThickLine( Mat& img, Point2l p0, Point2l p1, const void* color,
{
if( flags & (i+1) )
{
if( line_type < CV_AA )
if( line_type < cv::LINE_AA )
{
Point center;
center.x = (int)((p0.x + (XY_ONE>>1)) >> XY_SHIFT);
@ -1796,7 +1796,7 @@ void line( InputOutputArray _img, Point pt1, Point pt2, const Scalar& color,
Mat img = _img.getMat();
if( line_type == CV_AA && img.depth() != CV_8U )
if( line_type == cv::LINE_AA && img.depth() != CV_8U )
line_type = 8;
CV_Assert( 0 < thickness && thickness <= MAX_THICKNESS );
@ -1835,7 +1835,7 @@ void rectangle( InputOutputArray _img, Point pt1, Point pt2,
Mat img = _img.getMat();
if( lineType == CV_AA && img.depth() != CV_8U )
if( lineType == cv::LINE_AA && img.depth() != CV_8U )
lineType = 8;
CV_Assert( thickness <= MAX_THICKNESS );
@ -1885,7 +1885,7 @@ void circle( InputOutputArray _img, Point center, int radius,
Mat img = _img.getMat();
if( line_type == CV_AA && img.depth() != CV_8U )
if( line_type == cv::LINE_AA && img.depth() != CV_8U )
line_type = 8;
CV_Assert( radius >= 0 && thickness <= MAX_THICKNESS &&
@ -1917,7 +1917,7 @@ void ellipse( InputOutputArray _img, Point center, Size axes,
Mat img = _img.getMat();
if( line_type == CV_AA && img.depth() != CV_8U )
if( line_type == cv::LINE_AA && img.depth() != CV_8U )
line_type = 8;
CV_Assert( axes.width >= 0 && axes.height >= 0 &&
@ -1947,7 +1947,7 @@ void ellipse(InputOutputArray _img, const RotatedRect& box, const Scalar& color,
Mat img = _img.getMat();
if( lineType == CV_AA && img.depth() != CV_8U )
if( lineType == cv::LINE_AA && img.depth() != CV_8U )
lineType = 8;
CV_Assert( box.size.width >= 0 && box.size.height >= 0 &&
@ -1978,7 +1978,7 @@ void fillConvexPoly( InputOutputArray _img, const Point* pts, int npts,
if( !pts || npts <= 0 )
return;
if( line_type == CV_AA && img.depth() != CV_8U )
if( line_type == cv::LINE_AA && img.depth() != CV_8U )
line_type = 8;
double buf[4];
@ -1996,7 +1996,7 @@ void fillPoly( InputOutputArray _img, const Point** pts, const int* npts, int nc
Mat img = _img.getMat();
if( line_type == CV_AA && img.depth() != CV_8U )
if( line_type == cv::LINE_AA && img.depth() != CV_8U )
line_type = 8;
CV_Assert( pts && npts && ncontours >= 0 && 0 <= shift && shift <= XY_SHIFT );
@ -2027,7 +2027,7 @@ void polylines( InputOutputArray _img, const Point* const* pts, const int* npts,
Mat img = _img.getMat();
if( line_type == CV_AA && img.depth() != CV_8U )
if( line_type == cv::LINE_AA && img.depth() != CV_8U )
line_type = 8;
CV_Assert( pts && npts && ncontours >= 0 &&
@ -2572,7 +2572,7 @@ cvDrawContours( void* _img, CvSeq* contour,
cv::Point offset = _offset;
double ext_buf[4], hole_buf[4];
if( line_type == CV_AA && img.depth() != CV_8U )
if( line_type == cv::LINE_AA && img.depth() != CV_8U )
line_type = 8;
if( !contour )

24
modules/imgproc/src/linefit.cpp
Unescape View File

@ -331,26 +331,26 @@ static void fitLine2D( const Point2f * points, int count, int dist,
switch (dist)
{
case CV_DIST_L2:
case cv::DIST_L2:
return fitLine2D_wods( points, count, 0, line );
case CV_DIST_L1:
case cv::DIST_L1:
calc_weights = weightL1;
break;
case CV_DIST_L12:
case cv::DIST_L12:
calc_weights = weightL12;
break;
case CV_DIST_FAIR:
case cv::DIST_FAIR:
calc_weights_param = weightFair;
break;
case CV_DIST_WELSCH:
case cv::DIST_WELSCH:
calc_weights_param = weightWelsch;
break;
case CV_DIST_HUBER:
case cv::DIST_HUBER:
calc_weights_param = weightHuber;
break;
@ -475,26 +475,26 @@ static void fitLine3D( Point3f * points, int count, int dist,
switch (dist)
{
case CV_DIST_L2:
case cv::DIST_L2:
return fitLine3D_wods( points, count, 0, line );
case CV_DIST_L1:
case cv::DIST_L1:
calc_weights = weightL1;
break;
case CV_DIST_L12:
case cv::DIST_L12:
calc_weights = weightL12;
break;
case CV_DIST_FAIR:
case cv::DIST_FAIR:
calc_weights_param = weightFair;
break;
case CV_DIST_WELSCH:
case cv::DIST_WELSCH:
calc_weights_param = weightWelsch;
break;
case CV_DIST_HUBER:
case cv::DIST_HUBER:
calc_weights_param = weightHuber;
break;

2
modules/imgproc/src/segmentation.cpp
Unescape View File

@ -394,7 +394,6 @@ void cv::pyrMeanShiftFiltering( InputArray _src, OutputArray _dst,
dst_pyramid[level].create( src_pyramid[level].rows,
src_pyramid[level].cols, src_pyramid[level].type() );
cv::pyrDown( src_pyramid[level-1], src_pyramid[level], src_pyramid[level].size() );
//CV_CALL( cvResize( src_pyramid[level-1], src_pyramid[level], CV_INTER_AREA ));
}
mask0.create(src0.rows, src0.cols, CV_8UC1);
@ -419,7 +418,6 @@ void cv::pyrMeanShiftFiltering( InputArray _src, OutputArray _dst,
m = cv::Mat(size.height, size.width, CV_8UC1, mask0.ptr());
dstep = (int)dst_pyramid[level+1].step;
dptr = dst_pyramid[level+1].ptr() + dstep + cn;
//cvResize( dst_pyramid[level+1], dst_pyramid[level], CV_INTER_CUBIC );
cv::pyrUp( dst_pyramid[level+1], dst_pyramid[level], dst_pyramid[level].size() );
m.setTo(cv::Scalar::all(0));

54
modules/imgproc/src/templmatch.cpp
Unescape View File

@ -315,7 +315,7 @@ static bool matchTemplate_CCORR(InputArray _image, InputArray _templ, OutputArra
static bool matchTemplate_CCORR_NORMED(InputArray _image, InputArray _templ, OutputArray _result)
{
matchTemplate(_image, _templ, _result, CV_TM_CCORR);
matchTemplate(_image, _templ, _result, cv::TM_CCORR);
int type = _image.type(), cn = CV_MAT_CN(type);
@ -373,7 +373,7 @@ static bool matchTemplate_SQDIFF(InputArray _image, InputArray _templ, OutputArr
return( matchTemplateNaive_SQDIFF(_image, _templ, _result));
else
{
matchTemplate(_image, _templ, _result, CV_TM_CCORR);
matchTemplate(_image, _templ, _result, cv::TM_CCORR);
int type = _image.type(), cn = CV_MAT_CN(type);
@ -404,7 +404,7 @@ static bool matchTemplate_SQDIFF(InputArray _image, InputArray _templ, OutputArr
static bool matchTemplate_SQDIFF_NORMED(InputArray _image, InputArray _templ, OutputArray _result)
{
matchTemplate(_image, _templ, _result, CV_TM_CCORR);
matchTemplate(_image, _templ, _result, cv::TM_CCORR);
int type = _image.type(), cn = CV_MAT_CN(type);
@ -436,7 +436,7 @@ static bool matchTemplate_SQDIFF_NORMED(InputArray _image, InputArray _templ, Ou
static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArray _result)
{
matchTemplate(_image, _templ, _result, CV_TM_CCORR);
matchTemplate(_image, _templ, _result, cv::TM_CCORR);
UMat image_sums, temp;
integral(_image, image_sums, CV_32F);
@ -471,7 +471,7 @@ static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArr
static bool matchTemplate_CCOEFF_NORMED(InputArray _image, InputArray _templ, OutputArray _result)
{
matchTemplate(_image, _templ, _result, CV_TM_CCORR);
matchTemplate(_image, _templ, _result, cv::TM_CCORR);
UMat temp, image_sums, image_sqsums;
integral(_image, image_sums, image_sqsums, CV_32F, CV_32F);
@ -796,7 +796,7 @@ static void matchTemplateMask( InputArray _img, InputArray _templ, OutputArray _
merge(maskChannels.data(), templ.channels(), mask);
}
if (method == CV_TM_SQDIFF || method == CV_TM_SQDIFF_NORMED)
if (method == cv::TM_SQDIFF || method == cv::TM_SQDIFF_NORMED)
{
Mat temp_result(corrSize, CV_32F);
Mat img2 = img.mul(img);
@ -810,19 +810,19 @@ static void matchTemplateMask( InputArray _img, InputArray _templ, OutputArray _
// for normalization.
result = -2 * result + temp_result + templ2_mask2_sum;
if (method == CV_TM_SQDIFF_NORMED)
if (method == cv::TM_SQDIFF_NORMED)
{
sqrt(templ2_mask2_sum * temp_result, temp_result);
result /= temp_result;
}
}
else if (method == CV_TM_CCORR || method == CV_TM_CCORR_NORMED)
else if (method == cv::TM_CCORR || method == cv::TM_CCORR_NORMED)
{
// If the mul() is ever unnested, declare MatExpr, *not* Mat, to be more efficient.
Mat templ_mask2 = templ.mul(mask.mul(mask));
crossCorr(img, templ_mask2, result, Point(0,0), 0, 0);
if (method == CV_TM_CCORR_NORMED)
if (method == cv::TM_CCORR_NORMED)
{
Mat temp_result(corrSize, CV_32F);
Mat img2 = img.mul(img);
@ -834,7 +834,7 @@ static void matchTemplateMask( InputArray _img, InputArray _templ, OutputArray _
result /= temp_result;
}
}
else if (method == CV_TM_CCOEFF || method == CV_TM_CCOEFF_NORMED)
else if (method == cv::TM_CCOEFF || method == cv::TM_CCOEFF_NORMED)
{
// Do mul() inline or declare MatExpr where possible, *not* Mat, to be more efficient.
@ -864,7 +864,7 @@ static void matchTemplateMask( InputArray _img, InputArray _templ, OutputArray _
// transform back, but now with only one channel
result -= temp_res.reshape(1, result.rows);
}
if (method == CV_TM_CCOEFF_NORMED)
if (method == cv::TM_CCOEFF_NORMED)
{
// norm(T')
double norm_templx = norm(mask.mul(templ - sum(mask.mul(templ)).div(mask_sum)),
@ -905,14 +905,14 @@ static void matchTemplateMask( InputArray _img, InputArray _templ, OutputArray _
static void common_matchTemplate( Mat& img, Mat& templ, Mat& result, int method, int cn )
{
if( method == CV_TM_CCORR )
if( method == cv::TM_CCORR )
return;
int numType = method == CV_TM_CCORR || method == CV_TM_CCORR_NORMED ? 0 :
method == CV_TM_CCOEFF || method == CV_TM_CCOEFF_NORMED ? 1 : 2;
bool isNormed = method == CV_TM_CCORR_NORMED ||
method == CV_TM_SQDIFF_NORMED ||
method == CV_TM_CCOEFF_NORMED;
int numType = method == cv::TM_CCORR || method == cv::TM_CCORR_NORMED ? 0 :
method == cv::TM_CCOEFF || method == cv::TM_CCOEFF_NORMED ? 1 : 2;
bool isNormed = method == cv::TM_CCORR_NORMED ||
method == cv::TM_SQDIFF_NORMED ||
method == cv::TM_CCOEFF_NORMED;
double invArea = 1./((double)templ.rows * templ.cols);
@ -921,7 +921,7 @@ static void common_matchTemplate( Mat& img, Mat& templ, Mat& result, int method,
double *q0 = 0, *q1 = 0, *q2 = 0, *q3 = 0;
double templNorm = 0, templSum2 = 0;
if( method == CV_TM_CCOEFF )
if( method == cv::TM_CCOEFF )
{
integral(img, sum, CV_64F);
templMean = mean(templ);
@ -933,7 +933,7 @@ static void common_matchTemplate( Mat& img, Mat& templ, Mat& result, int method,
templNorm = templSdv[0]*templSdv[0] + templSdv[1]*templSdv[1] + templSdv[2]*templSdv[2] + templSdv[3]*templSdv[3];
if( templNorm < DBL_EPSILON && method == CV_TM_CCOEFF_NORMED )
if( templNorm < DBL_EPSILON && method == cv::TM_CCOEFF_NORMED )
{
result = Scalar::all(1);
return;
@ -1020,7 +1020,7 @@ static void common_matchTemplate( Mat& img, Mat& templ, Mat& result, int method,
else if( fabs(num) < t*1.125 )
num = num > 0 ? 1 : -1;
else
num = method != CV_TM_SQDIFF_NORMED ? 0 : 1;
num = method != cv::TM_SQDIFF_NORMED ? 0 : 1;
}
rrow[j] = (float)num;
@ -1116,30 +1116,30 @@ static bool ipp_matchTemplate( Mat& img, Mat& templ, Mat& result, int method)
if(templ.size().area()*4 > img.size().area())
return false;
if(method == CV_TM_SQDIFF)
if(method == cv::TM_SQDIFF)
{
if(ipp_sqrDistance(img, templ, result))
return true;
}
else if(method == CV_TM_SQDIFF_NORMED)
else if(method == cv::TM_SQDIFF_NORMED)
{
if(ipp_crossCorr(img, templ, result, false))
{
common_matchTemplate(img, templ, result, CV_TM_SQDIFF_NORMED, 1);
common_matchTemplate(img, templ, result, cv::TM_SQDIFF_NORMED, 1);
return true;
}
}
else if(method == CV_TM_CCORR)
else if(method == cv::TM_CCORR)
{
if(ipp_crossCorr(img, templ, result, false))
return true;
}
else if(method == CV_TM_CCORR_NORMED)
else if(method == cv::TM_CCORR_NORMED)
{
if(ipp_crossCorr(img, templ, result, true))
return true;
}
else if(method == CV_TM_CCOEFF || method == CV_TM_CCOEFF_NORMED)
else if(method == cv::TM_CCOEFF || method == cv::TM_CCOEFF_NORMED)
{
if(ipp_crossCorr(img, templ, result, false))
{
@ -1160,7 +1160,7 @@ void cv::matchTemplate( InputArray _img, InputArray _templ, OutputArray _result,
CV_INSTRUMENT_REGION();
int type = _img.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
CV_Assert( CV_TM_SQDIFF <= method && method <= CV_TM_CCOEFF_NORMED );
CV_Assert( cv::TM_SQDIFF <= method && method <= cv::TM_CCOEFF_NORMED );
CV_Assert( (depth == CV_8U || depth == CV_32F) && type == _templ.type() && _img.dims() <= 2 );
if (!_mask.empty())

2
modules/imgproc/test/ocl/test_match_template.cpp
Unescape View File

@ -51,7 +51,7 @@ namespace ocl {
///////////////////////////////////////////// matchTemplate //////////////////////////////////////////////////////////
CV_ENUM(MatchTemplType, CV_TM_CCORR, CV_TM_CCORR_NORMED, CV_TM_SQDIFF, CV_TM_SQDIFF_NORMED, CV_TM_CCOEFF, CV_TM_CCOEFF_NORMED)
CV_ENUM(MatchTemplType, cv::TM_CCORR, cv::TM_CCORR_NORMED, cv::TM_SQDIFF, cv::TM_SQDIFF_NORMED, cv::TM_CCOEFF, cv::TM_CCOEFF_NORMED)
PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, MatchTemplType, bool)
{

2
modules/imgproc/test/test_canny.cpp
Unescape View File

@ -160,7 +160,7 @@ void CV_CannyTest::run_func()
{
cv::Mat _out = cv::cvarrToMat(test_array[OUTPUT][0]);
cv::Canny(cv::cvarrToMat(test_array[INPUT][0]), _out, threshold1, threshold2,
aperture_size + (use_true_gradient ? CV_CANNY_L2_GRADIENT : 0));
aperture_size, use_true_gradient);
}
}

46
modules/imgproc/test/test_drawing.cpp
Unescape View File

@ -128,7 +128,7 @@ void CV_DrawingTest_CPP::draw( Mat& img )
p2 = Point(3,imgSize.height+1000);
if( clipLine(Rect(0,0,imgSize.width,imgSize.height), p1, p2) && clipLine(imgSize, p1, p2) )
circle( img, Point(500,300), 50, cvColorToScalar(255,CV_8UC3), 5, 8, 1 ); // draw
circle( img, Point(500,300), 50, Scalar(255, 0, 0), 5, 8, 1 ); // draw
p1 = Point(imgSize.width,1), p2 = Point(imgSize.width,3);
if( clipLine(Rect(0,0,imgSize.width,imgSize.height), p1, p2) && clipLine(imgSize, p1, p2) )
@ -144,7 +144,7 @@ void CV_DrawingTest_CPP::draw( Mat& img )
ellipse2Poly( Point(430,180), Size(100,150), 30, 0, 150, 20, polyline );
pts = &polyline[0];
n = (int)polyline.size();
polylines( img, &pts, &n, 1, false, Scalar(0,0,150), 4, CV_AA );
polylines( img, &pts, &n, 1, false, Scalar(0,0,150), 4, cv::LINE_AA );
n = 0;
for( vector<Point>::const_iterator it = polyline.begin(); n < (int)polyline.size()-1; ++it, n++ )
{
@ -192,43 +192,43 @@ void CV_DrawingTest_CPP::draw( Mat& img )
textSize = getTextSize( text2, FONT_HERSHEY_SIMPLEX, fontScale, thickness, &baseline);
textOrg = Point(5,5)+Point(0,textSize.height+dist);
putText(img, text2, textOrg, FONT_HERSHEY_SIMPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_SIMPLEX, fontScale, color, thickness, cv::LINE_AA);
fontScale = 1;
textSize = getTextSize( text2, FONT_HERSHEY_PLAIN, fontScale, thickness, &baseline);
textOrg += Point(0,textSize.height+dist);
putText(img, text2, textOrg, FONT_HERSHEY_PLAIN, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_PLAIN, fontScale, color, thickness, cv::LINE_AA);
fontScale = 0.5;
textSize = getTextSize( text2, FONT_HERSHEY_DUPLEX, fontScale, thickness, &baseline);
textOrg += Point(0,textSize.height+dist);
putText(img, text2, textOrg, FONT_HERSHEY_DUPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_DUPLEX, fontScale, color, thickness, cv::LINE_AA);
textSize = getTextSize( text2, FONT_HERSHEY_COMPLEX, fontScale, thickness, &baseline);
textOrg += Point(0,textSize.height+dist);
putText(img, text2, textOrg, FONT_HERSHEY_COMPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_COMPLEX, fontScale, color, thickness, cv::LINE_AA);
textSize = getTextSize( text2, FONT_HERSHEY_TRIPLEX, fontScale, thickness, &baseline);
textOrg += Point(0,textSize.height+dist);
putText(img, text2, textOrg, FONT_HERSHEY_TRIPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_TRIPLEX, fontScale, color, thickness, cv::LINE_AA);
fontScale = 1;
textSize = getTextSize( text2, FONT_HERSHEY_COMPLEX_SMALL, fontScale, thickness, &baseline);
textOrg += Point(0,180) + Point(0,textSize.height+dist);
putText(img, text2, textOrg, FONT_HERSHEY_COMPLEX_SMALL, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_COMPLEX_SMALL, fontScale, color, thickness, cv::LINE_AA);
textSize = getTextSize( text2, FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, thickness, &baseline);
textOrg += Point(0,textSize.height+dist);
putText(img, text2, textOrg, FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, color, thickness, cv::LINE_AA);
textSize = getTextSize( text2, FONT_HERSHEY_SCRIPT_COMPLEX, fontScale, thickness, &baseline);
textOrg += Point(0,textSize.height+dist);
putText(img, text2, textOrg, FONT_HERSHEY_SCRIPT_COMPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_SCRIPT_COMPLEX, fontScale, color, thickness, cv::LINE_AA);
dist = 15, fontScale = 0.5;
textSize = getTextSize( text2, FONT_ITALIC, fontScale, thickness, &baseline);
textOrg += Point(0,textSize.height+dist);
putText(img, text2, textOrg, FONT_ITALIC, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_ITALIC, fontScale, color, thickness, cv::LINE_AA);
}
int CV_DrawingTest_CPP::checkLineIterator( Mat& img )
@ -321,7 +321,7 @@ void CV_DrawingTest_Far::draw(Mat& img)
p2 = Point(32768 + 3, imgSize.height + 1000);
if (clipLine(Rect(32768 + 0, 0, imgSize.width, imgSize.height), p1, p2) && clipLine(imgSize, p1, p2))
circle(img, Point(65536 + 500, 300), 50, cvColorToScalar(255, CV_8UC3), 5, 8, 1); // draw
circle(img, Point(65536 + 500, 300), 50, Scalar(255, 0, 0), 5, 8, 1); // draw
p1 = Point(imgSize.width, 1), p2 = Point(imgSize.width, 3);
if (clipLine(Rect(32768 + 0, 0, imgSize.width, imgSize.height), p1, p2) && clipLine(imgSize, p1, p2))
@ -337,7 +337,7 @@ void CV_DrawingTest_Far::draw(Mat& img)
ellipse2Poly(Point(32768 + 430, 180), Size(100, 150), 30, 0, 150, 20, polyline);
pts = &polyline[0];
n = (int)polyline.size();
polylines(img, &pts, &n, 1, false, Scalar(0, 0, 150), 4, CV_AA);
polylines(img, &pts, &n, 1, false, Scalar(0, 0, 150), 4, cv::LINE_AA);
n = 0;
for (vector<Point>::const_iterator it = polyline.begin(); n < (int)polyline.size() - 1; ++it, n++)
{
@ -385,43 +385,43 @@ void CV_DrawingTest_Far::draw(Mat& img)
textSize = getTextSize(text2, FONT_HERSHEY_SIMPLEX, fontScale, thickness, &baseline);
textOrg = Point(32768 + 5, 5) + Point(0, textSize.height + dist);
putText(img, text2, textOrg, FONT_HERSHEY_SIMPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_SIMPLEX, fontScale, color, thickness, cv::LINE_AA);
fontScale = 1;
textSize = getTextSize(text2, FONT_HERSHEY_PLAIN, fontScale, thickness, &baseline);
textOrg += Point(0, textSize.height + dist);
putText(img, text2, textOrg, FONT_HERSHEY_PLAIN, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_PLAIN, fontScale, color, thickness, cv::LINE_AA);
fontScale = 0.5;
textSize = getTextSize(text2, FONT_HERSHEY_DUPLEX, fontScale, thickness, &baseline);
textOrg += Point(0, textSize.height + dist);
putText(img, text2, textOrg, FONT_HERSHEY_DUPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_DUPLEX, fontScale, color, thickness, cv::LINE_AA);
textSize = getTextSize(text2, FONT_HERSHEY_COMPLEX, fontScale, thickness, &baseline);
textOrg += Point(0, textSize.height + dist);
putText(img, text2, textOrg, FONT_HERSHEY_COMPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_COMPLEX, fontScale, color, thickness, cv::LINE_AA);
textSize = getTextSize(text2, FONT_HERSHEY_TRIPLEX, fontScale, thickness, &baseline);
textOrg += Point(0, textSize.height + dist);
putText(img, text2, textOrg, FONT_HERSHEY_TRIPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_TRIPLEX, fontScale, color, thickness, cv::LINE_AA);
fontScale = 1;
textSize = getTextSize(text2, FONT_HERSHEY_COMPLEX_SMALL, fontScale, thickness, &baseline);
textOrg += Point(0, 180) + Point(0, textSize.height + dist);
putText(img, text2, textOrg, FONT_HERSHEY_COMPLEX_SMALL, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_COMPLEX_SMALL, fontScale, color, thickness, cv::LINE_AA);
textSize = getTextSize(text2, FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, thickness, &baseline);
textOrg += Point(0, textSize.height + dist);
putText(img, text2, textOrg, FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, color, thickness, cv::LINE_AA);
textSize = getTextSize(text2, FONT_HERSHEY_SCRIPT_COMPLEX, fontScale, thickness, &baseline);
textOrg += Point(0, textSize.height + dist);
putText(img, text2, textOrg, FONT_HERSHEY_SCRIPT_COMPLEX, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_HERSHEY_SCRIPT_COMPLEX, fontScale, color, thickness, cv::LINE_AA);
dist = 15, fontScale = 0.5;
textSize = getTextSize(text2, FONT_ITALIC, fontScale, thickness, &baseline);
textOrg += Point(0, textSize.height + dist);
putText(img, text2, textOrg, FONT_ITALIC, fontScale, color, thickness, CV_AA);
putText(img, text2, textOrg, FONT_ITALIC, fontScale, color, thickness, cv::LINE_AA);
img = img(Rect(32768, 0, 600, 400)).clone();
}
@ -517,7 +517,7 @@ protected:
Size textSize = getTextSize(*line, *font | italic, fontScale, thickness, &baseline);
Point textOrg(0, textSize.height + 2);
Mat img(textSize + Size(0, baseline), CV_8UC3, Scalar(255, 255, 255));
putText(img, *line, textOrg, *font | italic, fontScale, color, thickness, CV_AA);
putText(img, *line, textOrg, *font | italic, fontScale, color, thickness, cv::LINE_AA);
results.push_back(img);
bigSize.width = max(bigSize.width, img.size().width);

2
modules/imgproc/test/test_houghcircles.cpp
Unescape View File

@ -123,7 +123,7 @@ public:
vector<CircleType> circles;
const double dp = 1.0;
HoughCircles(src, circles, CV_HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
HoughCircles(src, circles, cv::HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
string imgProc = string(cvtest::TS::ptr()->get_data_path()) + "imgproc/";
#if DEBUG_IMAGES

20
modules/imgproc/test/test_imgwarp_strict.cpp
Unescape View File

@ -163,7 +163,7 @@ void CV_ImageWarpBaseTest::generate_test_data()
for (y = 0; y < ssize.height; y += cell_size)
for (x = 0; x < ssize.width; x += cell_size)
rectangle(src, Point(x, y), Point(x + std::min<int>(cell_size, ssize.width - x), y +
std::min<int>(cell_size, ssize.height - y)), Scalar::all((x + y) % 2 ? 255: 0), CV_FILLED);
std::min<int>(cell_size, ssize.height - y)), Scalar::all((x + y) % 2 ? 255: 0), cv::FILLED);
}
else
{
@ -175,7 +175,7 @@ void CV_ImageWarpBaseTest::generate_test_data()
}
// generating an interpolation type
interpolation = rng.uniform(0, CV_INTER_LANCZOS4 + 1);
interpolation = rng.uniform(0, cv::INTER_LANCZOS4 + 1);
// generating the dst matrix structure
double scale_x, scale_y;
@ -288,10 +288,10 @@ void CV_ImageWarpBaseTest::validate_results() const
#ifdef SHOW_IMAGE
const std::string w1("OpenCV impl (run func)"), w2("Reference func"), w3("Src image"), w4("Diff");
namedWindow(w1, CV_WINDOW_KEEPRATIO);
namedWindow(w2, CV_WINDOW_KEEPRATIO);
namedWindow(w3, CV_WINDOW_KEEPRATIO);
namedWindow(w4, CV_WINDOW_KEEPRATIO);
namedWindow(w1, cv::WINDOW_KEEPRATIO);
namedWindow(w2, cv::WINDOW_KEEPRATIO);
namedWindow(w3, cv::WINDOW_KEEPRATIO);
namedWindow(w4, cv::WINDOW_KEEPRATIO);
Mat diff;
absdiff(reference_dst, _dst, diff);
@ -442,7 +442,7 @@ void CV_Resize_Test::generate_test_data()
for (y = 0; y < ssize.height; y += cell_size)
for (x = 0; x < ssize.width; x += cell_size)
rectangle(src, Point(x, y), Point(x + std::min<int>(cell_size, ssize.width - x), y +
std::min<int>(cell_size, ssize.height - y)), Scalar::all((x + y) % 2 ? 255: 0), CV_FILLED);
std::min<int>(cell_size, ssize.height - y)), Scalar::all((x + y) % 2 ? 255: 0), cv::FILLED);
}
else
{
@ -1082,7 +1082,7 @@ void CV_WarpAffine_Test::generate_test_data()
// warp_matrix is inverse
if (rng.uniform(0., 1.) > 0)
interpolation |= CV_WARP_INVERSE_MAP;
interpolation |= cv::WARP_INVERSE_MAP;
}
void CV_WarpAffine_Test::run_func()
@ -1123,7 +1123,7 @@ void CV_WarpAffine_Test::warpAffine(const Mat& _src, Mat& _dst)
else
mapy = Mat();
if (!(interpolation & CV_WARP_INVERSE_MAP))
if (!(interpolation & cv::WARP_INVERSE_MAP))
invertAffineTransform(tM.clone(), tM);
const int AB_BITS = MAX(10, (int)INTER_BITS);
@ -1239,7 +1239,7 @@ void CV_WarpPerspective_Test::warpPerspective(const Mat& _src, Mat& _dst)
M = tmp;
}
if (!(interpolation & CV_WARP_INVERSE_MAP))
if (!(interpolation & cv::WARP_INVERSE_MAP))
{
Mat tmp;
invert(M, tmp);

4
modules/imgproc/test/test_pc.cpp
Unescape View File

@ -66,8 +66,8 @@ void CV_PhaseCorrelatorTest::run( int )
double expectedShiftY = -20.0;
// draw 10x10 rectangles @ (100, 100) and (90, 80) should see ~(-10, -20) shift here...
cv::rectangle(r1, Point(100, 100), Point(110, 110), Scalar(0, 0, 0), CV_FILLED);
cv::rectangle(r2, Point(90, 80), Point(100, 90), Scalar(0, 0, 0), CV_FILLED);
cv::rectangle(r1, Point(100, 100), Point(110, 110), Scalar(0, 0, 0), cv::FILLED);
cv::rectangle(r2, Point(90, 80), Point(100, 90), Scalar(0, 0, 0), cv::FILLED);
Mat hann;
createHanningWindow(hann, r1.size(), CV_64F);

28
modules/imgproc/test/test_templmatch.cpp
Unescape View File

@ -125,7 +125,7 @@ void CV_TemplMatchTest::get_test_array_types_and_sizes( int test_case_idx,
double CV_TemplMatchTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
if( test_mat[INPUT][1].depth() == CV_8U ||
(method >= CV_TM_CCOEFF && test_mat[INPUT][1].cols*test_mat[INPUT][1].rows <= 2) )
(method >= cv::TM_CCOEFF && test_mat[INPUT][1].cols*test_mat[INPUT][1].rows <= 2) )
return 1e-2;
else
return 1e-3;
@ -162,7 +162,7 @@ static void cvTsMatchTemplate( const CvMat* img, const CvMat* templ, CvMat* resu
if( b_sdv.val[0]*b_sdv.val[0] + b_sdv.val[1]*b_sdv.val[1] +
b_sdv.val[2]*b_sdv.val[2] + b_sdv.val[3]*b_sdv.val[3] < DBL_EPSILON &&
method == CV_TM_CCOEFF_NORMED )
method == cv::TM_CCOEFF_NORMED )
{
cvSet( result, cvScalarAll(1.) );
return;
@ -171,7 +171,7 @@ static void cvTsMatchTemplate( const CvMat* img, const CvMat* templ, CvMat* resu
if( method & 1 )
{
b_denom = 0;
if( method != CV_TM_CCOEFF_NORMED )
if( method != cv::TM_CCOEFF_NORMED )
{
b_denom = b_sum2;
}
@ -185,7 +185,7 @@ static void cvTsMatchTemplate( const CvMat* img, const CvMat* templ, CvMat* resu
b_denom = 1.;
}
CV_Assert( CV_TM_SQDIFF <= method && method <= CV_TM_CCOEFF_NORMED );
CV_Assert( cv::TM_SQDIFF <= method && method <= cv::TM_CCOEFF_NORMED );
for( i = 0; i < result->rows; i++ )
{
@ -200,7 +200,7 @@ static void cvTsMatchTemplate( const CvMat* img, const CvMat* templ, CvMat* resu
const uchar* a = img->data.ptr + i*img->step + j*cn;
const uchar* b = templ->data.ptr;
if( cn == 1 || method < CV_TM_CCOEFF )
if( cn == 1 || method < cv::TM_CCOEFF )
{
for( k = 0; k < height; k++, a += a_step, b += b_step )
for( l = 0; l < width_n; l++ )
@ -232,7 +232,7 @@ static void cvTsMatchTemplate( const CvMat* img, const CvMat* templ, CvMat* resu
const float* a = (const float*)(img->data.ptr + i*img->step) + j*cn;
const float* b = (const float*)templ->data.ptr;
if( cn == 1 || method < CV_TM_CCOEFF )
if( cn == 1 || method < cv::TM_CCOEFF )
{
for( k = 0; k < height; k++, a += a_step, b += b_step )
for( l = 0; l < width_n; l++ )
@ -262,12 +262,12 @@ static void cvTsMatchTemplate( const CvMat* img, const CvMat* templ, CvMat* resu
switch( method )
{
case CV_TM_CCORR:
case CV_TM_CCORR_NORMED:
case cv::TM_CCORR:
case cv::TM_CCORR_NORMED:
value = ccorr.val[0];
break;
case CV_TM_SQDIFF:
case CV_TM_SQDIFF_NORMED:
case cv::TM_SQDIFF:
case cv::TM_SQDIFF_NORMED:
value = (a_sum2.val[0] + b_sum2 - 2*ccorr.val[0]);
break;
default:
@ -281,7 +281,7 @@ static void cvTsMatchTemplate( const CvMat* img, const CvMat* templ, CvMat* resu
double denom;
// calc denominator
if( method != CV_TM_CCOEFF_NORMED )
if( method != cv::TM_CCOEFF_NORMED )
{
denom = a_sum2.val[0] + a_sum2.val[1] + a_sum2.val[2];
}
@ -297,7 +297,7 @@ static void cvTsMatchTemplate( const CvMat* img, const CvMat* templ, CvMat* resu
else if( fabs(value) < denom*1.125 )
value = value > 0 ? 1 : -1;
else
value = method != CV_TM_SQDIFF_NORMED ? 0 : 1;
value = method != cv::TM_SQDIFF_NORMED ? 0 : 1;
}
((float*)(result->data.ptr + result->step*i))[j] = (float)value;
@ -323,7 +323,7 @@ void CV_TemplMatchTest::prepare_to_validation( int /*test_case_idx*/ )
cvReleaseFileStorage( &fs );
}*/
if( method >= CV_TM_CCOEFF )
if( method >= cv::TM_CCOEFF )
{
// avoid numerical stability problems in singular cases (when the results are near to 0)
const double delta = 10.;
@ -420,7 +420,7 @@ TEST(Imgproc_MatchTemplate, bug_9597) {
cv::Mat cvimg(cv::Size(61, 82), CV_8UC1, (void*)img, cv::Mat::AUTO_STEP);
cv::Mat cvtmpl(cv::Size(17, 17), CV_8UC1, (void*)tmpl, cv::Mat::AUTO_STEP);
cv::Mat result;
cv::matchTemplate(cvimg, cvtmpl, result, CV_TM_SQDIFF);
cv::matchTemplate(cvimg, cvtmpl, result, cv::TM_SQDIFF);
double minValue;
cv::minMaxLoc(result, &minValue, NULL, NULL, NULL);
ASSERT_GE(minValue, 0);

26
modules/imgproc/test/test_templmatchmask.cpp
Unescape View File

@ -6,9 +6,9 @@
namespace opencv_test { namespace {
CV_ENUM(MatchTemplType, CV_TM_CCORR, CV_TM_CCORR_NORMED,
CV_TM_SQDIFF, CV_TM_SQDIFF_NORMED,
CV_TM_CCOEFF, CV_TM_CCOEFF_NORMED)
CV_ENUM(MatchTemplType, cv::TM_CCORR, cv::TM_CCORR_NORMED,
cv::TM_SQDIFF, cv::TM_SQDIFF_NORMED,
cv::TM_CCOEFF, cv::TM_CCOEFF_NORMED)
class Imgproc_MatchTemplateWithMask : public TestWithParam<std::tuple<MatType,MatType>>
{
@ -76,7 +76,7 @@ void Imgproc_MatchTemplateWithMask::SetUp()
TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplSQDIFF)
{
matchTemplate(img_testtype_, templ_testtype_, result_, CV_TM_SQDIFF, mask_testtype_);
matchTemplate(img_testtype_, templ_testtype_, result_, cv::TM_SQDIFF, mask_testtype_);
// Naive implementation for one point
Mat temp = img_roi_masked_ - templ_masked_;
Scalar temp_s = sum(temp.mul(temp));
@ -87,7 +87,7 @@ TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplSQDIFF)
TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplSQDIFF_NORMED)
{
matchTemplate(img_testtype_, templ_testtype_, result_, CV_TM_SQDIFF_NORMED, mask_testtype_);
matchTemplate(img_testtype_, templ_testtype_, result_, cv::TM_SQDIFF_NORMED, mask_testtype_);
// Naive implementation for one point
Mat temp = img_roi_masked_ - templ_masked_;
Scalar temp_s = sum(temp.mul(temp));
@ -106,7 +106,7 @@ TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplSQDIFF_NORMED)
TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplCCORR)
{
matchTemplate(img_testtype_, templ_testtype_, result_, CV_TM_CCORR, mask_testtype_);
matchTemplate(img_testtype_, templ_testtype_, result_, cv::TM_CCORR, mask_testtype_);
// Naive implementation for one point
Scalar temp_s = sum(templ_masked_.mul(img_roi_masked_));
double val = temp_s[0] + temp_s[1] + temp_s[2] + temp_s[3];
@ -116,7 +116,7 @@ TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplCCORR)
TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplCCORR_NORMED)
{
matchTemplate(img_testtype_, templ_testtype_, result_, CV_TM_CCORR_NORMED, mask_testtype_);
matchTemplate(img_testtype_, templ_testtype_, result_, cv::TM_CCORR_NORMED, mask_testtype_);
// Naive implementation for one point
Scalar temp_s = sum(templ_masked_.mul(img_roi_masked_));
double val = temp_s[0] + temp_s[1] + temp_s[2] + temp_s[3];
@ -134,7 +134,7 @@ TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplCCORR_NORMED)
TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplCCOEFF)
{
matchTemplate(img_testtype_, templ_testtype_, result_, CV_TM_CCOEFF, mask_testtype_);
matchTemplate(img_testtype_, templ_testtype_, result_, cv::TM_CCOEFF, mask_testtype_);
// Naive implementation for one point
Scalar temp_s = sum(mask_);
for (int i = 0; i < 4; i++)
@ -157,7 +157,7 @@ TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplCCOEFF)
TEST_P(Imgproc_MatchTemplateWithMask, CompareNaiveImplCCOEFF_NORMED)
{
matchTemplate(img_testtype_, templ_testtype_, result_, CV_TM_CCOEFF_NORMED, mask_testtype_);
matchTemplate(img_testtype_, templ_testtype_, result_, cv::TM_CCOEFF_NORMED, mask_testtype_);
// Naive implementation for one point
Scalar temp_s = sum(mask_);
for (int i = 0; i < 4; i++)
@ -265,14 +265,14 @@ INSTANTIATE_TEST_CASE_P(SingleChannelMask, Imgproc_MatchTemplateWithMask2,
Combine(
Values(CV_32FC1, CV_32FC3, CV_8UC1, CV_8UC3),
Values(CV_32FC1, CV_8UC1),
Values(CV_TM_SQDIFF, CV_TM_SQDIFF_NORMED, CV_TM_CCORR, CV_TM_CCORR_NORMED,
CV_TM_CCOEFF, CV_TM_CCOEFF_NORMED)));
Values(cv::TM_SQDIFF, cv::TM_SQDIFF_NORMED, cv::TM_CCORR, cv::TM_CCORR_NORMED,
cv::TM_CCOEFF, cv::TM_CCOEFF_NORMED)));
INSTANTIATE_TEST_CASE_P(MultiChannelMask, Imgproc_MatchTemplateWithMask2,
Combine(
Values(CV_32FC3, CV_8UC3),
Values(CV_32FC3, CV_8UC3),
Values(CV_TM_SQDIFF, CV_TM_SQDIFF_NORMED, CV_TM_CCORR, CV_TM_CCORR_NORMED,
CV_TM_CCOEFF, CV_TM_CCOEFF_NORMED)));
Values(cv::TM_SQDIFF, cv::TM_SQDIFF_NORMED, cv::TM_CCORR, cv::TM_CCORR_NORMED,
cv::TM_CCOEFF, cv::TM_CCOEFF_NORMED)));
}} // namespace

15
modules/photo/src/inpaint.cpp
Unescape View File

@ -735,17 +735,13 @@ icvNSInpaintFMM(const CvMat *f, CvMat *t, CvMat *out, int range, CvPriorityQueue
}\
}
namespace cv {
template<> struct DefaultDeleter<IplConvKernel>{ void operator ()(IplConvKernel* obj) const { cvReleaseStructuringElement(&obj); } };
}
static void
icvInpaint( const CvArr* _input_img, const CvArr* _inpaint_mask, CvArr* _output_img,
double inpaintRange, int flags )
{
cv::Ptr<CvMat> mask, band, f, t, out;
cv::Ptr<CvPriorityQueueFloat> Heap, Out;
cv::Ptr<IplConvKernel> el_cross, el_range;
cv::Mat el_range, el_cross; // structuring elements for dilate
CvMat input_hdr, mask_hdr, output_hdr;
CvMat* input_img, *inpaint_mask, *output_img;
@ -780,7 +776,7 @@ icvInpaint( const CvArr* _input_img, const CvArr* _inpaint_mask, CvArr* _output_
t.reset(cvCreateMat(erows, ecols, CV_32FC1));
band.reset(cvCreateMat(erows, ecols, CV_8UC1));
mask.reset(cvCreateMat(erows, ecols, CV_8UC1));
el_cross.reset(cvCreateStructuringElementEx(3,3,1,1,CV_SHAPE_CROSS,NULL));
el_cross = cv::getStructuringElement(cv::MORPH_CROSS, cv::Size(3, 3), cv::Point(1, 1));
cvCopy( input_img, output_img );
cvSet(mask,cvScalar(KNOWN,0,0,0));
@ -788,7 +784,7 @@ icvInpaint( const CvArr* _input_img, const CvArr* _inpaint_mask, CvArr* _output_
SET_BORDER1_C1(mask,uchar,0);
cvSet(f,cvScalar(KNOWN,0,0,0));
cvSet(t,cvScalar(1.0e6f,0,0,0));
cvDilate(mask,band,el_cross,1); // image with narrow band
cv::dilate(cv::cvarrToMat(mask), cv::cvarrToMat(band), el_cross, cv::Point(1, 1));
Heap=cv::makePtr<CvPriorityQueueFloat>();
if (!Heap->Init(band))
return;
@ -803,9 +799,8 @@ icvInpaint( const CvArr* _input_img, const CvArr* _inpaint_mask, CvArr* _output_
if( flags == cv::INPAINT_TELEA )
{
out.reset(cvCreateMat(erows, ecols, CV_8UC1));
el_range.reset(cvCreateStructuringElementEx(2*range+1,2*range+1,
range,range,CV_SHAPE_RECT,NULL));
cvDilate(mask,out,el_range,1);
el_range = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(2 * range + 1, 2 * range + 1));
cv::dilate(cv::cvarrToMat(mask), cv::cvarrToMat(out), el_range);
cvSub(out,mask,out,NULL);
Out=cv::makePtr<CvPriorityQueueFloat>();
if (!Out->Init(out))

2
modules/ts/src/ocl_test.cpp
Unescape View File

@ -81,7 +81,7 @@ double TestUtils::checkNorm2(InputArray m1, InputArray m2, InputArray mask)
double TestUtils::checkSimilarity(InputArray m1, InputArray m2)
{
Mat diff;
matchTemplate(m1.getMat(), m2.getMat(), diff, CV_TM_CCORR_NORMED);
matchTemplate(m1.getMat(), m2.getMat(), diff, cv::TM_CCORR_NORMED);
return std::abs(diff.at<float>(0, 0) - 1.f);
}

10
modules/ts/src/ts_func.cpp
Unescape View File

@ -3061,7 +3061,7 @@ void threshold( const Mat& _src, Mat& _dst,
switch( thresh_type )
{
case CV_THRESH_BINARY:
case cv::THRESH_BINARY:
for( i = 0; i < height; i++ )
{
if( depth == CV_8U )
@ -3087,7 +3087,7 @@ void threshold( const Mat& _src, Mat& _dst,
}
}
break;
case CV_THRESH_BINARY_INV:
case cv::THRESH_BINARY_INV:
for( i = 0; i < height; i++ )
{
if( depth == CV_8U )
@ -3113,7 +3113,7 @@ void threshold( const Mat& _src, Mat& _dst,
}
}
break;
case CV_THRESH_TRUNC:
case cv::THRESH_TRUNC:
for( i = 0; i < height; i++ )
{
if( depth == CV_8U )
@ -3148,7 +3148,7 @@ void threshold( const Mat& _src, Mat& _dst,
}
}
break;
case CV_THRESH_TOZERO:
case cv::THRESH_TOZERO:
for( i = 0; i < height; i++ )
{
if( depth == CV_8U )
@ -3183,7 +3183,7 @@ void threshold( const Mat& _src, Mat& _dst,
}
}
break;
case CV_THRESH_TOZERO_INV:
case cv::THRESH_TOZERO_INV:
for( i = 0; i < height; i++ )
{
if( depth == CV_8U )

32
modules/video/test/test_camshift.cpp
Unescape View File

@ -274,7 +274,7 @@ int CV_CamShiftTest::validate_test_results( int /*test_case_idx*/ )
cvIsNaN(box.center.y) || cvIsInf(box.center.y) ||
cvIsNaN(box.angle) || cvIsInf(box.angle) || box.angle < -180 || box.angle > 180 )
{
ts->printf( cvtest::TS::LOG, "Invalid CvBox2D or CvConnectedComp was returned by cvCamShift\n" );
ts->printf( cvtest::TS::LOG, "Invalid RotatedRect was returned by CamShift\n" );
code = cvtest::TS::FAIL_INVALID_OUTPUT;
goto _exit_;
}
@ -317,19 +317,6 @@ _exit_:
if( code < 0 )
{
#if 0 //defined _DEBUG && defined _WIN32
IplImage* dst = cvCreateImage( img_size, 8, 3 );
cvNamedWindow( "test", 1 );
cvCmpS( img, 0, img, CV_CMP_GT );
cvCvtColor( img, dst, CV_GRAY2BGR );
cvRectangle( dst, cvPoint(init_rect.x, init_rect.y),
cvPoint(init_rect.x + init_rect.width, init_rect.y + init_rect.height),
CV_RGB(255,0,0), 3, 8, 0 );
cvEllipseBox( dst, box, CV_RGB(0,255,0), 3, 8, 0 );
cvShowImage( "test", dst );
cvReleaseImage( &dst );
cvWaitKey();
#endif
ts->set_failed_test_info( code );
}
return code;
@ -428,7 +415,7 @@ int CV_MeanShiftTest::validate_test_results( int /*test_case_idx*/ )
rect.y + rect.height > box0.center.y + delta )
{
ts->printf( cvtest::TS::LOG,
"Incorrect CvConnectedComp ((%d,%d,%d,%d) is not within (%.1f,%.1f,%.1f,%.1f))\n",
"Incorrect ConnectedComp ((%d,%d,%d,%d) is not within (%.1f,%.1f,%.1f,%.1f))\n",
rect.x, rect.y, rect.x + rect.width, rect.y + rect.height,
box0.center.x - delta, box0.center.y - delta, box0.center.x + delta, box0.center.y + delta );
code = cvtest::TS::FAIL_BAD_ACCURACY;
@ -438,21 +425,6 @@ _exit_:
if( code < 0 )
{
#if 0// defined _DEBUG && defined _WIN32
IplImage* dst = cvCreateImage( img_size, 8, 3 );
cvNamedWindow( "test", 1 );
cvCmpS( img, 0, img, CV_CMP_GT );
cvCvtColor( img, dst, CV_GRAY2BGR );
cvRectangle( dst, cvPoint(init_rect.x, init_rect.y),
cvPoint(init_rect.x + init_rect.width, init_rect.y + init_rect.height),
CV_RGB(255,0,0), 3, 8, 0 );
cvRectangle( dst, cvPoint(comp.rect.x, comp.rect.y),
cvPoint(comp.rect.x + comp.rect.width, comp.rect.y + comp.rect.height),
CV_RGB(0,255,0), 3, 8, 0 );
cvShowImage( "test", dst );
cvReleaseImage( &dst );
cvWaitKey();
#endif
ts->set_failed_test_info( code );
}
return code;

30
modules/videoio/src/cap_avfoundation.mm
Unescape View File

@ -751,7 +751,7 @@ fromConnection:(AVCaptureConnection *)connection{
bgr_image->imageData = bgr_imagedata;
bgr_image->imageSize = (int)currSize;
cvCvtColor(image, bgr_image, CV_BGRA2BGR);
cv::cvtColor(cv::cvarrToMat(image), cv::cvarrToMat(bgr_image), cv::COLOR_BGRA2BGR);
// image taken from the buffer is incorrected rotated. I'm using cvTranspose + cvFlip.
// There should be an option in iOS API to rotate the buffer output orientation.
@ -1001,11 +1001,11 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
deviceChannels = 4;
if (mMode == CV_CAP_MODE_BGR) {
cvtCode = CV_BGRA2BGR;
cvtCode = cv::COLOR_BGRA2BGR;
} else if (mMode == CV_CAP_MODE_RGB) {
cvtCode = CV_BGRA2RGB;
cvtCode = cv::COLOR_BGRA2RGB;
} else if (mMode == CV_CAP_MODE_GRAY) {
cvtCode = CV_BGRA2GRAY;
cvtCode = cv::COLOR_BGRA2GRAY;
} else {
CVPixelBufferUnlockBaseAddress(mGrabbedPixels, 0);
CVBufferRelease(mGrabbedPixels);
@ -1017,11 +1017,11 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
deviceChannels = 3;
if (mMode == CV_CAP_MODE_BGR) {
cvtCode = CV_RGB2BGR;
cvtCode = cv::COLOR_RGB2BGR;
} else if (mMode == CV_CAP_MODE_RGB) {
cvtCode = 0;
} else if (mMode == CV_CAP_MODE_GRAY) {
cvtCode = CV_RGB2GRAY;
cvtCode = cv::COLOR_RGB2GRAY;
} else {
CVPixelBufferUnlockBaseAddress(mGrabbedPixels, 0);
CVBufferRelease(mGrabbedPixels);
@ -1033,11 +1033,11 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
deviceChannels = 2;
if (mMode == CV_CAP_MODE_BGR) {
cvtCode = CV_YUV2BGR_UYVY;
cvtCode = cv::COLOR_YUV2BGR_UYVY;
} else if (mMode == CV_CAP_MODE_RGB) {
cvtCode = CV_YUV2RGB_UYVY;
cvtCode = cv::COLOR_YUV2RGB_UYVY;
} else if (mMode == CV_CAP_MODE_GRAY) {
cvtCode = CV_YUV2GRAY_UYVY;
cvtCode = cv::COLOR_YUV2GRAY_UYVY;
} else if (mMode == CV_CAP_MODE_YUYV) {
cvtCode = -1; // Copy
} else {
@ -1053,11 +1053,11 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
deviceChannels = 1;
if (mMode == CV_CAP_MODE_BGR) {
cvtCode = CV_YUV2BGR_YV12;
cvtCode = cv::COLOR_YUV2BGR_YV12;
} else if (mMode == CV_CAP_MODE_RGB) {
cvtCode = CV_YUV2RGB_YV12;
cvtCode = cv::COLOR_YUV2RGB_YV12;
} else if (mMode == CV_CAP_MODE_GRAY) {
cvtCode = CV_YUV2GRAY_420;
cvtCode = cv::COLOR_YUV2GRAY_420;
} else {
CVPixelBufferUnlockBaseAddress(mGrabbedPixels, 0);
CVBufferRelease(mGrabbedPixels);
@ -1089,7 +1089,7 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
if (cvtCode == -1) {
cv::cvarrToMat(mDeviceImage).copyTo(cv::cvarrToMat(mOutImage));
} else {
cvCvtColor(mDeviceImage, mOutImage, cvtCode);
cv::cvtColor(cv::cvarrToMat(mDeviceImage), cv::cvarrToMat(mOutImage), cvtCode);
}
CVPixelBufferUnlockBaseAddress(mGrabbedPixels, 0);
@ -1383,10 +1383,10 @@ bool CvVideoWriter_AVFoundation::writeFrame(const IplImage* iplimage) {
if (movieColor) {
//assert(iplimage->nChannels == 3);
cvCvtColor(iplimage, argbimage, CV_BGR2BGRA);
cv::cvtColor(cv::cvarrToMat(iplimage), cv::cvarrToMat(argbimage), cv::COLOR_BGR2BGRA);
}else{
//assert(iplimage->nChannels == 1);
cvCvtColor(iplimage, argbimage, CV_GRAY2BGRA);
cv::cvtColor(cv::cvarrToMat(iplimage), cv::cvarrToMat(argbimage), cv::COLOR_GRAY2BGRA);
}
//IplImage -> CGImage conversion
CGColorSpaceRef colorSpace = CGColorSpaceCreateDeviceRGB();

38
modules/videoio/src/cap_avfoundation_mac.mm
Unescape View File

@ -697,7 +697,7 @@ didOutputSampleBuffer:(CMSampleBufferRef)sampleBuffer
mDeviceImage->imageData = reinterpret_cast<char *>(baseaddress);
mDeviceImage->imageSize = int(rowBytes*height);
cvCvtColor(mDeviceImage, mOutImage, CV_BGRA2BGR);
cvtColor(cv::cvarrToMat(mDeviceImage), cv::cvarrToMat(mOutImage), cv::COLOR_BGRA2BGR);
} else if ( pixelFormat == kCVPixelFormatType_422YpCbCr8 ) {
if ( currSize != width*3*height ) {
currSize = width*3*height;
@ -716,7 +716,7 @@ didOutputSampleBuffer:(CMSampleBufferRef)sampleBuffer
mDeviceImage->imageData = reinterpret_cast<char *>(baseaddress);
mDeviceImage->imageSize = int(rowBytes*height);
cvCvtColor(mDeviceImage, mOutImage, CV_YUV2BGR_UYVY);
cvtColor(cv::cvarrToMat(mDeviceImage), cv::cvarrToMat(mOutImage), cv::COLOR_YUV2BGR_UYVY);
} else {
fprintf(stderr, "OpenCV: unknown pixel format 0x%08X\n", pixelFormat);
CVPixelBufferUnlockBaseAddress(mGrabbedPixels, 0);
@ -827,7 +827,7 @@ bool CvCaptureFile::setupReadingAt(CMTime position) {
// Capture in a pixel format that can be converted efficiently to the output mode.
OSType pixelFormat;
if (mMode == CV_CAP_MODE_BGR || mMode == CV_CAP_MODE_RGB) {
// For CV_CAP_MODE_BGR, read frames as BGRA (AV Foundation's YUV->RGB conversion is slightly faster than OpenCV's CV_YUV2BGR_YV12)
// For CV_CAP_MODE_BGR, read frames as BGRA (AV Foundation's YUV->RGB conversion is slightly faster than OpenCV's cv::COLOR_YUV2BGR_YV12)
// kCVPixelFormatType_32ABGR is reportedly faster on OS X, but OpenCV doesn't have a CV_ABGR2BGR conversion.
// kCVPixelFormatType_24RGB is significantly slower than kCVPixelFormatType_32BGRA.
pixelFormat = kCVPixelFormatType_32BGRA;
@ -972,11 +972,11 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
deviceChannels = 4;
if (mMode == CV_CAP_MODE_BGR) {
cvtCode = CV_BGRA2BGR;
cvtCode = cv::COLOR_BGRA2BGR;
} else if (mMode == CV_CAP_MODE_RGB) {
cvtCode = CV_BGRA2RGB;
cvtCode = cv::COLOR_BGRA2RGB;
} else if (mMode == CV_CAP_MODE_GRAY) {
cvtCode = CV_BGRA2GRAY;
cvtCode = cv::COLOR_BGRA2GRAY;
} else {
CVPixelBufferUnlockBaseAddress(mGrabbedPixels, 0);
CVBufferRelease(mGrabbedPixels);
@ -988,11 +988,11 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
deviceChannels = 3;
if (mMode == CV_CAP_MODE_BGR) {
cvtCode = CV_RGB2BGR;
cvtCode = cv::COLOR_RGB2BGR;
} else if (mMode == CV_CAP_MODE_RGB) {
cvtCode = 0;
} else if (mMode == CV_CAP_MODE_GRAY) {
cvtCode = CV_RGB2GRAY;
cvtCode = cv::COLOR_RGB2GRAY;
} else {
CVPixelBufferUnlockBaseAddress(mGrabbedPixels, 0);
CVBufferRelease(mGrabbedPixels);
@ -1004,11 +1004,11 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
deviceChannels = 2;
if (mMode == CV_CAP_MODE_BGR) {
cvtCode = CV_YUV2BGR_UYVY;
cvtCode = cv::COLOR_YUV2BGR_UYVY;
} else if (mMode == CV_CAP_MODE_RGB) {
cvtCode = CV_YUV2RGB_UYVY;
cvtCode = cv::COLOR_YUV2RGB_UYVY;
} else if (mMode == CV_CAP_MODE_GRAY) {
cvtCode = CV_YUV2GRAY_UYVY;
cvtCode = cv::COLOR_YUV2GRAY_UYVY;
} else if (mMode == CV_CAP_MODE_YUYV) {
cvtCode = -1; // Copy
} else {
@ -1020,17 +1020,17 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
}
} else if ( pixelFormat == kCVPixelFormatType_420YpCbCr8BiPlanarVideoRange || // 420v
pixelFormat == kCVPixelFormatType_420YpCbCr8BiPlanarFullRange ) { // 420f
// cvCvtColor(CV_YUV2GRAY_420) is expecting a single buffer with both the Y plane and the CrCb planes.
// So, lie about the height of the buffer. cvCvtColor(CV_YUV2GRAY_420) will only read the first 2/3 of it.
// cvtColor(cv::COLOR_YUV2GRAY_420) is expecting a single buffer with both the Y plane and the CrCb planes.
// So, lie about the height of the buffer. cvtColor(cv::COLOR_YUV2GRAY_420) will only read the first 2/3 of it.
height = height * 3 / 2;
deviceChannels = 1;
if (mMode == CV_CAP_MODE_BGR) {
cvtCode = CV_YUV2BGR_YV12;
cvtCode = cv::COLOR_YUV2BGR_YV12;
} else if (mMode == CV_CAP_MODE_RGB) {
cvtCode = CV_YUV2RGB_YV12;
cvtCode = cv::COLOR_YUV2RGB_YV12;
} else if (mMode == CV_CAP_MODE_GRAY) {
cvtCode = CV_YUV2GRAY_420;
cvtCode = cv::COLOR_YUV2GRAY_420;
} else {
CVPixelBufferUnlockBaseAddress(mGrabbedPixels, 0);
CVBufferRelease(mGrabbedPixels);
@ -1063,7 +1063,7 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
// Copy.
cv::cvarrToMat(mDeviceImage).copyTo(cv::cvarrToMat(mOutImage));
} else {
cvCvtColor(mDeviceImage, mOutImage, cvtCode);
cvtColor(cv::cvarrToMat(mDeviceImage), cv::cvarrToMat(mOutImage), cvtCode);
}
@ -1352,10 +1352,10 @@ bool CvVideoWriter_AVFoundation::writeFrame(const IplImage* iplimage) {
if (movieColor) {
//assert(iplimage->nChannels == 3);
cvCvtColor(iplimage, argbimage, CV_BGR2BGRA);
cvtColor(cv::cvarrToMat(iplimage), cv::cvarrToMat(argbimage), cv::COLOR_BGR2BGRA);
}else{
//assert(iplimage->nChannels == 1);
cvCvtColor(iplimage, argbimage, CV_GRAY2BGRA);
cvtColor(cv::cvarrToMat(iplimage), cv::cvarrToMat(argbimage), cv::COLOR_GRAY2BGRA);
}
//IplImage -> CGImage conversion
CGColorSpaceRef colorSpace = CGColorSpaceCreateDeviceRGB();

2
modules/videoio/src/cap_openni2.cpp
Unescape View File

@ -1052,7 +1052,7 @@ IplImage* CvCapture_OpenNI2::retrieveGrayImage()
cv::Mat rgbImage;
getBGRImageFromMetaData(streamFrames[CV_COLOR_STREAM], rgbImage);
cv::cvtColor( rgbImage, outputMaps[CV_CAP_OPENNI_GRAY_IMAGE].mat, CV_BGR2GRAY );
cv::cvtColor( rgbImage, outputMaps[CV_CAP_OPENNI_GRAY_IMAGE].mat, cv::COLOR_BGR2GRAY );
return outputMaps[CV_CAP_OPENNI_GRAY_IMAGE].getIplImagePtr();
}

4
samples/android/15-puzzle/src/org/opencv/samples/puzzle15/Puzzle15Processor.java
Unescape View File

@ -64,7 +64,7 @@ public class Puzzle15Processor {
}
for (int i = 0; i < GRID_AREA; i++) {
Size s = Imgproc.getTextSize(Integer.toString(i + 1), 3/* CV_FONT_HERSHEY_COMPLEX */, 1, 2, null);
Size s = Imgproc.getTextSize(Integer.toString(i + 1), Imgproc.FONT_HERSHEY_COMPLEX, 1, 2, null);
mTextHeights[i] = (int) s.height;
mTextWidths[i] = (int) s.width;
}
@ -100,7 +100,7 @@ public class Puzzle15Processor {
cells[idx].copyTo(mCells15[i]);
if (mShowTileNumbers) {
Imgproc.putText(mCells15[i], Integer.toString(1 + idx), new Point((cols / GRID_SIZE - mTextWidths[idx]) / 2,
(rows / GRID_SIZE + mTextHeights[idx]) / 2), 3/* CV_FONT_HERSHEY_COMPLEX */, 1, new Scalar(255, 0, 0, 255), 2);
(rows / GRID_SIZE + mTextHeights[idx]) / 2), Imgproc.FONT_HERSHEY_COMPLEX, 1, new Scalar(255, 0, 0, 255), 2);
}
}
}

2
samples/cpp/mask_tmpl.cpp
Unescape View File

@ -52,7 +52,7 @@ int main( int argc, const char** argv )
return -1;
}
int method = parser.get<int>("cm"); // default 3 (CV_TM_CCORR_NORMED)
int method = parser.get<int>("cm"); // default 3 (cv::TM_CCORR_NORMED)
matchTemplate(img, tmpl, res, method, mask);
double minVal, maxVal;

8
samples/java/tutorial_code/ImgProc/erosion_dilatation/MorphologyDemo1.java
Unescape View File

@ -28,7 +28,7 @@ public class MorphologyDemo1 {
private static final int MAX_KERNEL_SIZE = 21;
private Mat matImgSrc;
private Mat matImgDst = new Mat();
private int elementType = Imgproc.CV_SHAPE_RECT;
private int elementType = Imgproc.MORPH_RECT;
private int kernelSize = 0;
private boolean doErosion = true;
private JFrame frame;
@ -74,11 +74,11 @@ public class MorphologyDemo1 {
@SuppressWarnings("unchecked")
JComboBox<String> cb = (JComboBox<String>)e.getSource();
if (cb.getSelectedIndex() == 0) {
elementType = Imgproc.CV_SHAPE_RECT;
elementType = Imgproc.MORPH_RECT;
} else if (cb.getSelectedIndex() == 1) {
elementType = Imgproc.CV_SHAPE_CROSS;
elementType = Imgproc.MORPH_CROSS;
} else if (cb.getSelectedIndex() == 2) {
elementType = Imgproc.CV_SHAPE_ELLIPSE;
elementType = Imgproc.MORPH_ELLIPSE;
}
update();
}

Write Preview
Loading…
Cancel
Save