| OpenCV 4.3.0 Open Source Computer Vision

Classes | Macros | Enumerations | Functions
Drawing Functions
Image Processing

## Classes
class | cv::LineIterator
| Line iterator. More...

## Macros
#define | CV_RGB(r, g, b) cv::Scalar((b), (g), (r), 0)

## Enumerations
enum | cv::HersheyFonts { cv::FONT_HERSHEY_SIMPLEX = 0, cv::FONT_HERSHEY_PLAIN = 1, cv::FONT_HERSHEY_DUPLEX = 2, cv::FONT_HERSHEY_COMPLEX = 3, cv::FONT_HERSHEY_TRIPLEX = 4, cv::FONT_HERSHEY_COMPLEX_SMALL = 5, cv::FONT_HERSHEY_SCRIPT_SIMPLEX = 6, cv::FONT_HERSHEY_SCRIPT_COMPLEX = 7, cv::FONT_ITALIC = 16 }
enum | cv::LineTypes { cv::FILLED = -1, cv::LINE_4 = 4, cv::LINE_8 = 8, cv::LINE_AA = 16 }
enum | cv::MarkerTypes { cv::MARKER_CROSS = 0, cv::MARKER_TILTED_CROSS = 1, cv::MARKER_STAR = 2, cv::MARKER_DIAMOND = 3, cv::MARKER_SQUARE = 4, cv::MARKER_TRIANGLE_UP = 5, cv::MARKER_TRIANGLE_DOWN = 6 }

## Functions
void | cv::arrowedLine (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int line_type=8, int shift=0, double tipLength=0.1)
| Draws a arrow segment pointing from the first point to the second one. More...
void | cv::circle (InputOutputArray img, Point center, int radius, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
| Draws a circle. More...
bool | cv::clipLine (Size imgSize, Point &pt1, Point &pt2)
| Clips the line against the image rectangle. More...
bool | cv::clipLine (Size2l imgSize, Point2l &pt1, Point2l &pt2)
bool | cv::clipLine (Rect imgRect, Point &pt1, Point &pt2)
void | cv::drawContours (InputOutputArray image, InputArrayOfArrays contours, int contourIdx, const Scalar &color, int thickness=1, int lineType=LINE_8, InputArray hierarchy=noArray(), int maxLevel=INT_MAX, Point offset=Point())
| Draws contours outlines or filled contours. More...
void | cv::drawMarker (InputOutputArray img, Point position, const Scalar &color, int markerType=MARKER_CROSS, int markerSize=20, int thickness=1, int line_type=8)
| Draws a marker on a predefined position in an image. More...
void | cv::ellipse (InputOutputArray img, Point center, Size axes, double angle, double startAngle, double endAngle, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
| Draws a simple or thick elliptic arc or fills an ellipse sector. More...
void | cv::ellipse (InputOutputArray img, const RotatedRect &box, const Scalar &color, int thickness=1, int lineType=LINE_8)
void | cv::ellipse2Poly (Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, std::vector< Point > &pts)
| Approximates an elliptic arc with a polyline. More...
void | cv::ellipse2Poly (Point2d center, Size2d axes, int angle, int arcStart, int arcEnd, int delta, std::vector< Point2d > &pts)
void | cv::fillConvexPoly (InputOutputArray img, const Point *pts, int npts, const Scalar &color, int lineType=LINE_8, int shift=0)
void | cv::fillConvexPoly (InputOutputArray img, InputArray points, const Scalar &color, int lineType=LINE_8, int shift=0)
| Fills a convex polygon. More...
void | cv::fillPoly (InputOutputArray img, const Point **pts, const int *npts, int ncontours, const Scalar &color, int lineType=LINE_8, int shift=0, Point offset=Point())
void | cv::fillPoly (InputOutputArray img, InputArrayOfArrays pts, const Scalar &color, int lineType=LINE_8, int shift=0, Point offset=Point())
| Fills the area bounded by one or more polygons. More...
double | cv::getFontScaleFromHeight (const int fontFace, const int pixelHeight, const int thickness=1)
| Calculates the font-specific size to use to achieve a given height in pixels. More...
Size | cv::getTextSize (const String &text, int fontFace, double fontScale, int thickness, int *baseLine)
| Calculates the width and height of a text string. More...
void | cv::line (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
| Draws a line segment connecting two points. More...
void | cv::polylines (InputOutputArray img, const Point *const *pts, const int *npts, int ncontours, bool isClosed, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
void | cv::polylines (InputOutputArray img, InputArrayOfArrays pts, bool isClosed, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
| Draws several polygonal curves. More...
void | cv::putText (InputOutputArray img, const String &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int lineType=LINE_8, bool bottomLeftOrigin=false)
| Draws a text string. More...
void | cv::rectangle (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
| Draws a simple, thick, or filled up-right rectangle. More...
void | cv::rectangle (InputOutputArray img, Rect rec, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)

## Detailed Description

Drawing functions work with matrices/images of arbitrary depth. The boundaries of the shapes can be rendered with antialiasing (implemented only for 8-bit images for now). All the functions include the parameter color that uses an RGB value (that may be constructed with the Scalar constructor ) for color images and brightness for grayscale images. For color images, the channel ordering is normally Blue, Green, Red. This is what imshow, imread, and imwrite expect. So, if you form a color using the Scalar constructor, it should look like:

\[\texttt{Scalar} (blue \_ component, green \_ component, red \_ component[, alpha \_ component])\]

If you are using your own image rendering and I/O functions, you can use any channel ordering. The drawing functions process each channel independently and do not depend on the channel order or even on the used color space. The whole image can be converted from BGR to RGB or to a different color space using cvtColor .

If a drawn figure is partially or completely outside the image, the drawing functions clip it. Also, many drawing functions can handle pixel coordinates specified with sub-pixel accuracy. This means that the coordinates can be passed as fixed-point numbers encoded as integers. The number of fractional bits is specified by the shift parameter and the real point coordinates are calculated as \(\texttt{Point}(x,y)\rightarrow\texttt{Point2f}(x*2^{-shift},y*2^{-shift})\) . This feature is especially effective when rendering antialiased shapes.

Note
  The functions do not support alpha-transparency when the target image is 4-channel. In this case, the color[3] is simply copied to the repainted pixels. Thus, if you want to paint semi-transparent shapes, you can paint them in a separate buffer and then blend it with the main image.

## Macro Definition Documentation

## ◆ CV_RGB

#define CV_RGB | ( |  | r,
|  |  | g,
|  |  | b
| ) |  | cv::Scalar((b), (g), (r), 0)

`#include <opencv2/imgproc.hpp>`

OpenCV color channel order is BGR[A]

## Enumeration Type Documentation

## ◆ HersheyFonts

enum cv::HersheyFonts

`#include <opencv2/imgproc.hpp>`

Only a subset of Hershey fonts https://en.wikipedia.org/wiki/Hershey_fonts are supported

Enumerator
FONT_HERSHEY_SIMPLEX Python: cv.FONT_HERSHEY_SIMPLEX | normal size sans-serif font
FONT_HERSHEY_PLAIN Python: cv.FONT_HERSHEY_PLAIN | small size sans-serif font
FONT_HERSHEY_DUPLEX Python: cv.FONT_HERSHEY_DUPLEX | normal size sans-serif font (more complex than FONT_HERSHEY_SIMPLEX)
FONT_HERSHEY_COMPLEX Python: cv.FONT_HERSHEY_COMPLEX | normal size serif font
FONT_HERSHEY_TRIPLEX Python: cv.FONT_HERSHEY_TRIPLEX | normal size serif font (more complex than FONT_HERSHEY_COMPLEX)
FONT_HERSHEY_COMPLEX_SMALL Python: cv.FONT_HERSHEY_COMPLEX_SMALL | smaller version of FONT_HERSHEY_COMPLEX
FONT_HERSHEY_SCRIPT_SIMPLEX Python: cv.FONT_HERSHEY_SCRIPT_SIMPLEX | hand-writing style font
FONT_HERSHEY_SCRIPT_COMPLEX Python: cv.FONT_HERSHEY_SCRIPT_COMPLEX | more complex variant of FONT_HERSHEY_SCRIPT_SIMPLEX
FONT_ITALIC Python: cv.FONT_ITALIC | flag for italic font

## ◆ LineTypes

enum cv::LineTypes

`#include <opencv2/imgproc.hpp>`

types of line

Enumerator
FILLED Python: cv.FILLED |
LINE_4 Python: cv.LINE_4 | 4-connected line
LINE_8 Python: cv.LINE_8 | 8-connected line
LINE_AA Python: cv.LINE_AA | antialiased line

## ◆ MarkerTypes

enum cv::MarkerTypes

`#include <opencv2/imgproc.hpp>`

Possible set of marker types used for the cv::drawMarker function

Enumerator
MARKER_CROSS Python: cv.MARKER_CROSS | A crosshair marker shape.
MARKER_TILTED_CROSS Python: cv.MARKER_TILTED_CROSS | A 45 degree tilted crosshair marker shape.
MARKER_STAR Python: cv.MARKER_STAR | A star marker shape, combination of cross and tilted cross.
MARKER_DIAMOND Python: cv.MARKER_DIAMOND | A diamond marker shape.
MARKER_SQUARE Python: cv.MARKER_SQUARE | A square marker shape.
MARKER_TRIANGLE_UP Python: cv.MARKER_TRIANGLE_UP | An upwards pointing triangle marker shape.
MARKER_TRIANGLE_DOWN Python: cv.MARKER_TRIANGLE_DOWN | A downwards pointing triangle marker shape.

## Function Documentation

## ◆ arrowedLine()

void cv::arrowedLine | ( | InputOutputArray | img,
|  | Point | pt1,
|  | Point | pt2,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | line_type = `8`,
|  | int | shift = `0`,
|  | double | tipLength = `0.1`
| ) |  |

Python:
| img | = | cv.arrowedLine( | img, pt1, pt2, color[, thickness[, line_type[, shift[, tipLength]]]] | )

`#include <opencv2/imgproc.hpp>`

Draws a arrow segment pointing from the first point to the second one.

The function cv::arrowedLine draws an arrow between pt1 and pt2 points in the image. See also line.

Parameters

  img | Image.
  pt1 | The point the arrow starts from.
  pt2 | The point the arrow points to.
  color | Line color.
  thickness | Line thickness.
  line_type | Type of the line. See LineTypes
  shift | Number of fractional bits in the point coordinates.
  tipLength | The length of the arrow tip in relation to the arrow length

## ◆ circle()

void cv::circle | ( | InputOutputArray | img,
|  | Point | center,
|  | int | radius,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`
| ) |  |

Python:
| img | = | cv.circle( | img, center, radius, color[, thickness[, lineType[, shift]]] | )

`#include <opencv2/imgproc.hpp>`

Draws a circle.

The function cv::circle draws a simple or filled circle with a given center and radius.

Parameters

  img | Image where the circle is drawn.
  center | Center of the circle.
  radius | Radius of the circle.
  color | Circle color.
  thickness | Thickness of the circle outline, if positive. Negative values, like FILLED, mean that a filled circle is to be drawn.
  lineType | Type of the circle boundary. See LineTypes
  shift | Number of fractional bits in the coordinates of the center and in the radius value.

Examples:
  samples/cpp/convexhull.cpp, samples/cpp/falsecolor.cpp, samples/cpp/kmeans.cpp, samples/cpp/lkdemo.cpp, samples/cpp/minarea.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_1.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp, samples/cpp/tutorial_code/ImgTrans/houghcircles.cpp, and samples/dnn/openpose.cpp.

## ◆ clipLine() [1/3]

bool cv::clipLine | ( | Size | imgSize,
|  | Point & | pt1,
|  | Point & | pt2
| ) |  |

Python:
| retval, pt1, pt2 | = | cv.clipLine( | imgRect, pt1, pt2 | )

`#include <opencv2/imgproc.hpp>`

Clips the line against the image rectangle.

The function cv::clipLine calculates a part of the line segment that is entirely within the specified rectangle. it returns false if the line segment is completely outside the rectangle. Otherwise, it returns true .

Parameters

  imgSize | Image size. The image rectangle is Rect(0, 0, imgSize.width, imgSize.height) .
  pt1 | First line point.
  pt2 | Second line point.

## ◆ clipLine() [2/3]

bool cv::clipLine | ( | Size2l | imgSize,
|  | Point2l & | pt1,
|  | Point2l & | pt2
| ) |  |

Python:
| retval, pt1, pt2 | = | cv.clipLine( | imgRect, pt1, pt2 | )

`#include <opencv2/imgproc.hpp>`

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

  imgSize | Image size. The image rectangle is Rect(0, 0, imgSize.width, imgSize.height) .
  pt1 | First line point.
  pt2 | Second line point.

## ◆ clipLine() [3/3]

bool cv::clipLine | ( | Rect | imgRect,
|  | Point & | pt1,
|  | Point & | pt2
| ) |  |

Python:
| retval, pt1, pt2 | = | cv.clipLine( | imgRect, pt1, pt2 | )

`#include <opencv2/imgproc.hpp>`

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

  imgRect | Image rectangle.
  pt1 | First line point.
  pt2 | Second line point.

## ◆ drawContours()

void cv::drawContours | ( | InputOutputArray | image,
|  | InputArrayOfArrays | contours,
|  | int | contourIdx,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`,
|  | InputArray | hierarchy = `noArray()`,
|  | int | maxLevel = `INT_MAX`,
|  | Point | offset = `Point()`
| ) |  |

Python:
| image | = | cv.drawContours( | image, contours, contourIdx, color[, thickness[, lineType[, hierarchy[, maxLevel[, offset]]]]] | )

`#include <opencv2/imgproc.hpp>`

Draws contours outlines or filled contours.

The function draws contour outlines in the image if \(\texttt{thickness} \ge 0\) or fills the area bounded by the contours if \(\texttt{thickness}<0\) . The example below shows how to retrieve connected components from the binary image and label them: :

#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
using namespace cv;
using namespace std;
int main( int argc, char** argv )
{
Mat src;
// the first command-line parameter must be a filename of the binary
// (black-n-white) image
if( argc != 2 || !(src=imread(argv[1], 0)).data)
return -1;
Mat dst = Mat::zeros(src.rows, src.cols, CV_8UC3);
src = src > 1;
namedWindow( "Source", 1 );
imshow( "Source", src );
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours( src, contours, hierarchy,
RETR_CCOMP, CHAIN_APPROX_SIMPLE );
// iterate through all the top-level contours,
// draw each connected component with its own random color
int idx = 0;
for( ; idx >= 0; idx = hierarchy[idx][0] )
{
Scalar color( rand()&255, rand()&255, rand()&255 );
drawContours( dst, contours, idx, color, FILLED, 8, hierarchy );
}
namedWindow( "Components", 1 );
imshow( "Components", dst );
waitKey(0);
}

Parameters

  image | Destination image.
  contours | All the input contours. Each contour is stored as a point vector.
  contourIdx | Parameter indicating a contour to draw. If it is negative, all the contours are drawn.
  color | Color of the contours.
  thickness | Thickness of lines the contours are drawn with. If it is negative (for example, thickness=FILLED ), the contour interiors are drawn.
  lineType | Line connectivity. See LineTypes
  hierarchy | Optional information about hierarchy. It is only needed if you want to draw only some of the contours (see maxLevel ).
  maxLevel | Maximal level for drawn contours. If it is 0, only the specified contour is drawn. If it is 1, the function draws the contour(s) and all the nested contours. If it is 2, the function draws the contours, all the nested contours, all the nested-to-nested contours, and so on. This parameter is only taken into account when there is hierarchy available.
  offset | Optional contour shift parameter. Shift all the drawn contours by the specified \(\texttt{offset}=(dx,dy)\) .

Note
  When thickness=FILLED, the function is designed to handle connected components with holes correctly even when no hierarchy date is provided. This is done by analyzing all the outlines together using even-odd rule. This may give incorrect results if you have a joint collection of separately retrieved contours. In order to solve this problem, you need to call drawContours separately for each sub-group of contours, or iterate over the collection using contourIdx parameter.

Examples:
  samples/cpp/contours2.cpp, samples/cpp/segment_objects.cpp, samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp, and samples/cpp/watershed.cpp.

## ◆ drawMarker()

void cv::drawMarker | ( | InputOutputArray | img,
|  | Point | position,
|  | const Scalar & | color,
|  | int | markerType = `MARKER_CROSS`,
|  | int | markerSize = `20`,
|  | int | thickness = `1`,
|  | int | line_type = `8`
| ) |  |

Python:
| img | = | cv.drawMarker( | img, position, color[, markerType[, markerSize[, thickness[, line_type]]]] | )

`#include <opencv2/imgproc.hpp>`

Draws a marker on a predefined position in an image.

The function cv::drawMarker draws a marker on a given position in the image. For the moment several marker types are supported, see MarkerTypes for more information.

Parameters

  img | Image.
  position | The point where the crosshair is positioned.
  color | Line color.
  markerType | The specific type of marker you want to use, see MarkerTypes
  thickness | Line thickness.
  line_type | Type of the line, See LineTypes
  markerSize | The length of the marker axis [default = 20 pixels]

Examples:
  samples/cpp/polar_transforms.cpp.

## ◆ ellipse() [1/2]

void cv::ellipse | ( | InputOutputArray | img,
|  | Point | center,
|  | Size | axes,
|  | double | angle,
|  | double | startAngle,
|  | double | endAngle,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`
| ) |  |

Python:
| img | = | cv.ellipse( | img, center, axes, angle, startAngle, endAngle, color[, thickness[, lineType[, shift]]] | )
| img | = | cv.ellipse( | img, box, color[, thickness[, lineType]] | )

`#include <opencv2/imgproc.hpp>`

Draws a simple or thick elliptic arc or fills an ellipse sector.

The function cv::ellipse with more parameters draws an ellipse outline, a filled ellipse, an elliptic arc, or a filled ellipse sector. The drawing code uses general parametric form. A piecewise-linear curve is used to approximate the elliptic arc boundary. If you need more control of the ellipse rendering, you can retrieve the curve using ellipse2Poly and then render it with polylines or fill it with fillPoly. If you use the first variant of the function and want to draw the whole ellipse, not an arc, pass `startAngle=0` and `endAngle=360`. If `startAngle` is greater than `endAngle`, they are swapped. The figure below explains the meaning of the parameters to draw the blue arc.

Parameters of Elliptic Arc

Parameters

  img | Image.
  center | Center of the ellipse.
  axes | Half of the size of the ellipse main axes.
  angle | Ellipse rotation angle in degrees.
  startAngle | Starting angle of the elliptic arc in degrees.
  endAngle | Ending angle of the elliptic arc in degrees.
  color | Ellipse color.
  thickness | Thickness of the ellipse arc outline, if positive. Otherwise, this indicates that a filled ellipse sector is to be drawn.
  lineType | Type of the ellipse boundary. See LineTypes
  shift | Number of fractional bits in the coordinates of the center and values of axes.

Examples:
  samples/cpp/camshiftdemo.cpp, samples/cpp/contours2.cpp, samples/cpp/falsecolor.cpp, samples/cpp/fitellipse.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_1.cpp, and samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp.

## ◆ ellipse() [2/2]

void cv::ellipse | ( | InputOutputArray | img,
|  | const RotatedRect & | box,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`
| ) |  |

Python:
| img | = | cv.ellipse( | img, center, axes, angle, startAngle, endAngle, color[, thickness[, lineType[, shift]]] | )
| img | = | cv.ellipse( | img, box, color[, thickness[, lineType]] | )

`#include <opencv2/imgproc.hpp>`

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

  img | Image.
  box | Alternative ellipse representation via RotatedRect. This means that the function draws an ellipse inscribed in the rotated rectangle.
  color | Ellipse color.
  thickness | Thickness of the ellipse arc outline, if positive. Otherwise, this indicates that a filled ellipse sector is to be drawn.
  lineType | Type of the ellipse boundary. See LineTypes

## ◆ ellipse2Poly() [1/2]

void cv::ellipse2Poly | ( | Point | center,
|  | Size | axes,
|  | int | angle,
|  | int | arcStart,
|  | int | arcEnd,
|  | int | delta,
|  | std::vector< Point > & | pts
| ) |  |

Python:
| pts | = | cv.ellipse2Poly( | center, axes, angle, arcStart, arcEnd, delta | )

`#include <opencv2/imgproc.hpp>`

Approximates an elliptic arc with a polyline.

The function ellipse2Poly computes the vertices of a polyline that approximates the specified elliptic arc. It is used by ellipse. If `arcStart` is greater than `arcEnd`, they are swapped.

Parameters

  center | Center of the arc.
  axes | Half of the size of the ellipse main axes. See ellipse for details.
  angle | Rotation angle of the ellipse in degrees. See ellipse for details.
  arcStart | Starting angle of the elliptic arc in degrees.
  arcEnd | Ending angle of the elliptic arc in degrees.
  delta | Angle between the subsequent polyline vertices. It defines the approximation accuracy.
  pts | Output vector of polyline vertices.

## ◆ ellipse2Poly() [2/2]

void cv::ellipse2Poly | ( | Point2d | center,
|  | Size2d | axes,
|  | int | angle,
|  | int | arcStart,
|  | int | arcEnd,
|  | int | delta,
|  | std::vector< Point2d > & | pts
| ) |  |

Python:
| pts | = | cv.ellipse2Poly( | center, axes, angle, arcStart, arcEnd, delta | )

`#include <opencv2/imgproc.hpp>`

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

  center | Center of the arc.
  axes | Half of the size of the ellipse main axes. See ellipse for details.
  angle | Rotation angle of the ellipse in degrees. See ellipse for details.
  arcStart | Starting angle of the elliptic arc in degrees.
  arcEnd | Ending angle of the elliptic arc in degrees.
  delta | Angle between the subsequent polyline vertices. It defines the approximation accuracy.
  pts | Output vector of polyline vertices.

## ◆ fillConvexPoly() [1/2]

void cv::fillConvexPoly | ( | InputOutputArray | img,
|  | const Point * | pts,
|  | int | npts,
|  | const Scalar & | color,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`
| ) |  |

Python:
| img | = | cv.fillConvexPoly( | img, points, color[, lineType[, shift]] | )

`#include <opencv2/imgproc.hpp>`

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

## ◆ fillConvexPoly() [2/2]

void cv::fillConvexPoly | ( | InputOutputArray | img,
|  | InputArray | points,
|  | const Scalar & | color,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`
| ) |  |

Python:
| img | = | cv.fillConvexPoly( | img, points, color[, lineType[, shift]] | )

`#include <opencv2/imgproc.hpp>`

Fills a convex polygon.

The function cv::fillConvexPoly draws a filled convex polygon. This function is much faster than the function fillPoly . It can fill not only convex polygons but any monotonic polygon without self-intersections, that is, a polygon whose contour intersects every horizontal line (scan line) twice at the most (though, its top-most and/or the bottom edge could be horizontal).

Parameters

  img | Image.
  points | Polygon vertices.
  color | Polygon color.
  lineType | Type of the polygon boundaries. See LineTypes
  shift | Number of fractional bits in the vertex coordinates.

## ◆ fillPoly() [1/2]

void cv::fillPoly | ( | InputOutputArray | img,
|  | const Point ** | pts,
|  | const int * | npts,
|  | int | ncontours,
|  | const Scalar & | color,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`,
|  | Point | offset = `Point()`
| ) |  |

Python:
| img | = | cv.fillPoly( | img, pts, color[, lineType[, shift[, offset]]] | )

`#include <opencv2/imgproc.hpp>`

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Examples:
  samples/cpp/create_mask.cpp, samples/cpp/intersectExample.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_1.cpp, and samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp.

## ◆ fillPoly() [2/2]

void cv::fillPoly | ( | InputOutputArray | img,
|  | InputArrayOfArrays | pts,
|  | const Scalar & | color,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`,
|  | Point | offset = `Point()`
| ) |  |

Python:
| img | = | cv.fillPoly( | img, pts, color[, lineType[, shift[, offset]]] | )

`#include <opencv2/imgproc.hpp>`

Fills the area bounded by one or more polygons.

The function cv::fillPoly fills an area bounded by several polygonal contours. The function can fill complex areas, for example, areas with holes, contours with self-intersections (some of their parts), and so forth.

Parameters

  img | Image.
  pts | Array of polygons where each polygon is represented as an array of points.
  color | Polygon color.
  lineType | Type of the polygon boundaries. See LineTypes
  shift | Number of fractional bits in the vertex coordinates.
  offset | Optional offset of all points of the contours.

## ◆ getFontScaleFromHeight()

double cv::getFontScaleFromHeight | ( | const int | fontFace,
|  | const int | pixelHeight,
|  | const int | thickness = `1`
| ) |  |

Python:
| retval | = | cv.getFontScaleFromHeight( | fontFace, pixelHeight[, thickness] | )

`#include <opencv2/imgproc.hpp>`

Calculates the font-specific size to use to achieve a given height in pixels.

Parameters

  fontFace | Font to use, see cv::HersheyFonts.
  pixelHeight | Pixel height to compute the fontScale for
  thickness | Thickness of lines used to render the text.See putText for details.

Returns
  The fontSize to use for cv::putText

See also
  cv::putText

## ◆ getTextSize()

Size cv::getTextSize | ( | const String & | text,
|  | int | fontFace,
|  | double | fontScale,
|  | int | thickness,
|  | int * | baseLine
| ) |  |

Python:
| retval, baseLine | = | cv.getTextSize( | text, fontFace, fontScale, thickness | )

`#include <opencv2/imgproc.hpp>`

Calculates the width and height of a text string.

The function cv::getTextSize calculates and returns the size of a box that contains the specified text. That is, the following code renders some text, the tight box surrounding it, and the baseline: :

String text = "Funny text inside the box";
int fontFace = FONT_HERSHEY_SCRIPT_SIMPLEX;
double fontScale = 2;
int thickness = 3;
Mat img(600, 800, CV_8UC3, Scalar::all(0));
int baseline=0;
Size textSize = getTextSize(text, fontFace,
fontScale, thickness, &baseline);
baseline += thickness;
// center the text
Point textOrg((img.cols - textSize.width)/2,
(img.rows + textSize.height)/2);
// draw the box
rectangle(img, textOrg + Point(0, baseline),
textOrg + Point(textSize.width, -textSize.height),
Scalar(0,0,255));
// ... and the baseline first
line(img, textOrg + Point(0, thickness),
textOrg + Point(textSize.width, thickness),
Scalar(0, 0, 255));
// then put the text itself
putText(img, text, textOrg, fontFace, fontScale,
Scalar::all(255), thickness, 8);

Parameters

  | text | Input text string.
  | fontFace | Font to use, see HersheyFonts.
  | fontScale | Font scale factor that is multiplied by the font-specific base size.
  | thickness | Thickness of lines used to render the text. See putText for details.
  [out] | baseLine | y-coordinate of the baseline relative to the bottom-most text point.

Returns
  The size of a box that contains the specified text.

See also
  putText

Examples:
  samples/cpp/fitellipse.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp, and samples/dnn/object_detection.cpp.

## ◆ line()

void cv::line | ( | InputOutputArray | img,
|  | Point | pt1,
|  | Point | pt2,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`
| ) |  |

Python:
| img | = | cv.line( | img, pt1, pt2, color[, thickness[, lineType[, shift]]] | )

`#include <opencv2/imgproc.hpp>`

Draws a line segment connecting two points.

The function line draws the line segment between pt1 and pt2 points in the image. The line is clipped by the image boundaries. For non-antialiased lines with integer coordinates, the 8-connected or 4-connected Bresenham algorithm is used. Thick lines are drawn with rounding endings. Antialiased lines are drawn using Gaussian filtering.

Parameters

  img | Image.
  pt1 | First point of the line segment.
  pt2 | Second point of the line segment.
  color | Line color.
  thickness | Line thickness.
  lineType | Type of the line. See LineTypes.
  shift | Number of fractional bits in the point coordinates.

Examples:
  samples/cpp/contours2.cpp, samples/cpp/convexhull.cpp, samples/cpp/create_mask.cpp, samples/cpp/falsecolor.cpp, samples/cpp/fitellipse.cpp, samples/cpp/image_alignment.cpp, samples/cpp/kalman.cpp, samples/cpp/minarea.cpp, samples/cpp/pca.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_1.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp, samples/cpp/tutorial_code/ImgTrans/houghlines.cpp, samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp, samples/cpp/warpPerspective_demo.cpp, samples/cpp/watershed.cpp, samples/dnn/classification.cpp, samples/dnn/object_detection.cpp, samples/dnn/openpose.cpp, samples/dnn/segmentation.cpp, and samples/dnn/text_detection.cpp.

## ◆ polylines() [1/2]

void cv::polylines | ( | InputOutputArray | img,
|  | const Point *const * | pts,
|  | const int * | npts,
|  | int | ncontours,
|  | bool | isClosed,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`
| ) |  |

Python:
| img | = | cv.polylines( | img, pts, isClosed, color[, thickness[, lineType[, shift]]] | )

`#include <opencv2/imgproc.hpp>`

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Examples:
  samples/cpp/create_mask.cpp, samples/cpp/intersectExample.cpp, samples/cpp/squares.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp, and samples/tapi/squares.cpp.

## ◆ polylines() [2/2]

void cv::polylines | ( | InputOutputArray | img,
|  | InputArrayOfArrays | pts,
|  | bool | isClosed,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`
| ) |  |

Python:
| img | = | cv.polylines( | img, pts, isClosed, color[, thickness[, lineType[, shift]]] | )

`#include <opencv2/imgproc.hpp>`

Draws several polygonal curves.

Parameters

  img | Image.
  pts | Array of polygonal curves.
  isClosed | Flag indicating whether the drawn polylines are closed or not. If they are closed, the function draws a line from the last vertex of each curve to its first vertex.
  color | Polyline color.
  thickness | Thickness of the polyline edges.
  lineType | Type of the line segments. See LineTypes
  shift | Number of fractional bits in the vertex coordinates.

The function cv::polylines draws one or more polygonal curves.

## ◆ putText()

void cv::putText | ( | InputOutputArray | img,
|  | const String & | text,
|  | Point | org,
|  | int | fontFace,
|  | double | fontScale,
|  | Scalar | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`,
|  | bool | bottomLeftOrigin = `false`
| ) |  |

Python:
| img | = | cv.putText( | img, text, org, fontFace, fontScale, color[, thickness[, lineType[, bottomLeftOrigin]]] | )

`#include <opencv2/imgproc.hpp>`

Draws a text string.

The function cv::putText renders the specified text string in the image. Symbols that cannot be rendered using the specified font are replaced by question marks. See getTextSize for a text rendering code example.

Parameters

  img | Image.
  text | Text string to be drawn.
  org | Bottom-left corner of the text string in the image.
  fontFace | Font type, see HersheyFonts.
  fontScale | Font scale factor that is multiplied by the font-specific base size.
  color | Text color.
  thickness | Thickness of the lines used to draw a text.
  lineType | Line type. See LineTypes
  bottomLeftOrigin | When true, the image data origin is at the bottom-left corner. Otherwise, it is at the top-left corner.

Examples:
  samples/cpp/falsecolor.cpp, samples/cpp/fitellipse.cpp, samples/cpp/intersectExample.cpp, samples/cpp/peopledetect.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp, samples/cpp/tutorial_code/ImgProc/Smoothing/Smoothing.cpp, samples/cpp/warpPerspective_demo.cpp, samples/dnn/classification.cpp, samples/dnn/object_detection.cpp, samples/dnn/segmentation.cpp, samples/dnn/text_detection.cpp, and samples/tapi/hog.cpp.

## ◆ rectangle() [1/2]

void cv::rectangle | ( | InputOutputArray | img,
|  | Point | pt1,
|  | Point | pt2,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`
| ) |  |

Python:
| img | = | cv.rectangle( | img, pt1, pt2, color[, thickness[, lineType[, shift]]] | )
| img | = | cv.rectangle( | img, rec, color[, thickness[, lineType[, shift]]] | )

`#include <opencv2/imgproc.hpp>`

Draws a simple, thick, or filled up-right rectangle.

The function cv::rectangle draws a rectangle outline or a filled rectangle whose two opposite corners are pt1 and pt2.

Parameters

  img | Image.
  pt1 | Vertex of the rectangle.
  pt2 | Vertex of the rectangle opposite to pt1 .
  color | Rectangle color or brightness (grayscale image).
  thickness | Thickness of lines that make up the rectangle. Negative values, like FILLED, mean that the function has to draw a filled rectangle.
  lineType | Type of the line. See LineTypes
  shift | Number of fractional bits in the point coordinates.

Examples:
  samples/cpp/camshiftdemo.cpp, samples/cpp/demhist.cpp, samples/cpp/facedetect.cpp, samples/cpp/falsecolor.cpp, samples/cpp/grabcut.cpp, samples/cpp/intersectExample.cpp, samples/cpp/peopledetect.cpp, samples/cpp/train_HOG.cpp, samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_1.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp, samples/dnn/object_detection.cpp, and samples/tapi/hog.cpp.

## ◆ rectangle() [2/2]

void cv::rectangle | ( | InputOutputArray | img,
|  | Rect | rec,
|  | const Scalar & | color,
|  | int | thickness = `1`,
|  | int | lineType = `LINE_8`,
|  | int | shift = `0`
| ) |  |

Python:
| img | = | cv.rectangle( | img, pt1, pt2, color[, thickness[, lineType[, shift]]] | )
| img | = | cv.rectangle( | img, rec, color[, thickness[, lineType[, shift]]] | )

`#include <opencv2/imgproc.hpp>`

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

use `rec` parameter as alternative specification of the drawn rectangle: `r.tl() and r.br()-Point(1,1)` are opposite corners