Drawing Functions#

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.

Classes#

Name

Description

class cv::FontFace

Wrapper on top of a truetype/opentype/etc font, i.e. Freetype’s FT_Face. View details

class cv::LineIterator

Class for iterating over all pixels on a raster line segment. View details

Enumerations#

View details

View details

View details

Defines various put text flags. View details

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.

PutTextFlags#

enum cv::PutTextFlags

#include <opencv2/imgproc.hpp>

Defines various put text flags.

Enumerator:

PUT_TEXT_ALIGN_LEFT
Python: cv.PUT_TEXT_ALIGN_LEFT

PUT_TEXT_ALIGN_CENTER
Python: cv.PUT_TEXT_ALIGN_CENTER

PUT_TEXT_ALIGN_RIGHT
Python: cv.PUT_TEXT_ALIGN_RIGHT

PUT_TEXT_ALIGN_MASK
Python: cv.PUT_TEXT_ALIGN_MASK

PUT_TEXT_ORIGIN_TL
Python: cv.PUT_TEXT_ORIGIN_TL

PUT_TEXT_ORIGIN_BL
Python: cv.PUT_TEXT_ORIGIN_BL

PUT_TEXT_WRAP
Python: cv.PUT_TEXT_WRAP

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 )

#include <opencv2/imgproc.hpp>

Python:

cv.arrowedLine(img, pt1, pt2, color[, thickness[, line_type[, shift[, tipLength]]]]) -> img

Draws an 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 )

#include <opencv2/imgproc.hpp>

Python:

cv.circle(img, center, radius, color[, thickness[, lineType[, shift]]]) -> img

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.

clipLine()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.clipLine(imgRect, pt1, pt2) -> retval, pt1, pt2

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.

clipLine()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.clipLine(imgRect, pt1, pt2) -> retval, pt1, pt2

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()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.clipLine(imgRect, pt1, pt2) -> retval, pt1, pt2

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.

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() )

#include <opencv2/imgproc.hpp>

Python:

cv.drawContours(image, contours, contourIdx, color[, thickness[, lineType[, hierarchy[, maxLevel[, offset]]]]]) -> image

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], IMREAD_GRAYSCALE)).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);
}

Note

When thickness=FILLED, the function is designed to handle connected components with holes correctly even when no hierarchy data 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.

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 \(\texttt{offset}=(dx,dy)\) .

drawFrameAxes()#

void cv::drawFrameAxes(
InputOutputArray image,
InputArray cameraMatrix,
InputArray distCoeffs,
InputArray rvec,
InputArray tvec,
float length,
int thickness = 3 )

#include <opencv2/imgproc.hpp>

Python:

cv.drawFrameAxes(image, cameraMatrix, distCoeffs, rvec, tvec, length[, thickness]) -> image

Draw axes of the world/object coordinate system from pose estimation.

See also

solvePnP

This function draws the axes of the world/object coordinate system w.r.t. to the camera frame. OX is drawn in red, OY in green and OZ in blue.

Parameters

  • image — Input/output image. It must have 1 or 3 channels. The number of channels is not altered.

  • cameraMatrix — Input 3x3 floating-point matrix of camera intrinsic parameters. \(\cameramatrix{A}\)

  • distCoeffs — Input vector of distortion coefficients \(\distcoeffs\). If the vector is empty, the zero distortion coefficients are assumed.

  • rvec — Rotation vector (see Rodrigues ) that, together with tvec, brings points from the model coordinate system to the camera coordinate system.

  • tvec — Translation vector.

  • length — Length of the painted axes in the same unit than tvec (usually in meters).

  • thickness — Line thickness of the painted axes.

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 )

#include <opencv2/imgproc.hpp>

Python:

cv.drawMarker(img, position, color[, markerType[, markerSize[, thickness[, line_type]]]]) -> img

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]

ellipse()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.ellipse(img, center, axes, angle, startAngle, endAngle, color[, thickness[, lineType[, shift]]]) -> img
cv.ellipse(img, box, color[, thickness[, lineType]]) -> img

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

ellipse()#

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 )

#include <opencv2/imgproc.hpp>

Python:

cv.ellipse(img, center, axes, angle, startAngle, endAngle, color[, thickness[, lineType[, shift]]]) -> img
cv.ellipse(img, box, color[, thickness[, lineType]]) -> img

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.

ellipse2Poly()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.ellipse2Poly(center, axes, angle, arcStart, arcEnd, delta) -> pts

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()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.ellipse2Poly(center, axes, angle, arcStart, arcEnd, delta) -> pts

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()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.fillConvexPoly(img, points, color[, lineType[, shift]]) -> img

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

fillConvexPoly()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.fillConvexPoly(img, points, color[, lineType[, shift]]) -> img

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()#

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() )

#include <opencv2/imgproc.hpp>

Python:

cv.fillPoly(img, pts, color[, lineType[, shift[, offset]]]) -> img

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

fillPoly()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.fillPoly(img, pts, color[, lineType[, shift[, offset]]]) -> img

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 )

#include <opencv2/imgproc.hpp>

Python:

cv.getFontScaleFromHeight(fontFace, pixelHeight[, thickness]) -> retval

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

See also

cv::putText

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

getTextSize()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.getTextSize(text, fontFace, fontScale, thickness) -> retval, baseLine
cv.getTextSize(imgsize, text, org, fface, size[, weight[, flags[, wrap]]]) -> retval

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);

See also

putText

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.

  • baseLine — y-coordinate of the baseline relative to the bottom-most text point.

Returns

The size of a box that contains the specified text.

getTextSize()#

Rect cv::getTextSize(
Size imgsize,
const String & text,
Point org,
FontFace & fface,
int size,
int weight = 0,
PutTextFlags flags = PUT_TEXT_ALIGN_LEFT,
Range wrap = Range() )

#include <opencv2/imgproc.hpp>

Python:

cv.getTextSize(text, fontFace, fontScale, thickness) -> retval, baseLine
cv.getTextSize(imgsize, text, org, fface, size[, weight[, flags[, wrap]]]) -> retval

Calculates the bounding rect for the text.

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: :

Parameters

  • imgsize — Size of the target image, can be empty

  • text — Text string to be drawn.

  • org — Bottom-left corner of the first character of the printed text (see PUT_TEXT_ALIGN_… though)

  • fface — The font to use for the text

  • size — Font size in pixels (by default) or pts

  • weight — Font weight, 100..1000, where 100 is “thin” font, 400 is “regular”, 600 is “semibold”, 800 is “bold” and beyond that is “black”. The default weight means “400” for variable-weight fonts or whatever “default” weight the used font provides.

  • flags — Various flags, see PUT_TEXT_…

  • wrap — The optional text wrapping range; see putText.

line()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.line(img, pt1, pt2, color[, thickness[, lineType[, shift]]]) -> img

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.

polylines()#

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 )

#include <opencv2/imgproc.hpp>

Python:

cv.polylines(img, pts, isClosed, color[, thickness[, lineType[, shift]]]) -> img

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

polylines()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.polylines(img, pts, isClosed, color[, thickness[, lineType[, shift]]]) -> img

Draws several polygonal curves.

The function cv::polylines draws one or more 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.

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 )

#include <opencv2/imgproc.hpp>

Python:

cv.putText(img, text, org, fontFace, fontScale, color[, thickness[, lineType[, bottomLeftOrigin]]]) -> img
cv.putText(img, text, org, color, fface, size[, weight[, flags[, wrap]]]) -> retval, img

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.

The fontScale parameter is a scale factor that is multiplied by the base font size:

  • When scale > 1, the text is magnified.

  • When 0 < scale < 1, the text is minimized.

  • When scale < 0, the text is mirrored or reversed.

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.

putText()#

Point cv::putText(
InputOutputArray img,
const String & text,
Point org,
Scalar color,
FontFace & fface,
int size,
int weight = 0,
PutTextFlags flags = PUT_TEXT_ALIGN_LEFT,
Range wrap = Range() )

#include <opencv2/imgproc.hpp>

Python:

cv.putText(img, text, org, fontFace, fontScale, color[, thickness[, lineType[, bottomLeftOrigin]]]) -> img
cv.putText(img, text, org, color, fface, size[, weight[, flags[, wrap]]]) -> retval, img

Draws a text string using specified font.

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. The function returns the coordinates in pixels from where the text can be continued.

Parameters

  • img — Image.

  • text — Text string to be drawn.

  • org — Bottom-left corner of the first character of the printed text (see PUT_TEXT_ALIGN_… though)

  • color — Text color.

  • fface — The font to use for the text

  • size — Font size in pixels (by default) or pts

  • weight — Font weight, 100..1000, where 100 is “thin” font, 400 is “regular”, 600 is “semibold”, 800 is “bold” and beyond that is “black”. The parameter is ignored if the font is not a variable font or if it does not provide variation along ‘wght’ axis. If the weight is 0, then the weight, currently set via setInstance(), is used.

  • flags — Various flags, see PUT_TEXT_…

  • wrap — The optional text wrapping range: In the case of left-to-right (LTR) text if the printed character would cross wrap.end boundary, the “cursor” is set to wrap.start. In the case of right-to-left (RTL) text it’s vice versa. If the parameters is not set, [org.x, img.cols] is used for LTR text and [0, org.x] is for RTL one.

rectangle()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.rectangle(img, pt1, pt2, color[, thickness[, lineType[, shift]]]) -> img
cv.rectangle(img, rec, color[, thickness[, lineType[, shift]]]) -> img

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.

rectangle()#

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

#include <opencv2/imgproc.hpp>

Python:

cv.rectangle(img, pt1, pt2, color[, thickness[, lineType[, shift]]]) -> img
cv.rectangle(img, rec, color[, thickness[, lineType[, shift]]]) -> img

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

Macro Definition Documentation#

CV_RGB#

#define CV_RGB(r, g, b)

#include <opencv2/imgproc.hpp>

Value:

cv::Scalar((b), (g), (r), 0)

OpenCV color channel order is BGR[A]