OpenCV-Python is a library of Python bindings designed to solve computer vision problems.
cv2.arrowedLine() method is used to draw arrow segment pointing from the start point to the end point.
Syntax: cv2.arrowedLine(image, start_point, end_point, color, thickness, line_type, shift, tipLength)
Parameters:
image: It is the image on which line is to be drawn.
start_point: It is the starting coordinates of line. The coordinates are represented as tuples of two values i.e. (X coordinate value, Y coordinate value).
end_point: It is the ending coordinates of line. The coordinates are represented as tuples of two values i.e. (X coordinate value, Y coordinate value).
color: It is the color of line to be drawn. For BGR, we pass a tuple. eg: (255, 0, 0) for blue color.
thickness: It is the thickness of the line in px.
line_type: It denotes the type of the line for drawing.
shift: It denotes number of fractional bits in the point coordinates.
tipLength: It denotes the length of the arrow tip in relation to the arrow length.
Return Value: It returns an image.
Image used for all the below examples:
Example #1:
Python3
# Python program to explain cv2.arrowedLine() method # importing cv2 import cv2 # path path = r'C:\Users\Atomix\Desktop\neveropen\Lazyroar.png' # Reading an image in default mode image = cv2.imread(path) # Window name in which image is displayed window_name = 'Image' # Start coordinate, here (0, 0) # represents the top left corner of image start_point = (0, 0) # End coordinateend_point = (200, 200) # Green color in BGR color = (0, 255, 0) # Line thickness of 9 px thickness = 9 # Using cv2.arrowedLine() method # Draw a diagonal green arrow line# with thickness of 9 px image = cv2.arrowedLine(image, start_point, end_point, color, thickness) # Displaying the image cv2.imshow(window_name, image) |
Output:
Example #2:
Python3
# Python program to explain cv2.arrowedLine() method # importing cv2 import cv2 # path path = r'C:\Users\Atomix\Desktop\neveropen\Lazyroar.png' # Reading an image in default mode image = cv2.imread(path) # Window name in which image is displayed window_name = 'Image' # Start coordinate, here (225, 0) # represents the top right corner of image start_point = (225, 0) # End coordinateend_point = (0, 90) # Red color in BGR color = (0, 0, 255) # Line thickness of 9 px thickness = 9 # Using cv2.arrowedLine() method # Draw a red arrow line# with thickness of 9 px and tipLength = 0.5image = cv2.arrowedLine(image, start_point, end_point, color, thickness, tipLength = 0.5) # Displaying the image cv2.imshow(window_name, image) |
Output:
