Python OpenCV | cv2.line() method
OpenCV-Python is a library of Python bindings designed to solve computer vision problems.cv2.line() method is used to draw a line on any image.
Syntax: cv2.line(image, start_point, end_point, color, thickness)
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.
Return Value: It returns an image.
Image used for all the below examples:
Example #1:
# Python program to explain cv2.line() method # importing cv2 import cv2 # path path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.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 coordinate, here (250, 250) # represents the bottom right corner of image end_point = (250, 250) # Green color in BGR color = (0, 255, 0) # Line thickness of 9 px thickness = 9 # Using cv2.line() method # Draw a diagonal green line with thickness of 9 px image = cv2.line(image, start_point, end_point, color, thickness) # Displaying the image cv2.imshow(window_name, image) |
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Output:
Example #2:
# Python program to explain cv2.line() method # importing cv2 import cv2 # path path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png' # Reading an image in grayscale mode image = cv2.imread(path, 0) # 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 coordinate, here (0, 225) # represents the bottom left corner of image end_point = (0, 225) # Black color in BGR color = (0, 0, 0) # Line thickness of 5 px thickness = 5 # Using cv2.line() method # Draw a diagonal black line with thickness of 5 px image = cv2.line(image, start_point, end_point, color, thickness) # Displaying the image cv2.imshow(window_name, image) |
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Output:
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