Python OpenCV cv2.arrowedLine()方法用法示例

OpenCV的Python是旨在解决计算机视觉问题的Python绑定库。

cv2.arrowedLine()方法用于绘制从起点到终点的箭头线段。

语法：cv2.arrowedLine(image, start_point, end_point, color [, thickness [, line_type [, shift [, tipLength]]]]))
参数：
image：这是要在其上绘制线条的图像。
start_point：线的起始坐标。坐标表示为两个值的元组, 即(X坐标值, Y坐标值)。
end_point：是直线的终点坐标。坐标表示为两个值的元组, 即(X坐标值, Y坐标值)。
color：它是要绘制的线条的颜色。对于BGR, 我们传递一个元组。例如：(255, 0, 0)为蓝色。
粗细：是线条的粗细(以像素为单位)。
line_type：表示绘制线的类型。
shift：表示点坐标中的小数位数。
tipLength：表示箭头尖端相对于箭头长度的长度。
返回值：返回图像。

用于以下所有示例的图像：

示例1：

# Python program to explain cv2.arrowedLine() method 
  
# importing cv2 
import cv2 
  
# path 
path = r 'C:\Users\Atomix\Desktop\srcmini\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
end_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)

输出如下：

示例2：

# Python program to explain cv2.arrowedLine() method 
  
# importing cv2 
import cv2 
  
# path 
path = r 'C:\Users\Atomix\Desktop\srcmini\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 (225, 0) 
# represents the top right corner of image 
start_point = ( 225 , 0 ) 
  
# End coordinate
end_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 = 0.5
image = cv2.arrowedLine(image, start_point, end_point, color, thickness, tipLength = 0.5 ) 
  
# Displaying the image 
cv2.imshow(window_name, image)

输出如下：

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