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。

【Python OpenCV cv2.arrowedLine()方法用法示例】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:
Python OpenCV cv2.arrowedLine()方法用法示例

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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:
Python OpenCV cv2.arrowedLine()方法用法示例

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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:
Python OpenCV cv2.arrowedLine()方法用法示例

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首先, 你的面试准备可通过以下方式增强你的数据结构概念:Python DS课程。

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