OpenCV-Python是旨在解决计算机视觉问题的Python绑定库。cv2.rectangle()方法用于在任何图像上绘制矩形。

用法： cv2.rectangle(image, start_point, end_point, color, thickness)

参数：

image:它是要在其上绘制矩形的图像。

start_point：它是矩形的起始坐标。坐标表示为两个值的元组，即(X坐标值，Y坐标值)。

end_point：它是矩形的结束坐标。坐标表示为两个值的元组，即(X坐标值ÿ坐标值)。

color:它是要绘制的矩形的边界线的颜色。对于BGR，我们通过一个元组。例如：(255，0，0)为蓝色。

thickness:它是矩形边框线的粗细像素。厚度-1像素将以指定的颜色填充矩形形状。

返回值：它返回一个图像。

用于以下所有示例的图像：

示例1:

# Python program to explain cv2.rectangle() 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 (5, 5)

# represents the top left corner of rectangle

start_point = (5, 5)

# Ending coordinate, here (220, 220)

# represents the bottom right corner of rectangle

end_point = (220, 220)

# Blue color in BGR

color = (255, 0, 0)

# Line thickness of 2 px

thickness = 2

# Using cv2.rectangle() method

# Draw a rectangle with blue line borders of thickness of 2 px

image = cv2.rectangle(image, start_point, end_point, color, thickness)

# Displaying the image

cv2.imshow(window_name, image)

输出：

示例2:

使用-1 px的厚度用黑色填充矩形。

# Python program to explain cv2.rectangle() 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 (100, 50)

# represents the top left corner of rectangle

start_point = (100, 50)

# Ending coordinate, here (125, 80)

# represents the bottom right corner of rectangle

end_point = (125, 80)

# Black color in BGR

color = (0, 0, 0)

# Line thickness of -1 px

# Thickness of -1 will fill the entire shape

thickness = -1

# Using cv2.rectangle() method

# Draw a rectangle of black color of thickness -1 px

image = cv2.rectangle(image, start_point, end_point, color, thickness)

# Displaying the image

cv2.imshow(window_name, image)

输出：