Python OpenCV cv2.rectangle()方法绘制矩形示例 _Python

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

Python OpenCV绘制矩形语法：
cv2.rectangle(image, start_point, end_point, color, thickness)
参数：
image：这是要在其上绘制矩形的图像。
start_point：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：矩形的终点坐标。坐标表示为两个值的元组, 即(X坐标值, Y坐标值)。
color：是要绘制的矩形的边界线的颜色。对于BGR, 我们传递一个元组。例如：(255, 0, 0)为蓝色。
thickness：是矩形边框线的粗细(以像素为单位)。 -1 px的厚度将用指定的颜色填充矩形。
返回值：返回图像。

用于以下所有示例的图像：

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Python OpenCV cv2.rectangle示例1：

# Python program to explain cv2.rectangle() method # importing cv2 import cv2 # path path = r 'C:\Users\Rajnish\Desktop\lsbin\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)

输出如下：

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Python OpenCV绘制矩形示例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\lsbin\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)

输出如下：