How to scale and rotate images using Python

How to use Python to scale and rotate images

Introduction: Today, we often use images to enrich our web design, mobile applications, social media, etc. Scenes. In image processing, scaling and rotation are two common requirements. Python, as a scripting language and powerful image processing tool, provides many libraries and methods to handle these tasks. This article will introduce how to use Python to scale and rotate images, and provide code examples.

1. Zooming pictures

Zooming pictures is one of the basic operations to adjust the size of an image. It is often used to adjust the width, height or overall proportion of the picture. In Python, we can use the Pillow library for image processing.

First, we need to install the Pillow library. Open a command line window and enter the following command to install:

pip install pillow

After the installation is complete, we can use the following code example to zoom an image:

from PIL import Image

# 打开原图片
image = Image.open("image.jpg")

# 设置缩放尺寸
width = 800
height = 600

# 缩放图片
resized_image = image.resize((width, height))

# 保存缩放后的图片
resized_image.save("resized_image.jpg")

In the code example, we first use # The ##Image.open() method opens the original image, and then uses the resize() method to scale the image to the specified size. Finally, use the save() method to save the scaled image.

2. Rotate the picture

Rotating the picture is an operation to adjust the direction of the image. It is often used to adjust the angle of the picture or change the direction of the picture. In Python, we can also use the Pillow library for image rotation.

The following is a sample code that shows how to rotate an image:

from PIL import Image

# 打开原图片
image = Image.open("image.jpg")

# 设置旋转角度
angle = 45

# 旋转图片
rotated_image = image.rotate(angle)

# 保存旋转后的图片
rotated_image.save("rotated_image.jpg")

In the above code example, we first open the original image using the

Image.open() method , and then use the rotate() method to rotate the image to the specified angle. Finally, use the save() method to save the rotated image.

3. Combined application of scaling and rotation

In addition to scaling and rotating operations separately, we can also combine the two. The following is a sample code that shows how to scale and rotate the image at the same time:

from PIL import Image

# 打开原图片
image = Image.open("image.jpg")

# 设置缩放尺寸
width = 800
height = 600

# 设置旋转角度
angle = 45

# 缩放图片
resized_image = image.resize((width, height))

# 旋转图片
rotated_image = resized_image.rotate(angle)

# 保存缩放和旋转后的图片
rotated_image.save("resized_and_rotated_image.jpg")

In the above code example, we first use the

Image.open() method to open the original image, and then use resize() method resizes the image to the specified size. Next, we use the rotate() method to rotate the scaled image to the specified angle. Finally, use the save() method to save the scaled and rotated image.

Conclusion: This article introduces how to use Python to scale and rotate images, and provides relevant code examples. Scaling and rotation are common image processing needs. Mastering these skills can help us better process images and enrich our design and development work. I hope this article will be helpful to your learning and practice in image processing.

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