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Working with images is a common task in Python. One problem that often arises is the need to rotate an image, whether for preprocessing steps in an image processing or computer vision application, or just to change the orientation. Rotating an image in Python is not as straightforward as you might think, but don’t worry! I will guide you through the process.
In this article, we’ll delve into the solution of image rotation in Python, with a step-by-step explanation of the code.
Python Libraries for Image Processing
There are several Python libraries which we can use to perform various operations on images such as openCV, PIL (Pillow) among others.
# Importing necessary libraries from PIL import Image
The Solution for Image Rotation
The solution to rotating an image in Python involves using the PIL library which stands for Pillow and adding a rotate() function to our code. This function takes in one parameter which is an angle by which the image is to be rotated.
# Rotating the image def rotate_image(image_path, degrees_to_rotate, saved_location): """ Rotate the given photo the amount of given degreesk, show it and save it @param image_path: The path to the image to edit @param degrees_to_rotate: The number of degrees to rotate the image @param saved_location: Path to save the cropped image """ image_obj = Image.open(image_path) rotated_image = image_obj.rotate(degrees_to_rotate) rotated_image.save(saved_location)
Step-by-step Code Explanation
1. Importing the Library:
First, we import the necessary library, which in this case is PIL (Pillow).
2. Defining the Function:
We then define a function called rotate_image(). This function takes three parameters: the path to the image file, the number of degrees to rotate the image, and the location to save the rotated image.
3. Open the Image:
Within the function, we create an object ‘image_obj’ by opening the image file.
4. Rotate the Image:
Next, we rotate the image by calling the rotate() function on the image_obj, passing in the degrees_to_rotate parameter.
5. Save the Image:
Finally, we save the rotated image to the specified location.
More on Python’s PIL Library
The Python Imaging Library adds image processing capabilities while maintaining a strong focus on simplicity and ease of use. It can handle tasks such as reading and writing various image formats, changing image sizes, cropping, color manipulation, and much more. One of its powerful features is its ability to rotate an image with just a few lines of code, as we have seen in this article.