The library supports transformations between each supported mode as well as the “L” and “RGB” modes. Pillow allows you to convert images between different pixel representations using the convert() method. There are various forms of pixel representations, including L (luminance), RGB, and CMYK. The full size of the cropped image can be calculated as 250×250 pixels. In the example above, the first two values represent the starting position from the upper-left the third and fourth values represent the distance in pixels from the starting position toward the right and bottom direction. The region is defined by a 4-tuple, where coordinates are (left, upper, right, lower). The method takes a box tuple that defines the position and size of the cropped region and returns an Image object representing the cropped image. The crop() function in Pillow requires the portion to be cropped as a rectangle. Cropping often comes into play when editing images for web applications. To crop an image is to cut out only a specific portion. The image is rotated by an angle of 90 degrees. This takes an integer or float argument representing the degrees of rotation and returns a new Image object of the rotated image. The resulting image is flipped vertically.Īlternatively, you can rotate images using the rotate() method. Image.ROTATE_90, which rotates the image to a certain degree, depending on the angle.Image.FLIP_TOP_BOTTOM, which flips the image vertically.Image.FLIP_LEFT_RIGHT, which flips the image horizontally.This is done using the transpose function, which takes any of the following parameters: If you need the image to face a different direction, Pillow enables you to flip it. The image is then resized within the maximum limit so as not to be overstretched or blurred. This takes two values representing the maximum width and maximum height of the thumbnail. Using the thumbnail() function, the image is resized to keep its aspect ratio. You can resize images by creating a thumbnail of the image using Pillow. Then, Pillow sees the file extension specified as PNG, so it converts the image to. An image can be converted from one format to another as follows: image = Image.open('sample.jpg')įirst, the image is loaded. Pillow supports a wide variety of images formats. Let’s zoom in and explore some of these operations in more detail. All the rotations, resizing, cropping, drawing, and other image manipulations are done through via calls on this Image object. We are also able to process and manipulate our images using various operations.Īny changes made to the Image object can be saved to an image file with the save() method. image.mode returns the pixel format of the image (e.g., 1, L, RGB, CMYK).image.palette returns the color palette table, if one exists.image.size returns the tuple height and weight of the image.image.format returns the file format of the image (e.g.image.height returns the height of the image.image.width returns the width of the image.There are several properties of the image we can access to get more data from the image: image = Image.open('sample.jpg')įor our examples, we’ll use a sample image from Unsplash.Īlso worth noting, the images are in the same directory as the Python script file being run. Next, load the image by calling the Image.open() function, which returns a value of the Image object data type. To get started, first import the I``mage object to the Python file. Pillow offers the Image object, which has inbuilt functions and properties on which manipulation operations can be carried out. You can install Pillow using pip, a package manager for Python packages: python3 -m pip install -upgrade pip You can perform various operations on images such as cropping, resizing, adding text, rotating, grayscaling, and so much more using this library. Pillow supports a range of image file formats, such as. Pillow provides more features and support for Python 3. PIL is a powerful library in its own right, but it hasn’t been updated since 2009 and doesn’t support Python 3. It is a free and open-source library for manipulating and processing images. Pillow is a fork of the Python Imaging Library (PIL). To follow along with this tutorial, you should have basic knowledge of Python and the Python 3 interpreter installed on your local machine. Then, we’ll take it a step further and demonstrate how to implement some basic image operations. In this tutorial, we’ll show you how to process images using the Pillow module. One important function Python can perform is automatic processing of digital images, which can be done using Pillow. It can be used to perform various functions and tasks using a simple syntax. Python is now one of the most widely used programming languages in the world. Abiola Farounbi Follow Frontend developer and technical writer with a passion for open source, accessibility, and web technologies.
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