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The size is given as a 2 - tuple (width, height ). Typical values are "1", "L", "RGB", or "CMYK." print (image. You can get some details about the image using the object's attributes. This displays the image on an external viewer (usually Preview on macOS, xv on Unix, and the Paint program on Windows). You can do this by calling the show ( ) method on it. If there was a problem opening the file, an OSError exception will be raised.Īfter obtaining an Image object, you can now use the methods and attributes defined by the class to process and manipulate it. If successful, the above returns an Image object. To load an image from a file, we use the open ( ) function in the Image module, passing it the path to the image. An instance of this class can be created in several ways: by loading images from a file, creating images from scratch, or as a result of processing other images. It's defined in the Image module and provides a PIL image on which manipulation operations can be carried out. The Image ObjectĪ crucial class in the Python Imaging Library is the Image class. You can also use your own images.Īll examples will assume the required images are in the same directory as the python script file being run.

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To follow along, you can download the images (courtesy of Unsplash) that we'll use in the article.

#3000 x 3000 image converter install#

You can install Pillow with pip as shown: python3 -m pip install -upgrade pip

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We give instructions on how to install Pillow below, but it is a good idea to check the installation guide in case later versions of Pillow happen to require some pre-requisite libraries installed first. This version requires Python version 3.6 and above.

We'll be using the current stable version of Pillow in this article (version 8.0.1 at the time of writing).

Pillow and PIL cannot co-exist in the same environment, so in case you have PIL installed, uninstall it first before proceeding.

Installation and Project Setupīefore installing Pillow, you should be aware of the following: We'll see how to perform various operations on images such as cropping, resizing, adding text to images, rotating, greyscaling, etc., using this library. It supports a range of image file formats such as PNG, JPEG, PPM, GIF, TIFF, and BMP. Pillow builds on this, adding more features and support for Python 3. It's a powerful library but hasn't been updated since 2009 and doesn't support Python 3. PIL is a library that offers several standard procedures for manipulating images. Pillow is a fork of the Python Imaging Library (PIL). This article will focus on Pillow, a powerful library that provides a wide array of image processing features and is simple to use. We won't debate on which library is the best here they all have their merits. Some popular ones are OpenCV, scikit-image, Python Imaging Library and Pillow.

If you are building your application with Python and need to add image processing features to it, there are various libraries you could use. Many applications use digital images, and with this, there is usually a need to process the images used.