Using the Image Class¶
The most important class in the Python Imaging Library is the Image class, defined in the module with the same name. You can create instances of this class in several ways; either by loading images from files, processing other images, or creating images from scratch.
To load an image from a file, use the open function in the Image module.:
>>> import Image >>> im = Image.open("lena.ppm")
If successful, this function returns an Image object. You can now use instance attributes to examine the file contents.:
>>> print im.format, im.size, im.mode PPM (512, 512) RGB
The format attribute identifies the source of an image. If the image was not read from a file, it is set to None. The size attribute is a 2-tuple containing width and height (in pixels). The mode attribute defines the number and names of the bands in the image, and also the pixel type and depth. Common modes are “L” (luminance) for greyscale images, “RGB” for true colour images, and “CMYK” for pre-press images.
If the file cannot be opened, an IOError exception is raised.
Once you have an instance of the Image class, you can use the methods defined by this class to process and manipulate the image. For example, let’s display the image we just loaded:
(The standard version of show is not very efficient, since it saves the image to a temporary file and calls the xv utility to display the image. If you don’t have xv installed, it won’t even work. When it does work though, it is very handy for debugging and tests.)
The following sections provide an overview of the different functions provided in this library.
Reading and Writing Images¶
The Python Imaging Library supports a wide variety of image file formats. To read files from disk, use the open function in the Image module. You don’t have to know the file format to open a file. The library automatically determines the format based on the contents of the file.
To save a file, use the save method of the Image class. When saving files, the name becomes important. Unless you specify the format, the library uses the filename extension to discover which file storage format to use.
Convert files to JPEG¶
import os, sys import Image for infile in sys.argv[1:]: f, e = os.path.splitext(infile) outfile = f + ".jpg" if infile != outfile: try: Image.open(infile).save(outfile) except IOError: print "cannot convert", infile
A second argument can be supplied to the save method which explicitly specifies a file format. If you use a non-standard extension, you must always specify the format this way:
Create JPEG Thumbnails¶
import os, sys import Image size = 128, 128 for infile in sys.argv[1:]: outfile = os.path.splitext(infile) + ".thumbnail" if infile != outfile: try: im = Image.open(infile) im.thumbnail(size) im.save(outfile, "JPEG") except IOError: print "cannot create thumbnail for", infile
It is important to note that the library doesn’t decode or load the raster data unless it really has to. When you open a file, the file header is read to determine the file format and extract things like mode, size, and other properties required to decode the file, but the rest of the file is not processed until later.
This means that opening an image file is a fast operation, which is independent of the file size and compression type. Here’s a simple script to quickly identify a set of image files:
Identify Image Files¶
import sys import Image for infile in sys.argv[1:]: try: im = Image.open(infile) print infile, im.format, "%dx%d" % im.size, im.mode except IOError: pass