Image class, variants and internal data augmentation pipeline

The fastai Image classes

The fastai library is built such that the pictures loaded are wrapped in an Image. This Image contains the array of pixels associated to the picture, but also has a lot of built-in functions that will help the fastai library to process transformations applied to the corresponding image. There are also sub-classes for special types of image-like objects:

See the following sections for documentation of all the details of these classes. But first, let's have a quick look at the main functionality you'll need to know about.

Opening an image and converting to an Image object is easily done by using the open_image function:

img = open_image('imgs/cat_example.jpg')

To look at the picture that this Image contains, you can also use its show method. It will show a resized version and has more options to customize the display.

This show method can take a few arguments (see the documentation of show_image for details) but the two we will use the most in this documentation are:

  • ax which is the matplolib.pyplot axes on which we want to show the image
  • title which is an optional title we can give to the image.
_,axs = plt.subplots(1,4,figsize=(12,4))
for i,ax in enumerate(axs):, title=f'Copy {i+1}')

If you're interested in the tensor of pixels, it's stored in the attribute of an Image.
torch.Size([3, 500, 394])

The Image classes

Image is the class that wraps every picture in the fastai library. It is subclassed to create ImageSegment and ImageBBox when dealing with segmentation and object detection tasks.

class Image[source]

Image(px:Tensor) :: ItemBase

Support applying transforms to image data in px.

Most of the functions of the Image class deal with the internal pipeline of transforms, so they are only shown at the end of this page. The easiest way to create one is through the function open_image.


open_image(fn:PathOrStr) → Image

Return Image object created from image in file fn.

img = open_image('imgs/cat_example.jpg')