How to load an image and show the image using Keras?

To load and display an image using Keras, we use the load_img() method from keras.preprocessing.image. This method loads an image file and allows us to set a target size for display.

Steps

• Import the image module from keras.preprocessing
• Use load_img() method to load the image file
• Set the target size of the image using the target_size parameter
• Display the image using the show() method

Syntax

The basic syntax for loading an image is ?

keras.preprocessing.image.load_img(path, target_size=None)

Parameters

• path ? Path to the image file
• target_size ? Tuple of integers (height, width) to resize the image

Example

Here's how to load and display an image using Keras ?

from keras.preprocessing import image

# Load image with target size
img = image.load_img('bird.jpg', target_size=(350, 750))

# Display the image
img.show()

Loading Image Without Resizing

You can also load an image without specifying a target size ?

from keras.preprocessing import image

# Load image with original size
img = image.load_img('bird.jpg')

# Display the image
img.show()

Working with Different Image Formats

Keras supports various image formats including JPEG, PNG, BMP, and TIFF ?

from keras.preprocessing import image

# Load different image formats
jpg_img = image.load_img('image.jpg', target_size=(224, 224))
png_img = image.load_img('image.png', target_size=(224, 224))

jpg_img.show()
png_img.show()

Output

The output will display the loaded image with the specified dimensions ?

Conclusion

Use keras.preprocessing.image.load_img() to load images with optional resizing. The show() method displays the loaded image, making it useful for image preprocessing in deep learning workflows.