In this article, we will discuss the RandomHorizontalFlip() Method in PyTorch Python.
RandomHorizontalFlip() method
RandomHorizontalFlip() method of torchvision.transforms module is used to horizontally flip the given image at a random angle with a given probability. This method accepts a PIL and tensor image as input. The tensor image is a PyTorch tensor with shape [C, H, W], where C represents the number of channels and H, W represents the height and width respectively. This method returns a horizontally flipped image and an original image if the probability P is 1 or 0 respectively, if P is in the range between 0 to 1 then P is the probability to return the horizontally flipped image.
Syntax: torchvision.transforms.RandomHorizontalFlip(p)(img)
Parameter:
- p: p is the probability of the image being flipped at a random angle.
- img: input image to be flipped.
Returns: This method returns a randomly flipped image at a random angle.
The below image is used for demonstration:
Example 1:
In this example, we flip an image using RandomHorizontalFlip() Method when the probability is 1.
Python3
# import required libraries import torch import torchvision.transforms as T from PIL import Image # read input image from computer img = Image.open('a.png') # define a transform transform = T.RandomHorizontalFlip(p=1) # apply above defined transform to # input image img = transform(img) # display result img.show() |
Output:
Example 2:
In this example, we flip an image using RandomHorizontalFlip() Method when the probability is in the range of 0 to 1.
Python3
# import required libraries import torch import torchvision.transforms as T from PIL import Image # read input image from computer img = Image.open('img.png') # define a transform transform = T.RandomHorizontalFlip(p=0.5) # apply above defined transform to # input image img = transform(img) # display result img.show() |
Output:
