GaussianBlur¶
- class torchvision.transforms.GaussianBlur(kernel_size, sigma=(0.1, 2.0))[source]¶
Blurs image with randomly chosen Gaussian blur. If the image is torch Tensor, it is expected to have […, C, H, W] shape, where … means an arbitrary number of leading dimensions.
- Parameters:
kernel_size (int or sequence) – Size of the Gaussian kernel.
sigma (float or tuple of python:float (min, max)) – Standard deviation to be used for creating kernel to perform blurring. If float, sigma is fixed. If it is tuple of float (min, max), sigma is chosen uniformly at random to lie in the given range.
- Returns:
Gaussian blurred version of the input image.
- Return type:
PIL Image or Tensor
Examples using
GaussianBlur
:Illustration of transforms- forward(img: Tensor) Tensor [source]¶
- Parameters:
img (PIL Image or Tensor) – image to be blurred.
- Returns:
Gaussian blurred image
- Return type:
PIL Image or Tensor