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ImageOps.expand

时间: 2023-05-18 18:05:26 浏览: 139

pytorch中tensor.expand()和tensor.expand_as()函数详解

tensor.expend()函数 >>> import torch >>> a=torch.tensor([[2],[3],[4]]) >>> print(a.size()) torch.Size([3, 1]) >>> a.expand(3,2) tensor([[2, 2], [3, 3], [4, 4]]) >>> a tensor([[2], [3], [4]]) 可以看出expand()函数括号里面为变形后的size大小，而且原来的tensor和tensor.expand()是不共享内存的。 tensor.expand_as()函数 >>> b=

ImageOps.expand is a method in the Python Imaging Library (PIL) that is used to expand an image by adding borders around it. The method takes in an image and a border size as parameters and returns a new image with the specified border size. Syntax: ImageOps.expand(image, border, fill=None) Parameters: - image: The image to be expanded. - border: The size of the border to be added around the image. It can be a single integer value or a tuple of four integers representing the left, top, right, and bottom borders respectively. - fill: The color to be used for the border. It can be a single integer value or a tuple of three integers representing the RGB color values. Example: ``` from PIL import Image, ImageOps # Open the image image = Image.open('image.jpg') # Add a 20-pixel border around the image border_size = 20 border_color = (255, 255, 255) new_image = ImageOps.expand(image, border_size, fill=border_color) # Save the new image new_image.save('new_image.jpg') ``` In this example, we open an image and add a 20-pixel white border around it using the ImageOps.expand method. The new image is then saved as a new file.

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