T.RandomResize()
时间: 2024-05-11 18:14:33 浏览: 11
T.RandomResize() is an operation from the Torchvision package of PyTorch that randomly resizes an image while keeping its aspect ratio constant. The operation takes in an input image and outputs an image that is resized to a random size within a given range.
The syntax for using T.RandomResize() is as follows:
```
transform = transforms.Compose([
transforms.RandomResize((height_min, height_max))
])
resized_image = transform(input_image)
```
Here, the `height_min` and `height_max` parameters define the minimum and maximum height of the resized image. The width of the resized image is calculated based on the aspect ratio of the input image.
T.RandomResize() can be used as a data augmentation technique to increase the variability of the training data and improve the performance of the deep learning model.
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