transforms.randomresizedcrop
时间: 2023-10-28 19:31:42 浏览: 45
transforms.RandomResizedCrop is a data augmentation technique in PyTorch that randomly crops and resizes an image. It is commonly used in the training of deep learning models for computer vision tasks to increase the variability of the input data and improve the model's robustness.
The function takes the following parameters:
- size: the desired output size of the cropped image
- scale: the range of the cropped area's aspect ratio
- ratio: the range of the cropped area's aspect ratio
- interpolation: the method used to resize the image
The function randomly chooses a crop size and aspect ratio from the given range, crops the image accordingly, and resizes it to the specified size using the chosen interpolation method. The resulting image is returned as a tensor.
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