self.transform(img_c).unsqueeze(0).cuda()
时间: 2024-05-29 20:11:37 浏览: 12
This code snippet is using PyTorch to transform an image and then sending it to the GPU.
`self.transform` is likely an instance of a `torchvision.transforms` object, which is used to apply various image transformations such as resizing, cropping, flipping, rotation, normalization, etc.
`img_c` is likely a PIL (Python Imaging Library) image object.
`self.transform(img_c)` applies the transformations to the image and returns a transformed image.
`.unsqueeze(0)` adds a new dimension to the tensor at index 0. This is done because PyTorch expects input tensors to have a batch dimension, even if the batch size is 1.
`.cuda()` sends the tensor to the GPU for faster processing. This assumes that a CUDA-enabled GPU is available and PyTorch is configured to use it.
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