It is now possible to resize images by settingtorchvision.transforms.v2.Resize(max_size=N): this will resize the longest edge of the image exactly tomax_size, making sure the image dimension don't exceed this value.Read more on the docs!
RandomRotation是随机旋转,参数degrees表示旋转角度的范围,旋转角度可以是数字也可以是序列,如果旋转角度是数字,例如:degrees=30,则范围是(-30,30);参数resample表示重采样,其值包括:PIL.Image.NEAREST, PIL.Image.BILINEAR, PIL.Image.BICUBIC。参数expand表示扩展,其值为布尔类型,如果值为True,会保留旋转后的整个...
resize((self.img_size, self.img_size), Image.BILINEAR) mask = mask.resize((self.img_size, self.img_size), Image.NEAREST) #转Tensor img = T.functional.to_tensor(img) mask = torch.from_numpy(np.array(mask)).long() # 0~20 # 数据增强 if self.augment: if random.random(...
The C++ signature for resize_, resize_as_, resize_as_sparse_, sparse_resize_, and sparse_resize_and_clear_ has changed to return a const Tensor& instead of a Tensor&. This may break users’ TORCH_LIBRARY operators that called these functions but returned a non-const Tensor&. Ideally, us...
class torchvision.transforms.Resize(size, interpolation=2) # 功能:重置图像分辨率 # 参数: size - If size is an int, if height > width, then image will be rescaled to (size * height / width, size),所以建议 size 设定为 h*w interpolation - 插值方法选择,默认为 PIL.Image.BILINEAR ...
is always used. If ``img`` is Tensor, the flag is False bydefaultand can be set Truefor``InterpolationMode.BILINEAR`` only mode. .. warning:: There is no autodiff supportfor``antialias=True`` option with input ``img`` as Tensor.""" ...
1000- pytorch_compact_bilinear_pooling v1: This repository has a pure Python implementation of Compact Bilinear Pooling and Count Sketch for PyTorch. 1000- CompactBilinearPooling-Pytorch v2: (Yang Gao, et al.) A Pytorch Implementation for Compact Bilinear Pooling. 1000- FewShotLearning: Pytorch im...
pytorch_compact_bilinear_pooling v1: This repository has a pure Python implementation of Compact Bilinear Pooling and Count Sketch for PyTorch. CompactBilinearPooling-Pytorch v2: (Yang Gao, et al.) A Pytorch Implementation for Compact Bilinear Pooling. ...
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{'val': Dataset ImageFolder Number of datapoints: 153 Root Location: F:/工作学习/编程与操作系统/Pytorch/datasets/hymenoptera_data\val Transforms (if any): Compose( Resize(size=224, interpolation=PIL.Image.BILINEAR) CenterCrop(size=(224, 224)) ToTensor() Normalize(mean=[0.485, 0.456, 0.406],...