本篇文章小编给大家分享一下pytorch实现HWC转CHW代码示例,文章代码介绍的很详细,小编觉得挺不错的,现在分享给大家供大家参考,有需要的小伙伴们可以来看看。
代码如下:
import torch import numpy as np from torchvision.transforms import ToTensor t = torch.tensor(np.arange(24).reshape(2,4,3)) print(t) #HWC 转CHW print(t.transpose(0,2).transpose(1,2)) print(t.permute(2,0,1)) print(ToTensor()(t.numpy()))
D:anacondapython.exe C:/Users/liuxinyu/Desktop/pytorch_test/day3/hwc转chw.py
tensor([[[ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8],
[ 9, 10, 11]],
[[12, 13, 14],
[15, 16, 17],
[18, 19, 20],
[21, 22, 23]]], dtype=torch.int32)
tensor([[[ 0, 3, 6, 9],
[12, 15, 18, 21]],
[[ 1, 4, 7, 10],
[13, 16, 19, 22]],
[[ 2, 5, 8, 11],
[14, 17, 20, 23]]], dtype=torch.int32)
tensor([[[ 0, 3, 6, 9],
[12, 15, 18, 21]],
[[ 1, 4, 7, 10],
[13, 16, 19, 22]],
[[ 2, 5, 8, 11],
[14, 17, 20, 23]]], dtype=torch.int32)
tensor([[[ 0, 3, 6, 9],
[12, 15, 18, 21]],
[[ 1, 4, 7, 10],
[13, 16, 19, 22]],
[[ 2, 5, 8, 11],
[14, 17, 20, 23]]], dtype=torch.int32)
Process finished with exit code 0