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import os | |
import torch | |
def mkdirs(paths): | |
if isinstance(paths, list) and not isinstance(paths, str): | |
for path in paths: | |
mkdir(path) | |
else: | |
mkdir(paths) | |
def mkdir(path): | |
if not os.path.exists(path): | |
os.makedirs(path) | |
def unnormalize(tens, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]): | |
# assume tensor of shape NxCxHxW | |
return tens * torch.Tensor(std)[None, :, None, None] + torch.Tensor( | |
mean)[None, :, None, None] |