Closed janhenriklambrechts closed 3 years ago
Hello,
I am sorry to hear that you are having this problem. I was using python 3.7 but have confirmed 3.8 and 3.9 also work as well. But don't worry, I have copied the mean_std for your convience:
{'ucf101std': array([0.10898684, 0.10810246, 0.10679939]),
'omniglotstd': array([0.27046935, 0.27046935, 0.27046935]),
'caltech256mean': array([0.55177064, 0.53382816, 0.50567107]),
'vgg-petsstd': array([0.25922821, 0.25420126, 0.26146911]),
'sketchesmean': array([0.97960958, 0.97960958, 0.97960958]),
'dtdstd': array([0.25226877, 0.2409176 , 0.2499409 ]),
'vgg-petsmean': array([0.47812268, 0.44583364, 0.39578528]),
'svhnmean': [0.4376821, 0.4437697, 0.47280442],
'daimlerpedclsmean': array([0.48203529, 0.48203529, 0.48203529]),
'mnistmean': array([0.18228742, 0.18228742, 0.18228742]),
'planktonstd': array([0.16591533, 0.16591533, 0.16591533]),
'gtsrbstd': array([0.27560347, 0.26576119, 0.27089863]),
'planktonmean': array([0.94033073, 0.94033073, 0.94033073]),
'imagenet12mean': [0.485, 0.456, 0.406],
'vgg-flowersstd': array([0.28509808, 0.23842338, 0.2639633 ]),
'gtsrbmean': array([0.33921263, 0.3117836 , 0.32047045]),
'ucf101mean': array([0.49953101, 0.49880386, 0.49981996]),
'svhnstd': [0.19803012, 0.20101562, 0.19703614],
'dtdmean': array([0.52696497, 0.47025164, 0.42396662]),
'mit-indoorstd': array([0.25213846, 0.24675795, 0.24937516]),
'aircraftstd': array([0.21070221, 0.20508901, 0.23729657]),
'cifar100mean': [0.50705882, 0.48666667, 0.44078431],
'mit-indoormean': array([0.48822609, 0.43138942, 0.37296835]),
'omniglotmean': array([0.08099839, 0.08099839, 0.08099839]),
'aircraftmean': array([0.47983041, 0.51074066, 0.53437998]),
'caltech256std': array([0.31026209, 0.30732538, 0.32094492]),
'sketchesstd': array([0.06532731, 0.06532731, 0.06532731]),
'daimlerpedclsstd': array([0.23612616, 0.23612616, 0.23612616]),
'imagenet12std': [0.229, 0.224, 0.225],
'vgg-flowersmean': array([0.43414682, 0.38309883, 0.29714763]),
'cifar100std': [0.26745098, 0.25647059, 0.27607843],
'mniststd': array([0.38076293, 0.38076293, 0.38076293])}
Hope that helps.
Thank you so much! I have no clue why this unpickling error happens but this solves my problem. Thanks again
Hi there, I have tried multiple versions of python to unpickle the
dict_mean_std
but I keep getting aKeyError: 10
due to trying to unpickle in a different python version. Would you be so kind to tell me either the python version you used to pickle this object or the actual mean and std values. Thanks in advance!