using claasify.lua on cifar10 gives wrong results

[Soumali13]

I tried to train with cifar10 and got the model_best.t7 with resnet-44. Now when I do classify.lua with the test images of cifar10 one by one, it always predicting cat. I have made the following changes in classify.lua(changed the imagenetLabel to use cifar10 label file that i created and also changed the mean(std) and transform in the classify.lua according to the mean(std) used in cifar10 in /datasets/cifar10.lua)

Can someone help me please from the authors