Is there a bug in imgaug

[lsy643]

Hi, I have been recently using your great tensorpack, but I think the imgaug part may seem exists some bug.
The code below just flip a dataflow, and the result is rather confusing. Perhaps you can try and see the result?

`
%matplotlib inline
import matplotlib.pyplot as plt
from tensorpack import *
from tensorpack.tfutils.symbolic_functions import *
from tensorpack.tfutils.summary import *

cifar10 = dataset.Cifar10('train', shuffle=False)
cifar10.reset_state()
for img_label in cifar10.get_data():
plt.figure()
plt.imshow(img_label[0])
break

flip_cifar10 = AugmentImageComponent(cifar10, [imgaug.Flip(horiz=True, prob=1.0),])
flip_cifar10.reset_state()
for img_label in flip_cifar10.get_data():
plt.figure()
plt.imshow(img_label[0])
break
`

[ppwwyyxx]

haven't had a chance to look. is there still an issue?