Fine-tuning : Check failed: crop_size == data_mean_.height()

[cicido]

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Issue summary

where I run examples/02-fine-tuning.ipyb， there are erreos as follows:

F1121 15:29:51.496075 21338 data_transformer.cpp:258] Check failed: crop_size == data_mean_.height() (227 vs. 256)
*** Check failure stack trace: ***
Aborted (core dumped)
I find in the function:
def style_net(train=True, learn_all=False, subset=None):
if subset is None:
subset = 'train' if train else 'test'
source = caffe_root + 'data/flickr_style/%s.txt' % subset
transform_param = dict(mirror=train, crop_size=227,
mean_file=caffe_root + 'data/ilsvrc12/imagenet_mean.binaryproto')
style_data, style_label = L.ImageData(
transform_param=transform_param, source=source,
batch_size=50, new_height=256, new_width=256, ntop=2)
return caffenet(data=style_data, label=style_label, train=train,
num_classes=NUM_STYLE_LABELS,
classifier_name='fc8_flickr',
learn_all=learn_all)

Your system configuration

Operating system: CentOS 7
Compiler: g++ (GCC) 4.8.5 20150623 (Red Hat 4.8.5-16)
CUDA version (if applicable): 8.0
CUDNN version (if applicable):6.0
BLAS: open
Python or MATLAB version (for pycaffe and matcaffe respectively):
Python 3.6.1 |Anaconda 4.4.0 (64-bit)| (default, May 11 2017, 13:09:58)

[cicido]

already solved.
just comment the mean-file
#4113