X, Y = iterator.next() in Line 63 of test.py is crashing

[ChidanandKumarKS]

I have given appropriate datasets along with proper folder and train and annotation datasets properly. The inference function test.py at line 63 is crashing

Below error crashes
X, Y = iterator.next()
ValueError: too many values to unpack.

Any solutions to the above problem would be really helpful.

Thanks
Kumar

[Nqabz]

can you post your data_loader here? How are you setting up the iterator?

[ChidanandKumarKS]

the iterator has been pointed to datasetloaders taken from https://github.com/fvisin/dataset_loaders

Below is the iterator
test_iter = CamvidDataset(which_set='test',
batch_size=batch_size[2],
seq_per_video=0,
seq_length=0,
crop_size=None,
get_one_hot=False,
get_01c=False,
shuffle_at_each_epoch=False,
overlap=0,
use_threads=True,
save_to_dir=False)

Kindly suggest the solution ,

[ManyuChang]

@ChidanandKumarKS Hello! Have you solved the problem?

[kuixu]

I have solved it. See issue23. May that would help you. #23

[ManyuChang]

I solved it by changing
X,Y = iterator.next()
into
Data = iterator.next()
X = Data['raw_data']
Y = Data['labels']
And I get the right result.