Has anyone encountered and solved the below error:
Error:
ValueError: num_samples should be a positive integeral value, but got num_samples=0
Notebook
copied code from lesson2-download.ipynb, but used on my own dataset
CODE
np.random.seed(42)
bs=20
data = ImageDataBunch.from_folder(path, train=".", valid_pct=0.2, ds_tfms=get_transforms(), size=224, \
num_workers=4, bs=bs)
ERROR:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-7-167e0c12f957> in <module>
1 data = ImageDataBunch.from_folder(path, train=".", valid_pct=0.2, ds_tfms=get_transforms(), size=224, \
----> 2 num_workers=4, bs=bs)
/opt/anaconda3/lib/python3.6/site-packages/fastai/vision/data.py in from_folder(cls, path, train, valid, test, valid_pct, **kwargs)
298 if test: datasets.append(ImageClassificationDataset.from_single_folder(
299 path/test,classes=datasets[0].classes))
--> 300 return cls.create(*datasets, path=path, **kwargs)
301
302 @classmethod
/opt/anaconda3/lib/python3.6/site-packages/fastai/vision/data.py in create(cls, train_ds, valid_ds, test_ds, path, bs, ds_tfms, num_workers, tfms, device, collate_fn, size, **kwargs)
283 if ds_tfms or size: datasets = transform_datasets(*datasets, tfms=ds_tfms, size=size, **kwargs)
284 dls = [DataLoader(*o, num_workers=num_workers) for o in
--> 285 zip(datasets, (bs,bs*2,bs*2), (True,False,False))]
286 return cls(*dls, path=path, device=device, tfms=tfms, collate_fn=collate_fn)
287
/opt/anaconda3/lib/python3.6/site-packages/fastai/vision/data.py in <listcomp>(.0)
282 if test_ds is not None: datasets.append(test_ds)
283 if ds_tfms or size: datasets = transform_datasets(*datasets, tfms=ds_tfms, size=size, **kwargs)
--> 284 dls = [DataLoader(*o, num_workers=num_workers) for o in
285 zip(datasets, (bs,bs*2,bs*2), (True,False,False))]
286 return cls(*dls, path=path, device=device, tfms=tfms, collate_fn=collate_fn)
/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py in __init__(self, dataset, batch_size, shuffle, sampler, batch_sampler, num_workers, collate_fn, pin_memory, drop_last, timeout, worker_init_fn)
800 if sampler is None:
801 if shuffle:
--> 802 sampler = RandomSampler(dataset)
803 else:
804 sampler = SequentialSampler(dataset)
/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/sampler.py in __init__(self, data_source, replacement, num_samples)
62 if not isinstance(self.num_samples, int) or self.num_samples <= 0:
63 raise ValueError("num_samples should be a positive integeral "
---> 64 "value, but got num_samples={}".format(self.num_samples))
65 if not isinstance(self.replacement, bool):
66 raise ValueError("replacement should be a boolean value, but got "
ValueError: num_samples should be a positive integeral value, but got num_samples=0
That is the code before I run resnet50:
learn = create_cnn(data, models.resnet50, metrics=error_rate)