如何解决PyTorch DataLoader 错误:“type”类型的对象没有 len()
我对编程很陌生,现在知道我的错误来自哪里。
class cows_train(Dataset):
def __init__(self,folder_path):
self.image_list = glob.glob(folder_path+'/content/cows/train')
self.data_len = len(self.image_list)
def __getitem__(self,index):
single_image_path = self.image_list[index]
im_as_im = Image.open(single_image_path)
im_as_np = np.asarray(im_as_im)/255
im_as_np = np.expand_dims(im_as_np,0)
im_as_ten = torch.from_numpy(im_as_np).float()
class_indicator_location = single_image_path.rfind('/content/cows/train/_annotations.csv')
label = int(single_image_path[class_indicator_location+2:class_indicator_location+3])
return (im_as_ten,label)
def __len__(self):
return self.data_len
这对于 DataLoader:
transform = transforms.Compose(
[transforms.ToTensor(),transforms.normalize((0.5,0.5,0.5),(0.5,0.5))])
batch_size = 4
trainset = cows_train
trainloader = torch.utils.data.DataLoader(dataset = trainset,batch_size=10,shuffle=True,num_workers=2)
classes = ('cow_left','cow_other')
我收到的输出:
TypeError Traceback (most recent call last)
<ipython-input-6-54702f98a725> in <module>()
6
7 trainset = cows_train
----> 8 trainloader = torch.utils.data.DataLoader(dataset = trainset,num_workers=2)
9
10 testset = cows_test
2 frames
/usr/local/lib/python3.7/dist-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,multiprocessing_context,generator,prefetch_factor,persistent_workers)
264 # Cannot statically verify that dataset is Sized
265 # Somewhat related: see NOTE [ Lack of Default `__len__` in Python Abstract Base Classes ]
--> 266 sampler = RandomSampler(dataset,generator=generator) # type: ignore
267 else:
268 sampler = SequentialSampler(dataset)
/usr/local/lib/python3.7/dist-packages/torch/utils/data/sampler.py in __init__(self,data_source,replacement,num_samples,generator)
100 "since a random permute will be performed.")
101
--> 102 if not isinstance(self.num_samples,int) or self.num_samples <= 0:
103 raise ValueError("num_samples should be a positive integer "
104 "value,but got num_samples={}".format(self.num_samples))
/usr/local/lib/python3.7/dist-packages/torch/utils/data/sampler.py in num_samples(self)
108 # dataset size might change at runtime
109 if self._num_samples is None:
--> 110 return len(self.data_source)
111 return self._num_samples
112
TypeError: object of type 'type' has no len()
问题是:我不明白为什么 typ 没有长度,在我看来它是定义的......有人请帮忙吗?
添加:这是代码中出现“return len(self.data_source)”的地方
def num_samples(self) -> int:
if self._num_samples is None:
return len(self.data_source)
return self._num_samples
解决方法
您没有正确创建数据集对象。目前,您:
audio_id
这只会将类类型分配给 trainset = cows_train
。要创建类的对象,您需要使用:
trainset
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