rrjia opened a new issue #18262:
URL: https://github.com/apache/incubator-mxnet/issues/18262
## Description
mxnet dataLoader error
I defined myself dataset, it work fine , but combine with
gluon.data.dataLoader it can not work.
class MarketDataset(dataset.Dataset):
def __init__(self, name, data_root_path, transform=None):
self.data_dir = data_root_path
self.name = name
self.imgs = []
self._transform = transform
if self.name == "train":
sub_dir = os.path.join(self.data_dir, "bounding_box_train")
elif self.name == 'test':
sub_dir = os.path.join(self.data_dir, "bounding_box_test")
elif self.name == 'query':
sub_dir = os.path.join(self.data_dir, "query")
else:
print("name error !! ")
raise NotImplementedError('Dataset: {} not
exist.'.format(self.name))
file_names = os.listdir(sub_dir)
for file_name in file_names:
if ".jpg" in file_name and "-1" not in file_name:
file_path = os.path.join(sub_dir, file_name)
self.imgs.append(file_path)
self._id2label = {_id: index for index, _id in
enumerate(self.unique_ids)}
def __getitem__(self, idx):
path = self.imgs[idx]
target = self._id2label[self.id(path)]
img = image.imread(path)
if self.transform is not None:
img = self.transform(img)
return img, target
def __len__(self):
return len(self.imgs)
@staticmethod
def id(file_path):
"""
:param file_path: unix style file path
:return: person id
"""
return int(os.path.split(file_path)[-1].split("_")[0])
@staticmethod
def camera(file_path):
"""
:param file_path: unix style file path
:return: camera id
"""
return int(os.path.split(file_path)[-1].split("_")[1][1])
@property
def ids(self):
"""
:return: person id list corresponding to dataset image paths
"""
return [self.id(path) for path in self.imgs]
@property
def unique_ids(self):
"""
:return: unique person ids in ascending order
"""
return sorted(set(self.ids))
@property
def cameras(self):
"""
:return: camera id list corresponding to dataset image paths
"""
return [self.camera(path) for path in self.imgs]
### Error Message
File
"D:\programFiles\Anaconda3\lib\site-packages\mxnet\gluon\data\dataloader.py",
line 451, in __next__
batch = pickle.loads(ret.get()) if self._dataset is None else ret.get()
File "D:\programFiles\Anaconda3\lib\multiprocessing\pool.py", line 670, in
get
raise self._value
File "D:\programFiles\Anaconda3\lib\multiprocessing\pool.py", line 119, in
worker
result = (True, func(*args, **kwds))
File
"D:\programFiles\Anaconda3\lib\site-packages\mxnet\gluon\data\dataloader.py",
line 407, in _thread_worker_fn
return batchify_fn([dataset[i] for i in samples])
File
"D:\programFiles\Anaconda3\lib\site-packages\mxnet\gluon\data\dataloader.py",
line 147, in default_mp_batchify_fn
return [default_mp_batchify_fn(i) for i in data]
File
"D:\programFiles\Anaconda3\lib\site-packages\mxnet\gluon\data\dataloader.py",
line 147, in <listcomp>
return [default_mp_batchify_fn(i) for i in data]
File
"D:\programFiles\Anaconda3\lib\site-packages\mxnet\gluon\data\dataloader.py",
line 149, in default_mp_batchify_fn
data = np.asarray(data)
File "D:\programFiles\Anaconda3\lib\site-packages\numpy\core\_asarray.py",
line 85, in asarray
return array(a, dtype, copy=False, order=order)
File
"D:\programFiles\Anaconda3\lib\site-packages\mxnet\gluon\data\dataset.py", line
124, in __getitem__
return self._fn(*item)
TypeError: 'NDArray' object is not callable
## To Reproduce
(If you developed your own code, please provide a short script that
reproduces the error. For existing examples, please provide link.)
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