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warnings.warn(f"Importing from {name} is deprecated, please import via timm.layers", FutureWarning)
Used GPU: 0
Start to load data from directory: /Paper_Data/LKK/3DUX-Net-main/3DUX-Net-main/AMOS2022
Finished loading all training samples from dataset: amos!
Number of classes for segmentation: 16
/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/utils/deprecate_utils.py:321: FutureWarning: monai.transforms.croppad.dictionary CropForegroundd.init:allow_smaller: Current default value of argument allow_smaller=True has been deprecated since version 1.2. It will be changed to allow_smaller=False in version 1.5.
warn_deprecated(argname, msg, warning_category)
Cropping 2 sub-volumes for training!
Performed Data Augmentations for all samples!
Start caching datasets!
Loading dataset: 0%| | 0/24 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/transform.py", line 141, in apply_transform
return _apply_transform(transform, data, unpack_items, lazy, overrides, log_stats)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/transform.py", line 98, in _apply_transform
return transform(data, lazy=lazy) if isinstance(transform, LazyTrait) else transform(data)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/io/dictionary.py", line 163, in call
data = self.loader(d[key], reader)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/io/array.py", line 264, in call
img = reader.read(filename)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/image_reader.py", line 491, in read
ds = pydicom.dcmread(fp=name, **kwargs)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/pydicom/filereader.py", line 1030, in dcmread
dataset = read_partial(
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/pydicom/filereader.py", line 778, in read_partial
preamble = read_preamble(fileobj, force)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/pydicom/filereader.py", line 723, in read_preamble
raise InvalidDicomError(
pydicom.errors.InvalidDicomError: File is missing DICOM File Meta Information header or the 'DICM' prefix is missing from the header. Use force=True to force reading.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Paper_Data/LKK/3DUX-Net-main/3DUX-Net-main/main_train.py", line 79, in
train_ds = CacheDataset(
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/dataset.py", line 809, in init
self.set_data(data)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/dataset.py", line 836, in set_data
self._cache = self._fill_cache(indices)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/dataset.py", line 865, in _fill_cache
return list(tqdm(p.imap(self._load_cache_item, indices), total=len(indices), desc="Loading dataset"))
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/tqdm/std.py", line 1181, in iter
for obj in iterable:
File "/root/anaconda3/envs/3duxnet/lib/python3.9/multiprocessing/pool.py", line 870, in next
raise value
File "/root/anaconda3/envs/3duxnet/lib/python3.9/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/dataset.py", line 878, in _load_cache_item
item = self.transform(item, end=first_random, threading=True)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/compose.py", line 335, in call
result = execute_compose(
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/compose.py", line 111, in execute_compose
data = apply_transform(
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/transform.py", line 171, in apply_transform
raise RuntimeError(f"applying transform {transform}") from e
RuntimeError: applying transform <monai.transforms.io.dictionary.LoadImaged object at 0x7fde74c52910>
The text was updated successfully, but these errors were encountered:
warnings.warn(f"Importing from {name} is deprecated, please import via timm.layers", FutureWarning)
Used GPU: 0
Start to load data from directory: /Paper_Data/LKK/3DUX-Net-main/3DUX-Net-main/AMOS2022
Finished loading all training samples from dataset: amos!
Number of classes for segmentation: 16
/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/utils/deprecate_utils.py:321: FutureWarning: monai.transforms.croppad.dictionary CropForegroundd.init:allow_smaller: Current default value of argument
allow_smaller=True
has been deprecated since version 1.2. It will be changed toallow_smaller=False
in version 1.5.warn_deprecated(argname, msg, warning_category)
Cropping 2 sub-volumes for training!
Performed Data Augmentations for all samples!
Start caching datasets!
Loading dataset: 0%| | 0/24 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/transform.py", line 141, in apply_transform
return _apply_transform(transform, data, unpack_items, lazy, overrides, log_stats)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/transform.py", line 98, in _apply_transform
return transform(data, lazy=lazy) if isinstance(transform, LazyTrait) else transform(data)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/io/dictionary.py", line 163, in call
data = self.loader(d[key], reader)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/io/array.py", line 264, in call
img = reader.read(filename)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/image_reader.py", line 491, in read
ds = pydicom.dcmread(fp=name, **kwargs)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/pydicom/filereader.py", line 1030, in dcmread
dataset = read_partial(
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/pydicom/filereader.py", line 778, in read_partial
preamble = read_preamble(fileobj, force)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/pydicom/filereader.py", line 723, in read_preamble
raise InvalidDicomError(
pydicom.errors.InvalidDicomError: File is missing DICOM File Meta Information header or the 'DICM' prefix is missing from the header. Use force=True to force reading.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Paper_Data/LKK/3DUX-Net-main/3DUX-Net-main/main_train.py", line 79, in
train_ds = CacheDataset(
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/dataset.py", line 809, in init
self.set_data(data)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/dataset.py", line 836, in set_data
self._cache = self._fill_cache(indices)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/dataset.py", line 865, in _fill_cache
return list(tqdm(p.imap(self._load_cache_item, indices), total=len(indices), desc="Loading dataset"))
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/tqdm/std.py", line 1181, in iter
for obj in iterable:
File "/root/anaconda3/envs/3duxnet/lib/python3.9/multiprocessing/pool.py", line 870, in next
raise value
File "/root/anaconda3/envs/3duxnet/lib/python3.9/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/data/dataset.py", line 878, in _load_cache_item
item = self.transform(item, end=first_random, threading=True)
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/compose.py", line 335, in call
result = execute_compose(
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/compose.py", line 111, in execute_compose
data = apply_transform(
File "/root/anaconda3/envs/3duxnet/lib/python3.9/site-packages/monai/transforms/transform.py", line 171, in apply_transform
raise RuntimeError(f"applying transform {transform}") from e
RuntimeError: applying transform <monai.transforms.io.dictionary.LoadImaged object at 0x7fde74c52910>
The text was updated successfully, but these errors were encountered: