Library Version Mismatch

[pandaaditi91-1]

AttributeError: 'Delaunay' object has no attribute 'vertices'

This occurs in all my runs.

[pandaaditi91-1]

Full trace:

**Using device: cuda

Tesla V100-SXM2-16GB
Memory Usage:
Allocated: 0.0 GB
Cached: 0.0 GB
Namespace(root_path='./data/Synapse/train_npz', test_path='./data/Synapse/test_vol_h5', dataset='Synapse', list_dir='./lists/lists_Synapse', num_classes=9, output_dir='./model_out', max_iterations=90000, max_epochs=400, batch_size=20, num_workers=4, eval_interval=20, model_name='synapse', n_gpu=1, deterministic=1, base_lr=0.04166666666666667, img_size=224, z_spacing=1, seed=1234, zip=False, cache_mode='part', resume=None, accumulation_steps=None, use_checkpoint=False, amp_opt_level='O1', tag=None, eval=False, throughput=False, module='networks.DAEFormer.DAEFormer')
The length of train set is: 2211
111 iterations per epoch. 44400 max iterations
0%| | 0/400 [00:02<?, ?it/s]
Traceback (most recent call last):
File "/content/DAEFormer/train.py", line 126, in
trainer[dataset_name](args, net, args.output_dir)
File "/content/DAEFormer/trainer.py", line 126, in trainer_synapse
for i_batch, sampled_batch in enumerate(trainloader):
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 630, in next
data = self._next_data()
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1345, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1371, in _process_data
data.reraise()
File "/usr/local/lib/python3.10/dist-packages/torch/_utils.py", line 694, in reraise
raise exception
AttributeError: Caught AttributeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/utils/worker.py", line 308, in worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/utils/fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/utils/fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/content/DAEFormer/datasets/dataset_synapse.py", line 108, in getitem
image,label = augment_seg(self.img_aug, image, label)
File "/content/DAEFormer/datasets/dataset_synapse.py", line 30, in augment_seg
image_aug = aug_det.augment_image( img )
File "/usr/local/lib/python3.10/dist-packages/imgaug/augmenters/meta.py", line 771, in augment_image
return self.augment_images([image], hooks=hooks)[0]
File "/usr/local/lib/python3.10/dist-packages/imgaug/augmenters/meta.py", line 822, in augment_images
return self.augment_batch(
File "/usr/local/lib/python3.10/dist-packages/imgaug/augmenters/meta.py", line 641, in augment_batch
batch_inaug = self.augment_batch(
File "/usr/local/lib/python3.10/dist-packages/imgaug/augmenters/meta.py", line 3403, in augment_batch
batch_sub = self[augmenter_index].augment_batch(
File "/usr/local/lib/python3.10/dist-packages/imgaug/augmenters/meta.py", line 641, in augment_batch
batch_inaug = self.augment_batch(
File "/usr/local/lib/python3.10/dist-packages/imgaug/augmenters/geometric.py", line 3050, in augment_batch
batch.images = self._augment_images_by_samples(batch.images,
File "/usr/local/lib/python3.10/dist-packages/imgaug/augmenters/geometric.py", line 3099, in _augment_images_by_samples
transformer = self._get_transformer(
File "/usr/local/lib/python3.10/dist-packages/imgaug/augmenters/geometric.py", line 3353, in _get_transformer
matrix.estimate(points_src[:, ::-1], points_dest[:, ::-1])
File "/usr/local/lib/python3.10/dist-packages/skimage/transform/_geometric.py", line 984, in estimate
for tri in self._tesselation.vertices:
AttributeError: 'Delaunay' object has no attribute 'vertices'**