Hi i tried your code and when i want to train with Levir dataset i get an error:
Namespace(b1=0.5, b2=0.999, batch_size=1, dataset_name='LEVIR-CD', epoch=0, img_height=256, img_width=256, lr=0.0002, n_cpu=4, n_epochs=10, root_path='/content/datasets/', sample_interval=2000, save_name='levir')
/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py:490: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
cpusetchecked))
890
[ WARN:0@1.952] global /io/opencv/modules/imgcodecs/src/loadsave.cpp (239) findDecoder imread('/content/datasets/LEVIR-CD_A2B_B2A/train/A/train_249.png'): can't open/read file: check file path/integrity
Traceback (most recent call last):
File "main.py", line 126, in
for i, batch in enumerate(dataloader):
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 530, in next
data = self._next_data()
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 1224, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 1250, in _process_data
data.reraise()
File "/usr/local/lib/python3.7/dist-packages/torch/_utils.py", line 457, in reraise
raise exception
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/content/datasets.py", line 28, in getitem
transformed_B = self.transforms_B(image=img_B)
File "/usr/local/lib/python3.7/dist-packages/albumentations/core/composition.py", line 190, in call
self._check_args(**data)
File "/usr/local/lib/python3.7/dist-packages/albumentations/core/composition.py", line 267, in _check_args
raise TypeError("{} must be numpy array type".format(data_name))
TypeError: image must be numpy array type
Hi i tried your code and when i want to train with Levir dataset i get an error: Namespace(b1=0.5, b2=0.999, batch_size=1, dataset_name='LEVIR-CD', epoch=0, img_height=256, img_width=256, lr=0.0002, n_cpu=4, n_epochs=10, root_path='/content/datasets/', sample_interval=2000, save_name='levir') /usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py:490: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary. cpusetchecked)) 890 [ WARN:0@1.952] global /io/opencv/modules/imgcodecs/src/loadsave.cpp (239) findDecoder imread('/content/datasets/LEVIR-CD_A2B_B2A/train/A/train_249.png'): can't open/read file: check file path/integrity Traceback (most recent call last): File "main.py", line 126, in
for i, batch in enumerate(dataloader):
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 530, in next
data = self._next_data()
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 1224, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 1250, in _process_data
data.reraise()
File "/usr/local/lib/python3.7/dist-packages/torch/_utils.py", line 457, in reraise
raise exception
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/content/datasets.py", line 28, in getitem
transformed_B = self.transforms_B(image=img_B)
File "/usr/local/lib/python3.7/dist-packages/albumentations/core/composition.py", line 190, in call
self._check_args(**data)
File "/usr/local/lib/python3.7/dist-packages/albumentations/core/composition.py", line 267, in _check_args
raise TypeError("{} must be numpy array type".format(data_name))
TypeError: image must be numpy array type