Imbalanced Classes

[SURABHI-GUPTA]

Hi,

For handling imbalance, I tried to duplicate the rows of minority class in train.csv file itself. But I am getting an error while joining the paths:

Traceback (most recent call last):
File "/home/surabhi/celeba-dataset/classify_bl_aug.py", line 302, in
model_conv = train_model(model_conv, optimizer_conv, exp_lr_scheduler, num_epochs=10)
File "/home/surabhi/celeba-dataset/classify_bl_aug.py", line 207, in train_model
for inputs, labels in dataloaders[phase]:
File "/home/dataset/packages/pytorch/1.0.0/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 637, in next
return self._process_next_batch(batch)
File "/home/dataset/packages/pytorch/1.0.0/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 658, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
TypeError: Traceback (most recent call last):
File "/home/dataset/packages/pytorch/1.0.0/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 138, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/dataset/packages/pytorch/1.0.0/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 138, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/surabhi/celeba-dataset/classify_bl_aug.py", line 69, in getitem
img = Image.open(os.path.join(self.img_dir, self.img_names[index]))
File "/home/dataset/packages/python/3.7/lib/python3.7/posixpath.py", line 94, in join
genericpath._check_arg_types('join', a, *p)
File "/home/dataset/packages/python/3.7/lib/python3.7/genericpath.py", line 149, in _check_arg_types
(funcname, s.class.name)) from None
TypeError: join() argument must be str or bytes, not 'int64'

[rasbt]

Was there maybe a formatting issue in the CSV file? Since you closed that issue, I assume you resolved it?

[SURABHI-GUPTA]

yes... it was resolved... thanks