Describe the bug
The 03 example notebook is not working correctly on branch v0.3.0
To Reproduce
Steps to reproduce the behavior:
from torchsig.datasets.wideband_sig53 import WidebandSig53
import torchsig.transforms.transforms as ST
from torchsig.transforms.target_transforms.target_transforms import DescToListTuple
target_transform = ST.Compose([
DescToListTuple(),
])
ds = WidebandSig53(
root='/wbsig53',
train=False,
impaired=True,
transform=None,
target_transform=target_transform,
regenerate=False,
use_signal_data=True,
gen_batch_size=1,
use_gpu=True,
)
for i in range(len(ds)):
data, annotation = ds[i]
for label_obj_idx in range(len(annotation)):
print(annotation[label_obj_idx][0]
Describe the bug The 03 example notebook is not working correctly on branch v0.3.0
To Reproduce Steps to reproduce the behavior:
Expected behavior Plots should show.