def __getitem__(self, index):
"""Returns the item at index idx. """
category = torch.tensor(self.cat_idxs[index],
dtype=torch.long,
device=self.device)
data = TriangleMesh.from_off(self.filepaths[index])
data.to(self.device)
if self.transform:
data = self.transform(data)
return data, category
def load_all():
base = Path('data/ModelNet40')
all_models = list(base.glob('**/*.off'))
bad = []
for model in all_models:
try:
data = TriangleMesh.from_off(model)
samp = data.sample(16)
except:
print(model)
bad.append(model)
raise
print(bad)
def _get_data(self, index):
data = TriangleMesh.from_off(self.filepaths[index])
return data
