Safran/KPConv-PyTorch
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This commit is contained in:
HuguesTHOMAS 2020-05-07 11:21:18 -04:00
parent 99f0c8bb20
commit 5ad1cf33b5
1 changed files with 4 additions and 4 deletions
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8
datasets/SemanticKitti.py
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@ -776,8 +776,8 @@ class SemanticKittiSampler(Sampler):
gen_classes.append(class_indices * 0 + c) gen_classes.append(class_indices * 0 + c)
# Update potentials # Update potentials
self.dataset.potentials[class_indices] = np.ceil(self.dataset.potentials[class_indices]) self.dataset.potentials[class_indices] = torch.ceil(self.dataset.potentials[class_indices])
self.dataset.potentials[class_indices] += np.random.rand(class_indices.shape[0]) * 0.1 + 0.1 self.dataset.potentials[class_indices] += torch.from_numpy(np.random.rand(class_indices.shape[0]) * 0.1 + 0.1)
# Stack the chosen indices of all classes # Stack the chosen indices of all classes
gen_indices = torch.cat(gen_indices, dim=0) gen_indices = torch.cat(gen_indices, dim=0)
@ -789,8 +789,8 @@ class SemanticKittiSampler(Sampler):
gen_classes = gen_classes[rand_order] gen_classes = gen_classes[rand_order]
# Update potentials (Change the order for the next epoch) # Update potentials (Change the order for the next epoch)
self.dataset.potentials[gen_indices] = torch.ceil(self.dataset.potentials[gen_indices]) #self.dataset.potentials[gen_indices] = torch.ceil(self.dataset.potentials[gen_indices])
self.dataset.potentials[gen_indices] += torch.from_numpy(np.random.rand(gen_indices.shape[0]) * 0.1 + 0.1) #self.dataset.potentials[gen_indices] += torch.from_numpy(np.random.rand(gen_indices.shape[0]) * 0.1 + 0.1)
# Update epoch inds # Update epoch inds
self.dataset.epoch_inds += gen_indices self.dataset.epoch_inds += gen_indices