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Traceback (most recent call last):
File "train.py", line 30, in
model.optimize_parameters()
File "/home/ch/MeshCNN-master/models/mesh_classifier.py", line 66, in optimize_parameters
out = self.forward()
File "/home/ch/MeshCNN-master/models/mesh_classifier.py", line 57, in forward
out = self.net(self.edge_features, self.mesh)
File "/usr/local/Anaconda3/envs/torch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/Anaconda3/envs/torch/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 166, in forward
return self.module(*inputs[0], **kwargs[0])
File "/usr/local/Anaconda3/envs/torch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/home/ch/MeshCNN-master/models/networks.py", line 150, in forward
x = getattr(self, 'pool{}'.format(i))(x, mesh)
File "/home/ch/MeshCNN-master/models/layers/mesh_pool.py", line 21, in call
return self.forward(fe, meshes)
File "/home/ch/MeshCNN-master/models/layers/mesh_pool.py", line 34, in forward
self.__pool_main(mesh_index)
File "/home/ch/MeshCNN-master/models/layers/mesh_pool.py", line 50, in __pool_main
value, edge_id = heappop(queue)
IndexError: index out of range
In our .obj file, the points are 502, the triangle face are 1000, and the edges are 1500. I changed the input_edges to 1500, and an error was reported during training.
The text was updated successfully, but these errors were encountered:
Traceback (most recent call last):
File "train.py", line 30, in
model.optimize_parameters()
File "/home/ch/MeshCNN-master/models/mesh_classifier.py", line 66, in optimize_parameters
out = self.forward()
File "/home/ch/MeshCNN-master/models/mesh_classifier.py", line 57, in forward
out = self.net(self.edge_features, self.mesh)
File "/usr/local/Anaconda3/envs/torch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/Anaconda3/envs/torch/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 166, in forward
return self.module(*inputs[0], **kwargs[0])
File "/usr/local/Anaconda3/envs/torch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/home/ch/MeshCNN-master/models/networks.py", line 150, in forward
x = getattr(self, 'pool{}'.format(i))(x, mesh)
File "/home/ch/MeshCNN-master/models/layers/mesh_pool.py", line 21, in call
return self.forward(fe, meshes)
File "/home/ch/MeshCNN-master/models/layers/mesh_pool.py", line 34, in forward
self.__pool_main(mesh_index)
File "/home/ch/MeshCNN-master/models/layers/mesh_pool.py", line 50, in __pool_main
value, edge_id = heappop(queue)
IndexError: index out of range
In our .obj file, the points are 502, the triangle face are 1000, and the edges are 1500. I changed the input_edges to 1500, and an error was reported during training.
The text was updated successfully, but these errors were encountered: