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Description
def voxelize(self, points, sensor):
feats, coords, sizes = [], [], []
for k, res in enumerate(points):
ret = self.encoders[sensor]"voxelize"
(Pdb) print(res.shape)
torch.Size([1477, 45])
(Pdb) print(res[0])
tensor([ 5.7243e+00, 4.4097e+00, -1.2426e+00, 7.7291e+00, -1.9865e-05,
-9.5649e-06, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,
0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,
1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,
0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,
0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,
0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,
0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00, 1.0000e+00,
1.0000e+00, 1.0000e+00, 1.0000e+00, 1.0000e+00, 0.0000e+00],
device='cuda:0')
请问这里的45分别指的是什么?