humanpose1 / MS-SVConv

Compute descriptors for 3D point cloud registration using a multi scale sparse voxel architecture

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torchsparse error during running colab.

chenerg opened this issue · comments

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INFO - 2021-08-17 04:07:39,444 - model_checkpoint - Loading checkpoint from models/MS_SVCONV_2cm_X2_3head_3dm.pt
INFO - 2021-08-17 04:07:39,799 - modelfactory - The config will be used to build the model
invalid syntax (, line 1)

TypeError Traceback (most recent call last)
in ()
19 }
20
---> 21 model = PretainedRegistry.from_file(pcd_model[choice_model], mock_property={})
22
23 data_s = pcd_DAchoice_model

13 frames
/usr/local/lib/python3.7/dist-packages/torch_points3d/modules/SparseConv3d/nn/torchsparse.py in init(self, in_channels, out_channels, kernel_size, stride, dilation, bias, transpose)
37 dilation=dilation,
38 bias=bias,
---> 39 transposed=True,
40 )
41

TypeError: init() got an unexpected keyword argument 'transposed'

Thanks for reporting it.Now tp3d works with torchsparse 1.4.0 version. I'll fix it asap.
Best,

Error fixed !