CMU datasets error

[NamhyeokKim]

I downloaded cmu dataset and reproduced the experiments

But some error has occurred in the upsampling step.

Do you know the reason?

documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode))
Traceback (most recent call last):
File "train.py", line 282, in
main()
File "train.py", line 246, in main
label_rz_conv5 = Variable(util.resize_label(label.data.cpu().numpy(),size=out_conv5_t0.data.cpu().numpy().shape[2:]).cuda())
File "/home/nhkim/Desktop/SceneChangeDet/src/utils/utils.py", line 228, in resize_label
label_resized[:,:,:,:] = interp(labelVar).data.numpy()
File "/home/nhkim/anaconda3/envs/cosimNet/lib/python2.7/site-packages/torch/nn/modules/module.py", line 547, in call
result = self.forward(*input, **kwargs)
File "/home/nhkim/anaconda3/envs/cosimNet/lib/python2.7/site-packages/torch/nn/modules/upsampling.py", line 131, in forward
return F.interpolate(input, self.size, self.scale_factor, self.mode, self.align_corners)
File "/home/nhkim/anaconda3/envs/cosimNet/lib/python2.7/site-packages/torch/nn/functional.py", line 2509, in interpolate
raise NotImplementedError("Got 5D input, but bilinear mode needs 4D input")
NotImplementedError: Got 5D input, but bilinear mode needs 4D input

[Tangjunjun0925]

I got same problem. Have you solved this problem?

[whuzhangchi]

Hello, could you please provede me with the CMU dataset download link?

[abaybek]

I've got the same error. Does anybody understand the logic behind "resize_label" function?

I assume that an author wanted to resize a label image of size (batch_count x 3 x H x W) to the size of the outer layers. Is it make sense?

[Li-by]

Hello, could you please provede me with the CMU dataset download link?

could you please provede me with the CMU dataset download link? thanks so much

[basi880830]

Was it resolved later?