Comments (5)
Hi,
Can any help me to sort out this issue?
I got the same "ValueError: not enough values to unpack (expected 2, got 1)" error.
Though I tried with both torchsparse v1.2 and v1.4. but facing the same issue.
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Hey you can replace first line with second line with torchsparse==1.4
Replace this:
from torchsparse.utils import sparse_collate_fn, sparse_quantize
with this:
from torchsparse.utils.collate import sparse_collate_fn from torchsparse.utils.quantize import sparse_quantize
It'll work with torchsparse==1.4
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Hey,
Please check for default values for models in the test_shape.py
and test_depth.py
scripts.
Those values are different (resnet50 and resnet101), and they have to be the same.
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@isamabdullah88 What do you mean by default values? the values are the same
@YoushaaMurhij Can you please share how you solved this?
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- Firstly move the model files to specified location and make sure the weight files are being read by the script. Place a check in code for that. I think the above error happens because of weight files not available.
- Then, make sure that
--load_ckpt
and--backbone
both use the same model. (Eitherresnet101.pth
orresnet50.pth
).
Hope this helps!
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