Comments (1)
Fix suggested in pull request #38: in calculation of IoU, the tensors need to be converted to int from boolean before adding. E.g. lines 155 in losses.py
should be:
intersection = (gt.int() + predict.int()) == 2 union = (gt.int() + predict.int()) >= 1
from so-net.
Related Issues (20)
- Compile ‘index_max’ fail. HOT 12
- Sampling code non-uniform? HOT 4
- Retrieval result unclear HOT 3
- Question about point cloud transformation HOT 2
- index_max builds but fails at runtime HOT 1
- Error in SO-NET code HOT 12
- Supplementary material HOT 2
- How about the Training Time?
- Data augmentation not work? HOT 1
- The function of index_max. HOT 4
- How to train the model on SHREC2016
- Very low mIoU on part set HOT 1
- The error in ‘Application - Part Segmentation’ HOT 2
- How to get the input of the autoencoder?
- test file for autoencoder HOT 1
- Error in "python setup.py install" HOT 1
- can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
- how to install the index_max? HOT 1
- changing dataset path
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