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B_list['o'].append( (torch.sum(masks[:,1:o], dim=1) + \ torch.sum(masks[:,o+1:num_objects+1], dim=1)).clamp(0,1) ) at
B_list['o'].append( (torch.sum(masks[:,1:o], dim=1) + \ torch.sum(masks[:,o+1:num_objects+1], dim=1)).clamp(0,1) )
STM/model.py
Line 217 in 905f114
sorry, I follow this operation can you explain?
The text was updated successfully, but these errors were encountered:
I have same question,
B_list['o'].append( (torch.sum(masks[:,1:o], dim=1) + \ torch.sum(masks[:,o+1:num_objects+1], dim=1)).clamp(0,1) ) at STM/model.py Line 217 in 905f114 B_list['o'].append( (torch.sum(masks[:,1:o], dim=1) + \ sorry, I follow this operation can you explain?
I have same question, do you have solved it now?
Sorry, something went wrong.
This is a combined mask for other objects. This is only used for multi object case. Otherwise it is zero.
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B_list['o'].append( (torch.sum(masks[:,1:o], dim=1) + \ torch.sum(masks[:,o+1:num_objects+1], dim=1)).clamp(0,1) )
at
STM/model.py
Line 217 in 905f114
sorry, I follow this operation can you explain?
The text was updated successfully, but these errors were encountered: