wonderingboy

deleting the line 'classification = torch.clamp(classification, 1e-4, 1.0 - 1e-4)' in focal loss seems to solve the problem

deleting the line 'classification = torch.clamp(classification, 1e-4, 1.0 - 1e-4)' in focalloss seems to solve the problem.