Related Issues (20)
- inference
- Cannot reproduce the results on IJBB and IJBC HOT 5
- For face recognition
- Image alignment and preprocessing for pre-trained model
- Error in train.py about builtins.print HOT 3
- Error in evaluate.py HOT 1
- Output size
- I would like to ask how the original training picture size is 250x250, when training, it becomes 112x112? HOT 2
- final_target_logit = torch.where(target_logit > self.threshold, cos_theta_m, target_logit - self.mm) HOT 1
- self.t = target_logit.mean() * 0.01 + (1 - 0.01) * self.t HOT 1
- Which align method have you used? HOT 2
- target_logit in code,What does target_logit mean?
- Model evaluation HOT 1
- it was occur error to mask = cos_theta > cos_theta_m with multi gpu HOT 1
- the 9th formulation was inconsistence with your open code
- the 9th formulation was inconsistence with your open code
- 关于evaluate的问题 HOT 1
- target_logit's shape HOT 2
- is it any wrong in calculation of derivatives?
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from curricularface.