Hicham Bellafkir
Hicham Bellafkir
Did someone fixed that?
Wouldn't it be wrong to train with Softmax and use Sigmoid for mAP? Using Softmax instead of Sigmoid gives a higher mAP value.
In the case of CrossEntropyLoss, the loss is calculated with Softmax ([here](https://github.com/YuanGongND/ast/blob/e038086885c9a52c2bd8896f0058ca2f1a22d67b/src/traintest.py#L117)) as it is included in the CrossEntropyLoss operation. It is not correct to use Sigmoid for inference when...
> In the case of CrossEntropyLoss, the loss is calculated with Softmax ([here](https://github.com/YuanGongND/ast/blob/e038086885c9a52c2bd8896f0058ca2f1a22d67b/src/traintest.py#L117)) as it is included in the CrossEntropyLoss operation. It is not correct to use Sigmoid for inference...
@vandana-rajan I thought alignment should include rotating the face too. but you right, alignment here means just returning the landmark points.
@ipazc are you still woking on it, or its a dead thing ?
did you found a solution @zyxforever ?
I have the same issue with a custom caffe image
Did u have the error in network.py that ues_hashnet is not defined? I'm running the same experiment. I will report the results after.