Cv9527
Cv9527
@AITTSMD how to enhance the recall rate when training Pnet?
during training Pnet, for the face class task, how to ignore part label -1 when calculate softmaxloss, for regression task, how to ignore negative data?
Thx
@AlphaQi Did you implemented landmark localization training ?
That would be lots of things to do. Firstly you should crop, resize and save the faces from celebA dataset, and generate imglist file which contains these faces. The format...
@Seanlinx ok，I get the points. so, raw_label is needed to transfer to negativemining layer.  modify symbol.py as picture, is right?
@Seanlinx thanks, label is replaced by raw_label. however, since pts_pred and pts_target are transfer to negativemining layer, I have no idea how to modify infer_shape(self, in_shape) in negativemining.py, could you...
@Seanlinx infer_shape encounter errors, parameters are not right. how to fix it? 
@Seanlinx thank you. It seems need to add a function to calculate landmarks loss in metric.py, right?
@Seanlinx I got a problem when train Rnet with landmark. the loss is nan. how can I solve it? 