Really Nice Tutorial..
I have trained using your code for centerface detection and facing Accuracy Issue.
Some Modifications I have done according to https://github.com/chenjun2hao/CenterFace.pytorch
1) HeatMap generation using code from mentioned repo.
2) FocalLoss implementation for heatmap loss
3) removed landmark generation layer.
4) Data augmentation ( random crop, random scale, translation) from https://github.com/Paperspace/DataAugmentationForObjectDetection
I have trained Mobilnet_10 model with pretrained weights upto 90 epochs with LR 5e-4 and facing accuracy problem as compared to original centerface model.
Also during inference if i use threshold to 0.50, 1000+ face detections are made (false detection)
Can you help?
Really Nice Tutorial.. I have trained using your code for centerface detection and facing Accuracy Issue. Some Modifications I have done according to https://github.com/chenjun2hao/CenterFace.pytorch 1) HeatMap generation using code from mentioned repo. 2) FocalLoss implementation for heatmap loss 3) removed landmark generation layer. 4) Data augmentation ( random crop, random scale, translation) from https://github.com/Paperspace/DataAugmentationForObjectDetection
I have trained Mobilnet_10 model with pretrained weights upto 90 epochs with LR 5e-4 and facing accuracy problem as compared to original centerface model. Also during inference if i use threshold to 0.50, 1000+ face detections are made (false detection) Can you help?