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fine tuning with different number of classes #68

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MyVanitar opened this issue Feb 21, 2019 · 1 comment

MyVanitar commented Feb 21, 2019

Hi,

How can I fine-tune the model on a custom dataset with a different number of classes?

Owner

Robert-JunWang commented Feb 24, 2019

modify the num_classes in the train_xxx.py file.
2.Set the parameter of head_postfix when calling CreateMultiBoxHead if you want to use the weights pre-trained on VOC or COCO.

Robert-JunWang closed this as completed

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