I am training on Belgian Traffic Sign Detection Dataset (only on Traffic Sign Superclasses). So my model has only 12 classes to classify. I am wondering if and how it is possible to use the feature extraction weights from the pretrained ssd300_mAP_77.43_v2.pth file to initialize and then fine tune my model.
I've read that this is not possible as the .pth Files contain the model as a whole and I would need a .pt File. Is there another way of extracting the feature weights to my own model?
I am training on Belgian Traffic Sign Detection Dataset (only on Traffic Sign Superclasses). So my model has only 12 classes to classify. I am wondering if and how it is possible to use the feature extraction weights from the pretrained ssd300_mAP_77.43_v2.pth file to initialize and then fine tune my model.
I've read that this is not possible as the .pth Files contain the model as a whole and I would need a .pt File. Is there another way of extracting the feature weights to my own model?