I am trying to load a checkpoint pth file from the faster_rcnn_resnet101 model which is not currently in the PyTorch model zoo. This causes PyTorch to throw a KeyError saying that I the layers in the state dict does not match the model architecture of faster_rcnn_fpn_resnet50 that I’ve loaded from the model zoo. Note: I tried posting the architecture of
Tag: faster-rcnn
fit_generator() returns NoneType instead of History object in Mask R CNN
I would like to save the loss data while training my Mask R CNN, but I seem to be missing something. The training is working but I’m getting the Error: AttributeError: ‘NoneType’ object has no attribute ‘history’ I’m not even sure if this is the right approach but it seemed easy enough. This part of the code calls this function