Hi,
I am running this piece of code to extract features from an intermediate layer and it’s showing the described error.
Can somebody please help me?
import torchvision
from torchvision.models.feature_extraction import create_feature_extractor
model_faster_rcnn = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)
model_faster_rcnn.eval()
faster_rcnn = create_feature_extractor(model_faster_rcnn, {'layer4': 'f1'})
The error given is:
TraceError: Proxy object cannot be iterated. This can be attempted when the Proxy
is used in a loop or as a *args or **kwargs function argument. See the torch.fx docs
on pytorch.org for a more detailed explanation of what types of control flow can
be traced, and check out the Proxy docstring for help troubleshooting Proxy
iteration errors.
I also tried the feature extraction code for resnet and it worked, but for this, it’s not working.
