Hi,
I want to detect heart using stanford chestxray dataset with the help of torchvision.models.detection.fasterrcnn_resnet50_fpn. Now when i set torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True) it will have the pretrained weights which i dont want. For my problem, i have already trained a resnet 50 model using stanford chestxray dataset and i want those weights of the checkpoints as the weights of the backbone for the faster rcnn object detector. Please help me how to use them in the torchvision model. Thanks