Kocha
Kocha
I tried Faster-RCNN(ResNet50) model. ```python model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True) # Pytorch to ONNX onnx_filename = 'fasterrcnn_resnet50_fpn_imagenet.onnx' dummy_input = torch.randn(1, 3, 224, 224) input_names = ['act'] output_names = ['out'] model.eval() torch.onnx.export(model, dummy_input,...
Try executed this code, but print RuntimeError message. Is there any solution? ```python import torch import torchvision.models as models from torchsummary import summary device = torch.device("cuda" if torch.cuda.is_available() else "cpu")...