I wanted to use densenet121 with grayscale images, so looking to change it to accept 1 channel input. I tried the following :
model = torchvision.models.densenet121(pretrained=pretrained) model.features = nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) num_ftrs = model.classifier.in_features model.classifier = nn.Linear(num_ftrs, n_classes)
But getting error: “RuntimeError: stack expects each tensor to be equal size, but got [1, 224, 224] at entry 0 and [4, 224, 224] at entry 17”
Is there any other way I can modify densenet121 to accept 1 channel input?