Hi.
I would like to concat a high-level feature from two own pre-trained U-Net models.
Let:
model1 = torch.load("UNetmodel1.pt")
model2 = torch.load("UNetmodel2.pt")

Model1 is pre-trained on heart ultrasound dataset and model2 is pre-trained on abdomen ultrasound dataset. Now, I would like to extract high-level features from two pre-trained segmentation network U-Net. Then, I would like to classify these features by AlexNet or other state-of-the-art classification networks. On the output, I need two classes: the heart and abdomen.
How to do it?