Slike_slovenke_socialmediarip_vol.1.rar <LATEST | 2027>

# Load pre-trained ResNet50 and remove the last layer model = resnet50(pretrained=True) model.fc = torch.nn.Identity()

# Now 'features' is a list of feature vectors, you can convert it to a numpy array features = np.array(features) slike_SLOVENKE_socialMEDIArip_vol.1.rar

import torch import torchvision import torchvision.transforms as transforms from torchvision.models import resnet50 from PIL import Image import os import numpy as np # Load pre-trained ResNet50 and remove the last

# Move model to GPU if available device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") model.to(device) model.eval() slike_SLOVENKE_socialMEDIArip_vol.1.rar