Slike_slovenke_socialmediarip_vol.1.rar

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

# Define transformations for images transform = transforms.Compose([ transforms.Resize((224, 224)), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) 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 # Now 'features' is a list of feature

# Load pre-trained ResNet50 and remove the last layer model = resnet50(pretrained=True) model.fc = torch.nn.Identity() slike_SLOVENKE_socialMEDIArip_vol.1.rar