# Prepare a transform transform = transforms.Compose([ transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ])
# Define a pre-trained model model = torchvision.models.resnet50(pretrained=True) model.eval() HMN-032-MR.mp4
import torch import torchvision import torchvision.transforms as transforms import cv2 # Prepare a transform transform = transforms