How to use this pre-trainmodel?

[EZEROR]

import cv2
import torch
import torchvision.transforms as transforms

Load the pre-trained model

model = torch.load("hrnetv2_w18_imagenet_pretrained.pth")

Load and preprocess the input image

image = cv2.imread("images.jpg")
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) # Convert BGR to RGB
image = transforms.ToTensor()(image) # Convert image to tensor
image = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])(image) # Normalize the image

Run the inference

output = model.forward(image)

I try something like these, but it doens't work, how to use the pre-trained model directly and detect the face in a image?

Thank you

[Alfie213]

Hello! Did you resolve this problem? It is not clear for me how to use pre-trained model for the single image.