KalelPark's LAB

import torch from PIL import Image import numpy as np from torchvision.transforms import transforms tf = transforms.ToPILImage() # Load image image = Image.open("/content/img.jpeg") image = np.array(image) tensor_image = torch.tensor(image) tensor_image = tensor_image.float() mask = torch.zeros_like(tensor_image) # Create binary mask mask[50:300, 200:300, :] = 1.0 # column, row mask[50:300, 420:..