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import torch | |
from torchvision import transforms | |
from PIL import Image | |
def images_to_tensor(image_list): | |
""" | |
Parse a list of PIL images and convert them to a PyTorch tensor in shape (T, C, H, W). | |
""" | |
transform = transforms.ToTensor() | |
# Convert each PIL image to tensor and store in a list | |
tensor_list = [transform(img) for img in image_list] | |
# Stack the list of tensors along a new dimension to create the final tensor | |
tensor = torch.stack(tensor_list, dim=0) | |
return tensor |