PyTorchで画像をリサイズ（拡大・縮小）するtorchvision.transforms.functional.resize

import requests
import matplotlib.pyplot as plt
from torchvision.io import read_image

url = "https://github.com/opencv/opencv/blob/master/samples/data/butterfly.jpg?raw=true"
file_name = "butterfly.jpg"

response = requests.get(url)
image = response.content

with open(file_name, "wb") as f:
    f.write(image)

image = read_image(path=file_name)
print(image.shape)
# torch.Size([3, 356, 493])

plt.imshow(image.permute(1,2,0));

import torchvision.transforms.functional as F

image_re = F.resize(img=image, size=(100, 200))
print(image_re.shape)
# torch.Size([3, 100, 200])

plt.imshow(image_re.permute(1,2,0));

import torchvision.transforms as T

image_re = F.resize(img=image, size=(100, 200), interpolation=T.InterpolationMode.BILINEAR)

image_re = F.resize(img=image, size=(100, 200), interpolation=T.InterpolationMode.NEAREST)

image_re = F.resize(img=image, size=(100, 200), interpolation=T.InterpolationMode.BICUBIC)