import numpy as np
import torchvision
import PIL


def web_input(image):
    image_transforms = torchvision.transforms.Compose([torchvision.transforms.ToTensor()])
    input_img = PIL.Image.fromarray(image)
    input_img = input_img.resize((100, 100), PIL.Image.LANCZOS)
    wd_new, ht_new = input_img.size
    wd_new = int(16 * np.ceil(wd_new / 16.0))
    ht_new = int(16 * np.ceil(ht_new / 16.0))
    input_img = input_img.resize((wd_new, ht_new), PIL.Image.LANCZOS)
    return image_transforms(input_img).unsqueeze(0)