def img2tensor(path):
    import torchvision.transforms as transforms
    import cv2 as cv
    img = cv.imread(path)
    transf = transforms.ToTensor()
    img_tensor = transf(img)
    # print('opencv', img)
    # print('torch', img_tensor)
    return img_tensor

def tensor2img(img,name):
    from torchvision import utils as vutils
    vutils.save_image(img, name, normalize=True)