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3 years ago
import os
import numpy
from pathlib import Path
from typing import NamedTuple
from torchvision import transforms
from towhee.operator import Operator
from towhee.utils.pil_utils import to_pil
from towhee.types.image import Image
import warnings
warnings.filterwarnings("ignore")
class AnimeganStyleTransfer(Operator):
"""
PyTorch model for image embedding.
"""
def __init__(self, model_name: str, framework: str = 'pytorch') -> None:
super().__init__()
if framework == 'pytorch':
import importlib.util
path = os.path.join(str(Path(__file__).parent), 'pytorch', 'model.py')
opname = os.path.basename(str(Path(__file__))).split('.')[0]
spec = importlib.util.spec_from_file_location(opname, path)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
self.model = module.Model(model_name)
self.tfms = transforms.Compose([
transforms.ToTensor()
])
def __call__(self, image: 'towhee.types.Image') -> NamedTuple('Outputs', [('styled_image', numpy.ndarray)]):
img = self.tfms(to_pil(image)).unsqueeze(0)
styled_image = self.model(img)
Outputs = NamedTuple('Outputs', [('styled_image', numpy.ndarray)])
return Outputs(styled_image)