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