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import os
from pathlib import Path
from torchvision import transforms
from towhee import register
from towhee.operator import Operator, OperatorFlag
from towhee.types import arg, to_image_color
from towhee._types import Image
import warnings
warnings.filterwarnings('ignore')
@register(output_schema=['styled_image'], flag=OperatorFlag.STATELESS | OperatorFlag.REUSEABLE,)
class Animegan(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()
])
@arg(1, to_image_color('RGB') )
def __call__(self, image):
img = self.tfms(image).unsqueeze(0)
styled_image = self.model(img)
return Image(styled_image, 'RGB')