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from typing import List
import numpy as np
from PIL import Image
from PIL.Image import Image as PILImage
from .session_base import BaseSession
class SimpleSession(BaseSession):
def predict(self, img: PILImage) -> List[PILImage]:
ort_outs = self.inner_session.run(
None,
self.normalize(
img, (0.485, 0.456, 0.406), (0.229, 0.224, 0.225), (320, 320)
),
)
pred = ort_outs[0][:, 0, :, :]
ma = np.max(pred)
mi = np.min(pred)
pred = (pred - mi) / (ma - mi)
pred = np.squeeze(pred)
mask = Image.fromarray((pred * 255).astype("uint8"), mode="L")
mask = mask.resize(img.size, Image.LANCZOS)
return [mask]
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