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prediction augment (TTA) fix (#288)
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@ -324,7 +324,11 @@ class DetectionModel(BaseModel):
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y = [] # outputs
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for si, fi in zip(s, f):
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xi = scale_img(x.flip(fi) if fi else x, si, gs=int(self.stride.max()))
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yi = super().predict(xi)[0] # forward
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yi = super().predict(xi) # forward
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if isinstance(yi, dict):
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yi = yi["one2one"] # yolov10 outputs
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if isinstance(yi, (list, tuple)):
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yi = yi[0]
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yi = self._descale_pred(yi, fi, si, img_size)
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y.append(yi)
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y = self._clip_augmented(y) # clip augmented tails
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