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[Refactor] Add backend option for ColorJitter (#353)
* add backend option for ColorJitter * revise docstring
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@ -614,19 +614,23 @@ class ColorJitter(BaseTransform):
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if you normalize your image to an interval with negative values,
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or use an interpolation that generates negative values before using
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this function.
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backend (str): The type of image processing backend. Options are
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`cv2`, `pillow`. Defaults to `pillow`.
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""" # noqa: E501
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def __init__(self,
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brightness: Union[float, List[float]] = 0,
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contrast: Union[float, List[float]] = 0,
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saturation: Union[float, List[float]] = 0,
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hue: Union[float, List[float]] = 0) -> None:
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hue: Union[float, List[float]] = 0,
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backend: str = 'pillow') -> None:
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super().__init__()
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self.brightness = self._check_input(brightness, 'brightness')
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self.contrast = self._check_input(contrast, 'contrast')
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self.saturation = self._check_input(saturation, 'saturation')
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self.hue = self._check_input(
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hue, 'hue', center=0, bound=(-0.5, 0.5), clip_first_on_zero=False)
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self.backend = backend
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def _check_input(
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self,
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@ -706,13 +710,13 @@ class ColorJitter(BaseTransform):
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img = results['img'].astype('uint8')
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for fn_id in order:
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if fn_id == 0 and brightness_factor is not None:
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img = adjust_brightness(img, brightness_factor)
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img = adjust_brightness(img, brightness_factor, self.backend)
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elif fn_id == 1 and contrast_factor is not None:
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img = adjust_contrast(img, contrast_factor)
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img = adjust_contrast(img, contrast_factor, self.backend)
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elif fn_id == 2 and saturation_factor is not None:
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img = adjust_color(img, saturation_factor)
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img = adjust_color(img, saturation_factor, self.backend)
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elif fn_id == 3 and hue_factor is not None:
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img = adjust_hue(img, hue_factor)
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img = adjust_hue(img, hue_factor, self.backend)
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results['img'] = img
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return results
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