def get_params(brightness, contrast, saturation, hue):
"""Get a randomized transform to be applied on image.
Arguments are same as that of __init__.
Returns:
Transform which randomly adjusts brightness, contrast and
saturation in a random order.
"""
transforms = []
if brightness is not None:
brightness_factor = random.uniform(brightness[0], brightness[1])
transforms.append(
Lambda(
lambda img: F.adjust_brightness(img, brightness_factor)))
if contrast is not None:
contrast_factor = random.uniform(contrast[0], contrast[1])
transforms.append(
Lambda(lambda img: F.adjust_contrast(img, contrast_factor)))
if saturation is not None:
saturation_factor = random.uniform(saturation[0], saturation[1])
transforms.append(
Lambda(
lambda img: F.adjust_saturation(img, saturation_factor)))
if hue is not None:
hue_factor = random.uniform(hue[0], hue[1])
transforms.append(
Lambda(lambda img: F.adjust_hue(img, hue_factor)))
random.shuffle(transforms)
transform = Compose(transforms)
return transform
def get_params(brightness, contrast, saturation, hue):
"""Get a randomized transform to be applied on image.
Arguments are same as that of __init__.
Returns:
Transform which randomly adjusts brightness, contrast and
saturation in a random order.
"""
transforms = []
if brightness > 0:
brightness_factor = np.random.uniform(max(0, 1 - brightness), 1 + brightness)
transforms.append(Lambda(lambda sample: F.adjust_brightness(sample, brightness_factor)))
if contrast > 0:
contrast_factor = np.random.uniform(max(0, 1 - contrast), 1 + contrast)
transforms.append(Lambda(lambda sample: F.adjust_contrast(sample, contrast_factor)))
if saturation > 0:
saturation_factor = np.random.uniform(max(0, 1 - saturation), 1 + saturation)
transforms.append(Lambda(lambda sample: F.adjust_saturation(sample, saturation_factor)))
if hue > 0:
hue_factor = np.random.uniform(-hue, hue)
transforms.append(Lambda(lambda sample: F.adjust_hue(sample, hue_factor)))
np.random.shuffle(transforms)
transform = Compose(transforms)
return transform
def __call__(self, img):
transforms = []
if self.brightness > 0:
brightness_factor = random.uniform(max(0, 1 - self.brightness),
1 + self.brightness)
transforms.append(
Lambda(
lambda img: F.adjust_brightness(img, brightness_factor)))
if self.contrast > 0:
contrast_factor = random.uniform(max(0, 1 - self.contrast),
1 + self.contrast)
transforms.append(
Lambda(lambda img: F.adjust_contrast(img, contrast_factor)))
if self.saturation > 0:
saturation_factor = random.uniform(max(0, 1 - self.saturation),
1 + self.saturation)
transforms.append(
Lambda(
lambda img: F.adjust_saturation(img, saturation_factor)))
if self.hue > 0:
hue_factor = random.uniform(-self.hue, self.hue)
transforms.append(
Lambda(lambda img: F.adjust_hue(img, hue_factor)))
random.shuffle(transforms)
transform = Compose(transforms)
return transform(img)