def __init__(self, sigma, canopy, rotation_angle=180.0):
super(RotationNoiseTransformer, self).__init__()
self.sigma = sigma
self.noise_adder = transforms.Noise(self.sigma)
self.rotation_adder = transforms.Rotation(canopy, rotation_angle)
self.round = 2
self.masking = True
def __init__(self, sigma, b, canopy, sl, sr):
super(ResizeBrightnessNoiseTransformer, self).__init__()
self.resize_adder = transforms.Resize(canopy, sl, sr)
self.noise_adder = transforms.Noise(sigma)
self.brightness_adder = transforms.BrightnessShift(b)
self.sigma = sigma
self.b = b
def __init__(self, sigma, b, canopy, rotation_angle=180.0):
super(RotationBrightnessNoiseTransformer, self).__init__()
self.sigma = sigma
self.b = b
self.noise_adder = transforms.Noise(self.sigma)
self.brightness_adder = transforms.BrightnessShift(self.b)
self.rotation_adder = transforms.Rotation(canopy, rotation_angle)
self.round = 2
self.masking = True
def __init__(self, sigma, b, k, canopy, rotation_angle=180.0):
super(RotationBrightnessContrastNoiseTransformer, self).__init__()
self.sigma = sigma
self.sigma_b = b
self.sigma_k = k
self.noise_adder = transforms.Noise(self.sigma)
self.scaler = transforms.BrightnessScale(self.sigma_k)
self.brightness_adder = transforms.BrightnessShift(self.sigma_b)
self.rotation_adder = transforms.Rotation(canopy, rotation_angle)
self.input_dim = canopy.numel()
self.round = 2
self.masking = True
self.k_l = self.k_r = 0
def __init__(self, sigma, sigma_k, sigma_b, lamb, sigma_trans, sl, sr,
rotation_angle, canopy):
super(UniversalTransformer, self).__init__()
self.sigma = sigma
self.sigma_k = sigma_k
self.sigma_b = sigma_b
self.scaler = transforms.BrightnessScale(sigma_k)
self.brighter = transforms.BrightnessShift(sigma_b)
self.gaussian_adder = transforms.ExpGaussian(lamb)
self.translation_adder = transforms.Translational(canopy, sigma_trans)
self.resize_adder = transforms.Resize(canopy, sl, sr)
self.rotation_adder = transforms.Rotation(canopy, rotation_angle)
self.noise_adder = transforms.Noise(self.sigma)
self.round = 1
self.masking = True
dir = 'visualize'
datasets = ['cifar10', 'mnist']
nums = [0, 20, 40, 60, 80, 100]
if __name__ == '__main__':
for dataset in datasets:
ds = get_dataset(dataset, 'test')
canopy = ds[0][0]
# init transformers
noiseT = transforms.Noise(sigma=0.5)
rotationT = transforms.Rotation(canopy, rotation_angle=180.0)
translationT = transforms.Translational(canopy, sigma=5.0)
blackTranslationT = transforms.BlackTranslational(canopy, sigma=5.0)
brightnessShiftT = transforms.BrightnessShift(sigma=0.1)
brightnessScaleT = transforms.BrightnessScale(sigma=0.1)
sizeScaleT = transforms.Resize(canopy, sl=0.5, sr=5.0)
gaussianT = transforms.Gaussian(sigma=5.0)
for num in nums:
print(dataset, num)
transforms.visualize(ds[num][0], f'visualize/{dataset}/{num}.png')
# rotation
angles = [-10, 30, 70]
for angle in angles:
transforms.visualize(
def __init__(self, canopy, sl, sr, sigma):
super(ResizeNoiseTransformer, self).__init__()
self.resize_adder = transforms.Resize(canopy, sl, sr)
self.noise_adder = transforms.Noise(sigma)
def __init__(self, sigma):
super(NoiseTransformer, self).__init__()
self.sigma = sigma
self.noise_adder = transforms.Noise(self.sigma)
