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| from PIL import Image, ImageEnhance, ImageOps | |
| import random | |
| import torch | |
| import numpy as np | |
| class Cutout(object): | |
| def __init__(self, n_holes, length): | |
| self.n_holes = n_holes | |
| self.length = length | |
| def __call__(self, img): | |
| h = img.size(1) | |
| w = img.size(2) | |
| mask = np.ones((h, w), np.float32) | |
| for n in range(self.n_holes): | |
| y = np.random.randint(h) | |
| x = np.random.randint(w) | |
| y1 = np.clip(y - self.length // 2, 0, h) | |
| y2 = np.clip(y + self.length // 2, 0, h) | |
| x1 = np.clip(x - self.length // 2, 0, w) | |
| x2 = np.clip(x + self.length // 2, 0, w) | |
| mask[y1: y2, x1: x2] = 0. | |
| mask = torch.from_numpy(mask) | |
| mask = mask.expand_as(img) | |
| img = img * mask | |
| return img | |
| class ShearX(object): | |
| def __init__(self, fillcolor=(128, 128, 128)): | |
| self.fillcolor = fillcolor | |
| def __call__(self, x, magnitude): | |
| return x.transform( | |
| x.size, Image.AFFINE, (1, magnitude * random.choice([-1, 1]), 0, 0, 1, 0), | |
| Image.BICUBIC, fillcolor=self.fillcolor) | |
| class ShearY(object): | |
| def __init__(self, fillcolor=(128, 128, 128)): | |
| self.fillcolor = fillcolor | |
| def __call__(self, x, magnitude): | |
| return x.transform( | |
| x.size, Image.AFFINE, (1, 0, 0, magnitude * random.choice([-1, 1]), 1, 0), | |
| Image.BICUBIC, fillcolor=self.fillcolor) | |
| class TranslateX(object): | |
| def __init__(self, fillcolor=(128, 128, 128)): | |
| self.fillcolor = fillcolor | |
| def __call__(self, x, magnitude): | |
| return x.transform( | |
| x.size, Image.AFFINE, (1, 0, magnitude * x.size[0] * random.choice([-1, 1]), 0, 1, 0), | |
| fillcolor=self.fillcolor) | |
| class TranslateY(object): | |
| def __init__(self, fillcolor=(128, 128, 128)): | |
| self.fillcolor = fillcolor | |
| def __call__(self, x, magnitude): | |
| return x.transform( | |
| x.size, Image.AFFINE, (1, 0, 0, 0, 1, magnitude * x.size[1] * random.choice([-1, 1])), | |
| fillcolor=self.fillcolor) | |
| class Rotate(object): | |
| def __call__(self, x, magnitude): | |
| rot = x.convert("RGBA").rotate(magnitude * random.choice([-1, 1])) | |
| return Image.composite(rot, Image.new("RGBA", rot.size, (128,) * 4), rot).convert(x.mode) | |
| class Color(object): | |
| def __call__(self, x, magnitude): | |
| return ImageEnhance.Color(x).enhance(1 + magnitude * random.choice([-1, 1])) | |
| class Posterize(object): | |
| def __call__(self, x, magnitude): | |
| return ImageOps.posterize(x, magnitude) | |
| class Solarize(object): | |
| def __call__(self, x, magnitude): | |
| return ImageOps.solarize(x, magnitude) | |
| class Contrast(object): | |
| def __call__(self, x, magnitude): | |
| return ImageEnhance.Contrast(x).enhance(1 + magnitude * random.choice([-1, 1])) | |
| class Sharpness(object): | |
| def __call__(self, x, magnitude): | |
| return ImageEnhance.Sharpness(x).enhance(1 + magnitude * random.choice([-1, 1])) | |
| class Brightness(object): | |
| def __call__(self, x, magnitude): | |
| return ImageEnhance.Brightness(x).enhance(1 + magnitude * random.choice([-1, 1])) | |
| class AutoContrast(object): | |
| def __call__(self, x, magnitude): | |
| return ImageOps.autocontrast(x) | |
| class Equalize(object): | |
| def __call__(self, x, magnitude): | |
| return ImageOps.equalize(x) | |
| class Invert(object): | |
| def __call__(self, x, magnitude): | |
| return ImageOps.invert(x) | |