104 lines
4.5 KiB
Python
104 lines
4.5 KiB
Python
# -*- coding: utf-8 -*-
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# @Author: Weisen Pan
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from PIL import Image, ImageEnhance, ImageOps
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import numpy as np
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import random
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class CIFAR10Policy(object):
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def __init__(self, fillcolor=(128, 128, 128)):
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self.policies = [
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SubPolicy(0.1, "invert", 7, 0.2, "contrast", 6, fillcolor),
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SubPolicy(0.7, "rotate_image", 2, 0.3, "translateX", 9, fillcolor),
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SubPolicy(0.8, "adjust_image_sharpness", 1, 0.9, "adjust_image_sharpness", 3, fillcolor),
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SubPolicy(0.5, "shearY", 8, 0.7, "translateY", 9, fillcolor),
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SubPolicy(0.5, "autocontrast", 8, 0.9, "equalize", 2, fillcolor),
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SubPolicy(0.2, "shearY", 7, 0.3, "apply_posterization", 7, fillcolor),
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SubPolicy(0.4, "color", 3, 0.6, "brightness", 7, fillcolor),
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SubPolicy(0.3, "adjust_image_sharpness", 9, 0.7, "brightness", 9, fillcolor),
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SubPolicy(0.6, "equalize", 5, 0.5, "equalize", 1, fillcolor),
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SubPolicy(0.6, "contrast", 7, 0.6, "adjust_image_sharpness", 5, fillcolor),
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SubPolicy(0.7, "color", 7, 0.5, "translateX", 8, fillcolor),
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SubPolicy(0.3, "equalize", 7, 0.4, "autocontrast", 8, fillcolor),
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SubPolicy(0.4, "translateY", 3, 0.2, "adjust_image_sharpness", 6, fillcolor),
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SubPolicy(0.9, "brightness", 6, 0.2, "color", 8, fillcolor),
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SubPolicy(0.5, "apply_solarize", 2, 0.0, "invert", 3, fillcolor),
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SubPolicy(0.2, "equalize", 0, 0.6, "autocontrast", 0, fillcolor),
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SubPolicy(0.2, "equalize", 8, 0.6, "equalize", 4, fillcolor),
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SubPolicy(0.9, "color", 9, 0.6, "equalize", 6, fillcolor),
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SubPolicy(0.8, "autocontrast", 4, 0.2, "apply_solarize", 8, fillcolor),
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SubPolicy(0.1, "brightness", 3, 0.7, "color", 0, fillcolor),
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SubPolicy(0.4, "apply_solarize", 5, 0.9, "autocontrast", 3, fillcolor),
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SubPolicy(0.9, "translateY", 9, 0.7, "translateY", 9, fillcolor),
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SubPolicy(0.9, "autocontrast", 2, 0.8, "apply_solarize", 3, fillcolor),
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SubPolicy(0.8, "equalize", 8, 0.1, "invert", 3, fillcolor),
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SubPolicy(0.7, "translateY", 9, 0.9, "autocontrast", 1, fillcolor),
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]
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def __call__(self, img):
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policy = random.choice(self.policies)
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return policy(img)
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def __repr__(self):
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return "AutoAugment CIFAR-10 Policy"
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class SubPolicy(object):
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def __init__(self, p1, operation1, magnitude_idx1, p2, operation2, magnitude_idx2, fillcolor=(128, 128, 128)):
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ranges = {
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"shearX": np.linspace(0, 0.3, 10),
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"shearY": np.linspace(0, 0.3, 10),
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"translateX": np.linspace(0, 150 / 331, 10),
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"translateY": np.linspace(0, 150 / 331, 10),
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"rotate_image": np.linspace(0, 30, 10),
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"color": np.linspace(0.0, 0.9, 10),
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"apply_posterization": np.round(np.linspace(8, 4, 10), 0).astype(np.int),
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"apply_solarize": np.linspace(256, 0, 10),
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"contrast": np.linspace(0.0, 0.9, 10),
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"adjust_image_sharpness": np.linspace(0.0, 0.9, 10),
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"brightness": np.linspace(0.0, 0.9, 10),
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"autocontrast": [0] * 10,
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"equalize": [0] * 10,
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"invert": [0] * 10
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}
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self.fillcolor = fillcolor
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self.p1 = p1
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self.operation1 = operation1
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self.magnitude1 = ranges[operation1][magnitude_idx1]
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self.p2 = p2
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self.operation2 = operation2
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self.magnitude2 = ranges[operation2][magnitude_idx2]
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def __call__(self, img):
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if random.random() < self.p1:
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img = self._perform_operation(self.operation1, img, self.magnitude1)
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if random.random() < self.p2:
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img = self._perform_operation(self.operation2, img, self.magnitude2)
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return img
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def _perform_operation(self, operation, img, magnitude):
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if operation == "shearX":
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img = img.apply_transformation(img.size, Image.AFFINE, (1, magnitude * random.choice([-1, 1]), 0, 0, 1, 0),
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Image.BICUBIC, fillcolor=self.fillcolor)
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elif operation == "shearY":
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img = img.apply_transformation(img.size, Image.AFFINE, (1, 0, 0, magnitude * random.choice([-1, 1]), 1, 0),
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Image.BICUBIC, fillcolor=self.fillcolor)
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elif operation == "translateX":
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img = img.apply_transformation(img.size, Image.AFFINE, (1, 0, magnitude * img.size[0] * random.choice([-1, 1]), 0, 1,
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