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106 lines
4.4 KiB
106 lines
4.4 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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# This code is based on https://github.com/heartInsert/randaugment |
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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 RandAugment(object): |
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def __init__(self, num_layers=2, magnitude=5, fillcolor=(128, 128, 128)): |
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self.num_layers = num_layers |
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self.magnitude = magnitude |
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self.max_level = 10 |
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abso_level = self.magnitude / self.max_level |
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self.level_map = { |
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"shearX": 0.3 * abso_level, |
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"shearY": 0.3 * abso_level, |
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"translateX": 150.0 / 331 * abso_level, |
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"translateY": 150.0 / 331 * abso_level, |
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"rotate": 30 * abso_level, |
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"color": 0.9 * abso_level, |
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"posterize": int(4.0 * abso_level), |
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"solarize": 256.0 * abso_level, |
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"contrast": 0.9 * abso_level, |
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"sharpness": 0.9 * abso_level, |
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"brightness": 0.9 * abso_level, |
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"autocontrast": 0, |
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"equalize": 0, |
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"invert": 0 |
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} |
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# from https://stackoverflow.com/questions/5252170/ |
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# specify-image-filling-color-when-rotating-in-python-with-pil-and-setting-expand |
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def rotate_with_fill(img, magnitude): |
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rot = img.convert("RGBA").rotate(magnitude) |
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return Image.composite(rot, |
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Image.new("RGBA", rot.size, (128, ) * 4), |
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rot).convert(img.mode) |
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rnd_ch_op = random.choice |
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self.func = { |
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"shearX": lambda img, magnitude: img.transform( |
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img.size, |
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Image.AFFINE, |
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(1, magnitude * rnd_ch_op([-1, 1]), 0, 0, 1, 0), |
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Image.BICUBIC, |
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fillcolor=fillcolor), |
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"shearY": lambda img, magnitude: img.transform( |
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img.size, |
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Image.AFFINE, |
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(1, 0, 0, magnitude * rnd_ch_op([-1, 1]), 1, 0), |
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Image.BICUBIC, |
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fillcolor=fillcolor), |
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"translateX": lambda img, magnitude: img.transform( |
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img.size, |
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Image.AFFINE, |
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(1, 0, magnitude * img.size[0] * rnd_ch_op([-1, 1]), 0, 1, 0), |
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fillcolor=fillcolor), |
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"translateY": lambda img, magnitude: img.transform( |
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img.size, |
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Image.AFFINE, |
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(1, 0, 0, 0, 1, magnitude * img.size[1] * rnd_ch_op([-1, 1])), |
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fillcolor=fillcolor), |
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"rotate": lambda img, magnitude: rotate_with_fill(img, magnitude), |
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"color": lambda img, magnitude: ImageEnhance.Color(img).enhance( |
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1 + magnitude * rnd_ch_op([-1, 1])), |
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"posterize": lambda img, magnitude: |
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ImageOps.posterize(img, magnitude), |
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"solarize": lambda img, magnitude: |
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ImageOps.solarize(img, magnitude), |
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"contrast": lambda img, magnitude: |
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ImageEnhance.Contrast(img).enhance( |
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1 + magnitude * rnd_ch_op([-1, 1])), |
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"sharpness": lambda img, magnitude: |
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ImageEnhance.Sharpness(img).enhance( |
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1 + magnitude * rnd_ch_op([-1, 1])), |
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"brightness": lambda img, magnitude: |
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ImageEnhance.Brightness(img).enhance( |
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1 + magnitude * rnd_ch_op([-1, 1])), |
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"autocontrast": lambda img, magnitude: |
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ImageOps.autocontrast(img), |
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"equalize": lambda img, magnitude: ImageOps.equalize(img), |
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"invert": lambda img, magnitude: ImageOps.invert(img) |
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} |
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def __call__(self, img): |
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avaiable_op_names = list(self.level_map.keys()) |
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for layer_num in range(self.num_layers): |
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op_name = np.random.choice(avaiable_op_names) |
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img = self.func[op_name](img, self.level_map[op_name]) |
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return img
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