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