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41 lines
1.3 KiB
41 lines
1.3 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/uoguelph-mlrg/Cutout |
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import numpy as np |
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import random |
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class Cutout(object): |
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def __init__(self, n_holes=1, length=112): |
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self.n_holes = n_holes |
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self.length = length |
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def __call__(self, img): |
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""" cutout_image """ |
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h, w = img.shape[:2] |
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mask = np.ones((h, w), np.float32) |
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for n in range(self.n_holes): |
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y = np.random.randint(h) |
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x = np.random.randint(w) |
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y1 = np.clip(y - self.length // 2, 0, h) |
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y2 = np.clip(y + self.length // 2, 0, h) |
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x1 = np.clip(x - self.length // 2, 0, w) |
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x2 = np.clip(x + self.length // 2, 0, w) |
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img[y1:y2, x1:x2] = 0 |
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return img
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