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data-augmentation-for-semantic-segmentation's Introduction

Data-Augmentation

仓库主要包括了一些简单的数据增强手段

依赖

opencv 4.0.1

numpy 1.21.2

已实现

1.裁剪 crop.py

2.翻转 flip.py

3.更改亮度 adjust_brightness.py

4.更改饱和度 adjust_saturation.py

5.更改对比度 adjust_contrast.py

6.按尺度缩放 scale.py

7.高斯模糊 gaussianblur.py

8.标准化/反标准化 normalize.py

9.旋转 rotate.py

10.复制-粘贴 copy_paste.py 21-12-07代码未优化     from this paper

Demo

1.裁剪

crop

2.翻转

horizontal_vertical_filp

3.调增亮度 x1.5

adjust_brightness

4.调增饱和度 x1.5

adjust_brightness

5.调增对比度 x1.5

adjust_brightness

6.按尺度缩放 x0.85

adjust_brightness

7.高斯模糊 原图 k=3 k=7 k=11

gaussianblur

8.标准化/反标准化

normalize

9.旋转 60°

rotate

10.复制-粘贴

rotate

data-augmentation-for-semantic-segmentation's People

Contributors

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