Python数据增强(data augmentation)库--Augmentor使用介绍

Augmentor 使用介绍

1.random_distortionpro(bability, grid_height, grid_width, magnitude)

最终选择参数为

p.random_distortion(probability=0.8, grid_height=3, grid_width=3, magnitude=6)

probability表示生成一批数据施加操作的概率，magnitude和grid_width,grid_height越大，扭曲程度越大

p.random_distortion(probability=0.6, grid_height=6, grid_width=6, magnitude=5)

p.random_distortion(probability=0.6, grid_height=6, grid_width=6, magnitude=9)

p.random_distortion(probability=0.6, grid_height=10, grid_width=10, magnitude=5)

2.random_erasing(probability, rectangle_area)

rectangle_area表示覆盖区域的比例，值越大比例越大，设置为1的时候并不是全覆盖。

p.random_erasing(1,1)

3.zoom_random(probability, percentage_area)

放大图片，然后按照percenta_area的比例对图片进行crop。

p.zoom_random(probability=1, percentage_area=0.2)

p.zoom_random(probability=1, percentage_area=0.8)

4.zoom(probability, min_factor, max_factor)

p.zoom_random(probability=1, percentage_area=0.8)

p.zoom_random(probability=1, percentage_area=0.8)

5.组合操作

p.rotate_random_90(probability=0.8)
p.random_distortion(probability=0.8, grid_height=3, grid_width=3, magnitude=6)
p.random_erasing(0.3, 0.2)
p.zoom(probability=0.4, min_factor=1.1, max_factor=1.5)
p.sample(6)

借鉴了一些内容Augmentor使用介绍