sklern中 fetch_lfw_people(min_faces_per_person=20, resize=0.7) 失败的问题

1、因为要下载的数据过大，运行缓慢，或者直接就报错：可手动下载数据解压至C:\Users\Administrator\scikit_learn_data\lfw_home 路径。

对每一张图片而言完整的路径是："C:\Users\Administrator\scikit_learn_data\lfw_home\lfw_funneled\Aaron_Eckhart\Aaron_Eckhart_0001.jpg"

数据资源下载连接为：https://www.cnblogs.com/shanger/articles/11901085.html

 

2、修改为如下的代码运行：

from sklearn.datasets import fetch_lfw_people

people = fetch_lfw_people(min_faces_per_person=20, resize=0.7, download_if_missing=False)

如果提示缺少

 之一

 点击下载：https://www.cnblogs.com/shanger/articles/11901085.html

并存入 C:\Users\Administrator\scikit_learn_data\lfw_home 路径

 

3、再次运行

from sklearn.datasets import fetch_lfw_people

people = fetch_lfw_people(min_faces_per_person=20, resize=0.7, download_if_missing=False)

应该不会报错了。

 

4、显示图片

image_shape = people.images[0].shape

import matplotlib.pyplot as plt

%matplotlib notebook

fig, axes = plt.subplots(2, 5, figsize=(18, 5),
                         subplot_kw={'xticks': (), 'yticks':()})
for target, image, ax in zip(people.target, people.images, axes.ravel()):
    ax.imshow(image)
    ax.set_title(people.target_names[target])

 

完美解决！