sklern中 fetch_lfw_people(min_faces_per_person=20, resize=0.7) 失敗的問題

1、因為要下載的數據過大，運行緩慢，或者直接就報錯：可手動下載數據解壓至C:\Users\Administrator\scikit_learn_data\lfw_home 路徑。

對每一張圖片而言完整的路徑是："C:\Users\Administrator\scikit_learn_data\lfw_home\lfw_funneled\Aaron_Eckhart\Aaron_Eckhart_0001.jpg"

數據資源下載連接為：https://www.cnblogs.com/shanger/articles/11901085.html

 

2、修改為如下的代碼運行：

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

 點擊下載：https://www.cnblogs.com/shanger/articles/11901085.html

並存入 C:\Users\Administrator\scikit_learn_data\lfw_home 路徑

 

3、再次運行

from sklearn.datasets import fetch_lfw_people

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

應該不會報錯了。

 

4、顯示圖片

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])

 

完美解決！