【发布时间】:2022-07-18 04:44:30
【问题描述】:
import numpy as np
from keras.preprocessing import image
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
%matplotlib inline
path = './test/paper2.png'
img = image.load_img(path, target_size=(150,150))
imgplot = plt.imshow(img)
x = image.img_to_array(img)
img_test = np.expand_dims(x, axis=0)
classes = model.predict(img_test, batch_size=10)
print(classes)
paper, rock, scissors = classes[0]
if paper==1.:
print('paper')
elif rock==1.:
print('rock')
else:
print('scissors')
输出:
AttributeError: module 'keras.preprocessing.image' has no attribute 'load_img'
当我尝试跑步时。错误是什么意思,我该如何解决? 帮助伙计们:) 我正在尝试学习 我已经不知道哪个错了
【问题讨论】:
-
请不要发布文字图片。编辑您的帖子以包含实际文本
-
对不起...好的,已经完成了
-
尝试
from tensorflow.keras.preprocessing import image,而不是这里提到的@Almaz Fazulzyanov
标签: python tensorflow keras jupyter-lab image-preprocessing