该教程位于http://mxnet.io/tutorials/python/mnist.html上。在这一步:“
from IPython.display import HTML
import cv2
import numpy as np
from mnist_demo import html, script
def classify(img):
img = img[len('data:image/png;base64,'):].decode('base64')
img = cv2.imdecode(np.fromstring(img, np.uint8), -1)
img = cv2.resize(img[:,:,3], (28,28))
img = img.astype(np.float32).reshape((1,1,28,28))/255.0
return model.predict(img)[0].argmax()
'''
To see the model in action, run the demo notebook at
https://github.com/dmlc/mxnet-notebooks/blob/master/python/tutorials/mnist.ipynb.
'''
HTML(html + script)
"
ImportError Traceback (last last call last) in () 2 import cv2 3 import numpy as np ----> 4 from mnist_demo import html, script 5 def classifier(img): 6 img = img[len('data:image/ png;base64,'):].decode('base64')
ImportError: No module named mnist_demo
我不知道是什么原因,我在谷歌上找不到答案。有人知道吗?