从 POST 请求到 web.py 神经网络包装器的响应

Question

阅读 Michael Nielson's excellent free book on neural networks, I wanted to try out a canvas based web interface to see how well it would perform on my own hand-written input. The result is this branch 在他的分叉示例代码库中的前三章。它包括一个方块 canvas，用户可以用它勾勒出数字，然后它对网络的 web.py 包装器执行 XHR POST。

我遇到的问题是 web.py，特别是：

class recognize:
    def POST(self, name):
        # read in posted base64 data, assume PNG, convert to greyscale
        data = web.data()
        file = cStringIO.StringIO(urllib.urlopen(data).read())
        img = Image.open(file).convert('L')
        # resize to 28x28
        img.thumbnail((28,28), Image.ANTIALIAS)
        # convert to vector
        vec = np.asarray(img).reshape((28*28,1)).astype(float)
        # feed foward through neural network
        digit = net.recognize(vec)
        print digit
        return digit

最后一行似乎无关紧要，我无法在对 javascript 客户端的 HTTP 响应中获取 digit。有没有其他方法可以将 digit 放入响应中？

Answer 1

python 方面很好，您实际上需要在 index.html 中的 XMLHttpRequest 上注册一个回调，以便捕获 recognize

的响应

function exportImage() {
  var xhr = new XMLHttpRequest();
  xhr.onreadystatechange = function() {
      if (xhr.readyState == 4 && xhr.status == 200) {
         alert(xhr.responseText) //capture digit here and do something with it
      }
  };
  xhr.open("POST", "//localhost:8080/recognize", true);
  xhr.send(canvas.toDataURL());
}

从 POST 请求到 web.py 神经网络包装器的响应

Get response from POST request to web.py wrapper around neural network

python

ajax

web.py

neural-network