Hands-On Python Deep Learning for the Web

Loading and predicting using the CNTK model

We will now further edit the predictView view by following these steps:

1. First, read the Base64-encoded image string data to a variable using the following code:

def predictView(request):  # We will add more code below this line  post_data = request.POST.items()  pd = [p for p in post_data]  imgData = pd[1][0].replace(" ", "+")  imgData += "=" * ((4 - len(imgData) % 4) % 4)

The Base64-decoded string does not have proper padding and contains spaces that need to be converted into +. The last two lines in the previous code block perform the same manipulations on the string.

2. Next, we will convert this Base64-encoded string into a PNG image and save it to disk with the following lines:

filename = ''.join([random.choice(string.ascii_letters ...