DigitClassifier.py 文件源码

def recognize(self):
        # ???????????????????
        img = self.input_canvas.getImage().filter(ImageFilter.BLUR).convert('L')
        img.thumbnail((28, 28), getattr(Image, 'ANTIALIAS'))
        img = img.point(lambda x: 255 - x)
        input = np.asarray(img).ravel()
        result = self.nn.test([input / 255.0], np.zeros(10))[0]
        num = max(enumerate(result), key=lambda x: x[1])[0]
        self.result_label.configure(text = str(num))
        print(num, result)