testfile.py

imgwide = 564

        from PIL import Image
        strn = "testpage/01000" + str(i) + ".bin.png"
        # img = Image.open('test2.png')
        # img = img.resize((imgwide, 64), Image.ANTIALIAS)

        img = cv2.imread(strn)
        img = cv2.resize(img, (imgwide, 64))
        # #


        img = np.asarray(img)
        img = img[:, :, 0]  # grab single channel

        im = img

        # plt.imshow(img,cmap='gray')
        # plt.show()
        # im = speckle(img)


        # img = img.astype(np.float32) / 255
        img = cv2.adaptiveThreshold(img, 1, cv2.ADAPTIVE_THRESH_MEAN_C, \
                                    cv2.THRESH_BINARY, 11, 2)

        # plt.imshow(img,cmap='gray')
        # plt.show()

        # a = a.astype(np.float32) / 255
        img = np.expand_dims(img, 0)

        data = np.reshape(img, (1, 64, imgwide))

        X_data = np.ones([1, imgwide, 64, 1])
        X_data[0, 0:imgwide, :, 0] = data[0, :, :].T
        #
        decode_batch(test_func, X_data)