add tensorflow backend support

hyperlpr/finemapping_vertical.py

@@ -23,7 +23,7 @@ def getModel():
     return model
 
 model = getModel()
-# model.load_weights("./model/model12.h5")
+model.load_weights("./model/model12.h5")
 
 
 def finemappingVertical(image):

hyperlpr/niblack_thresholding.py

@@ -1,8 +1,6 @@
 import cv2
 import numpy as np
 
-from skimage.filters import (threshold_otsu, threshold_niblack,
-                             threshold_sauvola)
 
 
 def niBlackThreshold(  src,  blockSize,  k,  binarizationMethod= 0 ):

hyperlpr/pipline.py

@@ -221,7 +221,7 @@ def SimpleRecognizePlate(image):
         if len(val)==3:
             blocks, res, confidence = val
             if confidence/7>0.7:
-                # image =  drawRectBox(image,rect,res)
+                image =  drawRectBox(image,rect,res)
                 res_set.append(res)
                 for i,block in enumerate(blocks):