change algorithm for mis

Author: Jevin754

CL_algorithm.py

@@ -128,7 +128,7 @@ def makePrediction_mis_single(self, subImage, Dict, label):
     def __getFeature(self, img):
         nR = 6;
         nC = 4;
-        (r, c) = img.shape()
+        (r, c) = img.shape
         deltaR = r/nR
         deltaC = c/nC
         hist = np.zeros((nR, nC))
@@ -137,7 +137,8 @@ def __getFeature(self, img):
                 block = img[i*deltaR:(i+1)*deltaR, j*deltaC:(j+1)*deltaC]
                 hist[i,j] = block.sum()
         feat = hist.reshape(nR*nC)
-        feat = float(feat)/feat.sum()                
+        feat = feat/(float(feat.sum())+1)  
+        return feat              
 
 
     def get_narrowest(self, im_array):

CL_algorithm.pyc

@@ -112,8 +112,12 @@
 #    test = [im,im,im,im]
     img_test_mis = Image.open('test_mis.jpg')
     mis = MIS()
-    test = mis.split_codes(img_test_mis)
-    print mis.makePrediction_mis(test)
+    
+    a = np.zeros((30,20))
+    test = [a,a,a,a]    
+    
+#    test = mis.split_codes(img_test_mis)
+    print mis.makePrediction_mis_test(test)
 
 #    getTemplate_mis()