should be back to normal

WorkingPyDemo.py

@@ -74,8 +74,7 @@ def predict_pix(tiff_image_path, difference = True):
     A       ndarray(3 X 3): system of equation
     """
     image_obj = Image.open(tiff_image_path)    #Open the image and read it as an Image object
-    # image_array = np.array(image_obj)[1:].astype(int)    #Convert to an array, leaving out the first row because the first row is just housekeeping data
-    image_array = np.array(image_obj).astype(int)
+    image_array = np.array(image_obj)[1:].astype(int)    #Convert to an array, leaving out the first row because the first row is just housekeeping data
     # image_array = image_array.astype(int) 
     # A = np.array([[3,0,-1],[0,3,3],[1,-3,-4]]) # the matrix for system of equation
     Ainv = np.array([[0.5,-0.5,-0.5],[-0.5,1.83333333,1.5],[0.5,-1.5,-1.5]])
@@ -518,17 +517,13 @@ if __name__ == "__main__":
     scenes = file_extractor(folder_name)
     images = image_extractor(scenes)
     newnamesforlater = []
-    list_dic, bins = make_dictionary(images[19:20], 4, False)
+    list_dic, bins = make_dictionary(images, 4, False)
     file_sizes_new = []
     file_sizes_old = []
     # list_dic = np.load("first_dic.npy", allow_pickle="TRUE")
     bins = [21,32,48]
-    for i,item in enumerate(images):
-        if "NoI" in item:
-            print(item)
-            print(i)
     # np.save("first_dic.npy", list_dic)
-    for i in range(19,len(images[0:20])):
+    for i in range(len(images)):
 
         image, new_error, diff = huffman(images[i], 4, False)
         encoded_string = encoder(new_error, list_dic, diff, bins)
@@ -538,19 +533,19 @@ if __name__ == "__main__":
             newname = images[i][:-5]
         else:
             newname = images[i][:-4]
-        print(newname)
+        # print(newname)
         newnamesforlater.append(newname + "_Compressed.txt")
         with open(newname + "_Compressed.txt", 'wb') as f:
             f.write(inletters)
-        file_sizes_new.append((os.path.getsize(newname + "_Compressed.txt")))
-        file_sizes_old.append((os.path.getsize(images[i])))
+        # file_sizes_new.append((os.path.getsize(newname + "_Compressed.txt")))
+        # file_sizes_old.append((os.path.getsize(images[i])))
         # sleep(5)
         # if i % 50 == 0:
         #     print(i)
         #     sleep(20)
-    print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
-    file_sizes_new.append(os.path.getsize("first_dic.npy"))
-    print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
+    # print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
+    # file_sizes_new.append(os.path.getsize("first_dic.npy"))
+    # print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
     # list_dic = np.load("first_dic.npy", allow_pickle="TRUE")
     bins = [21,32,48]