main refactoring

@@ -9,6 +9,7 @@ doc = yaml.load(open('freset.yaml', 'r'))
 bil_op = doc["bilateralFilterData"]
 th_op = doc["thresholdData"]
 
+
 def main():
     parser = argparse.ArgumentParser(description='OCR program')
     parser.add_argument('img_file', type=str, help="Input Image File Name")
@@ -30,16 +31,17 @@ def tesseract_orc_to_file(img):
     with open('result\\foo.txt', "w") as f:
         f.write(text)
 
-def select_freset(type, img):
+
+def select_freset(op, img):
     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-    if type < 7:
+    if op < 7:
         gray = cv2.bilateralFilter(gray, int(bil_op[0]), int(bil_op[1]), int(bil_op[2]))
-        _, img = cv2.threshold(gray, int(th_op['threshVal'][type % 3]),
-                               int(th_op['threshMax'][0]), cv2.THRESH_BINARY_INV if type%2 else cv2.THRESH_BINARY)
-    elif type < 13:
-        _, img = cv2.threshold(gray, int(th_op['threshVal'][type % 3]),
+        _, img = cv2.threshold(gray, int(th_op['threshVal'][op % 3]),
+                               int(th_op['threshMax'][0]), cv2.THRESH_BINARY_INV if op % 2 else cv2.THRESH_BINARY)
+    elif op < 13:
+        _, img = cv2.threshold(gray, int(th_op['threshVal'][op % 3]),
                                int(th_op['threshMax'][0]),
-                               cv2.THRESH_BINARY_INV if type % 2 else cv2.THRESH_BINARY)
+                               cv2.THRESH_BINARY_INV if op % 2 else cv2.THRESH_BINARY)
     tesseract_orc_to_file(img)