modify main code

 from pytesseract import image_to_string
 from pytesseract import image_to_string
 import argparse
 import argparse
 import cv2
 import cv2
+from pathlib import Path
+import os.path
+import yaml
 
 
+doc = yaml.load(open('freset.yaml', 'r'))
+bil_op = doc["bilateralFilterData"]
+th_op = doc["thresholdData"]
 
 
 def main():
 def main():
     parser = argparse.ArgumentParser(description='OCR program')
     parser = argparse.ArgumentParser(description='OCR program')
@@ -12,8 +18,9 @@ def main():
                         help="Select engine to Google-Vision and Tessreact")
                         help="Select engine to Google-Vision and Tessreact")
     args = parser.parse_args()
     args = parser.parse_args()
 
 
-    file_path = 'C:\\Users\\argos\\Desktop\\' + args.img_file
-    img = cv2.imread(file_path)
+    direct = Path(os.path.expanduser('~'))
+    file_path = direct / 'Desktop' / args.img_file
+    img = cv2.imread(str(file_path))
     select_freset(args.op, img)
     select_freset(args.op, img)
 
 
 
 
@@ -23,40 +30,16 @@ def tesseract_orc_to_file(img):
     with open('result\\foo.txt', "w") as f:
     with open('result\\foo.txt', "w") as f:
         f.write(text)
         f.write(text)
 
 
-
 def select_freset(type, img):
 def select_freset(type, img):
     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-    if type == 1:
-        #gray = cv2.GaussianBlur(gray, ksize=(3, 3), sigmaX=0)
-        gray = cv2.bilateralFilter(gray, 9, 75, 75)
-        _, img = cv2.threshold(gray, 30, 255, cv2.THRESH_BINARY)
-    elif type == 2:
-        gray = cv2.bilateralFilter(gray, 9, 75, 75)
-        _, img = cv2.threshold(gray, 30, 255, cv2.THRESH_BINARY_INV)
-    elif type == 3:
-        gray = cv2.bilateralFilter(gray, 9, 75, 75)
-        _, img = cv2.threshold(gray, 225, 255, cv2.THRESH_BINARY)
-    elif type == 4:
-        gray = cv2.bilateralFilter(gray, 9, 75, 75)
-        _, img = cv2.threshold(gray, 30, 225, cv2.THRESH_BINARY_INV)
-    elif type == 5:
-        _, img = cv2.threshold(gray, 30, 255, cv2.THRESH_BINARY)
-    elif type == 6:
-        _, img = cv2.threshold(gray, 30, 255, cv2.THRESH_BINARY_INV)
-    elif type == 7:
-        _, img = cv2.threshold(gray, 225, 255, cv2.THRESH_BINARY)
-    elif type == 8:
-        _, img = cv2.threshold(gray, 225, 255, cv2.THRESH_BINARY_INV)
-    elif type == 9:
-        _, img = cv2.threshold(gray, 98, 255, cv2.THRESH_BINARY)
-    elif type == 10:
-        _, img = cv2.threshold(gray, 98, 255, cv2.THRESH_BINARY_INV)
-    elif type == 11:
-        gray = cv2.bilateralFilter(gray, 9, 75, 75)
-        _, img = cv2.threshold(gray, 98, 255, cv2.THRESH_BINARY)
-    elif type == 12:
-        gray = cv2.bilateralFilter(gray, 9, 75, 75)
-        _, img = cv2.threshold(gray, 98, 255, cv2.THRESH_BINARY_INV)
+    if type < 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]),
+                               int(th_op['threshMax'][0]),
+                               cv2.THRESH_BINARY_INV if type % 2 else cv2.THRESH_BINARY)
     tesseract_orc_to_file(img)
     tesseract_orc_to_file(img)