refactored the code

tess.py

@@ -0,0 +1,31 @@
+############################################################
+### Project: coin
+### File: tess.py
+### Description: handles all pytesseract-related operations
+### Version: 1.0
+############################################################
+import sys, os, glob
+import cv2
+from PIL import Image
+import pytesseract
+from constants import *
+
+# get_tess_model_names(models_path): automatically finds all available
+#  language models in models_path
+def get_tess_model_names(models_path=MODELS_PATH):
+    models_list = glob.glob(models_path + "*.traineddata")
+    model_names = []
+    for path in models_list:
+        base_name = os.path.basename(path)
+        base_name = os.path.splitext(base_name)[0]
+        model_names.append(base_name)
+    return model_names
+
+# image_to_text(model, cropped_image): use the model with the name
+#  model to try to recognize the text in cropped_image
+def image_to_text(model, cropped_image):
+    gray = cv2.cvtColor(cropped_image, cv2.COLOR_BGR2GRAY)
+    gray = cv2.medianBlur(gray, 1)
+    crop = Image.fromarray(gray)
+    text = pytesseract.image_to_string(crop, lang=model).strip()
+    return text