More testing

OCR.py

@@ -1,6 +1,7 @@
 import cv2
 from PIL import Image
 import pytesseract
+from wand.image import Image as WandImage
 
 card_name_roi = { 'x':44, 'y':32, 'w':360, 'h':40 }
 
@@ -35,7 +36,14 @@ def thick_font(image):
 
 file_path = "data/WTR/WTR003.png"
 
-img = cv2.imread(file_path)
+with WandImage(filename=file_path) as img2:
+    width = img2.width
+    height = img2.height
+    img2.resize(width*4, height*4)
+    img2.save(filename="temp/big.jpg")
+
+big_file_path = "temp/big.jpg"
+img = cv2.imread(big_file_path)
 inverted_image = cv2.bitwise_not(img)
 cv2.imwrite("temp/inverted.jpg", inverted_image)
 
@@ -55,7 +63,7 @@ dilated_image = thick_font(no_noise)
 cv2.imwrite("temp/dilated_image.jpg", dilated_image)
 
 im = Image.open(file_path)
-ocr_result = pytesseract.image_to_string(im)
+ocr_result = pytesseract.image_to_string(im, config='psm 11')
 print("Unaltered:")
 print (ocr_result)
 print("===========================")
@@ -106,5 +114,5 @@ def testArea(image, x,y,w,h):
     ocr_result = pytesseract.image_to_string(gray_image)
     print(ocr_result)
 
-testArea(img, card_name_roi['x'], card_name_roi['y'], card_name_roi['w'], card_name_roi['h'])
+testArea(img, card_name_roi['x']*4, card_name_roi['y']*4, card_name_roi['w']*4, card_name_roi['h']*4)
 cv2.imwrite("temp/markup.jpg", img)