Merge remote-tracking branch 'origin/master'

menti_words.py

@@ -4,6 +4,7 @@ import pydirectinput
 from nltk.corpus import words
 from pytesseract import pytesseract
 
+import utils
 from utils import mse
 from game_base_class import GameBase
 import random
@@ -87,7 +88,7 @@ class MentiWords(GameBase):
 
         with open("menti_dic") as file:
             self.word_list = [line.rstrip() for line in file]
-        self.word_list2 = words.words()
+        #self.word_list2 = words.words()
 
     def reset_lists(self):
         self.current_letters = []
@@ -126,7 +127,7 @@ class MentiWords(GameBase):
 
         #screenshot = cv.imread("menti_words/screenshot.jpg")
         screenshot = self.capture_window.get_screenshot()
-        screenshot = screenshot[870:1270, 1080:1480]
+        screenshot = utils.scale_screenshot(screenshot[870:1270, 1080:1480], 200, False)
 
         #cv.imshow("screenshot", screenshot)
         #cv.waitKey(150)
@@ -134,26 +135,35 @@ class MentiWords(GameBase):
         for needle_key in self.needles.keys():
             # gray_needle = cv.cvtColor(self.needles[needle_key], cv.COLOR_BGR2GRAY)
             # thresh_needle = cv.threshold(gray_needle, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
-            rectangles = self.vision_stun.find(screenshot, self.needles[needle_key], 0.85, 1)
+
+            thresh_needle = utils.scale_screenshot(self.needles[needle_key], 200, False)
+            rectangles = self.vision_stun.find(screenshot, thresh_needle , 0.85, 2)
             #rectangles = self.vision_stun.find(screenshot, self.needles[needle_key], 0.95, 1 ,True, self.masks[needle_key])
             if len(rectangles) == 0:
                 continue
+            points = self.vision_stun.get_click_points(rectangles)
+            for point in points:
+                self.current_letters.append(needle_key)
+                self.letter_coords[needle_key] = (int(point[0]/2), int(point[1]/2))
+            '''
             cropped1 = self.vision_stun.draw_display_picture(screenshot, rectangles, 10)
-
+            #cropped1 = utils.scale_screenshot(cropped1)
+            cv.imshow("cropped1", cropped1)
+            cv.waitKey(150)
             text_1 = pytesseract.image_to_string(cropped1, lang='eng', config='--psm 6').strip()
             if str.isalpha(text_1):
                 #cv.imshow("cropped1", cropped1)
                 #cv.waitKey(150)
                 points = self.vision_stun.get_click_points(rectangles)
                 self.current_letters.append(text_1)
-                self.letter_coords[text_1] = points[0]
+                self.letter_coords[text_1] = points[0]'''
             if self.overlay.run_mode == 'stopped' or self.overlay.run_mode == 'paused':
                 return
 
     def possible_words(self, lwords, charSet):
         lst = []
         for word in lwords:
-            if len(word) <= 2:
+            if len(word) <= 1:
                 continue
             flag = 1
             chars = self.charCount(word)

utils.py

@@ -61,18 +61,20 @@ def check_for_bl_line(line_item, black_list):
     return False
 
 
-def scale_screenshot(screenshot):
-    scale_percent = 200  # percent of original size
+def scale_screenshot(screenshot, percent = 200, thresh_mode = True):
+    scale_percent = percent  # percent of original size
     width = int(screenshot.shape[1] * scale_percent / 100)
     height = int(screenshot.shape[0] * scale_percent / 100)
     dim = (width, height)
     resized_img = cv.resize(screenshot, dim, interpolation=4)
 
+    if thresh_mode:
         gray = cv.cvtColor(resized_img, cv.COLOR_BGR2GRAY)
         thresh = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)[1]
+        return thresh
     # cv.imshow("Tresh", thresh)
     # cv.waitKey(1000)
-    return thresh
+    return resized_img
 
 
 def save_line_item_npy_jpg(short_pic_list):