issue nishtha981#3 :crossing hands stops the code

main.py

@@ -11,12 +11,23 @@
 
 cap = cv2.VideoCapture(0)
 
+def are_hands_crossed(hand_landmarks, width):
+    if len(hand_landmarks) < 2:
+        return False
+
+    left_wrist_x = hand_landmarks[0].landmark[mp_hands.HandLandmark.WRIST].x * width
+    right_wrist_x = hand_landmarks[1].landmark[mp_hands.HandLandmark.WRIST].x * width
+
+    return left_wrist_x > right_wrist_x
+
 def hand_tracking():
     with mp_hands.Hands(
         model_complexity=1,
         min_detection_confidence=0.4,
         min_tracking_confidence=0.4) as hands:
 
+        hands_crossed = False
+
         while cap.isOpened():
             success, image = cap.read()
             h, w, c = image.shape
@@ -39,6 +50,14 @@ def hand_tracking():
                                                   mp_drawing_styles.get_default_hand_landmarks_style(),
                                                   mp_drawing_styles.get_default_hand_connections_style())
 
+                        if are_hands_crossed(results.multi_hand_landmarks, w):
+                            if not hands_crossed:
+                                hands_crossed = True
+                                print("Hands crossed. Stopping the code.")
+                                break
+                        else:
+                            hands_crossed = False
+
                         index_finger_tip = hand_landmarks.landmark[0]
 
                         index_finger_tip_x = index_finger_tip.x * w
@@ -72,4 +91,4 @@ def hand_tracking():
 
 key_stimulation_thread.start()
 
-hand_tracking()
+hand_tracking()

tempCodeRunnerFile.python

@@ -0,0 +1,94 @@
+import numpy as np
+import mediapipe as mp
+import cv2
+import time
+import threading
+import hand_position
+
+mp_drawing = mp.solutions.drawing_utils
+mp_drawing_styles = mp.solutions.drawing_styles
+mp_hands = mp.solutions.hands
+
+cap = cv2.VideoCapture(0)
+
+def are_hands_crossed(hand_landmarks, width):
+    if len(hand_landmarks) < 2:
+        return False
+
+    left_wrist_x = hand_landmarks[0].landmark[mp_hands.HandLandmark.WRIST].x * width
+    right_wrist_x = hand_landmarks[1].landmark[mp_hands.HandLandmark.WRIST].x * width
+
+    return left_wrist_x > right_wrist_x
+
+def hand_tracking():
+    with mp_hands.Hands(
+        model_complexity=1,
+        min_detection_confidence=0.4,
+        min_tracking_confidence=0.4) as hands:
+
+        hands_crossed = False
+
+        while cap.isOpened():
+            success, image = cap.read()
+            h, w, c = image.shape
+            start = time.perf_counter()
+
+            image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
+
+            image.flags.writeable = False
+
+            results = hands.process(image)
+
+            image.flags.writeable = True
+
+            image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+
+            if results.multi_hand_landmarks:
+                for hand_landmarks in results.multi_hand_landmarks:
+                    if hand_landmarks.landmark:
+                        mp_drawing.draw_landmarks(image, hand_landmarks, mp_hands.HAND_CONNECTIONS,
+                                                  mp_drawing_styles.get_default_hand_landmarks_style(),
+                                                  mp_drawing_styles.get_default_hand_connections_style())
+
+                        if are_hands_crossed(results.multi_hand_landmarks, w):
+                            if not hands_crossed:
+                                hands_crossed = True
+                                print("Hands crossed. Stopping the code.")
+                                break
+                        else:
+                            hands_crossed = False
+
+                        index_finger_tip = hand_landmarks.landmark[0]
+
+                        index_finger_tip_x = index_finger_tip.x * w
+                        index_finger_tip_y = index_finger_tip.y * h
+
+                        if index_finger_tip_x > w/2:
+                            cv2.putText(image, "Right", (500, 70),
+                                        cv2.FONT_HERSHEY_SIMPLEX, 1.5, (0, 250))
+                        elif index_finger_tip_x < w/2:
+                            cv2.putText(image, "Left", (500, 70),
+                                        cv2.FONT_HERSHEY_SIMPLEX, 1.5, (250, 0))
+
+                cv2.line(image, (int(w/2), 0), (int(w/2), h), (0, 255, 0), 2)
+
+                end = time.perf_counter()
+                totalTime = end - start
+
+                fps = 1/totalTime
+
+                cv2.putText(image, f'FPS: {int(fps)}', (20, 70),
+                            cv2.FONT_HERSHEY_SIMPLEX, 1.5, (0, 0, 0), 2)
+                cv2.imshow('MediaPipe Hands', image)
+
+            if cv2.waitKey(5) & 0xFF == 27:
+                break
+
+    cap.release()
+    cv2.destroyAllWindows()
+
+key_stimulation_thread = threading.Thread(target=hand_position.stimulate_keys)
+
+key_stimulation_thread.start()
+
+hand_tracking()