gestures/gesture_recognition.py

@@ -1,15 +1,16 @@
 import cv2
 import mediapipe as mp
+
 mp_drawing = mp.solutions.drawing_utils
 mp_hands = mp.solutions.hands
 from math import sqrt
 
+
 def calculate_distance(ax, ay, bx, by):
     distance = sqrt(((bx - ax) ** 2 + (by - ay) ** 2))
     return distance
 
 
-
 hands = mp_hands.Hands(
     min_detection_confidence=0.5, min_tracking_confidence=0.5)
 cap = cv2.VideoCapture(0)
@@ -24,7 +25,6 @@ while cap.isOpened():
     image.flags.writeable = False
     results = hands.process(image)
 
-
     # Draw the hand annotations on the image.g
     image.flags.writeable = True
     image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
@@ -41,20 +41,19 @@ while cap.isOpened():
                 ay = hand_landmarks.landmark[8].y
                 bx = hand_landmarks.landmark[5].x
                 by = hand_landmarks.landmark[5].y
-        odleglosc_8_5 = calculate_distance(ax,ay, bx, by)
-        print(odleglosc_8_5)
+                distance_8_5 = calculate_distance(ax, ay, bx, by)
+                print(distance_8_5)
                 ax = hand_landmarks.landmark[5].x
                 ay = hand_landmarks.landmark[5].y
                 bx = hand_landmarks.landmark[0].x
                 by = hand_landmarks.landmark[0].y
-        odleglosc_5_0 = calculate_distance(ax, ay, bx, by)
-        print(odleglosc_5_0)
-        if(odleglosc_5_0 < odleglosc_8_5 + 0.1):
+                distance_5_0 = calculate_distance(ax, ay, bx, by)
+                print(distance_5_0)
+                if (distance_5_0 < distance_8_5 + 0.1):
                     print("wyprostowany")
                 else:
                     print("niewyprostowany")
 
-
                 # i += 1
                 # print(hand_landmarks.)
 
@@ -63,4 +62,3 @@ while cap.isOpened():
         break
 hands.close()
 cap.release()
-