Revise paste Python/Hand detection_motor_pump

# HAND DETECTION_MOTOR_PUMP/Python
# By: Randy Canada
import cv2
import mediapipe as mp
import serial
import time

print(cv2.__version__)

arduino = serial.Serial('COM3', 115200)

class poseTracker:
    def __init__(self, width=1280, height=720):
        self.width = width
        self.height = height
        self.cam = cv2.VideoCapture(0, cv2.CAP_DSHOW)
        self.cam.set(cv2.CAP_PROP_FRAME_WIDTH, width)
        self.cam.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
        self.cam.set(cv2.CAP_PROP_FPS, 30)
        self.cam.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*'MJPG'))
        self.hands = mp.solutions.hands.Hands(static_image_mode=False, max_num_hands=2, min_detection_confidence=0.3, min_tracking_confidence=0.3)
        self.faceMesh = mp.solutions.face_mesh.FaceMesh(static_image_mode=False, max_num_faces=3, min_detection_confidence=0.5, min_tracking_confidence=0.5)
        self.mpDraw = mp.solutions.drawing_utils
        self.last_gesture = None  # Initialize last_gesture
        self.last_gesture_time = time.time()  # Initialize last_gesture_time

def mesh(self, frame):
        frameRGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        results = self.faceMesh.process(frameRGB)
        meshBound = []
        if results.multi_face_landmarks:
            for faceLandmarks in results.multi_face_landmarks:
                indexCount = 0
                for lm in faceLandmarks.landmark:
                    meshBound.append((int(lm.x * self.width), int(lm.y * self.height)))
        return meshBound

def handDetection(self, frame):
        frameRGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        hands_results = self.hands.process(frameRGB)
        self.drawSpecCircle = self.mpDraw.DrawingSpec(thickness=1, circle_radius=1, color=(255, 0, 0))
        self.drawSpecLine = self.mpDraw.DrawingSpec(thickness=2, circle_radius=2, color=(0, 255, 0))
        myHands = []
        handsType = []

if hands_results.multi_hand_landmarks:
            for hand_landmarks, handedness in zip(hands_results.multi_hand_landmarks, hands_results.multi_handedness):
                myHand = []
                count = 0
                for Landmark in hand_landmarks.landmark:
                    #cv2.putText(frame, str(count), (int(Landmark.x * self.width), int(Landmark.y * self.height)), cv2.FONT_HERSHEY_SCRIPT_COMPLEX, fontScale=0.8, color=(0, 0, 0), thickness=1)
                    count += 1
                    myHand.append((int(Landmark.x * self.width), int(Landmark.y * self.height)))
                myHands.append(myHand)
                handsType.append(handedness.classification[0].label)
                # Customize the color of hand connections here
                self.mpDraw.draw_landmarks(frame, hand_landmarks, mp.solutions.hands.HAND_CONNECTIONS,self.drawSpecCircle,self.drawSpecLine)
        return myHands, handsType

def run(self):
        while True:
            ret, frame = self.cam.read()
            if not ret:
                break
            
            # meshLocation = self.mesh(frame)
            myHands1, handsType = self.handDetection(frame)

right_hand_points = []
            left_hand_points = []
            gesture_detected = False

if myHands1:
                for hand, handType in zip(myHands1, handsType):
                    if handType == 'Right':
                        right_hand_points.extend(hand)
                    elif handType == 'Left':
                        left_hand_points.extend(hand)
                print(handsType)

rightThumbDown = (right_hand_points and right_hand_points[0][1] < right_hand_points[1][1] < right_hand_points[2][1] < right_hand_points[3][1] < right_hand_points[4][1] 
                                and right_hand_points[4][1] > right_hand_points[6][1])
                leftThumbDown = (left_hand_points and left_hand_points[0][1] < left_hand_points[1][1] < left_hand_points[2][1] < left_hand_points[3][1] < left_hand_points[4][1] 
                                and left_hand_points[4][1] > left_hand_points[6][1])
                rightThumbUp =  (right_hand_points and right_hand_points[4][1] < right_hand_points[3][1] < right_hand_points[2][1] < right_hand_points[1][1] and 
                                right_hand_points[6][1] > right_hand_points[4][1] and right_hand_points[12][1] > right_hand_points[4][1] 
                                and right_hand_points[16][1] > right_hand_points[4][1] and right_hand_points[17][1] > right_hand_points[4][1])
                leftThumbUp  = (left_hand_points and left_hand_points[4][1] < left_hand_points[3][1] < left_hand_points[2][1] < left_hand_points[1][1] and 
                                left_hand_points[6][1] > left_hand_points[4][1] and left_hand_points[12][1] > left_hand_points[4][1] and 
                                left_hand_points[16][1] > left_hand_points[4][1] and left_hand_points[17][1] > left_hand_points[4][1])
                highFive = ((right_hand_points and right_hand_points[20][1] < right_hand_points[18][1] and right_hand_points[8][1] < right_hand_points[0][1]) or
                            (left_hand_points and left_hand_points[20][1] < left_hand_points[18][1]) and left_hand_points[8][1] < left_hand_points[0][1])

if (rightThumbUp and not leftThumbDown) or (leftThumbUp and not rightThumbDown):
                    gesture = 'Thumb'
                    cv2.putText(frame, 'Start Pouring!', (500, 100), cv2.FONT_ITALIC, fontScale=2, color=(255, 0, 0), thickness=3)
                    gesture_detected = True
                elif highFive:
                    gesture = 'HighFive'
                    cv2.putText(frame, 'Stop Pouring!', (500, 100), cv2.FONT_ITALIC, fontScale=2, color=(0, 0, 255), thickness=3)
                    gesture_detected = True
                else:
                    gesture = 'Unknown'
                    cv2.putText(frame, 'Unknown Gesture', (500, 100), cv2.FONT_ITALIC, fontScale=2, color=(0, 255, 0), thickness=3)
                    gesture_detected =False

current_time = time.time()
                if gesture != self.last_gesture and (current_time - self.last_gesture_time) > 1:  # Debounce time of 1 second
                    self.last_gesture = gesture
                    self.last_gesture_time = current_time
                    if gesture == 'Thumb':
                        gesture = gesture + '\r'
                        print(f"Sending gesture: {gesture.strip()}")
                        arduino.write(gesture.encode())
                    if gesture == 'HighFive':
                        gesture = gesture + '\r'
                        print(f"Sending gesture: {gesture.strip()}")
                        arduino.write(b'HighFive\r')
                    else:
                        if self.last_gesture != "Unknown":
                            self.last_gesture = "Unknown"
                            print("Sending gesture: Unknown")
                            #self.last_gesture = None
                            
            cv2.imshow('my WEBcam', frame)
            cv2.moveWindow('my WEBcam', 0, 0)
            if cv2.waitKey(1) & 0xff == ord('q'):
                break

self.cam.release()
        cv2.destroy

pose_Tracker = poseTracker()
pose_Tracker.run()
arduino.close()