import cv2
import mediapipe as mp

class GestureDetector():

    def __init__(self, mode=False, maxHands=2, detectionCon=0.5, trackCon=0.5):
        
        self.mode = mode
        self.maxHands = maxHands
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(static_image_mode=self.mode, 
                                            max_num_hands=self.maxHands,
                                            min_detection_confidence=self.detectionCon, 
                                            min_tracking_confidence=self.trackCon)
        self.mpDraw = mp.solutions.drawing_utils
        
    def findHands(self, img, draw=True):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.x,self.y,c=img.shape
        self.results = self.hands.process(imgRGB)
        if self.results.multi_hand_landmarks:
            for handLms in self.results.multi_hand_landmarks:
                if draw:
                    self.mpDraw.draw_landmarks(imgRGB, handLms, self.mpHands.HAND_CONNECTIONS)
        return imgRGB

    def findPosition(self, img, handNo=0):
        lmList = []
        if self.results.multi_hand_landmarks:
            myHand = self.results.multi_hand_landmarks[handNo]
            for id, lm in enumerate(myHand.landmark):
                h, w, c = img.shape
                cx, cy = int(lm.x * w), int(lm.y * h)
                lmList.append([id, cx, cy])
        return lmList