HandTrackingModule.py

import cv2
import mediapipe as mp
import time
import math
import numpy as np


class handDetector():
    def __init__(self, mode=False, maxHands=2, detectionCon=0.5, trackCon=0.75):
        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
        self.tipIds = [4, 8, 12, 16, 20]

    def findHands(self,img, draw = True):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.results = self.hands.process(imgRGB)
        # print(results.multi_hand_landmarks)

        if self.results.multi_hand_landmarks:
            for handLms in self.results.multi_hand_landmarks:
                if draw:
                    self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
        return img

    def findPosition(self, img, handNo = 0, draw = True):

        self.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)
                self.lmlist.append([id, cx, cy])
                if draw:
                    cv2.circle(img, (cx, cy), 3, (255, 0, 255), cv2.FILLED)
        return self.lmlist
    
    def fingersUp(self):
        fingers=[]

        # thumb
        if self.lmlist[self.tipIds[0]][1] < self.lmlist[self.tipIds[0]-1][1]:
            fingers.append(1)
        else:
            fingers.append(0)
        
        #4 fingers
        for id in range(1,5):
            if self.lmlist[self.tipIds[id]][2] < self.lmlist[self.tipIds[id]-2][2]:
                fingers.append(1)
            else:
                fingers.append(0)

        return fingers

   

def main():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(0)
    detector = handDetector()

    while True:
        success, img = cap.read()
        img = detector.findHands(img)
        lmlist = detector.findPosition(img)
        if len(lmlist) != 0:
            print(lmlist[4])

        cTime = time.time()
        fps = 1 / (cTime - pTime)
        pTime = cTime

        cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3)

        cv2.imshow("Image", img)
        cv2.waitKey(1)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

if __name__ == "__main__":
    main()