HandTracking.py

import cv2
import mediapipe as mp
import time
import math
import numpy as np
 
class HandTracking():
    def __init__(self, mode=False, maxHands=2, modelComplex=1, detectionCon=0.5, trackCon=0.5):
        self.mode = mode
        self.maxHands = maxHands
        self.modelComplex = modelComplex
        self.detectionCon = detectionCon
        self.trackCon = trackCon
 
        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.modelComplex, self.detectionCon, self.trackCon)
        self.mpDraw = mp.solutions.drawing_utils
        self.tipIds = [4, 8, 12, 16, 20]
 
    def findHands(self, img):
        self.results = self.hands.process(img)
 
        return self.results
 
    def findPosition(self, img, handNo=0):
        xList = []
        yList = []
        bbox = []
        self.lmList = []
        hand = []
        if self.results.multi_hand_landmarks:
            hand = self.results.multi_hand_landmarks[handNo]

            for id, lm in enumerate(hand.landmark):
                h = img.shape[0]
                w = img.shape[1]

                cx, cy = int(lm.x * w), int(lm.y * h)
                xList.append(cx)
                yList.append(cy)
                # print(id, cx, cy)
                self.lmList.append([id, cx, cy])
 
            xmin, xmax = min(xList), max(xList)
            ymin, ymax = min(yList), max(yList)
            bbox = xmin, ymin, xmax, ymax
 
        return self.lmList, hand
 
    def fingersUp(self, lmList):
        fingers = []
        # Thumb
        if lmList[self.tipIds[0]][1] > lmList[self.tipIds[0] - 1][1]:
            fingers.append(1)
        else:
            fingers.append(0)
 
        # Fingers
        for id in range(1, 5):
 
            if lmList[self.tipIds[id]][2] < lmList[self.tipIds[id] - 2][2]:
                fingers.append(1)
            else:
                fingers.append(0)
 
        # totalFingers = fingers.count(1)
 
        return fingers
 
    def findDistance(self, lmList, p1, p2, r=15, t=3):
        x1, y1 = lmList[p1][1:]
        x2, y2 = lmList[p2][1:]
        cx, cy = (x1 + x2) // 2, (y1 + y2) // 2
        length = math.hypot(x2 - x1, y2 - y1)
 
        return length, [x1, y1, x2, y2, cx, cy]
 
 
def main():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(1)
    detector = handDetector()
    while True:
        success, img = cap.read()
        img = detector.findHands(img)
        lmList, bbox = 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 __name__ == "__main__":
    main()