01. Hand_Tracking_Module.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=0.5):
        self.mode = mode
        self.maxHands = maxHands
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode, self.maxHands,
        self.detectionCon, 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):
    xList = []
    yList = []
    bbox = []
    self.lmList = []
    if self.results.multi_hand_landmarks:
        myHand = self.results.multi_hand_landmarks[handNo]
        for id, lm in enumerate(myHand.landmark):
            # print(id, lm)
            h, w, c = img.shape
            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])
            if draw:
                cv2.circle(img, (cx, cy), 5, (255, 0, 255), cv2.FILLED)

    xmin, xmax = min(xList), max(xList)
    ymin, ymax = min(yList), max(yList)
    bbox = xmin, ymin, xmax, ymax

    if draw:
        cv2.rectangle(img, (xmin - 20, ymin - 20), (xmax + 20, ymax + 20),
        (0, 255, 0), 2)

    return self.lmList, bbox

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)

    # 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)

        # totalFingers = fingers.count(1)

    return fingers

def findDistance(self, p1, p2, img, draw=True,r=15, t=3):
    x1, y1 = self.lmList[p1][1:]
    x2, y2 = self.lmList[p2][1:]
    cx, cy = (x1 + x2) // 2, (y1 + y2) // 2

    if draw:
        cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), t)
        cv2.circle(img, (x1, y1), r, (255, 0, 255), cv2.FILLED)
        cv2.circle(img, (x2, y2), r, (255, 0, 255), cv2.FILLED)
        cv2.circle(img, (cx, cy), r, (0, 0, 255), cv2.FILLED)
        length = math.hypot(x2 - x1, y2 - y1)

    return length, img, [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()