HandTrackingMod.py

import cv2
import mediapipe as mp
import time
import math


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
        # create an object -- arg == parameters
        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]
        #self.lmlist = lmlist

    def findHands(self, img, draw=True):
        # BGR to RGB
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.results = self.hands.process(imgRGB)
        # print(results.multi_hand_landmark)
        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):
        # landmark list
        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("1: ", id, lm)
                h, w, c = img.shape
                print("2: ", h, w, c)
                cx, cy = int(lm.x * w), int(lm.y * h)
                #print("lm.x, lm.y", lm.x, lm.y)
                xList.append(cx)
                yList.append(cy)

                #print(id, cx, cy)
                self.lmlist.append([id, cx, cy])
                #print(x)
                #if id == 0:
                if draw:
                    cv2.circle(img, (cx, cy), 3, (255, 0, 0), cv2.FILLED)
                # print(h,w,c)
                # cv2.putText(img, str(int(id)), (cx+1, cx+1), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 3)

            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= 5, t=2):
        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]