tracker.py

import cv2
import mediapipe as mp


class handTracker:
    def __init__(
        self, mode=False, maxHands=2, detectionCon=0.5, modelComplexity=1, trackCon=0.5
    ):
        self.mode = mode
        self.maxHands = maxHands
        self.detectionCon = detectionCon
        self.modelComplex = modelComplexity
        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

    def handsFinder(self, img, draw=True):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        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(
                        img, handlms, self.mpHands.HAND_CONNECTIONS
                    )
        return img

    def positionFinder(self, img, draw=True):
        lmlist = []
        if self.results.multi_hand_landmarks:
            for idx, handedness in enumerate(self.results.multi_handedness):
                Hand = self.results.multi_hand_landmarks[idx]
                for id, lm in enumerate(Hand.landmark):
                    h, w, c = img.shape
                    if id == 0:
                        cx, cy = int(lm.x * w), int(lm.y * h)
                        lmlist.append([handedness.classification[0].label, cx, cy])
                        if draw:
                            # Blue
                            cv2.circle(img, (cx, cy), 10, (194, 67, 25), cv2.FILLED)

        return lmlist