Virtual-Mouse/HandTrackingModule.py at main · adi-kernelx/Virtual-Mouse · GitHub

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


class handDetector():
    def __init__(self, mode=False, maxHands=1, detection_confidence=0.8, tracking_confidence=0.8):
        self.mode = mode
        self.maxHands = maxHands
        self.detection_confidence = detection_confidence
        self.tracking_confidence = tracking_confidence

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(
            static_image_mode=self.mode,
            max_num_hands=self.maxHands,
            min_detection_confidence=self.detection_confidence,
            min_tracking_confidence=self.tracking_confidence
        )
        self.mpDraw = mp.solutions.drawing_utils
        self.tipIds = [4, 8, 12, 16, 20]  # [thumb, index, middle, ring, pinky]

    def findHands(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,
                                               self.mpDraw.DrawingSpec(color=(255, 0, 255), thickness=2,
                                                                       circle_radius=2),
                                               self.mpDraw.DrawingSpec(color=(57, 255, 20), thickness=2))
        return img

    def findPosition(self, img, handNo=0, draw=True):
        self.lmList = []
        xList = []
        yList = []
        bbox = []

        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])
                xList.append(cx)
                yList.append(cy)

                if draw and id in self.tipIds:
                    cv2.circle(img, (cx, cy), 5, (255, 0, 0), cv2.FILLED)

            if xList and yList:
                bbox = min(xList), min(yList), max(xList), max(yList)
                if draw:
                    cv2.rectangle(img, (bbox[0] - 20, bbox[1] - 20),
                                  (bbox[2] + 20, bbox[3] + 20), (0, 255, 0), 2)

        return self.lmList, bbox

    def fingersUp(self):
        fingers = []
        if len(self.lmList) >= 21:
            # Thumb
            if self.lmList[self.tipIds[0]][1] < self.lmList[self.tipIds[0] - 1][1]:
                fingers.append(1)
            else:
                fingers.append(0)

            # Other 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 findDistance(self, p1, p2, img=None, 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 and img is not None:
            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, [x1, y1, x2, y2, cx, cy]