HandTrackingModule.py

import cv2
import mediapipe as mp
import time

class handDetector():
    def __init__(self, mode=False, max_num_hands=2, detectionCon=0.5, trackCon=0.5):
        self.mode = mode
        self.maxHands = max_num_hands
        self.detectionCon = detectionCon
        self.trackCon = trackCon
        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(
            static_image_mode=self.mode,
            max_num_hands=self.maxHands,
            min_detection_confidence=self.detectionCon,
            min_tracking_confidence=self.trackCon
        )
        self.mpDraw = mp.solutions.drawing_utils

    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:
                    # Draw lines between landmarks (connections)
                    for connection in self.mpHands.HAND_CONNECTIONS:
                        start = connection[0]
                        end = connection[1]
                        x1, y1 = int(handLms.landmark[start].x * img.shape[1]), int(handLms.landmark[start].y * img.shape[0])
                        x2, y2 = int(handLms.landmark[end].x * img.shape[1]), int(handLms.landmark[end].y * img.shape[0])
                        cv2.line(img, (x1, y1), (x2, y2), (255, 255, 255), 2)  # ⚪ White lines

                    # Draw smaller red dots for landmarks
                    for landmark in handLms.landmark:
                        x, y = int(landmark.x * img.shape[1]), int(landmark.y * img.shape[0])
                        cv2.circle(img, (x, y), 5, (0, 0, 255), cv2.FILLED)  # 🔴 Smaller red dots (radius=5)

        return img

    def findPosition(self, img, handNo=0, draw=True):
        lmList = []
        if self.results.multi_hand_landmarks:
            if len(self.results.multi_hand_landmarks) > handNo:
                myHand = self.results.multi_hand_landmarks[handNo]
                h, w, c = img.shape
                for id, lm in enumerate(myHand.landmark):
                    cx, cy = int(lm.x * w), int(lm.y * h)
                    lmList.append([id, cx, cy])

                    if draw:
                        cv2.circle(img, (cx, cy), 5, (0, 0, 255), cv2.FILLED)  # 🔴 Smaller red dots
                        cv2.putText(img, str(id), (cx + 5, cy - 5), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 2)

        return lmList

def main():
    pTime = 0
    cap = cv2.VideoCapture(0)

    if not cap.isOpened():
        print("Error: Camera not found")
        return

    detector = handDetector()

    while True:
        success, img = cap.read()
        if not success:
            print("Error: Could not read frame.")
            break

        img = detector.findHands(img)
        lmList = detector.findPosition(img)

        if lmList:
            print(f"{lmList[4][0]} {lmList[4][1]} {lmList[4][2]}")  # ✅ Fixed print format: "ID X Y"

        cTime = time.time()
        fps = 1 / (cTime - pTime)
        pTime = cTime

        cv2.putText(img, f'FPS: {int(fps)}', (10, 70), cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)
        cv2.imshow("Image", img)

        if cv2.waitKey(1) & 0xFF == 27:  # Press 'Esc' to exit
            break

    cap.release()
    cv2.destroyAllWindows()

if __name__ == "__main__":
    main()