2.0.py

import cv2
import mediapipe as mp
import time
from mediapipe.tasks.python import vision
from mediapipe.tasks.python import BaseOptions

# ===== MODEL =====
model_path = "hand_landmarker.task"

options = vision.HandLandmarkerOptions(
    base_options=BaseOptions(model_asset_path=model_path),
    num_hands=2,
    running_mode=vision.RunningMode.VIDEO
)

detector = vision.HandLandmarker.create_from_options(options)

# ===== HAND CONNECTIONS (Manual) =====
HAND_CONNECTIONS = [
    (0,1),(1,2),(2,3),(3,4),       # Thumb
    (0,5),(5,6),(6,7),(7,8),       # Index
    (5,9),(9,10),(10,11),(11,12),  # Middle
    (9,13),(13,14),(14,15),(15,16),# Ring
    (13,17),(17,18),(18,19),(19,20),# Pinky
    (0,17)                          # Palm base
]

# ===== CAMERA =====
cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)

print("Camera starting... Press ESC to exit")

while True:
    ret, frame = cap.read()
    if not ret:
        break

    frame = cv2.flip(frame,1)

    rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
    mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=rgb)

    timestamp = int(time.time()*1000)
    result = detector.detect_for_video(mp_image, timestamp)

    # ===== DRAW =====
    if result.hand_landmarks:
        h, w, _ = frame.shape

        for hand in result.hand_landmarks:

            # draw points
            for p in hand:
                cx, cy = int(p.x*w), int(p.y*h)
                cv2.circle(frame,(cx,cy),5,(0,255,0),-1)

            # draw lines
            for start,end in HAND_CONNECTIONS:
                x1,y1 = int(hand[start].x*w), int(hand[start].y*h)
                x2,y2 = int(hand[end].x*w), int(hand[end].y*h)
                cv2.line(frame,(x1,y1),(x2,y2),(255,0,0),2)

    cv2.imshow("Tasks Hand Tracker", frame)

    if cv2.waitKey(1)==27:
        break

cap.release()
cv2.destroyAllWindows()