import cv2, mediapipe as mp, json

mp_hands=mp.solutions.hands; mp_draw=mp.solutions.drawing_utils
hands=mp_hands.Hands(max_num_hands=1,min_detection_confidence=0.6)
cap=cv2.VideoCapture(0)
points=[]; labels=["oben-links","oben-rechts","unten-rechts","unten-links"]

print("📏 Zeige nacheinander jede Ecke (Finger runter zum Bestätigen)")

while True:
    ok,frame=cap.read()
    if not ok: break
    frame=cv2.flip(frame,1)
    rgb=cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
    res=hands.process(rgb); h,w,_=frame.shape
    if res.multi_hand_landmarks:
        lm=res.multi_hand_landmarks[0]
        mp_draw.draw_landmarks(frame,lm,mp_hands.HAND_CONNECTIONS)
        x=int(lm.landmark[8].x*w); y=int(lm.landmark[8].y*h)
        cv2.circle(frame,(x,y),10,(0,255,255),-1)
        if len(points)<4:
            cv2.putText(frame,f"Zeige {labels[len(points)]}",(40,40),
                        cv2.FONT_HERSHEY_SIMPLEX,1,(255,255,0),2)
            if lm.landmark[8].y>0.8:
                print(f"✅ {labels[len(points)]} gespeichert")
                points.append((x,y)); cv2.waitKey(1000)
    if len(points)==4:
        json.dump(points,open("calibration.json","w"))
        print("📄 calibration.json gespeichert ✅"); break
    cv2.imshow("Kalibrierung",frame)
    if cv2.waitKey(5)&0xFF==27: break
cap.release(); cv2.destroyAllWindows()