import cv2 import mediapipe as mp import numpy as np import math, time from pythonosc import udp_client # ------------------------------- # SETTINGS # ------------------------------- TOUCH_CAM_INDEX = 1 # deine Touch-Kamera GESTURE_CAM_INDEX = 0 # deine Clap / Gesture Kamera GAME_SCREEN_WIDTH = 900 # muss zu deinem Pygame-Fenster passen! GAME_SCREEN_HEIGHT = 600 client = udp_client.SimpleUDPClient("127.0.0.1", 5005) # ------------------------------- # MAIN FUNCTION # ------------------------------- def run_gesture_input(): mp_hands = mp.solutions.hands mp_draw = mp.solutions.drawing_utils hands_touch = mp_hands.Hands(max_num_hands=1, min_detection_confidence=0.6) hands_gesture = mp_hands.Hands(max_num_hands=2, min_detection_confidence=0.6) # Kameras öffnen cam_touch = cv2.VideoCapture(TOUCH_CAM_INDEX) cam_gesture = cv2.VideoCapture(GESTURE_CAM_INDEX) if not cam_touch.isOpened(): print("❌ Touch-Kamera konnte NICHT geöffnet werden!") else: print(f"✅ Touch-Kamera geöffnet (Index {TOUCH_CAM_INDEX})") if not cam_gesture.isOpened(): print("❌ Gesture-Kamera konnte NICHT geöffnet werden!") else: print(f"✅ Gesture-Kamera geöffnet (Index {GESTURE_CAM_INDEX})") prev_clap_time = 0 clap_cooldown = 1.5 while True: ok1, frame_touch = cam_touch.read() ok2, frame_gest = cam_gesture.read() if not ok1 or not ok2: print("⚠️ Eine Kamera liefert kein Bild.") break frame_touch = cv2.flip(frame_touch, 1) frame_gest = cv2.flip(frame_gest, 1) # --------------------------------------- # TOUCH (Zeigefinger) ohne Kalibrierung # --------------------------------------- rgb_t = cv2.cvtColor(frame_touch, cv2.COLOR_BGR2RGB) res_t = hands_touch.process(rgb_t) th, tw, _ = frame_touch.shape if res_t.multi_hand_landmarks: lm = res_t.multi_hand_landmarks[0] mp_draw.draw_landmarks(frame_touch, lm, mp_hands.HAND_CONNECTIONS) fx = int(lm.landmark[8].x * tw) fy = int(lm.landmark[8].y * th) # einfache Skalierung auf dein Spiel-Fenster sx = int(fx * (GAME_SCREEN_WIDTH / tw)) sy = int(fy * (GAME_SCREEN_HEIGHT / th)) # Finger unten? (Touch) if lm.landmark[8].y > 0.8: client.send_message("/touch", [sx, sy]) cv2.putText(frame_touch, f"Touch {sx},{sy}", (40, 60), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2) # --------------------------------------- # CLAP (zwei Hände) # --------------------------------------- rgb_g = cv2.cvtColor(frame_gest, cv2.COLOR_BGR2RGB) res_g = hands_gesture.process(rgb_g) gh, gw, _ = frame_gest.shape if res_g.multi_hand_landmarks and len(res_g.multi_hand_landmarks) == 2: h1, h2 = res_g.multi_hand_landmarks x1 = np.mean([p.x for p in h1.landmark]) * gw y1 = np.mean([p.y for p in h1.landmark]) * gh x2 = np.mean([p.x for p in h2.landmark]) * gw y2 = np.mean([p.y for p in h2.landmark]) * gh dist = math.hypot(x2 - x1, y2 - y1) if dist < 100 and (time.time() - prev_clap_time) > clap_cooldown: prev_clap_time = time.time() client.send_message("/clap", 1) cv2.putText(frame_gest, "👏", (int(gw/2)-20, 80), cv2.FONT_HERSHEY_SIMPLEX, 2, (0, 255, 255), 3) cv2.imshow("Touch-Cam", frame_touch) cv2.imshow("Gesture-Cam", frame_gest) if cv2.waitKey(5) & 0xFF == 27: break cam_touch.release() cam_gesture.release() cv2.destroyAllWindows() if __name__ == "__main__": run_gesture_input()