from flask import Flask, render_template, Response, request, redirect import cv2 import datetime import json from gestures_debug import detect_hand_gesture app = Flask(__name__) def gen_frames(): cam = cv2.VideoCapture(0) cam.set(cv2.CAP_PROP_FRAME_WIDTH, 320) cam.set(cv2.CAP_PROP_FRAME_HEIGHT, 240) if not cam.isOpened(): print("[WARNUNG] Kamera konnte nicht geöffnet werden.") return try: while True: success, frame = cam.read() if not success: break # Flip horizontal für Spiegelbild frame = cv2.flip(frame, 1) # Geste erkennen gesture, roi = detect_hand_gesture(frame) if isinstance(roi, tuple) and len(roi) == 4: x, y, w, h = roi cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2) cv2.putText(frame, gesture, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2) # Frame in JPEG konvertieren ret, buffer = cv2.imencode('.jpg', frame) frame_bytes = buffer.tobytes() # MJPEG-Stream liefern yield (b'--frame\r\n' b'Content-Type: image/jpeg\r\n\r\n' + frame_bytes + b'\r\n') finally: cam.release() print("[info] Kamera wurde sauber freigegeben.") @app.route('/') def index(): return render_template('index.html') @app.route('/video_feed') def video_feed(): return Response(gen_frames(), mimetype='multipart/x-mixed-replace; boundary=frame') @app.route('/log_answer', methods=['POST']) def log_answer(): data = { "timestamp": datetime.datetime.now().isoformat(), "antwort": request.form.get("antwort", ""), "mood": request.form.get("mood", ""), "gesture": request.form.get("gesture", "") } with open("snake_log.jsonl", "a") as f: f.write(json.dumps(data) + "\n") return redirect("/") if __name__ == '__main__': print("[SnakeCam] Initialisierung beginnt...") print("[SnakeCam] Imports erfolgreich.") print("[SnakeCam] Starte Flask Webserver ...") app.run(host='0.0.0.0', port=5000)