{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "59000250",
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   "source": [
    "import cv2\n",
    "\n",
    "# Use a valid cascade file path\n",
    "face_cap = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')\n",
    "\n",
    "video = cv2.VideoCapture(0)\n",
    "\n",
    "while True:\n",
    "    ret, frame = video.read()\n",
    "    if not ret:\n",
    "        break\n",
    "\n",
    "    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "    faces = face_cap.detectMultiScale(\n",
    "        gray_frame,\n",
    "        scaleFactor=1.1,\n",
    "        minNeighbors=5,\n",
    "        minSize=(30, 30),\n",
    "        flags=cv2.CASCADE_SCALE_IMAGE\n",
    "    )\n",
    "\n",
    "    for (x, y, w, h) in faces:\n",
    "        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)\n",
    "\n",
    "    cv2.imshow(\"Real-Time Face Detection\", frame)\n",
    "\n",
    "    if cv2.waitKey(1) & 0xFF == ord('t'):\n",
    "        break\n",
    "\n",
    "video.release()\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fa0d65f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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