{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "130f679a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "447799d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[ERROR:0@95.846] global persistence.cpp:531 open Can't open file: 'Downloads/haarcascade_fullbody.xml' in read mode\n"
     ]
    }
   ],
   "source": [
    "model=cv2.CascadeClassifier(\"Downloads/haarcascade_fullbody.xml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fff2b133",
   "metadata": {},
   "outputs": [
    {
     "ename": "error",
     "evalue": "OpenCV(4.10.0) /Users/xperience/GHA-Actions-OpenCV/_work/opencv-python/opencv-python/opencv/modules/objdetect/src/cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'\n",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31merror\u001b[0m                                     Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[6], line 6\u001b[0m\n\u001b[1;32m      4\u001b[0m res, frame \u001b[38;5;241m=\u001b[39m cap\u001b[38;5;241m.\u001b[39mread()\n\u001b[1;32m      5\u001b[0m gray \u001b[38;5;241m=\u001b[39m cv2\u001b[38;5;241m.\u001b[39mcvtColor(frame,cv2\u001b[38;5;241m.\u001b[39mCOLOR_RGB2GRAY)\n\u001b[0;32m----> 6\u001b[0m faces \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mdetectMultiScale(gray,scaleFactor\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.1\u001b[39m,minNeighbors\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m8\u001b[39m)\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m (x,y,w,h) \u001b[38;5;129;01min\u001b[39;00m faces:\n\u001b[1;32m      8\u001b[0m     cv2\u001b[38;5;241m.\u001b[39mrectangle(frame,(x,y),(x\u001b[38;5;241m+\u001b[39mw,y\u001b[38;5;241m+\u001b[39mh),(\u001b[38;5;241m256\u001b[39m,\u001b[38;5;241m0\u001b[39m,\u001b[38;5;241m0\u001b[39m),\u001b[38;5;241m2\u001b[39m) \n",
      "\u001b[0;31merror\u001b[0m: OpenCV(4.10.0) /Users/xperience/GHA-Actions-OpenCV/_work/opencv-python/opencv-python/opencv/modules/objdetect/src/cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'\n"
     ]
    }
   ],
   "source": [
    "cap = cv2.VideoCapture(0)\n",
    "\n",
    "while True:\n",
    "    res, frame = cap.read()\n",
    "    gray = cv2.cvtColor(frame,cv2.COLOR_RGB2GRAY)\n",
    "    faces = model.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=8)\n",
    "    for (x,y,w,h) in faces:\n",
    "        cv2.rectangle(frame,(x,y),(x+w,y+h),(256,0,0),2) \n",
    "    cv2.imshow(\"Screen\",frame)\n",
    "    \n",
    "    if cv2.waitKey(1) == ord(\"q\"):\n",
    "            break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e563a053",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be7ab372-38ce-408b-8a45-948ecd731150",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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