person_distance measurement_final_100.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 128
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 43986,
     "status": "ok",
     "timestamp": 1593377849423,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "6OeMQj5lc3tE",
    "outputId": "6b5448c7-735f-41dd-a310-b773e4e260f7"
   },
   "outputs": [],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 6985,
     "status": "ok",
     "timestamp": 1593378480076,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "k2Y4C2-mQfLZ"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "from math import sqrt\n",
    "from helper_functions import *\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## rectangle\n",
    "530 289\n",
    "657 338\n",
    "592 412\n",
    "442 348\n",
    "\n",
    "\n",
    "## he,vr pt\n",
    "568 374\n",
    "585 387\n",
    "602 378\n",
    "\n",
    "## machine centroid\n",
    "508 343"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### harrcascade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## person+centroid + distance measurement-- without birdeyeview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[577 154  45  91]\n",
      " [186 147  42  84]\n",
      " [610 170  37  74]]\n",
      "distance is  0\n",
      "distance is  19\n",
      "distance is  5\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import math\n",
    "\n",
    "\n",
    "face_cascade=cv2.CascadeClassifier('haarcascade_fullbody.xml')\n",
    "frame=cv2.imread('walk_final.png')\n",
    "\n",
    "gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "faces = face_cascade.detectMultiScale(gray, 1.1, 4)\n",
    "print(faces)\n",
    "\n",
    "\n",
    "\n",
    "p1 = 508  # image point\n",
    "p2 = 343\n",
    "cv2.circle(frame, (p1, p2), 5, ((139,0,0)), -1)\n",
    "for face in faces:\n",
    "    (x, y, w, h) = face\n",
    "    (x1, y1, w1, h1) = faces[0]\n",
    "\n",
    "\n",
    "    cx1, cy1 = int(x + w / 2), int(y + h / 2)\n",
    "    cx2, cy2 = int(x1 + w1 / 2), int(y1 + h1 / 2)\n",
    "\n",
    "    cv2.circle(frame, (cx1, cy1), 2, (0, 245, 30), -1)\n",
    "    cv2.circle(frame, (cx2, cy2), 2, (0, 245, 30), -1)\n",
    "\n",
    "    # dist=math.sqrt(((cx1-cx2)**2)+(cy2-cy1)**2))\n",
    "    cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "    dis = (math.sqrt(((cx2 - cx1) ** 2) + ((cy2 - cy1) ** 2)) ** 0.5)\n",
    "    dis = int(dis)\n",
    "    print(\"distance is \",dis)\n",
    "    cv2.line(frame, (cx1, cy1), (p1,p2 ), (0, 234, 76), 2)\n",
    "\n",
    "    (x,y,w,h)=face\n",
    "    cv2.putText(frame, 'distance={}'.format(dis), (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.6, (139, 0, 0))\n",
    "\n",
    "\n",
    "'''        \n",
    "for (x, y, w, h) in faces:\n",
    "    cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "    print(w)\n",
    "    print(h)\n",
    "    # put text and highlight the center\n",
    "#x=xmin y=ymax\n",
    "    cX = int(x+(w/2.0))\n",
    "    cY = int(y +(h/ 2.0))\n",
    "    # put text and highlight the center\n",
    "\n",
    "    cv2.circle(frame, (cX, cY), 10, (205, 0, 255), -1)\n",
    "'''\n",
    "\n",
    "cv2.imshow('img',frame)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  person + centroid  detection-video"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import math\n",
    "\n",
    "face_cascade=cv2.CascadeClassifier('haarcascade_fullbody.xml')\n",
    "\n",
    "\n",
    "\n",
    "cap=cv2.VideoCapture('walking.avi')\n",
    "fourcc = cv2.VideoWriter_fourcc(*'XVID')\n",
    "out = cv2.VideoWriter('output12345.avi',fourcc, 20.0, (640,480))\n",
    "\n",
    "\n",
    "\n",
    "#gray = cv2.cvtColor(cap, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "\n",
    "while cap.isOpened():\n",
    "\n",
    "\n",
    "    ret,frame=cap.read()\n",
    "\n",
    "    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "    faces = face_cascade.detectMultiScale(gray, 1.1, 4)\n",
    "    print(faces)\n",
    "\n",
    "    for face in faces:\n",
    "        (x, y, w, h) = face\n",
    "        (x1, y1, w1, h1) = faces[0]\n",
    "\n",
    "        cx1, cy1 = int(x + w / 2), int(y + h / 2)\n",
    "        cx2, cy2 = int(x1 + w1 / 2), int(y1 + h1 / 2)\n",
    "\n",
    "        #  cv2.circle(frame,(cx1,cy1),2,(0,245,30),-1)\n",
    "        # cv2.circle(frame, (cx2, cy2), 2, (0, 245, 30), -1)\n",
    "\n",
    "        # dist=math.sqrt(((cx1-cx2)**2)+(cy2-cy1)**2))\n",
    "        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "        dis = (math.sqrt(((cx2 - cx1) ** 2) + ((cy2 - cy1) ** 2)) ** 0.5)\n",
    "        dis = int(dis)\n",
    "        print(dis)\n",
    "        cv2.line(frame, (cx1, cy1), (cx2, cy2), (0, 234, 76), 5)\n",
    "        cv2.putText(frame, 'distance={}'.format(dis), (10, 10), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 76))\n",
    "            \n",
    "            \n",
    "        out.write(frame)   \n",
    "    '''        \n",
    "    for (x, y, w, h) in faces:\n",
    "        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "        print(w)\n",
    "        print(h)\n",
    "        # put text and highlight the center\n",
    "    #x=xmin y=ymax\n",
    "        cX = int(x+(w/2.0))\n",
    "        cY = int(y +(h/ 2.0))\n",
    "        # put text and highlight the center\n",
    "\n",
    "        cv2.circle(frame, (cX, cY), 10, (205, 0, 255), -1)\n",
    "    '''\n",
    "    cv2.imshow('frame',frame)\n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        break\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "cap.release()\n",
    "out.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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      "H:\\anaconda\\lib\\site-packages\\ipykernel_launcher.py:22: RuntimeWarning: divide by zero encountered in true_divide\n",
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     ]
    }
   ],
   "source": [
    "####### video save & b&w \n",
    "\n",
    "import numpy as np\n",
    "import cv2\n",
    "import time\n",
    "\n",
    "cap = cv2.VideoCapture('walking.avi')\n",
    "\n",
    "start = time.time()\n",
    "\n",
    "while(cap.isOpened()):\n",
    "    ret, frame = cap.read()\n",
    "    \n",
    "    start = time.time()\n",
    "   # gray = cv2.cvtColor(frame, cv2.C/OLOR_BGR2GRAY)\n",
    "    \n",
    "    end = time.time()\n",
    "    seconds = end - start\n",
    "    print (\"Time taken : {0} seconds\".format(seconds))\n",
    "    \n",
    "    \n",
    "    fps  = frame / seconds\n",
    "    fps_text=\"FPS\".format(fps)\n",
    "    \n",
    "    cv2.putText(frame,fps_text, (5, 30), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255),1)\n",
    "\n",
    "    \n",
    "    cv2.imshow('frame',frame)\n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        break\n",
    "\n",
    "cap.release()\n",
    "\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#fps\n",
    "\n",
    "\n",
    "start = time.time()\n",
    "31\n",
    " \n",
    "32\n",
    "    # Grab a few frames\n",
    "33\n",
    "    for i in range(0, num_frames) :\n",
    "34\n",
    "        ret, frame = video.read()\n",
    "35\n",
    " \n",
    "36\n",
    "    # End time\n",
    "37\n",
    "    end = time.time()\n",
    "38\n",
    " \n",
    "39\n",
    "    # Time elapsed\n",
    "40\n",
    "    seconds = end - start\n",
    "41\n",
    "    print (\"Time taken : {0} seconds\".format(seconds))\n",
    "42\n",
    " \n",
    "43\n",
    "    # Calculate frames per second\n",
    "44\n",
    "    fps  = num_frames / seconds\n",
    "45\n",
    "    print(\"Estimated frames per second : {0}\".format(fps))\n",
    "46\n",
    " \n",
    "47\n",
    "    # Release video\n",
    "48\n",
    "    video.release()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## video saving\n",
    "\n",
    "import numpy as np\n",
    "import cv2\n",
    "\n",
    "cap = cv2.VideoCapture(0)\n",
    "\n",
    "fps_start_time=datetime.datetime.now()\n",
    "fps=0\n",
    "total_frames=0\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# Define the codec and create VideoWriter object\n",
    "fourcc = cv2.VideoWriter_fourcc(*'XVID')\n",
    "out = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480))\n",
    "\n",
    "while(cap.isOpened()):\n",
    "    ret, frame = cap.read()\n",
    "    if ret==True:\n",
    "        frame = cv2.flip(frame,0)\n",
    "        \n",
    "        total_frames=total_frames+1\n",
    "\n",
    "        fps_end_time=datetime.datetime.now()\n",
    "        time_diff=fps_start_time-fps_end_time\n",
    "\n",
    "        if time_diff.seconds==0:\n",
    "\n",
    "            fps=0.0\n",
    "        else:\n",
    "\n",
    "            fps=(total_frames/time_diff.seconds)\n",
    "\n",
    "\n",
    "        fps_text=\"FPS:{:.2f}\".format(fps)\n",
    "        cv2.putText(frame,fps_text, (5, 30), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255),1)\n",
    "        \n",
    "        \n",
    "        \n",
    "\n",
    "        # write the flipped frame\n",
    "        out.write(frame)\n",
    "\n",
    "        cv2.imshow('frame',frame)\n",
    "        if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "            break\n",
    "    else:\n",
    "        break\n",
    "\n",
    "# Release everything if job is finished\n",
    "cap.release()\n",
    "out.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2933,
     "status": "ok",
     "timestamp": 1593378613419,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "_niN4lz_NDvA"
   },
   "outputs": [],
   "source": [
    "# video_path = 'data/Student_video.mp4'\n",
    "# frame_path = 'data/Student_video_frame_{}.jpg'\n",
    "\n",
    "# frame_number = [100,200,300,400,500]\n",
    "\n",
    "# video = cv2.VideoCapture(video_path)\n",
    "\n",
    "# frame_count = 0\n",
    "# while True:\n",
    "#   ret,frame = video.read()\n",
    "\n",
    "#   if not ret:\n",
    "#     break\n",
    "  \n",
    "#   frame_count+=1\n",
    "#   if frame_count in frame_number:\n",
    "#     print(\"Frame number : \",frame_count, \"Saved\")\n",
    "#     cv2.imwrite(frame_path.format(frame_count),frame)\n",
    "\n",
    "# video.release()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " # We use this mouce click events function to get 4 points in the image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "568 374\n",
      "585 387\n",
      "602 378\n"
     ]
    }
   ],
   "source": [
    "#We use this mouce click events function to get 4 points in the image\n",
    "\n",
    "\n",
    "def getting_points(event,x,y,flags,param):\n",
    "    if event == cv2.EVENT_LBUTTONDOWN:\n",
    "        cv2.circle(img,(x,y),5,(255,0,0),-1)\n",
    "        print(x,y)\n",
    "        \n",
    "        \n",
    "img = cv2.imread(\"walk_final.png\")        \n",
    "cv2.namedWindow('image')\n",
    "cv2.setMouseCallback('image',getting_points)\n",
    "\n",
    "\n",
    "while(1):\n",
    "    cv2.imshow('image',img)\n",
    "    if cv2.waitKey(20) & 0xFF == 27: #press esc for exiting the program\n",
    "        break\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# load image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "frame=cv2.imread(\"walk_final.png\")\n",
    "original_image_RGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "\n",
    "original_image_RGB_copy = original_image_RGB.copy()\n",
    "\n",
    "cv2.imshow('img',frame)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''256 91 lt\n",
    "397 134 rt\n",
    "281 272 rb\n",
    "109 183 lb'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "556 372\n",
    "697 420\n",
    "541 533\n",
    "423 419   #latest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "mouse_pts= np.float32([[530,289],\n",
    "                    [657,338],\n",
    "                    [592,412],\n",
    "                    [442,348]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "for point in mouse_pts:\n",
    "    cv2.circle(original_image_RGB_copy, tuple(point), 5, (255, 0, 0), -1)\n",
    "\n",
    "points = mouse_pts.reshape((-1,1,2)).astype(np.int32)\n",
    "cv2.polylines(original_image_RGB_copy, [points], True, (0,255,0), thickness=4)\n",
    "\n",
    "plt.figure(figsize=(12, 12))\n",
    "plt.imshow(original_image_RGB_copy)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## rectangle\n",
    "530 289\n",
    "657 338\n",
    "592 412\n",
    "442 348\n",
    "\n",
    "\n",
    "## he,vr pt\n",
    "568 374\n",
    "585 387\n",
    "602 378\n",
    "\n",
    "## machine centroid\n",
    "508 343"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# perspectiveTransform and warped_pt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "(H, W) = frame.shape[:2]\n",
    "points = mouse_pts      \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "pts_1=[[572,380],[590 ,391],[609 ,380]]\n",
    "pts=np.float32([pts_1])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "src = np.float32(np.array(points[:4]))\n",
    "dst = np.float32([[0, H], [W, H], [W, 0], [0, 0]])\n",
    "prespective_transform = cv2.getPerspectiveTransform(src, dst)\n",
    "\n",
    "#276 197\n",
    "#317 212\n",
    "#343 185\n",
    "\n",
    "pts_1=[[568,374],[585,387],[602,378]]\n",
    "pts=np.float32([pts_1])\n",
    "\n",
    "#pts = np.float32(np.array([points[3:7]]))\n",
    "warped_pt = cv2.perspectiveTransform(pts, prespective_transform)[0]\n",
    "        \n",
    "# since bird eye view has property that all points are equidistant in horizontal and vertical direction.\n",
    "# distance_w and distance_h will give us 180 cm distance in both horizontal and vertical directions\n",
    "# (how many pixels will be there in 180cm length in horizontal and vertical direction of birds eye view\n",
    "\n",
    "\n",
    "distance_w = np.sqrt((warped_pt[0][0] - warped_pt[1][0]) ** 2 + (warped_pt[0][1] - warped_pt[1][1]) ** 2)\n",
    "distance_h = np.sqrt((warped_pt[0][0] - warped_pt[2][0]) ** 2 + (warped_pt[0][1] - warped_pt[2][1]) ** 2)\n",
    "\n",
    "h_ratio=100/distance_h\n",
    "w_ratio=50/distance_w\n",
    "\n",
    "#tf.get_logger().setLevel(\"ERROR\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 9.86004247e+00,  1.47065040e+01, -9.47600217e+03],\n",
       "       [ 6.14712862e+00, -1.44073327e+01,  2.29672093e+03],\n",
       "       [-1.12039095e-03,  4.90258742e-03,  1.00000000e+00]])"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prespective_transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[568. 374.]\n",
      "  [585. 387.]\n",
      "  [602. 378.]]]\n"
     ]
    }
   ],
   "source": [
    "print(pts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[739.4616 , 182.0272 ],\n",
       "       [884.76917, 141.46808],\n",
       "       [926.60736, 253.04994]], dtype=float32)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "warped_pt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "dst_size=(1800,900)\n",
    "dst = dst * np.float32(dst_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "warped = cv2.warpPerspective(original_image_RGB_copy, prespective_transform, dst_size)\n",
    "\n",
    "plt.figure(figsize=(12, 12))\n",
    "plt.imshow(warped)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# image testing- birdeye view"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[577 154  45  91]\n",
      " [186 147  42  84]\n",
      " [610 170  37  74]]\n",
      "person_centroid [[-493.09473 2385.4275 ]]\n",
      "distance is  33\n",
      "person_centroid [[-2747.1125    499.32532]]\n",
      "distance is  31\n",
      "person_centroid [[-182.76668 2421.2378 ]]\n",
      "distance is  33\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import math\n",
    "\n",
    "\n",
    "face_cascade=cv2.CascadeClassifier('H:\\CV projects\\Basic_CV\\haarcascade_fullbody.xml')\n",
    "frame=cv2.imread('walk_final.png')\n",
    "\n",
    "gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "faces = face_cascade.detectMultiScale(gray, 1.1, 4)\n",
    "print(faces)\n",
    "\n",
    "#681. 453\n",
    "\n",
    "p1 =  508  # image pont\n",
    "p2 =  343\n",
    "\n",
    "#cv2.rectangle(frame,10,20, (255, 0, 0), 3)    \n",
    "cv2.circle(frame, (p1, p2), 5, ((139,0,0)), -1)\n",
    "for face in faces:\n",
    "    (x, y, w, h) = face\n",
    "    (x1, y1, w1, h1) = faces[0]\n",
    "\n",
    "\n",
    "    cx1, cy1 = int(x + w / 2), int(y + h / 2)\n",
    "    cx2, cy2 = int(x1 + w1 / 2), int(y1 + h1 / 2)\n",
    "\n",
    "    cv2.circle(frame, (cx1, cy1), 2, (0, 245, 30), -1)\n",
    "    cv2.circle(frame, (cx2, cy2), 2, (0, 245, 30), -1)\n",
    "\n",
    "    \n",
    "    # dist=math.sqrt(((cx1-cx2)**2)+(cy2-cy1)**2))\n",
    "    cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "    cv2.circle(frame,(pts_1[0][0],pts_1[0][1]), 4, (0, 255, 255), -1)\n",
    "    cv2.circle(frame,(pts_1[1][0],pts_1[1][1]), 4, (0, 255, 255), -1)\n",
    "    cv2.circle(frame,(pts_1[2][0],pts_1[2][1]),4 , (0, 255, 255), -1)\n",
    "\n",
    "\n",
    "    \n",
    "    person_centroid=[[cx1,cy1]]\n",
    "    person_pts=np.float32([person_centroid])\n",
    "    warped_person_centre_pt=cv2.perspectiveTransform(person_pts, prespective_transform)[0]\n",
    "\n",
    "    print('person_centroid',warped_person_centre_pt)\n",
    "\n",
    "    machine_centroid=[[p1,p2]]\n",
    "    machine_pt=np.float32([machine_centroid])\n",
    "    warped_machine_centre_pt=cv2.perspectiveTransform(machine_pt,prespective_transform)[0]\n",
    "\n",
    "\n",
    "    wrapped_x1=warped_machine_centre_pt[0][0]\n",
    "    wrapped_y1=warped_machine_centre_pt[0][1]\n",
    "    wrapped_x2=warped_person_centre_pt[0][0]\n",
    "    wrapped_y2=warped_person_centre_pt[0][1]\n",
    "\n",
    "\n",
    "    wrapped_x1=wrapped_x1*w_ratio\n",
    "    wrapped_x2=wrapped_x2*w_ratio\n",
    "    wrapped_y1=wrapped_y1*h_ratio\n",
    "    wrapped_y2=wrapped_y2*h_ratio\n",
    "    \n",
    "\n",
    "    \n",
    "    \n",
    "    dis = (math.sqrt(((wrapped_x1 -wrapped_x2 ) ** 2) + (( wrapped_y1-wrapped_y2 ) ** 2)) ** 0.5)\n",
    "    dis = int(dis)\n",
    "    print(\"distance is \",dis)\n",
    "    cv2.line(frame, (cx1, cy1), (p1,p2), (0, 234, 76), 2)\n",
    "\n",
    "    (x,y,w,h)=face\n",
    "    cv2.putText(frame, '{}CM'.format(dis), (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.4, (255,255, 0))\n",
    "\n",
    "\n",
    "'''        \n",
    "for (x, y, w, h) in faces:\n",
    "    cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "    print(w)\n",
    "    print(h)\n",
    "    # put text and highlight the center\n",
    "#x=xmin y=ymax\n",
    "    cX = int(x+(w/2.0))\n",
    "    cY = int(y +(h/ 2.0))\n",
    "    # put text and highlight the center\n",
    "\n",
    "    cv2.circle(frame, (cX, cY), 10, (205, 0, 255), -1)\n",
    "'''\n",
    "\n",
    "cv2.imshow('img',frame)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### video testing-----\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[492 147  43  87]\n",
      " [235 198  61 123]]\n",
      "person_centroid [[-1196.6738  1999.5155]]\n",
      "distance is  31\n",
      "person_centroid [[-1548.0552     98.44094]]\n",
      "distance is  24\n",
      "[[489 148  45  90]\n",
      " [165 242  34  68]]\n",
      "person_centroid [[-1164.1471  1934.431 ]]\n",
      "distance is  31\n",
      "person_centroid [[-1685.4989   -260.99234]]\n",
      "distance is  26\n",
      "[[490 149  41  83]]\n",
      "person_centroid [[-1215.4652  1981.0151]]\n",
      "distance is  31\n",
      "[[485 152  44  88]]\n",
      "person_centroid [[-1144.7494  1859.0967]]\n",
      "distance is  30\n",
      "[[481 152  46  91]\n",
      " [271 206  51 103]]\n",
      "person_centroid [[-1148.6132  1824.6875]]\n",
      "distance is  30\n",
      "person_centroid [[-1440.5518    214.47919]]\n",
      "distance is  23\n",
      "[[277 212  47  94]\n",
      " [462  95  78 156]]\n",
      "person_centroid [[-1400.9779    211.70312]]\n",
      "distance is  23\n",
      "person_centroid [[-1547.9069  2241.135 ]]\n",
      "distance is  34\n",
      "()\n",
      "[[471 154  46  92]]\n",
      "person_centroid [[-1165.9346  1718.1918]]\n",
      "distance is  29\n",
      "[[471 155  42  85]]\n",
      "person_centroid [[-1221.3401  1755.1982]]\n",
      "distance is  30\n",
      "[[508 426  32  63]\n",
      " [466 156  45  90]\n",
      " [297 202  49  99]]\n",
      "person_centroid [[ 908.847  -401.8752]]\n",
      "distance is  19\n",
      "person_centroid [[-1187.4127  1668.6572]]\n",
      "distance is  29\n",
      "person_centroid [[-1400.1766    349.40796]]\n",
      "distance is  23\n",
      "[[454 150  54 108]]\n",
      "person_centroid [[-1186.1288  1583.878 ]]\n",
      "distance is  28\n",
      "[[507 426  32  64]\n",
      " [454 157  50 100]]\n",
      "person_centroid [[ 908.611   -408.69397]]\n",
      "distance is  19\n",
      "person_centroid [[-1156.0222  1528.1599]]\n",
      "distance is  28\n",
      "[[451 161  47  95]]\n",
      "person_centroid [[-1171.1029  1487.0525]]\n",
      "distance is  28\n",
      "[[324 191  51 102]]\n",
      "person_centroid [[-1379.0018   532.1873]]\n",
      "distance is  23\n",
      "[[508 431  29  58]\n",
      " [324 182  57 115]]\n",
      "person_centroid [[ 912.21576 -420.11444]]\n",
      "distance is  19\n",
      "person_centroid [[-1401.2017   572.2919]]\n",
      "distance is  24\n",
      "[[508 430  30  59]\n",
      " [710 290  54 108]\n",
      " [326 175  61 123]\n",
      " [479 213  60 121]]\n",
      "person_centroid [[ 912.4589  -413.34946]]\n",
      "distance is  19\n",
      "person_centroid [[1531.5697 1005.5194]]\n",
      "distance is  23\n",
      "person_centroid [[-1419.1565    617.10736]]\n",
      "distance is  24\n",
      "person_centroid [[-250.1884  844.0611]]\n",
      "distance is  18\n",
      "[[508 431  29  58]]\n",
      "person_centroid [[ 912.21576 -420.11444]]\n",
      "distance is  19\n",
      "[[508 431  29  58]\n",
      " [343 190  50  99]]\n",
      "person_centroid [[ 912.21576 -420.11444]]\n",
      "distance is  19\n",
      "person_centroid [[-1325.8115   634.0244]]\n",
      "distance is  23\n",
      "[[508 430  30  59]\n",
      " [324 112  94 188]\n",
      " [343 176  56 112]]\n",
      "person_centroid [[ 912.4589  -413.34946]]\n",
      "distance is  19\n",
      "person_centroid [[-1749.0074   1009.48846]]\n",
      "distance is  27\n",
      "person_centroid [[-1397.4375    717.18604]]\n",
      "distance is  24\n",
      "[[508 430  30  59]\n",
      " [340 163  63 127]\n",
      " [442 214  58 116]]\n",
      "person_centroid [[ 912.4589  -413.34946]]\n",
      "distance is  19\n",
      "person_centroid [[-1473.8684   780.7322]]\n",
      "distance is  25\n",
      "person_centroid [[-460.60098  705.0749 ]]\n",
      "distance is  18\n",
      "[[675 266  58 117]\n",
      " [714 275  51 102]\n",
      " [348 171  56 113]\n",
      " [326  98 101 201]]\n",
      "person_centroid [[1239.3154 1087.0378]]\n",
      "distance is  23\n",
      "person_centroid [[1471.4607 1210.3538]]\n",
      "distance is  25\n",
      "person_centroid [[-1436.6403   790.7074]]\n",
      "distance is  25\n",
      "person_centroid [[-1843.7168  1132.9147]]\n",
      "distance is  28\n",
      "[[684 266  57 115]\n",
      " [344 152  69 137]]\n",
      "person_centroid [[1284.8732 1131.0833]]\n",
      "distance is  23\n",
      "person_centroid [[-1518.6598    876.53687]]\n",
      "distance is  26\n",
      "[[353 172  56 112]\n",
      " [167 243  32  64]\n",
      " [413 215  56 112]]\n",
      "person_centroid [[-1399.3812   800.6909]]\n",
      "distance is  24\n",
      "person_centroid [[-1692.4971   -252.13516]]\n",
      "distance is  26\n",
      "person_centroid [[-622.65216  601.36945]]\n",
      "distance is  18\n",
      "[[357 172  56 113]\n",
      " [387 150  90 180]]\n",
      "person_centroid [[-1379.7133   817.3988]]\n",
      "distance is  24\n",
      "person_centroid [[-996.62695  882.96704]]\n",
      "distance is  23\n",
      "[[508 427  31  62]\n",
      " [361 180  51 102]\n",
      " [394 187  69 139]]\n",
      "person_centroid [[ 908.611   -408.69397]]\n",
      "distance is  19\n",
      "person_centroid [[-1336.9338    789.05743]]\n",
      "distance is  24\n",
      "person_centroid [[-839.7688   698.05145]]\n",
      "distance is  20\n",
      "[[681 256  54 109]\n",
      " [384 163  80 161]\n",
      " [365 189  45  91]\n",
      " [400 228  40  81]]\n",
      "person_centroid [[1195.3931 1264.1368]]\n",
      "distance is  24\n",
      "person_centroid [[-1003.1351    816.95245]]\n",
      "distance is  22\n",
      "person_centroid [[-1294.8328   761.1654]]\n",
      "distance is  24\n",
      "person_centroid [[-755.93726  551.9089 ]]\n",
      "distance is  19\n",
      "[[367 190  44  89]\n",
      " [391 197  59 118]\n",
      " [670 239  64 129]]\n",
      "person_centroid [[-1285.0052   769.3459]]\n",
      "distance is  24\n",
      "person_centroid [[-879.75397  666.98737]]\n",
      "distance is  21\n",
      "person_centroid [[1119.3953 1322.3212]]\n",
      "distance is  24\n",
      "[[370 196  40  80]\n",
      " [393 211  50 101]]\n",
      "person_centroid [[-1255.6847   752.283 ]]\n",
      "distance is  23\n",
      "person_centroid [[-837.04913  610.5759 ]]\n",
      "distance is  20\n",
      "[[368 184  46  92]\n",
      " [391 214  47  94]]\n",
      "person_centroid [[-1324.7708    820.68274]]\n",
      "distance is  24\n",
      "person_centroid [[-856.7045   595.52704]]\n",
      "distance is  20\n",
      "[[620 242  61 123]\n",
      " [362 159  59 119]\n",
      " [393 221  42  85]]\n",
      "person_centroid [[ 790.50336 1096.5741 ]]\n",
      "distance is  21\n",
      "person_centroid [[-1480.7878   956.3121]]\n",
      "distance is  26\n",
      "person_centroid [[-835.9911  576.5442]]\n",
      "distance is  20\n",
      "[[508 431  29  58]\n",
      " [617 245  58 116]\n",
      " [391 215  44  89]]\n",
      "person_centroid [[ 912.21576 -420.11444]]\n",
      "distance is  19\n",
      "person_centroid [[ 766.10504 1079.8274 ]]\n",
      "distance is  21\n",
      "person_centroid [[-882.5551  610.9331]]\n",
      "distance is  20\n",
      "[[395 224  39  79]]\n",
      "person_centroid [[-835.9911  576.5442]]\n",
      "distance is  20\n",
      "[[363 157  60 121]\n",
      " [607 238  58 118]\n",
      " [401 227  33  67]]\n",
      "person_centroid [[-1484.2151   976.9662]]\n",
      "distance is  26\n",
      "person_centroid [[ 666.9439 1105.4299]]\n",
      "distance is  21\n",
      "person_centroid [[-852.3924   616.42365]]\n",
      "distance is  20\n",
      "[[602 242  56 113]\n",
      " [400 222  37  75]\n",
      " [633 241  47  95]]\n",
      "person_centroid [[ 637.1985 1068.8851]]\n",
      "distance is  20\n",
      "person_centroid [[-857.9326  629.8946]]\n",
      "distance is  20\n",
      "person_centroid [[ 732.0702 1299.9202]]\n",
      "distance is  23\n",
      "[[628 245  50 100]\n",
      " [400 218  38  77]\n",
      " [597 236  55 112]]\n",
      "person_centroid [[ 758.77045 1201.7819 ]]\n",
      "distance is  22\n",
      "person_centroid [[-884.7239  663.1263]]\n",
      "distance is  21\n",
      "person_centroid [[ 560.4628 1111.4944]]\n",
      "distance is  21\n",
      "[[620 238  50 101]\n",
      " [592 227  63 127]\n",
      " [393 183  57 115]]\n",
      "person_centroid [[ 662.5247 1250.4089]]\n",
      "distance is  22\n",
      "person_centroid [[ 540.5031 1130.2446]]\n",
      "distance is  21\n",
      "person_centroid [[-1053.0383   836.924 ]]\n",
      "distance is  23\n",
      "[[610 281  33  66]]\n",
      "person_centroid [[715.01227 881.871  ]]\n",
      "distance is  18\n",
      "[[356 150  70 141]\n",
      " [395 151  77 154]]\n",
      "person_centroid [[-1454.0079   933.0316]]\n",
      "distance is  25\n",
      "person_centroid [[-1135.2762  1025.0481]]\n",
      "distance is  24\n",
      "[[351 133  81 162]]\n",
      "person_centroid [[-1535.3257  1003.7231]]\n",
      "distance is  26\n",
      "[[564 225  56 112]]\n",
      "person_centroid [[ 287.96277 1100.9154 ]]\n",
      "distance is  20\n",
      "[[362 161  50 100]\n",
      " [343  91  98 196]]\n",
      "person_centroid [[-1597.3302   1021.77454]]\n",
      "distance is  27\n",
      "person_centroid [[-1903.5527  1333.4779]]\n",
      "distance is  30\n",
      "()\n",
      "[[425 163  53 107]\n",
      " [365 167  47  94]\n",
      " [581 225  48  96]]\n",
      "person_centroid [[-1192.3555  1259.6636]]\n",
      "distance is  26\n",
      "person_centroid [[-1550.4514    990.21063]]\n",
      "distance is  26\n",
      "person_centroid [[ 303.6302 1254.1068]]\n",
      "distance is  22\n",
      "[[712 268  53 107]\n",
      " [428 167  51 102]\n",
      " [364 165  48  97]\n",
      " [574 228  47  95]]\n",
      "person_centroid [[1443.4271 1264.28  ]]\n",
      "distance is  25\n",
      "person_centroid [[-1155.1075  1242.9786]]\n",
      "distance is  26\n",
      "person_centroid [[-1564.311  1002.178]]\n",
      "distance is  26\n",
      "person_centroid [[ 270.78036 1193.6489 ]]\n",
      "distance is  21\n",
      "[[705 261  57 115]\n",
      " [429 163  52 104]\n",
      " [363 164  51 103]]\n",
      "person_centroid [[1397.2324 1278.09  ]]\n",
      "distance is  25\n",
      "person_centroid [[-1183.5848  1292.57  ]]\n",
      "distance is  26\n",
      "person_centroid [[-1536.6755    978.31573]]\n",
      "distance is  26\n",
      "[[699 259  59 119]\n",
      " [432 169  48  97]\n",
      " [362 163  52 104]\n",
      " [567 214  49  98]]\n",
      "person_centroid [[1364.4641 1256.3531]]\n",
      "distance is  25\n",
      "person_centroid [[-1151.6766  1270.7451]]\n",
      "distance is  26\n",
      "person_centroid [[-1536.6755    978.31573]]\n",
      "distance is  26\n",
      "person_centroid [[ 134.64204 1315.454  ]]\n",
      "distance is  23\n",
      "[[694 258  56 112]\n",
      " [433 167  48  96]\n",
      " [364 168  47  94]\n",
      " [560 211  58 116]]\n",
      "person_centroid [[1306.4453 1277.6989]]\n",
      "distance is  25\n",
      "person_centroid [[-1172.5164  1302.421 ]]\n",
      "distance is  26\n",
      "person_centroid [[-1541.6979   973.8459]]\n",
      "distance is  26\n",
      "person_centroid [[ 173.37688 1230.8306 ]]\n",
      "distance is  22\n",
      "[[682 255  54 109]\n",
      " [432 160  49  97]\n",
      " [361 164  49  98]\n",
      " [513 210  53 107]\n",
      " [554 210  55 111]]\n",
      "person_centroid [[1196.7609 1280.5087]]\n",
      "distance is  24\n",
      "person_centroid [[-1273.0774  1393.8433]]\n",
      "distance is  27\n",
      "person_centroid [[-1579.3909   988.6558]]\n",
      "distance is  26\n",
      "person_centroid [[-174.20973 1080.3357 ]]\n",
      "distance is  21\n",
      "person_centroid [[  90.94926 1243.9094 ]]\n",
      "distance is  22\n",
      "[[431 159  47  95]\n",
      " [360 162  51 102]\n",
      " [509 211  53 106]]\n",
      "person_centroid [[-1312.2195  1411.8706]]\n",
      "distance is  28\n",
      "person_centroid [[-1579.3909   988.6558]]\n",
      "distance is  26\n",
      "person_centroid [[-187.8384 1051.346 ]]\n",
      "distance is  20\n",
      "[[359 163  51 102]\n",
      " [504 206  55 110]]\n",
      "person_centroid [[-1570.5214   972.2813]]\n",
      "distance is  26\n",
      "person_centroid [[-238.5793 1068.7887]]\n",
      "distance is  21\n",
      "[[358 161  53 107]\n",
      " [497 209  52 104]]\n",
      "person_centroid [[-1570.5214   972.2813]]\n",
      "distance is  26\n",
      "person_centroid [[-283.8919 1034.0955]]\n",
      "distance is  21\n",
      "[[652 239  63 126]\n",
      " [358 162  53 106]\n",
      " [535 209  50 101]\n",
      " [492 204  54 108]]\n",
      "person_centroid [[ 990.9154 1250.0013]]\n",
      "distance is  23\n",
      "person_centroid [[-1556.723    960.4734]]\n",
      "distance is  26\n",
      "person_centroid [[ -88.52786 1222.4022 ]]\n",
      "distance is  22\n",
      "person_centroid [[-335.2544 1051.4464]]\n",
      "distance is  21\n",
      "[[648 240  61 123]\n",
      " [359 166  50 101]\n",
      " [390 172  71 142]\n",
      " [484 195  62 124]\n",
      " [533 210  47  95]]\n",
      "person_centroid [[ 953.21277 1239.9769 ]]\n",
      "distance is  23\n",
      "person_centroid [[-1543.0077   948.7365]]\n",
      "distance is  26\n",
      "person_centroid [[-998.0416  821.0701]]\n",
      "distance is  22\n",
      "person_centroid [[-367.51166 1045.6599 ]]\n",
      "distance is  21\n",
      "person_centroid [[-130.87564 1228.9591 ]]\n",
      "distance is  22\n",
      "[[643 237  62 125]\n",
      " [359 168  50 101]\n",
      " [528 204  50 100]]\n",
      "person_centroid [[ 915.9312 1246.3059]]\n",
      "distance is  23\n",
      "person_centroid [[-1515.8234   925.4735]]\n",
      "distance is  26\n",
      "person_centroid [[-177.12372 1252.7799 ]]\n",
      "distance is  23\n",
      "[[508 427  31  62]\n",
      " [362 171  46  93]\n",
      " [523 205  45  90]\n",
      " [639 240  50 101]]\n",
      "person_centroid [[ 908.611   -408.69397]]\n",
      "distance is  19\n",
      "person_centroid [[-1524.3845   941.4787]]\n",
      "distance is  26\n",
      "person_centroid [[-263.55673 1266.2725 ]]\n",
      "distance is  23\n",
      "person_centroid [[ 796.24725 1311.404  ]]\n",
      "distance is  23\n",
      "[[466 174  69 138]\n",
      " [364 173  43  85]\n",
      " [518 204  49  98]\n",
      " [632 241  50 101]]\n",
      "person_centroid [[-596.0889 1146.0151]]\n",
      "distance is  23\n",
      "person_centroid [[-1551.7216    964.92474]]\n",
      "distance is  26\n",
      "person_centroid [[-251.73776 1214.5038 ]]\n",
      "distance is  22\n",
      "person_centroid [[ 758.11646 1267.5419 ]]\n",
      "distance is  23\n",
      "[[366 175  40  80]\n",
      " [469 197  54 109]\n",
      " [625 243  51 102]\n",
      " [516 208  45  91]]\n",
      "person_centroid [[-1546.7131   969.3822]]\n",
      "distance is  26\n",
      "person_centroid [[-533.8367 1032.6125]]\n",
      "distance is  21\n",
      "person_centroid [[ 733.60156 1200.5083 ]]\n",
      "distance is  22\n",
      "person_centroid [[-275.1332 1196.1649]]\n",
      "distance is  22\n",
      "[[467 201  51 102]\n",
      " [615 229  58 117]]\n",
      "person_centroid [[-545.5477 1003.7054]]\n",
      "distance is  21\n",
      "person_centroid [[ 649.4363 1258.1155]]\n",
      "distance is  23\n",
      "[[466 202  49  98]\n",
      " [619 230  50 101]]\n",
      "person_centroid [[-566.88434 1006.5508 ]]\n",
      "distance is  21\n",
      "person_centroid [[ 600.5879 1345.3418]]\n",
      "distance is  23\n",
      "[[461 195  53 106]\n",
      " [608 225  60 121]]\n",
      "person_centroid [[-614.86145 1028.2256 ]]\n",
      "distance is  22\n",
      "person_centroid [[ 597.98016 1255.6254 ]]\n",
      "distance is  22\n",
      "[[458 195  50  99]\n",
      " [601 223  60 121]\n",
      " [494 198  46  92]\n",
      " [445 164  99 198]]\n",
      "person_centroid [[-679.8541 1057.5876]]\n",
      "distance is  22\n",
      "person_centroid [[ 540.10345 1248.6326 ]]\n",
      "distance is  22\n",
      "person_centroid [[-488.54578 1211.7566 ]]\n",
      "distance is  23\n",
      "person_centroid [[-424.7523  889.6062]]\n",
      "distance is  20\n",
      "[[597 217  62 124]\n",
      " [494 206  41  83]\n",
      " [456 192  52 104]]\n",
      "person_centroid [[ 492.2552 1284.3713]]\n",
      "distance is  23\n",
      "person_centroid [[-474.2546 1160.6522]]\n",
      "distance is  22\n",
      "person_centroid [[-685.3476 1053.1606]]\n",
      "distance is  22\n",
      "[[450 183  58 116]\n",
      " [596 215  61 123]\n",
      " [491 204  42  85]]\n",
      "person_centroid [[-734.8814 1075.4911]]\n",
      "distance is  23\n",
      "person_centroid [[ 457.3209 1312.7897]]\n",
      "distance is  23\n",
      "person_centroid [[-496.11752 1163.8392 ]]\n",
      "distance is  23\n",
      "[[593 214  61 122]\n",
      " [487 198  45  91]]\n",
      "person_centroid [[ 430.91107 1311.5714 ]]\n",
      "distance is  23\n",
      "person_centroid [[-545.05426 1187.2723 ]]\n",
      "distance is  23\n",
      "[[364 177  41  82]\n",
      " [443 183  57 115]\n",
      " [591 217  55 110]\n",
      " [485 197  40  80]]\n",
      "person_centroid [[-1515.8234   925.4735]]\n",
      "distance is  26\n",
      "person_centroid [[-789.8283 1051.7563]]\n",
      "distance is  23\n",
      "person_centroid [[ 376.37704 1326.4573 ]]\n",
      "distance is  23\n",
      "person_centroid [[-633.5626 1244.5732]]\n",
      "distance is  24\n",
      "[[440 176  58 117]\n",
      " [364 176  42  84]\n",
      " [481 193  44  87]\n",
      " [588 214  56 112]]\n",
      "person_centroid [[-869.63293 1115.1023 ]]\n",
      "distance is  24\n",
      "person_centroid [[-1510.8389    929.86096]]\n",
      "distance is  26\n",
      "person_centroid [[-656.22595 1247.9784 ]]\n",
      "distance is  24\n",
      "person_centroid [[ 348.0422 1342.7129]]\n",
      "distance is  23\n",
      "[[442 186  50 101]\n",
      " [363 175  43  86]\n",
      " [479 193  44  89]\n",
      " [584 208  58 116]]\n",
      "person_centroid [[-857.2883 1081.719 ]]\n",
      "distance is  23\n",
      "person_centroid [[-1515.8234   925.4735]]\n",
      "distance is  26\n",
      "person_centroid [[-656.42957 1225.7264 ]]\n",
      "distance is  24\n",
      "person_centroid [[ 296.87585 1380.4341 ]]\n",
      "distance is  24\n",
      "[[440 182  52 104]\n",
      " [361 171  45  91]\n",
      " [582 201  60 121]]\n",
      "person_centroid [[-886.03625 1101.4481 ]]\n",
      "distance is  24\n",
      "person_centroid [[-1547.9967    944.31274]]\n",
      "distance is  26\n",
      "person_centroid [[ 248.91295 1442.0325 ]]\n",
      "distance is  24\n",
      "[[362 173  45  89]\n",
      " [440 192  44  89]\n",
      " [471 185  46  92]\n",
      " [579 204  55 111]]\n",
      "person_centroid [[-1529.3748   937.0701]]\n",
      "distance is  26\n",
      "person_centroid [[-884.43115 1059.2744 ]]\n",
      "distance is  23\n",
      "person_centroid [[-764.9905 1269.9667]]\n",
      "distance is  24\n",
      "person_centroid [[ 193.71735 1439.7552 ]]\n",
      "distance is  24\n",
      "[[508 431  30  61]\n",
      " [363 173  43  87]\n",
      " [470 184  45  90]\n",
      " [438 190  45  90]\n",
      " [575 200  59 119]]\n",
      "person_centroid [[ 920.1123 -422.6092]]\n",
      "distance is  19\n",
      "person_centroid [[-1543.0077   948.7365]]\n",
      "distance is  26\n",
      "person_centroid [[-799.9387 1286.5927]]\n",
      "distance is  25\n",
      "person_centroid [[-906.90326 1062.2881 ]]\n",
      "distance is  23\n",
      "person_centroid [[ 181.06607 1430.0127 ]]\n",
      "distance is  24\n",
      "[[363 174  44  87]\n",
      " [435 188  46  92]\n",
      " [471 192  42  83]\n",
      " [574 199  56 113]]\n",
      "person_centroid [[-1524.3845   941.4787]]\n",
      "distance is  26\n",
      "person_centroid [[-929.4486 1065.3116]]\n",
      "distance is  24\n",
      "person_centroid [[-753.1067 1234.5145]]\n",
      "distance is  24\n",
      "person_centroid [[ 133.21317 1474.5481 ]]\n",
      "distance is  25\n",
      "[[364 176  42  83]\n",
      " [470 190  43  86]\n",
      " [434 186  47  94]\n",
      " [572 195  58 116]]\n",
      "person_centroid [[-1524.3845   941.4787]]\n",
      "distance is  26\n",
      "person_centroid [[-758.7695 1229.785 ]]\n",
      "distance is  24\n",
      "person_centroid [[-946.67377 1072.8499 ]]\n",
      "distance is  24\n",
      "person_centroid [[ 108.8889 1497.186 ]]\n",
      "distance is  25\n",
      "[[428 168  55 110]\n",
      " [363 176  42  84]\n",
      " [270 162  41  83]\n",
      " [471 192  40  80]\n",
      " [567 193  57 115]]\n",
      "person_centroid [[-1079.9706  1187.7678]]\n",
      "distance is  25\n",
      "person_centroid [[-1515.8234   925.4735]]\n",
      "distance is  26\n",
      "person_centroid [[-2173.947     691.30786]]\n",
      "distance is  29\n",
      "person_centroid [[-770.37823 1242.6602 ]]\n",
      "distance is  24\n",
      "person_centroid [[  43.1998 1508.921 ]]\n",
      "distance is  25\n",
      "[[363 176  43  86]\n",
      " [429 173  52 105]\n",
      " [469 184  42  85]\n",
      " [568 195  53 106]]\n",
      "person_centroid [[-1502.3528    913.94617]]\n",
      "distance is  26\n",
      "person_centroid [[-1054.864   1162.3734]]\n",
      "distance is  25\n",
      "person_centroid [[-847.2849 1316.7195]]\n",
      "distance is  25\n",
      "person_centroid [[  18.109734 1531.9949  ]]\n",
      "distance is  25\n",
      "[[429 175  50 100]\n",
      " [235  74  95 190]\n",
      " [468 181  43  87]\n",
      " [362 174  44  89]\n",
      " [565 191  56 112]]\n",
      "person_centroid [[-1060.3069  1157.7013]]\n",
      "distance is  25\n",
      "person_centroid [[-2783.358   1054.7307]]\n",
      "distance is  33\n",
      "person_centroid [[-877.36383 1338.717  ]]\n",
      "distance is  25\n",
      "person_centroid [[-1515.8234   925.4735]]\n",
      "distance is  26\n",
      "person_centroid [[   2.2692528 1541.0825   ]]\n",
      "distance is  25\n",
      "[[250 150  51 102]\n",
      " [425 167  53 107]\n",
      " [364 178  39  79]\n",
      " [468 178  43  87]\n",
      " [563 188  53 107]\n",
      " [226  58 104 209]]\n",
      "person_centroid [[-2270.5864    650.62854]]\n",
      "distance is  29\n",
      "person_centroid [[-1140.1023  1207.332 ]]\n",
      "distance is  26\n",
      "person_centroid [[-1534.358    932.6676]]\n",
      "distance is  26\n",
      "person_centroid [[-914.49817 1379.6858 ]]\n",
      "distance is  26\n",
      "person_centroid [[ -81.60397 1606.9868 ]]\n",
      "distance is  26\n",
      "person_centroid [[-2935.3938  1127.3878]]\n",
      "distance is  33\n",
      "[[248 145  51 103]\n",
      " [426 166  52 104]\n",
      " [560 184  56 113]\n",
      " [364 176  40  81]\n",
      " [467 175  45  90]]\n",
      "person_centroid [[-2357.4868   695.4814]]\n",
      "distance is  30\n",
      "person_centroid [[-1160.5902  1238.1527]]\n",
      "distance is  26\n",
      "person_centroid [[ -97.992615 1616.4332  ]]\n",
      "distance is  26\n",
      "person_centroid [[-1543.0077   948.7365]]\n",
      "distance is  26\n",
      "person_centroid [[-927.0349 1393.517 ]]\n",
      "distance is  26\n",
      "[[249 158  46  92]\n",
      " [426 164  52 105]\n",
      " [560 187  55 110]\n",
      " [528  65 122 245]\n",
      " [468 177  43  86]\n",
      " [364 177  41  82]\n",
      " [166 243  32  65]]\n",
      "person_centroid [[-2237.8113    607.32294]]\n",
      "distance is  29\n",
      "person_centroid [[-1186.8651  1264.532 ]]\n",
      "distance is  26\n",
      "person_centroid [[ -84.502174 1582.0117  ]]\n",
      "distance is  26\n",
      "person_centroid [[-730.63904 2564.465  ]]\n",
      "distance is  34\n",
      "person_centroid [[-927.0349 1393.517 ]]\n",
      "distance is  26\n",
      "person_centroid [[-1515.8234   925.4735]]\n",
      "distance is  26\n",
      "person_centroid [[-1696.2109   -254.87015]]\n",
      "distance is  26\n",
      "[[248 162  43  87]\n",
      " [431 167  48  96]\n",
      " [556 176  59 117]\n",
      " [524  61 126 253]\n",
      " [467 176  41  82]\n",
      " [362 170  45  90]]\n",
      "person_centroid [[-2235.687    585.0956]]\n",
      "distance is  29\n",
      "person_centroid [[-1183.5848  1292.57  ]]\n",
      "distance is  26\n",
      "person_centroid [[-178.68317 1690.2498 ]]\n",
      "distance is  27\n",
      "person_centroid [[-745.0006 2550.137 ]]\n",
      "distance is  34\n",
      "person_centroid [[-976.6959 1425.3307]]\n",
      "distance is  26\n",
      "person_centroid [[-1556.723    960.4734]]\n",
      "distance is  26\n",
      "[[247 163  43  86]\n",
      " [434 169  45  90]\n",
      " [466 176  41  83]\n",
      " [361 172  45  90]\n",
      " [557 177  54 108]\n",
      " [166 243  32  65]\n",
      " [228  94  84 167]]\n",
      "person_centroid [[-2224.976    571.0119]]\n",
      "distance is  29\n",
      "person_centroid [[-1191.3698  1310.9932]]\n",
      "distance is  26\n",
      "person_centroid [[-982.46533 1420.2338 ]]\n",
      "distance is  26\n",
      "person_centroid [[-1534.358    932.6676]]\n",
      "distance is  26\n",
      "person_centroid [[-216.84294 1730.8677 ]]\n",
      "distance is  27\n",
      "person_centroid [[-1696.2109   -254.87015]]\n",
      "distance is  26\n",
      "person_centroid [[-2690.1345    898.47986]]\n",
      "distance is  32\n",
      "[[248 164  43  87]\n",
      " [432 158  51 102]\n",
      " [466 175  42  85]\n",
      " [360 170  48  95]\n",
      " [556 178  52 104]]\n",
      "person_centroid [[-2205.7273    564.93066]]\n",
      "distance is  28\n",
      "person_centroid [[-1253.6531  1384.8972]]\n",
      "distance is  27\n",
      "person_centroid [[-976.6959 1425.3307]]\n",
      "distance is  26\n",
      "person_centroid [[-1529.3748   937.0701]]\n",
      "distance is  26\n",
      "person_centroid [[-240.56584 1735.4221 ]]\n",
      "distance is  27\n",
      "[[248 159  46  92]\n",
      " [438 170  43  87]\n",
      " [466 176  41  82]\n",
      " [361 175  46  91]\n",
      " [555 178  51 104]\n",
      " [166 243  32  65]]\n",
      "person_centroid [[-2227.0408   593.0921]]\n",
      "distance is  29\n",
      "person_centroid [[-1188.0831  1339.544 ]]\n",
      "distance is  27\n",
      "person_centroid [[-982.46533 1420.2338 ]]\n",
      "distance is  26\n",
      "person_centroid [[-1488.9624   902.4873]]\n",
      "distance is  25\n",
      "person_centroid [[-253.54556 1724.4712 ]]\n",
      "distance is  27\n",
      "person_centroid [[-1696.2109   -254.87015]]\n",
      "distance is  26\n",
      "[[255  14  39  78]\n",
      " [248 152  52 105]\n",
      " [466 165  47  94]\n",
      " [443 179  37  74]\n",
      " [553 176  51 102]]\n",
      "person_centroid [[-6291.5522  3376.6548]]\n",
      "distance is  51\n",
      "person_centroid [[-2229.1257   615.3879]]\n",
      "distance is  29\n",
      "person_centroid [[-1030.2957  1507.4398]]\n",
      "distance is  27\n",
      "person_centroid [[-1137.0922  1308.6661]]\n",
      "distance is  26\n",
      "person_centroid [[-299.27032 1760.25   ]]\n",
      "distance is  28\n",
      "[[253  15  39  78]\n",
      " [255 166  44  89]\n",
      " [442 168  41  82]\n",
      " [470 166  43  86]\n",
      " [546 158  61 123]]\n",
      "person_centroid [[-6249.959   3323.7146]]\n",
      "distance is  51\n",
      "person_centroid [[-2126.812    566.5068]]\n",
      "distance is  28\n",
      "person_centroid [[-1225.5995  1410.4402]]\n",
      "distance is  27\n",
      "person_centroid [[-1058.6853  1562.4167]]\n",
      "distance is  28\n",
      "person_centroid [[-403.1959 1877.9114]]\n",
      "distance is  29\n",
      "[[457 166  42  85]\n",
      " [258 172  43  86]\n",
      " [366 179  38  76]\n",
      " [550 171  53 107]]\n",
      "person_centroid [[-1148.0657  1508.1096]]\n",
      "distance is  28\n",
      "person_centroid [[-2046.0632   524.9558]]\n",
      "distance is  27\n",
      "person_centroid [[-1524.3845   941.4787]]\n",
      "distance is  26\n",
      "person_centroid [[-345.77982 1796.6428 ]]\n",
      "distance is  28\n",
      "[[438 150  50 101]\n",
      " [256 154  54 109]\n",
      " [549 162  56 112]\n",
      " [476 172  37  75]\n",
      " [364 175  43  86]\n",
      " [166 243  32  65]]\n",
      "person_centroid [[-1347.3344  1547.0046]]\n",
      "distance is  29\n",
      "person_centroid [[-2129.9856   610.5908]]\n",
      "distance is  28\n",
      "person_centroid [[-408.31076 1900.3153 ]]\n",
      "distance is  29\n",
      "person_centroid [[-1040.9976  1578.5216]]\n",
      "distance is  28\n",
      "person_centroid [[-1510.8389    929.86096]]\n",
      "distance is  26\n",
      "person_centroid [[-1696.2109   -254.87015]]\n",
      "distance is  26\n",
      "[[478 171  36  73]\n",
      " [441 155  48  95]\n",
      " [552 168  51 103]\n",
      " [263 171  45  91]\n",
      " [363 172  45  91]]\n",
      "person_centroid [[-1056.2346  1619.727 ]]\n",
      "distance is  28\n",
      "person_centroid [[-1306.9592  1527.797 ]]\n",
      "distance is  28\n",
      "person_centroid [[-396.60373 1883.6927 ]]\n",
      "distance is  29\n",
      "person_centroid [[-2005.7427    538.42444]]\n",
      "distance is  27\n",
      "person_centroid [[-1524.3845   941.4787]]\n",
      "distance is  26\n",
      "[[478 169  37  73]\n",
      " [443 151  48  96]\n",
      " [552 164  52 105]\n",
      " [267 171  43  87]\n",
      " [364 170  45  89]]\n",
      "person_centroid [[-1083.6748  1650.5667]]\n",
      "distance is  29\n",
      "person_centroid [[-1339.0101  1583.8495]]\n",
      "distance is  29\n",
      "person_centroid [[-425.3254 1939.7974]]\n",
      "distance is  29\n",
      "person_centroid [[-2020.9419    569.90186]]\n",
      "distance is  27\n",
      "person_centroid [[-1560.5002   981.2335]]\n",
      "distance is  26\n",
      "[[479 163  38  77]\n",
      " [450 160  41  83]\n",
      " [547 139  66 132]\n",
      " [276 174  43  87]\n",
      " [365 171  46  92]]\n",
      "person_centroid [[-1127.6587  1724.8174]]\n",
      "distance is  29\n",
      "person_centroid [[-1292.657   1569.7426]]\n",
      "distance is  29\n",
      "person_centroid [[-547.7732 2146.2104]]\n",
      "distance is  31\n",
      "person_centroid [[-1938.7949   575.3705]]\n",
      "distance is  27\n",
      "person_centroid [[-1509.3728   954.7407]]\n",
      "distance is  26\n",
      "[[478 164  38  76]\n",
      " [450 155  44  88]\n",
      " [544 129  71 142]\n",
      " [233   7  46  93]\n",
      " [276 170  48  97]\n",
      " [364 165  50 101]]\n",
      "person_centroid [[-1119.5398  1703.2316]]\n",
      "distance is  29\n",
      "person_centroid [[-1310.1191  1611.2261]]\n",
      "distance is  29\n",
      "person_centroid [[-620.01044 2233.381  ]]\n",
      "distance is  32\n",
      "person_centroid [[-6343.554   3192.9524]]\n",
      "distance is  51\n",
      "person_centroid [[-1911.51     577.1869]]\n",
      "distance is  27\n",
      "person_centroid [[-1531.6464    982.79175]]\n",
      "distance is  26\n",
      "[[454 157  41  83]\n",
      " [480 166  37  75]\n",
      " [551 148  60 121]\n",
      " [366 165  50 101]\n",
      " [280 170  47  95]]\n",
      "person_centroid [[-1313.1373  1637.7682]]\n",
      "distance is  29\n",
      "person_centroid [[-1099.5012  1693.0023]]\n",
      "distance is  29\n",
      "person_centroid [[-502.89975 2097.82   ]]\n",
      "distance is  31\n",
      "person_centroid [[-1521.5671    991.76245]]\n",
      "distance is  26\n",
      "person_centroid [[-1912.045    599.0025]]\n",
      "distance is  27\n",
      "[[456 156  41  82]\n",
      " [233  16  41  83]\n",
      " [555 156  54 109]\n",
      " [365 162  52 104]\n",
      " [287 182  42  84]]\n",
      "person_centroid [[-1316.1857  1664.575 ]]\n",
      "distance is  29\n",
      "person_centroid [[-6167.883  3042.933]]\n",
      "distance is  50\n",
      "person_centroid [[-471.21814 2068.138  ]]\n",
      "distance is  30\n",
      "person_centroid [[-1535.3257  1003.7231]]\n",
      "distance is  26\n",
      "person_centroid [[-1793.8815    549.19543]]\n",
      "distance is  26\n",
      "[[488 154  40  81]\n",
      " [460 151  42  84]\n",
      " [562 154  48  97]\n",
      " [290 176  47  95]\n",
      " [368 163  51 102]]\n",
      "person_centroid [[-1167.9486  1899.0935]]\n",
      "distance is  31\n",
      "person_centroid [[-1346.5345  1757.1874]]\n",
      "distance is  30\n",
      "person_centroid [[-545.29755 2240.753  ]]\n",
      "distance is  32\n",
      "person_centroid [[-1784.8434   578.4116]]\n",
      "distance is  26\n",
      "person_centroid [[-1525.2067   1012.76276]]\n",
      "distance is  26\n",
      "[[491 157  38  77]\n",
      " [461 150  43  85]\n",
      " [562 154  50 100]\n",
      " [269  92  96 192]\n",
      " [435 103 111 221]\n",
      " [369 162  50 100]\n",
      " [292 177  47  96]]\n",
      "person_centroid [[-1140.8395  1893.9165]]\n",
      "distance is  30\n",
      "person_centroid [[-1355.781   1779.4087]]\n",
      "distance is  30\n",
      "person_centroid [[-512.51526 2209.3718 ]]\n",
      "distance is  32\n",
      "person_centroid [[-2288.857    981.0151]]\n",
      "distance is  30\n",
      "person_centroid [[-1011.2599  1498.1025]]\n",
      "distance is  27\n",
      "person_centroid [[-1547.8717  1041.567 ]]\n",
      "distance is  26\n",
      "person_centroid [[-1749.0555   566.4723]]\n",
      "distance is  26\n",
      "[[495 162  36  72]\n",
      " [564 154  50 100]\n",
      " [369 162  51 103]]\n",
      "person_centroid [[-1078.7712  1860.7706]]\n",
      "distance is  30\n",
      "person_centroid [[-498.65808 2222.239  ]]\n",
      "distance is  32\n",
      "person_centroid [[-1533.9618  1029.3925]]\n",
      "distance is  26\n",
      "[[566 152  48  97]\n",
      " [495 160  38  76]\n",
      " [369 162  51 102]\n",
      " [302 175  50 101]\n",
      " [447 108 101 201]]\n",
      "person_centroid [[-543.6025 2305.4873]]\n",
      "distance is  32\n",
      "person_centroid [[-1072.5687  1866.6724]]\n",
      "distance is  30\n",
      "person_centroid [[-1533.9618  1029.3925]]\n",
      "distance is  26\n",
      "person_centroid [[-1694.4669   613.3318]]\n",
      "distance is  26\n",
      "person_centroid [[-1036.7108  1609.893 ]]\n",
      "distance is  28\n",
      "[[570 149  47  94]\n",
      " [500 157  36  72]\n",
      " [368 160  52 105]\n",
      " [314 184  44  88]\n",
      " [411 225  35  70]]\n",
      "person_centroid [[-575.79126 2405.009  ]]\n",
      "distance is  33\n",
      "person_centroid [[-1120.2985  1977.0431]]\n",
      "distance is  31\n",
      "person_centroid [[-1547.8717  1041.567 ]]\n",
      "distance is  26\n",
      "person_centroid [[-1613.6696    618.65295]]\n",
      "distance is  25\n",
      "person_centroid [[-797.8256  658.323 ]]\n",
      "distance is  20\n",
      "[[573 150  43  86]\n",
      " [501 156  36  73]\n",
      " [474 143  43  85]\n",
      " [394 156  72 145]\n",
      " [461 116  90 179]\n",
      " [368 162  51 103]\n",
      " [166 243  32  65]\n",
      " [412 224  34  69]]\n",
      "person_centroid [[-609.6584 2473.2817]]\n",
      "distance is  34\n",
      "person_centroid [[-1128.8246  2000.9156]]\n",
      "distance is  31\n",
      "person_centroid [[-1386.1272  1977.3901]]\n",
      "distance is  32\n",
      "person_centroid [[-1151.0244  1011.6701]]\n",
      "distance is  24\n",
      "person_centroid [[-1023.555   1706.1702]]\n",
      "distance is  29\n",
      "person_centroid [[-1539.0376  1024.8408]]\n",
      "distance is  26\n",
      "person_centroid [[-1696.2109   -254.87015]]\n",
      "distance is  26\n",
      "person_centroid [[-813.66986  681.9492 ]]\n",
      "distance is  20\n",
      "[[479 147  40  80]\n",
      " [501 152  39  78]\n",
      " [572 145  49  97]\n",
      " [368 162  52 105]\n",
      " [465 117  84 168]\n",
      " [319 175  52 104]\n",
      " [167 243  32  64]\n",
      " [557  99  77 153]\n",
      " [412 225  34  68]]\n",
      "person_centroid [[-1329.9794  1966.524 ]]\n",
      "distance is  31\n",
      "person_centroid [[-1137.4266  2025.0005]]\n",
      "distance is  31\n",
      "person_centroid [[-595.30194 2487.2334 ]]\n",
      "distance is  34\n",
      "person_centroid [[-1520.1366   1017.29205]]\n",
      "distance is  26\n",
      "person_centroid [[-1073.0724  1776.1207]]\n",
      "distance is  29\n",
      "person_centroid [[-1584.7928   664.4158]]\n",
      "distance is  25\n",
      "person_centroid [[-1692.4971   -252.13516]]\n",
      "distance is  26\n",
      "person_centroid [[-869.3202 2881.6597]]\n",
      "distance is  37\n",
      "person_centroid [[-803.2203  672.0278]]\n",
      "distance is  20\n",
      "[[482 141  43  85]\n",
      " [578 146  45  89]\n",
      " [368 165  48  96]\n",
      " [328 178  53 107]\n",
      " [166 243  32  65]]\n",
      "person_centroid [[-1368.5419  2063.6997]]\n",
      "distance is  32\n",
      "person_centroid [[-608.0895 2578.9849]]\n",
      "distance is  34\n",
      "person_centroid [[-1544.1064  1020.2956]]\n",
      "distance is  26\n",
      "person_centroid [[-1491.0857    659.44135]]\n",
      "distance is  24\n",
      "person_centroid [[-1696.2109   -254.87015]]\n",
      "distance is  26\n",
      "[[579 142  47  94]\n",
      " [368 164  49  98]]\n",
      "person_centroid [[-607.55457 2615.0234 ]]\n",
      "distance is  35\n",
      "person_centroid [[-1544.1064  1020.2956]]\n",
      "distance is  26\n",
      "[[490 146  37  74]\n",
      " [582 141  45  90]\n",
      " [512 145  39  79]]\n",
      "person_centroid [[-1337.1917  2095.549 ]]\n",
      "distance is  32\n",
      "person_centroid [[-635.6452 2695.8523]]\n",
      "distance is  35\n",
      "person_centroid [[-1173.7938  2226.141 ]]\n",
      "distance is  33\n",
      "[[514 144  39  78]\n",
      " [490 134  41  82]\n",
      " [585 141  44  88]]\n",
      "person_centroid [[-1176.3871  2258.913 ]]\n",
      "distance is  33\n",
      "person_centroid [[-1456.4045  2262.225 ]]\n",
      "distance is  34\n",
      "person_centroid [[-627.80365 2740.784  ]]\n",
      "distance is  35\n",
      "[[519 147  38  77]\n",
      " [586 138  47  95]\n",
      " [492 136  43  86]]\n",
      "person_centroid [[-1112.2426  2253.106 ]]\n",
      "distance is  33\n",
      "person_centroid [[-612.84985 2755.8376 ]]\n",
      "distance is  36\n",
      "person_centroid [[-1370.3812  2203.9297]]\n",
      "distance is  33\n",
      "[[591 139  44  89]\n",
      " [521 143  38  77]]\n",
      "person_centroid [[-611.7993 2832.4875]]\n",
      "distance is  36\n",
      "person_centroid [[-1161.6903  2346.026 ]]\n",
      "distance is  34\n",
      "[[527 142  38  77]\n",
      " [596 137  41  83]\n",
      " [360 144  74 148]\n",
      " [581  87  72 145]]\n",
      "person_centroid [[-1137.335   2407.8503]]\n",
      "distance is  34\n",
      "person_centroid [[-663.38983 2975.7698 ]]\n",
      "distance is  37\n",
      "person_centroid [[-1450.488    982.9822]]\n",
      "distance is  26\n",
      "person_centroid [[-968.5651 3490.7444]]\n",
      "distance is  41\n",
      "[[532 147  34  69]\n",
      " [488  98  92 183]]\n",
      "person_centroid [[-1101.148  2408.104]]\n",
      "distance is  34\n",
      "person_centroid [[-1077.475   2150.3435]]\n",
      "distance is  32\n",
      "[[533 143  38  76]\n",
      " [598 132  46  92]\n",
      " [505 131  42  84]\n",
      " [376 139  78 156]\n",
      " [369 167  41  83]]\n",
      "person_centroid [[-1080.7534  2429.0159]]\n",
      "distance is  34\n",
      "person_centroid [[-624.65753 3016.05   ]]\n",
      "distance is  37\n",
      "person_centroid [[-1386.5302  2413.083 ]]\n",
      "distance is  34\n",
      "person_centroid [[-1371.4268  1076.6083]]\n",
      "distance is  26\n",
      "person_centroid [[-1629.8269  1067.7582]]\n",
      "distance is  27\n",
      "[[533 142  38  77]\n",
      " [606 133  41  83]\n",
      " [512 132  40  81]\n",
      " [355 146  59 119]\n",
      " [369 170  35  70]]\n",
      "person_centroid [[-1096.58    2449.8352]]\n",
      "distance is  34\n",
      "person_centroid [[-646.6035 3158.803 ]]\n",
      "distance is  38\n",
      "person_centroid [[-1363.8109  2476.6995]]\n",
      "distance is  35\n",
      "person_centroid [[-1698.5725  1081.8611]]\n",
      "distance is  27\n",
      "person_centroid [[-1688.4528  1091.2206]]\n",
      "distance is  27\n",
      "[[608 133  40  81]\n",
      " [360 164  48  97]\n",
      " [347 110  77 153]]\n",
      "person_centroid [[-646.2587 3201.8474]]\n",
      "distance is  38\n",
      "person_centroid [[-1598.3702    996.11304]]\n",
      "distance is  27\n",
      "person_centroid [[-1988.7976  1339.7909]]\n",
      "distance is  30\n",
      "[[609 130  43  87]\n",
      " [349 129  69 138]]\n",
      "person_centroid [[-630.26294 3218.8909 ]]\n",
      "distance is  39\n",
      "person_centroid [[-1808.3247  1166.5907]]\n",
      "distance is  28\n",
      "[[524 138  35  70]\n",
      " [548 137  32  65]\n",
      " [609 130  46  93]\n",
      " [353 144  61 123]\n",
      " [497  52 104 208]]\n",
      "person_centroid [[-1286.2103  2519.9746]]\n",
      "distance is  35\n",
      "person_centroid [[-1194.6307  2781.8486]]\n",
      "distance is  36\n",
      "person_centroid [[-568.1751 3157.357 ]]\n",
      "distance is  38\n",
      "person_centroid [[-1703.6216  1077.1913]]\n",
      "distance is  27\n",
      "person_centroid [[-1538.3234  2978.102 ]]\n",
      "distance is  38\n",
      "[[549 141  34  69]\n",
      " [612 129  44  88]\n",
      " [355 154  55 110]\n",
      " [503  56 104 208]\n",
      " [522 126  42  85]]\n",
      "person_centroid [[-1079.8884  2659.4883]]\n",
      "distance is  35\n",
      "person_centroid [[-598.08246 3253.1794 ]]\n",
      "distance is  39\n",
      "person_centroid [[-1650.8341  1023.2612]]\n",
      "distance is  27\n",
      "person_centroid [[-1419.7852  2927.2432]]\n",
      "distance is  38\n",
      "person_centroid [[-1358.8065  2644.8442]]\n",
      "distance is  36\n",
      "[[552 133  38  77]\n",
      " [618 130  41  83]\n",
      " [358 169  47  94]\n",
      " [167 243  32  64]]\n",
      "person_centroid [[-1110.5511  2789.1538]]\n",
      "distance is  36\n",
      "person_centroid [[-596.76294 3342.0781 ]]\n",
      "distance is  39\n",
      "person_centroid [[-1557.9541   935.4834]]\n",
      "distance is  26\n",
      "person_centroid [[-1692.4971   -252.13516]]\n",
      "distance is  26\n",
      "[[557 137  35  70]\n",
      " [621 126  42  85]\n",
      " [358 170  46  93]\n",
      " [167 243  32  64]\n",
      " [447 193  51 103]]\n",
      "person_centroid [[-1072.2236  2788.9329]]\n",
      "distance is  36\n",
      "person_centroid [[-611.3697 3461.5542]]\n",
      "distance is  40\n",
      "person_centroid [[-1557.9541   935.4834]]\n",
      "distance is  26\n",
      "person_centroid [[-1692.4971   -252.13516]]\n",
      "distance is  26\n",
      "person_centroid [[-739.8765 1009.2177]]\n",
      "distance is  22\n",
      "[[559 134  37  73]\n",
      " [357 168  49  99]\n",
      " [167 243  32  64]]\n",
      "person_centroid [[-1083.9763  2859.681 ]]\n",
      "distance is  37\n",
      "person_centroid [[-1544.3043   923.8807]]\n",
      "distance is  26\n",
      "person_centroid [[-1692.4971   -252.13516]]\n",
      "distance is  26\n",
      "[[562 134  36  73]\n",
      " [357 169  50 101]\n",
      " [167 243  32  64]]\n",
      "person_centroid [[-1062.0631  2883.382 ]]\n",
      "distance is  37\n",
      "person_centroid [[-1512.2902   905.2311]]\n",
      "distance is  26\n",
      "person_centroid [[-1692.4971   -252.13516]]\n",
      "distance is  26\n",
      "[[566 133  35  71]\n",
      " [358 169  51 102]\n",
      " [167 243  32  64]\n",
      " [632 124  39  77]\n",
      " [542 124  38  77]]\n",
      "person_centroid [[-1073.8676  2956.1917]]\n",
      "distance is  37\n",
      "person_centroid [[-1493.9288   898.1475]]\n",
      "distance is  25\n",
      "person_centroid [[-1692.4971   -252.13516]]\n",
      "distance is  26\n",
      "person_centroid [[-633.5768 3723.0913]]\n",
      "distance is  42\n",
      "person_centroid [[-1340.046   2926.4229]]\n",
      "distance is  38\n",
      "[[356 159  57 113]\n",
      " [635 123  39  78]\n",
      " [534  95  84 169]\n",
      " [478 196  51 103]]\n",
      "person_centroid [[-1556.723    960.4734]]\n",
      "distance is  26\n",
      "person_centroid [[-607.71625 3752.2537 ]]\n",
      "distance is  42\n",
      "person_centroid [[-944.76263 2644.4626 ]]\n",
      "distance is  35\n",
      "person_centroid [[-536.5447 1110.9232]]\n",
      "distance is  22\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import math\n",
    "import datetime\n",
    "import numpy\n",
    "\n",
    "\n",
    "face_cascade=cv2.CascadeClassifier('haarcascade_fullbody.xml')\n",
    "cap=cv2.VideoCapture('walking.avi')\n",
    "\n",
    "### h,w of video\n",
    "frame_width = int(cap.get(3))\n",
    "frame_height = int(cap.get(4))\n",
    "\n",
    "size = (frame_width, frame_height)\n",
    "\n",
    "\n",
    "## save video\n",
    "fourcc = cv2.VideoWriter_fourcc(*'XVID')\n",
    "out = cv2.VideoWriter('akash_final_dist.avi',fourcc, 20.0, size)\n",
    "\n",
    "#fps\n",
    "fps_start_time = datetime.datetime.now()\n",
    "fps = 0\n",
    "total_frames = 0\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "while(cap.isOpened()):\n",
    "    \n",
    "    ret,frame=cap.read()\n",
    "    \n",
    "    frame = imutils.resize(frame)\n",
    "        \n",
    "    total_frames = total_frames + 1\n",
    "    \n",
    "    fps_end_time = datetime.datetime.now()\n",
    "    time_diff = fps_end_time - fps_start_time\n",
    "    if time_diff.seconds == 0:\n",
    "        \n",
    "        fps = 0.0\n",
    "    else:\n",
    "        fps = (total_frames / time_diff.seconds)\n",
    "        \n",
    "    fps_text = \"FPS: {:.2f}\".format(fps)\n",
    "\n",
    "    cv2.putText(frame, fps_text, (5, 30), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255), 1)\n",
    "\n",
    "    \n",
    "    \n",
    "    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "    faces = face_cascade.detectMultiScale(gray, 1.1, 4)\n",
    "    print(faces)\n",
    "\n",
    "    p1 = 508 # image pont\n",
    "    p2 = 343\n",
    "    cv2.circle(frame, (p1, p2), 3, ((139,0,0)), -1)\n",
    "    for face in faces:\n",
    "        (x, y, w, h) = face\n",
    "        (x1, y1, w1, h1) = faces[0]\n",
    "        cx1, cy1 = int(x + w / 2), int(y + h / 2)\n",
    "        cx2, cy2 = int(x1 + w1 / 2), int(y1 + h1 / 2)\n",
    "\n",
    "        cv2.circle(frame, (cx1, cy1), 2, (0, 245, 30), -1)\n",
    "        cv2.circle(frame, (cx2, cy2), 2, (0, 245, 30), -1)\n",
    "\n",
    "\n",
    "            # dist=math.sqrt(((cx1-cx2)**2)+(cy2-cy1)**2))\n",
    "        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "        cv2.circle(frame,(pts_1[0][0],pts_1[0][1]), 5, (0, 255, 255), -1)\n",
    "        cv2.circle(frame,(pts_1[1][0],pts_1[1][1]), 5, (0, 255, 255), -1)\n",
    "        cv2.circle(frame,(pts_1[2][0],pts_1[2][1]), 5, (0, 255, 255), -1)\n",
    "\n",
    "        person_centroid=[[cx1,cy1]]\n",
    "        person_pts=np.float32([person_centroid])\n",
    "        warped_person_centre_pt=cv2.perspectiveTransform(person_pts, prespective_transform)[0]\n",
    "\n",
    "        print('person_centroid',warped_person_centre_pt)\n",
    "\n",
    "        machine_centroid=[[p1,p2]]\n",
    "        machine_pt=np.float32([machine_centroid])\n",
    "        warped_machine_centre_pt=cv2.perspectiveTransform(machine_pt,prespective_transform)[0]\n",
    "\n",
    "\n",
    "        wrapped_x1=warped_machine_centre_pt[0][0]\n",
    "        wrapped_y1=warped_machine_centre_pt[0][1]\n",
    "        wrapped_x2=warped_person_centre_pt[0][0]\n",
    "        wrapped_y2=warped_person_centre_pt[0][1]\n",
    "\n",
    "\n",
    "        wrapped_x1=wrapped_x1*w_ratio\n",
    "        wrapped_x2=wrapped_x2*w_ratio\n",
    "        wrapped_y1=wrapped_y1*h_ratio\n",
    "        wrapped_y2=wrapped_y2*h_ratio\n",
    "\n",
    "\n",
    "\n",
    "        dis = (math.sqrt(((wrapped_x1 -wrapped_x2 ) ** 2) + (( wrapped_y1-wrapped_y2 ) ** 2)) ** 0.5)\n",
    "        dis = int(dis)\n",
    "        print(\"distance is \",dis)\n",
    "        cv2.line(frame, (cx1, cy1), (p1,p2), (0, 234, 76), 2)\n",
    "\n",
    "        (x,y,w,h)=face\n",
    "        cv2.putText(frame, '{}CM'.format(dis), (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.6, (255,255, 0))\n",
    "\n",
    "\n",
    "\n",
    "        out.write(frame)\n",
    "\n",
    "    cv2.imshow('frame',frame)\n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        break\n",
    "    \n",
    "    \n",
    "cap.release()\n",
    "out.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import datetime\n",
    "import imutils\n",
    "\n",
    "\n",
    "def main():\n",
    "    cap = cv2.VideoCapture('walking.avi')\n",
    "\n",
    "    fps_start_time = datetime.datetime.now()\n",
    "    fps = 0\n",
    "    total_frames = 0\n",
    "\n",
    "    while True:\n",
    "        ret, frame = cap.read()\n",
    "        frame = imutils.resize(frame, width=400)\n",
    "        total_frames = total_frames + 1\n",
    "\n",
    "        fps_end_time = datetime.datetime.now()\n",
    "        time_diff = fps_end_time - fps_start_time\n",
    "        if time_diff.seconds == 0:\n",
    "            fps = 0.0\n",
    "        else:\n",
    "            fps = (total_frames / time_diff.seconds)\n",
    "\n",
    "        fps_text = \"FPS: {:.2f}\".format(fps)\n",
    "\n",
    "        cv2.putText(frame, fps_text, (5, 30), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255), 1)\n",
    "\n",
    "        cv2.imshow(\"Application\", frame)\n",
    "        key = cv2.waitKey(1)\n",
    "        if key == ord('q'):\n",
    "            break\n",
    "\n",
    "    cv2.destroyAllWindows()\n",
    "\n",
    "\n",
    "main()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## FPS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy\n",
    "import datetime\n",
    "import math\n",
    "import imutils\n",
    "\n",
    "face_cascade=cv2.CascadeClassifier('haarcascade_fullbody.xml')\n",
    "\n",
    "cap=cv2.VideoCapture('walking.avi')\n",
    "\n",
    "\n",
    "fourcc = cv2.VideoWriter_fourcc(*'XVID')\n",
    "out = cv2.VideoWriter('final_ad_output.avi',fourcc, 20.0, (640,480))\n",
    "\n",
    "\n",
    "#gray = cv2.cvtColor(cap, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "fps_start_time=datetime.datetime.now()\n",
    "fps=0\n",
    "total_frames=0\n",
    "\n",
    "\n",
    " \n",
    "while (cap.isOpened()):\n",
    "    \n",
    "    ret,frame=cap.read()\n",
    "    \n",
    "    \n",
    "    if ret == True:\n",
    "        \n",
    "        \n",
    "                \n",
    "       # frame=imutils.resize(frame,width=500)\n",
    "        total_frames=total_frames+1\n",
    "\n",
    "        fps_end_time=datetime.datetime.now()\n",
    "        time_diff=fps_start_time-fps_end_time\n",
    "\n",
    "        if time_diff.seconds==0:\n",
    "\n",
    "            fps=0.0\n",
    "        else:\n",
    "\n",
    "            fps=(total_frames/time_diff.seconds)\n",
    "\n",
    "\n",
    "        fps_text=\"FPS:{:.2f}\".format(fps)\n",
    "        cv2.putText(frame,fps_text, (5, 30), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255),1)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "        faces = face_cascade.detectMultiScale(gray, 1.1, 4)\n",
    "        print(faces)\n",
    "\n",
    "        for face in faces:\n",
    "            (x, y, w, h) = face\n",
    "            (x1, y1, w1, h1) = faces[0]\n",
    "\n",
    "            cx1, cy1 = int(x + w / 2), int(y + h / 2)\n",
    "            cx2, cy2 = int(x1 + w1 / 2), int(y1 + h1 / 2)\n",
    "\n",
    "            #  cv2.circle(frame,(cx1,cy1),2,(0,245,30),-1)\n",
    "            # cv2.circle(frame, (cx2, cy2), 2, (0, 245, 30), -1)\n",
    "\n",
    "            # dist=math.sqrt(((cx1-cx2)**2)+(cy2-cy1)**2))\n",
    "            cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "            dis = (math.sqrt(((cx2 - cx1) ** 2) + ((cy2 - cy1) ** 2)) ** 0.5)\n",
    "            dis = int(dis)\n",
    "            print(dis)\n",
    "            cv2.line(frame, (cx1, cy1), (cx2, cy2), (0, 234, 76), 5)\n",
    "            cv2.putText(frame, 'distance={}'.format(dis), (10, 10), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 76))\n",
    "          #  cv2.imshow(frame)\n",
    "           # out.write(frame)\n",
    "            out.write(frame)\n",
    "\n",
    "            cv2.imshow('frame',frame)\n",
    "            if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "                break\n",
    "        '''        \n",
    "    for (x, y, w, h) in faces:\n",
    "        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "        print(w)\n",
    "        print(h)\n",
    "        # put text and highlight the center\n",
    "    #x=xmin y=ymax\n",
    "        cX = int(x+(w/2.0))\n",
    "        cY = int(y +(h/ 2.0))\n",
    "        # put text and highlight the center\n",
    "\n",
    "        cv2.circle(frame, (cX, cY), 10, (205, 0, 255), -1)\n",
    "    '''\n",
    "\n",
    "cap.release()\n",
    "out.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "##fpn+video"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy\n",
    "import datetime\n",
    "import math\n",
    "import imutils\n",
    "\n",
    "face_cascade=cv2.CascadeClassifier('/content/drive/MyDrive/birdseye/haarcascade_fullbody.xml')\n",
    "\n",
    "cap=cv2.VideoCapture('/content/drive/MyDrive/birdseye/walking.avi')\n",
    "\n",
    "\n",
    "fourcc = cv2.VideoWriter_fourcc(*'XVID')\n",
    "out = cv2.VideoWriter('outputtttt.avi',fourcc, 20.0, (640,480))\n",
    "\n",
    "frame_width=int(cap.get(3))\n",
    "frame_height=int(cap.get(4))\n",
    "\n",
    "\n",
    "fps_start_time=datetime.datetime.now()\n",
    "fps=0\n",
    "total_frames=0\n",
    "\n",
    " \n",
    "while(cap.isOpened()):\n",
    "\n",
    "\n",
    "    ret,frame=cap.read()\n",
    "    frame=imutils.resize(frame)\n",
    "    total_frames=total_frames+1\n",
    "\n",
    "    fps_end_time=datetime.datetime.now()\n",
    "    time_diff=fps_start_time-fps_end_time\n",
    "    \n",
    "    if time_diff.seconds==0:\n",
    "        \n",
    "        \n",
    "        fps=0.0\n",
    "    else:\n",
    "        \n",
    "        fps=(total_frames/time_diff.seconds)\n",
    "\n",
    "\n",
    "    fps_text=\"FPS:{:.2f}\".format(fps)\n",
    "    cv2.putText(frame,fps_text, (5, 30), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255),1)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "    faces = face_cascade.detectMultiScale(gray, 1.1, 4)\n",
    "    print(faces)\n",
    "\n",
    "    for face in faces:\n",
    "        (x, y, w, h) = face\n",
    "        (x1, y1, w1, h1) = faces[0]\n",
    "\n",
    "        cx1, cy1 = int(x + w / 2), int(y + h / 2)\n",
    "        cx2, cy2 = int(x1 + w1 / 2), int(y1 + h1 / 2)\n",
    "\n",
    "        #  cv2.circle(frame,(cx1,cy1),2,(0,245,30),-1)\n",
    "        # cv2.circle(frame, (cx2, cy2), 2, (0, 245, 30), -1)\n",
    "\n",
    "        # dist=math.sqrt(((cx1-cx2)**2)+(cy2-cy1)**2))\n",
    "        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "        dis = (math.sqrt(((cx2 - cx1) ** 2) + ((cy2 - cy1) ** 2)) ** 0.5)\n",
    "        dis = int(dis)\n",
    "        print(dis)\n",
    "        cv2.line(frame, (cx1, cy1), (cx2, cy2), (0, 234, 76), 5)\n",
    "        cv2.putText(frame, 'distance={}'.format(dis), (10, 10), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 76))\n",
    "        \n",
    "        out.write(frame)\n",
    "        cv2_imshow(frame)\n",
    "\n",
    "    '''        \n",
    "    for (x, y, w, h) in faces:\n",
    "        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "        print(w)\n",
    "        print(h)\n",
    "        # put text and highlight the center\n",
    "    #x=xmin y=ymax\n",
    "        cX = int(x+(w/2.0))\n",
    "        cY = int(y +(h/ 2.0))\n",
    "        # put text and highlight the center\n",
    "\n",
    "        cv2.circle(frame, (cX, cY), 10, (205, 0, 255), -1)\n",
    "    '''\n",
    "    \n",
    "\n",
    "        \n",
    "\n",
    "cap.release()\n",
    "out.release()\n",
    "#cv2.destroyAllWindows()\n",
    "\n",
    "\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### all rough work"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import math\n",
    "\n",
    "\n",
    "face_cascade=cv2.CascadeClassifier('H:\\CV projects\\Basic_CV\\haarcascade_fullbody.xml')\n",
    "frame=cv2.imread('H:\\CV projects\\Basic_CV\\person.png')\n",
    "\n",
    "gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "faces = face_cascade.detectMultiScale(gray, 1.1, 4)\n",
    "print(faces)\n",
    "\n",
    "\n",
    "p1 = 361  # image pont\n",
    "p2 = 237\n",
    "cv2.circle(frame, (p1, p2), 5, ((139,0,0)), -1)\n",
    "for face in faces:\n",
    "    (x, y, w, h) = face\n",
    "    (x1, y1, w1, h1) = faces[0]\n",
    "\n",
    "\n",
    "    cx1, cy1 = int(x + w / 2), int(y + h / 2)\n",
    "    cx2, cy2 = int(x1 + w1 / 2), int(y1 + h1 / 2)\n",
    "\n",
    "    cv2.circle(frame, (cx1, cy1), 2, (0, 245, 30), -1)\n",
    "    cv2.circle(frame, (cx2, cy2), 2, (0, 245, 30), -1)\n",
    "\n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    # dist=math.sqrt(((cx1-cx2)**2)+(cy2-cy1)**2))\n",
    "    cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "    cv2.circle(frame,(pts_1[0][0],pts_1[0][1]), 5, (0, 255, 255), -1)\n",
    "    cv2.circle(frame,(pts_1[1][0],pts_1[1][1]), 5, (0, 255, 255), -1)\n",
    "    cv2.circle(frame,(pts_1[2][0],pts_1[2][1]), 5, (0, 255, 255), -1)\n",
    "\n",
    "    person_centroid=[[cx1,cy1]]\n",
    "    person_pts=np.float32([person_centroid])\n",
    "    warped_person_centre_pt=cv2.perspectiveTransform(person_pts, prespective_transform)[0]\n",
    "\n",
    "    print('person_centroid',warped_person_centre_pt)\n",
    "\n",
    "    machine_centroid=[[p1,p2]]\n",
    "    machine_pt=np.float32([machine_centroid])\n",
    "    warped_machine_centre_pt=cv2.perspectiveTransform(machine_pt,prespective_transform)[0]\n",
    "\n",
    "\n",
    "    wrapped_x1=warped_machine_centre_pt[0][0]\n",
    "    wrapped_y1=warped_machine_centre_pt[0][1]\n",
    "    wrapped_x2=warped_person_centre_pt[0][0]\n",
    "    wrapped_y2=warped_person_centre_pt[0][1]\n",
    "\n",
    "\n",
    "    wrapped_x1=wrapped_x1*w_ratio\n",
    "    wrapped_x2=wrapped_x2*w_ratio\n",
    "    wrapped_y1=wrapped_y1*h_ratio\n",
    "    wrapped_y2=wrapped_y2*h_ratio\n",
    "    \n",
    "\n",
    "    \n",
    "    \n",
    "    dis = (math.sqrt(((wrapped_x1 -wrapped_x2 ) ** 2) + (( wrapped_y1-wrapped_y2 ) ** 2)) ** 0.5)\n",
    "    dis = int(dis)\n",
    "    print(\"distance is \",dis)\n",
    "    cv2.line(frame, (cx1, cy1), (p1,p2), (0, 234, 76), 2)\n",
    "\n",
    "    (x,y,w,h)=face\n",
    "    cv2.putText(frame, '{}CM'.format(dis), (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.6, (255,255, 0))\n",
    "\n",
    "\n",
    "'''        \n",
    "for (x, y, w, h) in faces:\n",
    "    cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)\n",
    "\n",
    "    print(w)\n",
    "    print(h)\n",
    "    # put text and highlight the center\n",
    "#x=xmin y=ymax\n",
    "    cX = int(x+(w/2.0))\n",
    "    cY = int(y +(h/ 2.0))\n",
    "    # put text and highlight the center\n",
    "\n",
    "    cv2.circle(frame, (cX, cY), 10, (205, 0, 255), -1)\n",
    "'''\n",
    "\n",
    "cv2.imshow('img',frame)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "person_centroid=[[cx1,cy1]]\n",
    "person_pts=np.float32([person_centroid])\n",
    "warped_person_centre_pt=cv2.perspectiveTransform(person_pts, prespective_transform)[0]\n",
    "\n",
    "\n",
    "machine_centroid=[[p1,p2]]\n",
    "machine_pt=np.float32([machine_centroid])\n",
    "warped_machine_centre_pt=cv2.perspectiveTransform(machine_pt,prespective_transform)[0]\n",
    "\n",
    "\n",
    "wrapped_x1=warped_machine_centre_pt[0][0]\n",
    "wrapped_y1=warped_machine_centre_pt[0][1]\n",
    "wrapped_x2=warped_person_centre_pt[0][0]\n",
    "wrapped_y2=warped_person_centre_pt[0][1]\n",
    "\n",
    "\n",
    "wraped_x1=wraped_x1*w_ratio\n",
    "wraped_x2=wraped_x2*w_ratio\n",
    "wraped_y1=wraped_y1*h_ratio\n",
    "wraped_y2=wraped_y2*h_ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "distance=np.sqrt((wrapped_x1-wrapped_x2)**2)+(wrapped_y1-wrapped_y2)**2)\n",
    "frame=cv2.putText(frame, ('{}CM'.format(np.round(distance))), (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.6, (139, 0, 0))\n",
    "p1=(int(),int())\n",
    "p2=(int(),int())\n",
    "\n",
    "frame=cv2.rectangle(frame, p1,p2, (255, 0, 0), 3)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "    person_centroid=[[cx1,cy1]]\n",
    "    person_pts=np.float32([person_centroid])\n",
    "    warped_person_centre_pt=cv2.perspectiveTransform(person_pts, prespective_transform)[0]\n",
    "\n",
    "    print('person_pts',person_pts)\n",
    "    \n",
    "    machine_centroid=(p1,p2)\n",
    "    \n",
    "    \n",
    "    machine_pt=np.float32([machine_centroid])\n",
    "    warped_machine_centre_pt=cv2.perspectiveTransform(machine_pt,prespective_transform)[0]\n",
    "    print('warped_machine_centre_pt',warped_machine_centre_pt)\n",
    "\n",
    "    wrapped_x1=warped_machine_centre_pt[0][0]\n",
    "    wrapped_y1=warped_machine_centre_pt[0][1]\n",
    "    wrapped_x2=warped_person_centre_pt[0][0]\n",
    "    wrapped_y2=warped_person_centre_pt[0][1]\n",
    "\n",
    "\n",
    "    wrapped_x1=wrapped_x1*w_ratio\n",
    "    wrapped_x2=wrapped_x2*w_ratio\n",
    "    wrapped_y1=wrapped_y1*h_ratio\n",
    "    wrapped_y2=wrapped_y2*h_ratio\n",
    "\n",
    "    \n",
    "    distance=math.sqrt((wrapped_x1 - wrapped_x2)**2+(wrapped_y1-wrapped_y2)**2)\n",
    "    print(distance)\n",
    "    cv2.putText(frame, ('{}CM'.format(np.round(distance))), (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.6, (139, 0, 0\n",
    "    #cv2.rectangle(frame,p1,p2,5, (255, 0, 0), 3)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "weightsPath = \"yolov3.weights\"\n",
    "configPath = \"yolov3.cfg\"\n",
    "vid_path = \"walking.avi\"\n",
    "\n",
    "net_yl = cv2.dnn.readNetFromDarknet(configPath, weightsPath)\n",
    "ln = net_yl.getLayerNames()\n",
    "ln1 = [ln[i[0] - 1] for i in net_yl.getUnconnectedOutLayers()]\n",
    "    \n",
    "vs = cv2.VideoCapture(vid_path)\n",
    "count = 0\n",
    "\n",
    "while True:\n",
    "    (grabbed, frame) = vs.read()\n",
    "\n",
    "    if not grabbed:\n",
    "        print('here')\n",
    "        break\n",
    "            \n",
    "        (H, W) = frame.shape[:2]\n",
    "        \n",
    "        blob = cv2.dnn.blobFromImage(frame, 1 / 255.0, (416, 416), swapRB=True, crop=False)\n",
    "        net.setInput(blob)\n",
    "        layerOutputs = net.forward(ln1)\n",
    "        \n",
    "        boxes = []\n",
    "        confidences = []\n",
    "        classIDs = []   \n",
    "    \n",
    "        for output in layerOutputs:\n",
    "            for detection in output:\n",
    "                scores = detection[5:]\n",
    "                classID = np.argmax(scores)\n",
    "                confidence = scores[classID]\n",
    "                # detecting humans in frame\n",
    "                if classID == 0:\n",
    "\n",
    "                    if confidence > confid:\n",
    "\n",
    "                        box = detection[0:4] * np.array([W, H, W, H])\n",
    "                        (centerX, centerY, width, height) = box.astype(\"int\")\n",
    "\n",
    "                        x = int(centerX - (width / 2))\n",
    "                        y = int(centerY - (height / 2))\n",
    "\n",
    "                        boxes.append([x, y, int(width), int(height)])\n",
    "                        confidences.append(float(confidence))\n",
    "                        classIDs.append(classID)\n",
    "                    \n",
    "        idxs = cv2.dnn.NMSBoxes(boxes, confidences, confid, thresh)\n",
    "        font = cv2.FONT_HERSHEY_PLAIN\n",
    "        boxes1 = []\n",
    "        for i in range(len(boxes)):\n",
    "            if i in idxs:\n",
    "                boxes1.append(boxes[i])\n",
    "                x,y,w,h = boxes[i]\n",
    "        print(boxes1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "(H, W) = frame.shape[:2]\n",
    "points = mouse_pts      \n",
    "        \n",
    "# Using first 4 points or coordinates for perspective transformation. The region marked by these 4 points are \n",
    "# considered ROI. This polygon shaped ROI is then warped into a rectangle which becomes the bird eye view. \n",
    "# This bird eye view then has the property property that points are distributed uniformally horizontally and \n",
    "# vertically(scale for horizontal and vertical direction will be different). So for bird eye view points are \n",
    "# equally distributed, which was not case for normal view.\n",
    "src = np.float32(np.array(points[:4]))\n",
    "dst = np.float32([[0, H], [W, H], [W, 0], [0, 0]])\n",
    "prespective_transform = cv2.getPerspectiveTransform(src, dst)\n",
    "\n",
    "# using next 3 points for horizontal and vertical unit length(in this case 180 cm)\n",
    "pts = np.float32(np.array([points[4:7]]))\n",
    "warped_pt = cv2.perspectiveTransform(pts, prespective_transform)[0]\n",
    "        \n",
    "# since bird eye view has property that all points are equidistant in horizontal and vertical direction.\n",
    "# distance_w and distance_h will give us 180 cm distance in both horizontal and vertical directions\n",
    "# (how many pixels will be there in 180cm length in horizontal and vertical direction of birds eye view),\n",
    "# which we can use to calculate distance between two humans in transformed view or bird eye view\n",
    "distance_w = np.sqrt((warped_pt[0][0] - warped_pt[1][0]) ** 2 + (warped_pt[0][1] - warped_pt[1][1]) ** 2)\n",
    "distance_h = np.sqrt((warped_pt[0][0] - warped_pt[2][0]) ** 2 + (warped_pt[0][1] - warped_pt[2][1]) ** 2)\n",
    "pnts = np.array(points[:4], np.int32)\n",
    "cv2.polylines(frame, [pnts], True, (70, 70, 70), thickness=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "###########################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "O6Kh5doF8DLr"
   },
   "source": [
    "## Select Points for Perspective Transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8656,
     "status": "ok",
     "timestamp": 1593378693835,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "Ke8OyaOVSoMT"
   },
   "outputs": [],
   "source": [
    "# For Select Manualy \n",
    "# source_points = get_points(original_image_BGR_copy, 4, image_size=(image_width,image_height))\n",
    "\n",
    "# points for TownCenter.mp4 or TownCenter_frames and pedestrians.avi or pedestrians_frames\n",
    "# source_points = np.float32([[ 796.,  180.],\n",
    "#                             [1518.,  282.],\n",
    "#                             [1080.,  719.],\n",
    "#                             [ 128.,  480.]])\n",
    "\n",
    "# points for pedestrianWalking.mp4 or pedestrianWalking_frames\n",
    " source_points = np.float32([[361., 212.],\n",
    "                             [673., 248.],\n",
    "                             [597., 338.],\n",
    "                           [265., 286.]])\n",
    "\n",
    "# points for Student_video.mp4 or Student_video_frames\n",
    "# source_points = np.float32([[ 141.,  546.],\n",
    "#                            [ 695.,  449.],\n",
    "#                            [1014.,  519.],\n",
    "#                            [ 437.,  692.]])\n",
    "\n",
    "\n",
    "# points for MOT20_02_raw.mp4 or MOT20_02_raw_frames\n",
    "#source_points = np.float32([[142., 298.],\n",
    " #                          [784., 315.],\n",
    "  #                         [811., 371.],\n",
    "   #                        [ 82., 347.]])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 428
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 6345,
     "status": "ok",
     "timestamp": 1593378693844,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "xFq4qePi8bk3",
    "outputId": "bee40581-1584-48b7-ba8c-81ec4b57a6fb"
   },
   "outputs": [],
   "source": [
    "for point in source_points:\n",
    "    cv2.circle(original_image_RGB_copy, tuple(point), 8, (255, 0, 0), -1)\n",
    "\n",
    "points = source_points.reshape((-1,1,2)).astype(np.int32)\n",
    "cv2.polylines(original_image_RGB_copy, [points], True, (0,255,0), thickness=4)\n",
    "\n",
    "plt.figure(figsize=(12, 12))\n",
    "plt.imshow(original_image_RGB_copy)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "3kdOhWWa8RDC"
   },
   "source": [
    "## perspective transform matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 90
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 6225,
     "status": "ok",
     "timestamp": 1593378729072,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "ERrknA3o87ls",
    "outputId": "fae939ee-2f36-4d01-af8e-f71536a2c80a"
   },
   "outputs": [],
   "source": [
    "src=source_points\n",
    "\n",
    "# destination points for Towncenter.mp4 or TownCenter_frames\n",
    "# dst=np.float32([(0.1,0.5), (0.69, 0.5), (0.69,0.8), (0.1,0.8)])\n",
    "\n",
    "# destination points for  pedestrianWalking.mp4 or pedestrianWalking_frames\n",
    "# dst=np.float32([(0.49,0.5), (0.77, 0.5), (0.77,0.65), (0.49,0.65)])\n",
    "\n",
    "# destination points for  Student_video.mp4 or Student_video_frames\n",
    "# dst=np.float32([(0.1,0.8), (0.37, 0.8), (0.37,0.90), (0.1,0.90)])\n",
    "\n",
    "# destination points for  MOT20_02_raw.mp4 or MOT20_02_raw_frames\n",
    "dst=np.float32([(0.2,0.82), (0.80, 0.82), (0.80,0.87), (0.2,0.87)])\n",
    "\n",
    "dst_size=(800,1080)\n",
    "dst = dst * np.float32(dst_size)\n",
    "\n",
    "H_matrix = cv2.getPerspectiveTransform(src, dst)\n",
    "print(\"The perspective transform matrix:\")\n",
    "print(H_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "7sbfDZ9c9San"
   },
   "source": [
    "## Get warpPerspective Image (TOP View)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 704
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 10795,
     "status": "ok",
     "timestamp": 1593378736976,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "XzJ9DSgM9ETD",
    "outputId": "621ba860-0dae-4364-aead-ebb3d77d6248"
   },
   "outputs": [],
   "source": [
    "warped = cv2.warpPerspective(original_image_RGB_copy, H_matrix, dst_size)\n",
    "\n",
    "plt.figure(figsize=(12, 12))\n",
    "plt.imshow(warped)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "-IQ6H8YA93-e"
   },
   "source": [
    "## Create YOLO model with weights and set parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 11263,
     "status": "ok",
     "timestamp": 1593378755719,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "lgBjN70J92Un"
   },
   "outputs": [],
   "source": [
    "confidence_threshold = 0.2\n",
    "nms_threshold = 0.6\n",
    "\n",
    "min_distance = 60\n",
    "width = 608\n",
    "height = 608\n",
    "\n",
    "config = 'yolov3.cfg'\n",
    "weights = 'yolov3.weights'\n",
    "classes = 'coco.names'\n",
    "\n",
    "with open(classes, 'rt') as f:\n",
    "    coco_classes = f.read().strip('\\n').split('\\n')\n",
    "\n",
    "model = create_model(config, weights)\n",
    "output_layers = get_output_layers(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "VzAL7zaf-P7A"
   },
   "source": [
    "## prediction with YOLO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 7980,
     "status": "ok",
     "timestamp": 1593378767586,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "EShByS8l9dvU"
   },
   "outputs": [],
   "source": [
    "blob = blob_from_image(original_image_RGB, (width, height))\n",
    "outputs = predict(blob, model, output_layers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(outputs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "392AbEs3-XdQ"
   },
   "source": [
    "## Get Detected Person Boxes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 6850,
     "status": "ok",
     "timestamp": 1593378767592,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "qBOiqGOD-W9e"
   },
   "outputs": [],
   "source": [
    "boxes = get_image_boxes(outputs, 100, 150, coco_classes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "2QTJc0h6-zyb"
   },
   "source": [
    "## Get Points as Birds Eye View"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 6149,
     "status": "ok",
     "timestamp": 1593378767598,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "mIIHae86_BlR"
   },
   "outputs": [],
   "source": [
    "birds_eye_points = compute_point_perspective_transformation(H_matrix, boxes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "0or1yRp-_GdI"
   },
   "source": [
    "## Get Red and Green Box Cordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 6982,
     "status": "ok",
     "timestamp": 1593378770333,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "_-5Pq8z-_J0k"
   },
   "outputs": [],
   "source": [
    "green_box, red_box = get_red_green_boxes(min_distance, birds_eye_points, boxes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "pXs2RTnp_Yzg"
   },
   "source": [
    "## Generate Birds-Eye-View Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 486
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 5945,
     "status": "ok",
     "timestamp": 1593378772526,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "RB3fNtgP_ef0",
    "outputId": "9957e84b-5001-41f8-dc98-9545639b47d3"
   },
   "outputs": [],
   "source": [
    "birds_eye_view_image = get_birds_eye_view_image(green_box, red_box,eye_view_height=image_height,eye_view_width=image_width//2)\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.imshow(cv2.cvtColor(birds_eye_view_image, cv2.COLOR_RGB2BGR))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "WCi68syq_rfS"
   },
   "source": [
    "## Draw red and green boxes on detected Human"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 596
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 11391,
     "status": "ok",
     "timestamp": 1593378789421,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "AtYfFric_6BE",
    "outputId": "5688279d-1576-4d42-e919-32392db95308"
   },
   "outputs": [],
   "source": [
    "box_red_green_image = get_red_green_box_image(original_image_BGR.copy(),green_box,red_box)\n",
    "plt.figure(figsize=(20, 20))\n",
    "plt.imshow(cv2.cvtColor(box_red_green_image, cv2.COLOR_RGB2BGR))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ToLxRNtwAGRh"
   },
   "source": [
    "## Combine both image horizontally and template"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 464
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12386,
     "status": "ok",
     "timestamp": 1593378796353,
     "user": {
      "displayName": "Vatsal Parsaniya",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgzE51W_GUZ7p7e7vvuyiuD-4fVF9W7cz8suYA=s64",
      "userId": "10371228985714256553"
     },
     "user_tz": -330
    },
    "id": "S81eHLzyAf9O",
    "outputId": "e932970b-53e5-499c-ba5a-dc388d21397e"
   },
   "outputs": [],
   "source": [
    "combined_image = np.concatenate((birds_eye_view_image,box_red_green_image), axis=1)\n",
    "main_header = cv2.resize(main_header,(combined_image.shape[1],main_header.shape[0]))\n",
    "deshboard_image  = np.concatenate((main_header,combined_image), axis=0)\n",
    "plt.figure(figsize=(25, 20))\n",
    "plt.imshow(cv2.cvtColor(deshboard_image, cv2.COLOR_RGB2BGR))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "-ryWuL5NCgR0"
   },
   "source": [
    "## Social Distance On Video"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "fgmEbEvIBddr",
    "outputId": "871fac1f-6e22-40c5-dec1-0d142ba821f1"
   },
   "outputs": [],
   "source": [
    "%%time\n",
    "\n",
    "video = cv2.VideoCapture('data/MOT20-02-raw.webm')\n",
    "writer = None\n",
    "frame_number = 0\n",
    "print('%-20s%-26s%-26s%-26s' % ('Processing Frame','|Total Detected Person','|Red Markerd Person','|Green Marked Person'))\n",
    "while True:\n",
    "  \n",
    "  ret,frame = video.read()\n",
    "\n",
    "  if not ret:\n",
    "    break\n",
    "\n",
    "  image_height, image_width = frame.shape[:2]\n",
    "\n",
    "  image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n",
    "  blob = blob_from_image(image, (width, height))\n",
    "  outputs = predict(blob, model, output_layers)\n",
    "\n",
    "  boxes = get_image_boxes(outputs, image_width, image_height, coco_classes)\n",
    "  birds_eye_points = compute_point_perspective_transformation(H_matrix, boxes)\n",
    "  green_box, red_box = get_red_green_boxes(min_distance, birds_eye_points,boxes)\n",
    "  birds_eye_view_image = get_birds_eye_view_image(green_box, red_box, eye_view_height=image_height,eye_view_width=image_width//2)\n",
    "  box_red_green_image = get_red_green_box_image(frame.copy(), green_box,red_box)\n",
    "\n",
    "  combined_image = np.concatenate((birds_eye_view_image,box_red_green_image), axis=1)\n",
    "  main_header = cv2.resize(main_header,(combined_image.shape[1],main_header.shape[0]))\n",
    "  deshboard_image  = np.concatenate((main_header,combined_image), axis=0)\n",
    "\n",
    "  frame_number += 1\n",
    "  sys.stdout.write('%-20i|%-25i|%-25i|%-25i\\n' % (frame_number,len(boxes),len(red_box),len(green_box)))\n",
    "\n",
    "  # if frame_number >=20:\n",
    "  #   break\n",
    "\n",
    "  if writer is None:\n",
    "    fourcc = cv2.VideoWriter_fourcc(*\"DIVX\")\n",
    "    writer = cv2.VideoWriter('result/result_15_MOT20-02-raw_1.avi', fourcc, 15, (deshboard_image.shape[1], deshboard_image.shape[0]), True)\n",
    "\n",
    "  writer.write(deshboard_image)\n",
    "\n",
    "  del image,outputs,combined_image,deshboard_image,birds_eye_view_image\n",
    "\n",
    "print(' ')\n",
    "writer.release()\n",
    "video.release()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "-RXpfVUyKtYz"
   },
   "outputs": [],
   "source": [
    "\n"
   ]
  }
 ],
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