OXIESEC PANEL

Name	Size	Modified	Perms
📁 ..	-	10/28/2024 10:38:34 AM	rwxr-xr-x
📄 .DS_Store	6 KB	10/24/2024 01:40:28 PM	rw-r--r--
📁 .ipynb_checkpoints	-	10/24/2024 01:40:37 PM	rwxr-xr-x
📁 .venv	-	10/24/2024 01:40:53 PM	rwxr-xr-x
📄 app.py	1008 bytes	10/24/2024 01:40:28 PM	rw-r--r--
📄 crop.py	1.5 KB	10/24/2024 01:40:28 PM	rw-r--r--
📄 crop.py.zip	913 bytes	10/24/2024 01:40:28 PM	rw-r--r--
📁 faces	-	10/24/2024 01:40:52 PM	rwxr-xr-x
📄 faces.sh	98 bytes	10/24/2024 01:40:29 PM	rw-r--r--
📄 faces_detected.jpg	177.95 KB	10/24/2024 01:40:29 PM	rw-r--r--
📁 img	-	10/24/2024 01:40:42 PM	rwxr-xr-x
📄 index.html	1.12 KB	10/24/2024 01:40:29 PM	rw-r--r--
📄 people_with_phones.png	88.37 KB	10/24/2024 01:40:29 PM	rw-r--r--
📄 people_with_phones_faces.jpg	8.57 KB	10/24/2024 01:40:30 PM	rw-r--r--
📄 requirements.txt	33 bytes	10/24/2024 01:40:30 PM	rw-r--r--
📄 straighten.py	1.38 KB	10/24/2024 01:40:30 PM	rw-r--r--
📄 test105105_faces.jpg	3.7 KB	10/24/2024 01:40:30 PM	rw-r--r--
📄 test116116_faces.jpg	5.22 KB	10/24/2024 01:40:31 PM	rw-r--r--
📄 test123123_faces.jpg	5.5 KB	10/24/2024 01:40:31 PM	rw-r--r--
📄 test137137_faces.jpg	7 KB	10/24/2024 01:40:31 PM	rw-r--r--
📄 test151151_faces.jpg	11.26 KB	10/24/2024 01:40:31 PM	rw-r--r--
📄 test196196_faces.jpg	9.02 KB	10/24/2024 01:40:32 PM	rw-r--r--
📄 test460460_faces.jpg	79.38 KB	10/24/2024 01:40:32 PM	rw-r--r--
📄 test462462_faces.jpg	76.62 KB	10/24/2024 01:40:32 PM	rw-r--r--
📄 test467467_faces.jpg	82.66 KB	10/24/2024 01:40:33 PM	rw-r--r--
📄 test470470_faces.jpg	83.53 KB	10/24/2024 01:40:33 PM	rw-r--r--
📄 test477477_faces.jpg	77.63 KB	10/24/2024 01:40:33 PM	rw-r--r--
📄 test483483_faces.jpg	81.52 KB	10/24/2024 01:40:33 PM	rw-r--r--
📄 test7777_faces.jpg	2.69 KB	10/24/2024 01:40:34 PM	rw-r--r--
📄 test8282_faces.jpg	4.3 KB	10/24/2024 01:40:34 PM	rw-r--r--
📄 test9999_faces.jpg	5.18 KB	10/24/2024 01:40:34 PM	rw-r--r--
📄 test_faces_detected.jpg	2.98 MB	10/24/2024 01:40:36 PM	rw-r--r--
📄 testing.ipynb	6.74 KB	10/24/2024 01:40:34 PM	rw-r--r--

Editing: testing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f41971b1-687d-417d-b87f-120ed419d09f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0e0c92e9-f781-47e8-960e-2f8a2ddc5778",
   "metadata": {},
   "outputs": [],
   "source": [
    "# imagePath = sys.argv[1]\n",
    "\n",
    "# imagePath = 'C:/xampp/htdocs/hps/faces/people_with_phones.png'\n",
    "imagePath = 'C:/xampp/htdocs/hps/test.jpg'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d9d1a188-75b0-4d03-b2e5-11c4dd860c92",
   "metadata": {},
   "outputs": [],
   "source": [
    "image = cv2.imread(imagePath)\n",
    "gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d29203a4-651b-4402-a1f6-d27ce8712a4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "image = cv2.imread(imagePath)\n",
    "if image is None:\n",
    "    print(\"Failed to load image. Check the file path and format.\")\n",
    "else:\n",
    "    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3dabae03-f3d5-4443-9d5a-1bd5c8da4e80",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 12 Faces!\n"
     ]
    }
   ],
   "source": [
    "faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + \"haarcascade_frontalface_default.xml\")\n",
    "faces = faceCascade.detectMultiScale(\n",
    "        gray,\n",
    "        scaleFactor=1.3,\n",
    "        minNeighbors=3,\n",
    "        minSize=(30, 30)\n",
    ") \n",
    "\n",
    "print(\"Found {0} Faces!\".format(len(faces)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "45a65f8b-71a1-46a6-a1e1-0b64a24ad749",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[3704 2056  196  196]\n",
      " [3700  451  123  123]\n",
      " [3715  495  137  137]\n",
      " [2863  583  483  483]\n",
      " [1949  716  460  460]\n",
      " [2309  797  467  467]\n",
      " [1129  830  462  462]\n",
      " [3373  841  477  477]\n",
      " [4389 2382  105  105]\n",
      " [1427 1073  470  470]\n",
      " [4049 1023  116  116]\n",
      " [4379 1589   77   77]]\n"
     ]
    }
   ],
   "source": [
    "print(faces)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5dc8cf14-cfbc-4f2c-81db-b52201898e66",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n",
      "[INFO] Object found. Saving locally.\n"
     ]
    }
   ],
   "source": [
    "for (x, y, w, h) in faces:\n",
    "    cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)\n",
    "    roi_color = image[y:y + h, x:x + w] \n",
    "    print(\"[INFO] Object found. Saving locally.\") \n",
    "    cv2.imwrite('test' + str(w) + str(h) + '_faces.jpg', roi_color) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "73170c3a-81a6-42c2-8b77-7ee62c336ea9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[201, 191, 184],\n",
       "        [201, 191, 184],\n",
       "        [199, 190, 181],\n",
       "        ...,\n",
       "        [156, 141, 125],\n",
       "        [156, 141, 125],\n",
       "        [156, 142, 124]],\n",
       "\n",
       "       [[202, 192, 185],\n",
       "        [201, 191, 184],\n",
       "        [200, 191, 182],\n",
       "        ...,\n",
       "        [156, 141, 125],\n",
       "        [156, 141, 125],\n",
       "        [156, 142, 124]],\n",
       "\n",
       "       [[202, 192, 185],\n",
       "        [201, 191, 184],\n",
       "        [200, 191, 182],\n",
       "        ...,\n",
       "        [156, 141, 125],\n",
       "        [156, 141, 125],\n",
       "        [156, 142, 124]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[110,  99,  85],\n",
       "        [110,  99,  85],\n",
       "        [110,  99,  85],\n",
       "        ...,\n",
       "        [112, 101,  93],\n",
       "        [111, 100,  92],\n",
       "        [111, 100,  92]],\n",
       "\n",
       "       [[109,  98,  84],\n",
       "        [109,  98,  84],\n",
       "        [109,  98,  84],\n",
       "        ...,\n",
       "        [112, 101,  93],\n",
       "        [112, 101,  93],\n",
       "        [111, 100,  92]],\n",
       "\n",
       "       [[113, 102,  88],\n",
       "        [113, 102,  88],\n",
       "        [113, 102,  88],\n",
       "        ...,\n",
       "        [108,  97,  89],\n",
       "        [106,  95,  87],\n",
       "        [105,  94,  86]]], dtype=uint8)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b16b4394-12df-4a52-a26f-9ccf5f1ef807",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Image faces_detected.jpg written to filesystem:  True\n"
     ]
    }
   ],
   "source": [
    "for (x, y, w, h) in faces:\n",
    "    # Draw a green rectangle around the detected face\n",
    "    cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)\n",
    "\n",
    "# Save the image with the green rectangles drawn\n",
    "status = cv2.imwrite('test_faces_detected.jpg', image)\n",
    "print(\"[INFO] Image faces_detected.jpg written to filesystem: \", status)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "59eb1720-0095-471b-9d53-32f7d0851476",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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