object-detection-with-YOLO.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "from darkflow.net.build import TFNet\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#To show this as svg images\n",
    "%config InlineBackend.figure_format = 'svg'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parsing cfg/tiny-yolo-voc-6c.cfg\n",
      "Loading None ...\n",
      "Finished in 0.0s\n",
      "\n",
      "Building net ...\n",
      "Source | Train? | Layer description                | Output size\n",
      "-------+--------+----------------------------------+---------------\n",
      "       |        | input                            | (?, 416, 416, 3)\n",
      " Init  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 416, 416, 16)\n",
      " Load  |  Yep!  | maxp 2x2p0_2                     | (?, 208, 208, 16)\n",
      " Init  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 208, 208, 32)\n",
      " Load  |  Yep!  | maxp 2x2p0_2                     | (?, 104, 104, 32)\n",
      " Init  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 104, 104, 64)\n",
      " Load  |  Yep!  | maxp 2x2p0_2                     | (?, 52, 52, 64)\n",
      " Init  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 52, 52, 128)\n",
      " Load  |  Yep!  | maxp 2x2p0_2                     | (?, 26, 26, 128)\n",
      " Init  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 26, 26, 256)\n",
      " Load  |  Yep!  | maxp 2x2p0_2                     | (?, 13, 13, 256)\n",
      " Init  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 13, 13, 512)\n",
      " Load  |  Yep!  | maxp 2x2p0_1                     | (?, 13, 13, 512)\n",
      " Init  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 13, 13, 1024)\n",
      " Init  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 13, 13, 1024)\n",
      " Init  |  Yep!  | conv 1x1p0_1    linear           | (?, 13, 13, 55)\n",
      "-------+--------+----------------------------------+---------------\n",
      "GPU mode with 1.0 usage\n",
      "Loading from ./ckpt/tiny-yolo-voc-6c-750\n",
      "INFO:tensorflow:Restoring parameters from ./ckpt/tiny-yolo-voc-6c-750\n",
      "Finished in 40.86121439933777s\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# define the model options and run\n",
    "\n",
    "options = {\n",
    "    'model': 'cfg/tiny-yolo-voc-6c.cfg',\n",
    "    'load': 750,                             # 750 is the step number. Can be found in the ckpt folder\n",
    "    'threshold': 0.05,                       # this number can be higher if the performance is better\n",
    "    'gpu': 1.0                               # Dont use this if you have no gpu\n",
    "}\n",
    "\n",
    "tfnet = TFNet(options)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Object Detection from Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(504, 378, 3)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read the color image and covert to RGB\n",
    "\n",
    "img = cv2.imread('images/img_2386.jpg', cv2.IMREAD_COLOR)\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "# use YOLO to predict the image\n",
    "result = tfnet.return_predict(img)\n",
    "\n",
    "img.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I have put the image below to see if it detecs accurately<br>\n",
    "<img src=\"images/img_2386.jpg\" alt=\"Smiley face\" height=\"242\" width=\"242\"><br>\n",
    "It detects ace."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'label': 'ace',\n",
       "  'confidence': 0.5337237,\n",
       "  'topleft': {'x': 115, 'y': 160},\n",
       "  'bottomright': {'x': 252, 'y': 340}}]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the label below is shown \"ace\"\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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   ],
   "source": [
    "# pull out some info from the results\n",
    "\n",
    "tl = (result[0]['topleft']['x'], result[0]['topleft']['y'])\n",
    "br = (result[0]['bottomright']['x'], result[0]['bottomright']['y'])\n",
    "label = result[0]['label']\n",
    "\n",
    "\n",
    "# add the box and label and display it\n",
    "img = cv2.rectangle(img, tl, br, (0, 255, 0), 7) # draw a ractangle onto an image\n",
    "img = cv2.putText(img, label, tl, cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 0), 2) # add laebl name\n",
    "plt.imshow(img)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now I will show how to detect object from videos and using webcam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Object Detection from Video"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "capture = cv2.VideoCapture('test2.mkv')\n",
    "colors = [tuple(255 * np.random.rand(3)) for i in range(10)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FPS 0.6\n",
      "FPS 2.8\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.8\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.4\n",
      "FPS 3.8\n",
      "FPS 3.7\n",
      "FPS 3.8\n",
      "FPS 3.7\n",
      "FPS 3.8\n",
      "FPS 3.7\n",
      "FPS 2.9\n",
      "FPS 3.8\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.6\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.8\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.8\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.7\n",
      "FPS 3.0\n",
      "FPS 3.6\n",
      "FPS 3.8\n",
      "FPS 3.8\n",
      "FPS 3.4\n",
      "FPS 3.8\n",
      "FPS 3.8\n",
      "FPS 3.8\n",
      "FPS 3.8\n",
      "FPS 3.7\n",
      "FPS 3.8\n",
      "FPS 3.8\n",
      "FPS 3.7\n",
      "FPS 3.8\n",
      "FPS 3.8\n",
      "FPS 3.8\n"
     ]
    }
   ],
   "source": [
    "while (capture.isOpened()):\n",
    "    stime = time.time()\n",
    "    ret, frame = capture.read()# ret is a boolean. True when the video is playing.\n",
    "    if ret:\n",
    "        results = tfnet.return_predict(frame)\n",
    "        for color, result in zip(colors, results):\n",
    "            tl = (result['topleft']['x'], result['topleft']['y'])\n",
    "            br = (result['bottomright']['x'], result['bottomright']['y'])\n",
    "            label = result['label']\n",
    "            frame = cv2.rectangle(frame, tl, br, color, 7)\n",
    "            frame = cv2.putText(frame, label, tl, cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 0), 2)\n",
    "        cv2.imshow('frame', frame)\n",
    "        print('FPS {:.1f}'.format(1 / (time.time() - stime)))\n",
    "        if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "            break\n",
    "    else:\n",
    "        capture.release()\n",
    "        cv2.destroyAllWindows()\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It works fine for videos!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Object Detection from Webcam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FPS 1.3\n",
      "FPS 11.2\n",
      "FPS 12.1\n",
      "FPS 12.2\n",
      "FPS 12.7\n",
      "FPS 12.5\n",
      "FPS 12.7\n",
      "FPS 12.9\n",
      "FPS 12.5\n",
      "FPS 12.7\n",
      "FPS 12.8\n",
      "FPS 12.3\n",
      "FPS 12.7\n",
      "FPS 12.5\n",
      "FPS 12.9\n",
      "FPS 13.0\n",
      "FPS 12.7\n",
      "FPS 12.9\n",
      "FPS 13.2\n",
      "FPS 12.5\n",
      "FPS 12.2\n",
      "FPS 12.7\n",
      "FPS 12.7\n",
      "FPS 12.7\n",
      "FPS 12.7\n",
      "FPS 12.5\n",
      "FPS 12.9\n",
      "FPS 12.4\n",
      "FPS 12.7\n",
      "FPS 12.4\n",
      "FPS 12.4\n",
      "FPS 12.4\n",
      "FPS 12.7\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FPS 12.1\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "FPS 4.9\n",
      "FPS 4.8\n",
      "FPS 4.9\n",
      "FPS 4.7\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 4.8\n",
      "FPS 4.9\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 4.6\n",
      "FPS 5.0\n",
      "FPS 4.8\n",
      "FPS 5.0\n",
      "FPS 4.8\n",
      "FPS 4.4\n",
      "FPS 4.8\n",
      "FPS 4.9\n",
      "FPS 4.9\n",
      "FPS 4.8\n",
      "FPS 4.8\n",
      "FPS 4.8\n",
      "FPS 5.0\n",
      "FPS 4.8\n",
      "FPS 4.9\n",
      "FPS 4.8\n",
      "FPS 4.9\n",
      "FPS 4.7\n",
      "FPS 4.7\n",
      "FPS 4.7\n",
      "FPS 4.9\n",
      "FPS 4.8\n",
      "FPS 4.9\n",
      "FPS 4.8\n",
      "FPS 4.9\n",
      "FPS 4.6\n",
      "FPS 4.9\n",
      "FPS 4.7\n",
      "FPS 4.7\n",
      "FPS 5.0\n",
      "FPS 4.8\n",
      "FPS 5.0\n",
      "FPS 4.7\n",
      "FPS 5.1\n",
      "FPS 4.6\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 4.8\n",
      "FPS 4.9\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 4.9\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.2\n",
      "FPS 4.9\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 4.8\n",
      "FPS 5.1\n",
      "FPS 4.6\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 4.9\n",
      "FPS 5.2\n",
      "FPS 5.1\n",
      "FPS 4.9\n",
      "FPS 5.0\n",
      "FPS 4.9\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 4.7\n",
      "FPS 5.2\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 4.9\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.2\n",
      "FPS 5.0\n",
      "FPS 5.1\n",
      "FPS 4.9\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 5.1\n",
      "FPS 4.8\n",
      "FPS 4.7\n"
     ]
    }
   ],
   "source": [
    "capture = cv2.VideoCapture(0)\n",
    "capture.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)\n",
    "capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)\n",
    "\n",
    "while True:\n",
    "    stime = time.time()\n",
    "    ret, frame = capture.read()\n",
    "    if ret:\n",
    "        results = tfnet.return_predict(frame)\n",
    "        for color, result in zip(colors, results):\n",
    "            tl = (result['topleft']['x'], result['topleft']['y'])\n",
    "            br = (result['bottomright']['x'], result['bottomright']['y'])\n",
    "            label = result['label']\n",
    "            confidence = result['confidence']\n",
    "            text = '{}: {:.0f}%'.format(label, confidence * 100)\n",
    "            frame = cv2.rectangle(frame, tl, br, color, 5)\n",
    "            frame = cv2.putText(\n",
    "                frame, text, tl, cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)\n",
    "        cv2.imshow('frame', frame)\n",
    "        print('FPS {:.1f}'.format(1 / (time.time() - stime)))\n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        break\n",
    "\n",
    "capture.release()\n",
    "cv2.destroyAllWindows()"
   ]
  }
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