cap2.ipynb

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  {
   "cell_type": "markdown",
   "source": [
    "## Cap 2\n",
    "\n",
    "Accessing and manipulating pixels in\n",
    "OpenCV with BGR images"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Importar biblioteca OpenCV no python - opencv-python\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import cv2\n"
   ],
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     "name": "#%%\n",
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    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Carregar imagem na variável"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "img = cv2.imread('pythonlogo.png')\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Acessar atributos"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "name": "stdout",
     "text": [
      "(880, 840, 3)\n",
      "2217600\n",
      "[254, 254, 254]\n"
     ],
     "output_type": "stream"
    }
   ],
   "source": [
    "print(img.shape)\n",
    "print(img.size)\n",
    "\n",
    "#Acessando apenas um pixel\n",
    "[b, r, g] = img[6, 560]\n",
    "print([b, r, g])\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Imprimindo a imagem\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "cv2.imshow(\"Imagem\", img)\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Modificando valores de pixels"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "13"
     },
     "metadata": {},
     "output_type": "execute_result",
     "execution_count": 5
    }
   ],
   "source": [
    "img[100, :] = (255,255,255)\n",
    "\n",
    "cv2.imshow(\"Imagem\", img)\n",
    "cv2.waitKey(10000)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Lendo imagem em escala de cinza"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "13"
     },
     "metadata": {},
     "output_type": "execute_result",
     "execution_count": 6
    }
   ],
   "source": [
    "img_cinza = cv2.imread('pythonlogo.png', cv2.IMREAD_GRAYSCALE)\n",
    "cv2.imshow(\"em cinza\", img_cinza)\n",
    "cv2.waitKey(3000)\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  }
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