Augmentation.ipynb

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    "import numpy as np\n",
    "from PIL import Image\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "from matplotlib.pyplot import figure"
   ]
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   "source": [
    "# Functions to change illumination and contrast\n",
    "\n",
    "import sys\n",
    "from PIL import Image, ImageEnhance\n",
    "Image.MAX_IMAGE_PIXELS = None\n",
    "\n",
    "mypath = \" path to image \"\n",
    "myortomosaic = \" image name \"\n",
    "\n",
    "def illuminacion(path, ortomosaic, brightness = 2):\n",
    "    img = Image.open(os.path.join(path, ortomosaic))\n",
    "    print(img.size, img.mode)\n",
    "    enhancer = ImageEnhance.Brightness(img)\n",
    "    print(\"Se produjo una ortofoto con iluminacion de: \"+ str(brightness))\n",
    "        \n",
    "    return enhancer.enhance(brightness).save(os.path.join(path,'Ilum_{}'.format(ortomosaic)))\n",
    "        \n",
    "\n",
    "def contraste(path, ortomosaic, contrast = 1.5):\n",
    "    img = Image.open(os.path.join(path, ortomosaic))\n",
    "    print(img.size, img.mode)\n",
    "    enhancer = ImageEnhance.Contrast(img)\n",
    "    print(\"Se produjo una ortofoto con contraste de: \"+ str(contrast))\n",
    "    \n",
    "    return enhancer.enhance(contrast).save(os.path.join(path,'Cont_{}'.format(ortomosaic)))\n",
    "        \n",
    "\n",
    "illuminacion(mypath,myortomosaic)\n",
    "contraste(mypath,myortomosaic)\n"
   ]
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    "\n",
    "mypath = \" path to image \"\n",
    "\n",
    "imagenes = 1\n",
    "\n",
    "for f in os.listdir(mypath):\n",
    "    i = Image.open(os.path.join(mypath, f))\n",
    "    print(f, i.size, i.mode)\n",
    "    fname, fext = os.path.splitext(f)\n",
    "    i.rotate(10).convert('RGB').save(os.path.join(mypath,'n{}.tif'.format(fname)))\n",
    "    i.transpose(Image.ROTATE_90).convert('RGB').save(os.path.join(mypath,'r{}.tif'.format(fname))) # rotation of 90 degrees (anti clock wise)\n",
    "    i.transpose(Image.FLIP_TOP_BOTTOM).convert('RGB').save(os.path.join(mypath,'v{}.tif'.format(fname)))\n",
    "    i.transpose(Image.FLIP_LEFT_RIGHT).convert('RGB').save(os.path.join(mypath,'h{}.tif'.format(fname)))\n",
    "    \n",
    "    imagenes = imagenes + 1\n",
    "\n",
    "print(\"number of processed images: \"+ str((imagenes-1)*4))\n"
   ]
  }
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