examples/notebooks/descriptors_computation/compute_local_descriptors_from_image.ipynb

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   "source": [
    "from __init__ import *\n",
    "import numpy as np\n",
    "import core.steps as steps\n",
    "from core import data_store as ds\n",
    "from core import transformer as tr\n",
    "from core.common.ds_utils import print_ds_items_info\n",
    "from core.common.path_helper import DataStoreHelper\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
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   "source": [
    "ds_helper=DataStoreHelper(r'C:\\data\\computation\\brodatz')"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compute local descriptors(siftset)"
   ]
  },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "images count in 'C:\\data\\images\\brodatz\\data.brodatz\\size_213x213':  999\n"
     ]
    }
   ],
   "source": [
    "img_dir_path = r'C:\\data\\images\\brodatz\\data.brodatz\\size_213x213'\n",
    "images_ds = ds.FileSystemDirectoryDataStore(dir_path=img_dir_path)\n",
    "print(\"images count in '{0}': \".format(img_dir_path), images_ds.get_count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
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    {
     "name": "stdout",
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     "text": [
      "count of items in ds:  999\n",
      "shape of item[0]:  (379, 128)\n",
      "shape of item[1]:  (407, 128)\n",
      "shape of item[2]:  (395, 128)\n"
     ]
    }
   ],
   "source": [
    "siftsets_ds = ds_helper.local_descriptors_ds(\"sifts\")\n",
    "transformers_=[tr.BytesToNdarray(), tr.NdarrayToOpencvMatrix(), tr.OpencvMatrixToSiftsSet()]\n",
    "steps.transform_step(images_ds, transformers_, siftsets_ds)\n",
    "print_ds_items_info(siftsets_ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count of items in ds:  826845\n",
      "shape of item[0]:  (128,)\n",
      "shape of item[1]:  (128,)\n",
      "shape of item[2]:  (128,)\n"
     ]
    }
   ],
   "source": [
    "siftsets_ds_ = ds_helper.local_descriptors_ds(\"sifts\", one_to_many=False)\n",
    "print_ds_items_info(siftsets_ds_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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