examples/notebooks/searching/exhaustive_search.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from __init__ import *\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.search.exhaustive_searcher import ExhaustiveSearcher\n",
    "from core.common.path_helper import DataStoreHelper\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exhaustive search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ds_helper=DataStoreHelper(r'C:\\data\\computation\\brodatz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def ex_search(descriptor_name):\n",
    "    descriptors_ds=ds_helper.global_descriptors_ds(descriptor_name)\n",
    "    neighbors_ids_ds=ds_helper.ex_search_neighbors_ids_ds(descriptor_name)\n",
    "    ids, descriptors=ds.get_as_array(descriptors_ds, return_ids=True)\n",
    "    \n",
    "    ex_searcher=ExhaustiveSearcher(descriptors, ids)\n",
    "    n_nearest=25\n",
    "    \n",
    "    steps.search_step(descriptors_ds, ex_searcher, n_nearest, neighbors_ids_ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "descriptor_names=['histograms', 'lbphistograms', 'glcms']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for descriptor_name in descriptor_names:\n",
    "    ex_search(descriptor_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bovwbincounts and Bovwproductbincounts are global descriptors too"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "K_arr = [2 ** i for i in [4,5,6,7,8]]\n",
    "m_arr = [m for m in [1, 2, 4, 8, 16]]\n",
    "pq_params_arr = [{'n_clusters': K, 'n_quantizers': m} for K in K_arr for m in m_arr]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "bovwbincounts_descriptors_names=ds_helper.bovw_descriptors_names('bovwbincounts',pq_params_arr)\n",
    "print(bovwbincounts_descriptors_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "bovwproductbincounts_descriptors_names=ds_helper.bovw_descriptors_names('bovwproductbincounts',pq_params_arr)\n",
    "print(bovwproductbincounts_descriptors_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "for descriptor_name in bovwbincounts_descriptors_names:\n",
    "    ex_search(descriptor_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "for descriptor_name in bovwproductbincounts_descriptors_names:\n",
    "    ex_search(descriptor_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}