You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
199 lines
6.4 KiB
199 lines
6.4 KiB
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"There are 24 buildings in the testing set.\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>file</th>\n",
|
|
" <th>building</th>\n",
|
|
" <th>site</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>../input/indoor-location-navigation/test//00ff...</td>\n",
|
|
" <td>5da1389e4db8ce0c98bd0547</td>\n",
|
|
" <td>SiteName:和达城商场</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>../input/indoor-location-navigation/test//01c4...</td>\n",
|
|
" <td>5da138b74db8ce0c98bd4774</td>\n",
|
|
" <td>SiteName:万象城</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>../input/indoor-location-navigation/test//030b...</td>\n",
|
|
" <td>5da138764db8ce0c98bcaa46</td>\n",
|
|
" <td>SiteName:银泰百货</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>../input/indoor-location-navigation/test//0389...</td>\n",
|
|
" <td>5dbc1d84c1eb61796cf7c010</td>\n",
|
|
" <td>SiteName:杭州大悦城</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>../input/indoor-location-navigation/test//0402...</td>\n",
|
|
" <td>5da1383b4db8ce0c98bc11ab</td>\n",
|
|
" <td>SiteName:永旺梦乐城</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" file \\\n",
|
|
"0 ../input/indoor-location-navigation/test//00ff... \n",
|
|
"1 ../input/indoor-location-navigation/test//01c4... \n",
|
|
"2 ../input/indoor-location-navigation/test//030b... \n",
|
|
"3 ../input/indoor-location-navigation/test//0389... \n",
|
|
"4 ../input/indoor-location-navigation/test//0402... \n",
|
|
"\n",
|
|
" building site \n",
|
|
"0 5da1389e4db8ce0c98bd0547 SiteName:和达城商场 \n",
|
|
"1 5da138b74db8ce0c98bd4774 SiteName:万象城 \n",
|
|
"2 5da138764db8ce0c98bcaa46 SiteName:银泰百货 \n",
|
|
"3 5dbc1d84c1eb61796cf7c010 SiteName:杭州大悦城 \n",
|
|
"4 5da1383b4db8ce0c98bc11ab SiteName:永旺梦乐城 "
|
|
]
|
|
},
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"import numpy as np # linear algebra\n",
|
|
"import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
|
|
"\n",
|
|
"# Input data files are available in the read-only \"../input/\" directory\n",
|
|
"# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
|
|
"\n",
|
|
"import os\n",
|
|
"# Prepare paths:\n",
|
|
"import glob\n",
|
|
"from pathlib import Path\n",
|
|
"inpath = '../input/indoor-location-navigation/'\n",
|
|
"metapath = inpath + 'metadata/'\n",
|
|
"trainpath = inpath + 'train/'\n",
|
|
"testpath = inpath + 'test/'\n",
|
|
"\n",
|
|
"# Extract testing files, buildings and sites:\n",
|
|
"os.system(f'grep SiteID {testpath}/* > test_buildings.txt' )\n",
|
|
"test_buildings = pd.read_csv('test_buildings.txt',sep='\\t',header=None,names=['file','building','site'])\n",
|
|
"test_buildings['file'] = test_buildings['file'].apply(lambda x: x[:-2])\n",
|
|
"test_buildings['building'] = test_buildings['building'].apply(lambda x: x[7:])\n",
|
|
"\n",
|
|
"# How many buildings in the testing set?\n",
|
|
"buildings = np.unique(test_buildings['building'])\n",
|
|
"print('There are',len(buildings),'buildings in the testing set.')\n",
|
|
"\n",
|
|
"test_buildings.head()\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Compile C++ pre-processing code:\n",
|
|
"er=os.system(\"g++ ../input/indoor-cpp/1_preprocess.cpp -std=c++11 -o preprocess\")\n",
|
|
"if(er): print(\"Error\")\n",
|
|
"\n",
|
|
"# Reformat the testing set:\n",
|
|
"os.system('mkdir test')\n",
|
|
"for i,(path_filename,building) in enumerate(zip(test_buildings['file'],test_buildings['building'])):\n",
|
|
" er=os.system(f'./preprocess {path_filename} test {building} {0}') #since we do not know the floor, I put 0.\n",
|
|
" if(er): print(\"Error:\",path_filename)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Acceleration, magnetic and orientation testing data:\n",
|
|
"os.system('mkdir indoor_testing_accel')\n",
|
|
"os.system(\"g++ ../input/indoor-cpp/2_preprocess_accel.cpp -std=c++11 -o preprocess_accel\")\n",
|
|
"for building in buildings:\n",
|
|
" os.system(f'./preprocess_accel {building}')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Wifi testing data:\n",
|
|
"os.system('mkdir test_wifi')\n",
|
|
"os.system(\"g++ /kaggle/input/indoor-cpp/2_preprocess_wifi.cpp -std=c++11 -o preprocess_wifi\")\n",
|
|
"for building in buildings:\n",
|
|
" os.system(f'./preprocess_wifi {building}')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"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": "3.7.7"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|