diff options
| author | adamhrv <adam@ahprojects.com> | 2019-01-22 13:42:56 +0100 |
|---|---|---|
| committer | adamhrv <adam@ahprojects.com> | 2019-01-22 13:42:56 +0100 |
| commit | b0b06be0defe97ef19cf4d0f3328db40d299e110 (patch) | |
| tree | 5d2388d716c8bba11380728bd88158116861d630 /megapixels/notebooks/datasets/imdb_wiki/imdb_wiki_kg.ipynb | |
| parent | ad1f5d63198915c1902694edfb65705a9646a2f0 (diff) | |
add kg nb
Diffstat (limited to 'megapixels/notebooks/datasets/imdb_wiki/imdb_wiki_kg.ipynb')
| -rw-r--r-- | megapixels/notebooks/datasets/imdb_wiki/imdb_wiki_kg.ipynb | 468 |
1 files changed, 468 insertions, 0 deletions
diff --git a/megapixels/notebooks/datasets/imdb_wiki/imdb_wiki_kg.ipynb b/megapixels/notebooks/datasets/imdb_wiki/imdb_wiki_kg.ipynb new file mode 100644 index 00000000..b9a77fda --- /dev/null +++ b/megapixels/notebooks/datasets/imdb_wiki/imdb_wiki_kg.ipynb @@ -0,0 +1,468 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# IMDB-WIKI Knowledge Graph" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import os.path as osp\n", + "from os.path import join\n", + "from glob import glob\n", + "import random\n", + "import math\n", + "from datetime import datetime\n", + "import requests\n", + "import json\n", + "import urllib\n", + "\n", + "import cv2 as cv\n", + "import pandas as pd\n", + "from scipy.io import loadmat\n", + "import numpy as np\n", + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from tqdm import tqdm_notebook as tqdm\n", + "%reload_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load Metadata" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "fp_meta = '/data_store_hdd/datasets/people/imdb_wiki/metadata/imdb_wiki.csv'" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "df_meta = pd.read_csv(fp_meta).set_index('index')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "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>celeb_id</th>\n", + " <th>dob</th>\n", + " <th>filepath</th>\n", + " <th>gender</th>\n", + " <th>name</th>\n", + " <th>x1</th>\n", + " <th>x2</th>\n", + " <th>y1</th>\n", + " <th>y2</th>\n", + " <th>year_photo</th>\n", + " </tr>\n", + " <tr>\n", + " <th>index</th>\n", + " <th></th>\n", + " <th></th>\n", + " <th></th>\n", + " <th></th>\n", + " <th></th>\n", + " <th></th>\n", + " <th></th>\n", + " <th></th>\n", + " <th></th>\n", + " <th></th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>6488</td>\n", + " <td>1900-5-11</td>\n", + " <td>01/nm0000001_rm124825600_1899-5-10_1968.jpg</td>\n", + " <td>m</td>\n", + " <td>Fred Astaire</td>\n", + " <td>1072.926000</td>\n", + " <td>1214.784000</td>\n", + " <td>161.838000</td>\n", + " <td>303.696000</td>\n", + " <td>1968</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>6488</td>\n", + " <td>1900-5-11</td>\n", + " <td>01/nm0000001_rm3343756032_1899-5-10_1970.jpg</td>\n", + " <td>m</td>\n", + " <td>Fred Astaire</td>\n", + " <td>477.184000</td>\n", + " <td>622.592000</td>\n", + " <td>100.352000</td>\n", + " <td>245.760000</td>\n", + " <td>1970</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>6488</td>\n", + " <td>1900-5-11</td>\n", + " <td>01/nm0000001_rm577153792_1899-5-10_1968.jpg</td>\n", + " <td>m</td>\n", + " <td>Fred Astaire</td>\n", + " <td>114.969643</td>\n", + " <td>451.686572</td>\n", + " <td>114.969643</td>\n", + " <td>451.686572</td>\n", + " <td>1968</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>6488</td>\n", + " <td>1900-5-11</td>\n", + " <td>01/nm0000001_rm946909184_1899-5-10_1968.jpg</td>\n", + " <td>m</td>\n", + " <td>Fred Astaire</td>\n", + " <td>622.885506</td>\n", + " <td>844.339008</td>\n", + " <td>424.217504</td>\n", + " <td>645.671006</td>\n", + " <td>1968</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>6488</td>\n", + " <td>1900-5-11</td>\n", + " <td>01/nm0000001_rm980463616_1899-5-10_1968.jpg</td>\n", + " <td>m</td>\n", + " <td>Fred Astaire</td>\n", + " <td>1013.859002</td>\n", + " <td>1201.586128</td>\n", + " <td>233.882042</td>\n", + " <td>421.609168</td>\n", + " <td>1968</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " celeb_id dob filepath \\\n", + "index \n", + "0 6488 1900-5-11 01/nm0000001_rm124825600_1899-5-10_1968.jpg \n", + "1 6488 1900-5-11 01/nm0000001_rm3343756032_1899-5-10_1970.jpg \n", + "2 6488 1900-5-11 01/nm0000001_rm577153792_1899-5-10_1968.jpg \n", + "3 6488 1900-5-11 01/nm0000001_rm946909184_1899-5-10_1968.jpg \n", + "4 6488 1900-5-11 01/nm0000001_rm980463616_1899-5-10_1968.jpg \n", + "\n", + " gender name x1 x2 y1 y2 \\\n", + "index \n", + "0 m Fred Astaire 1072.926000 1214.784000 161.838000 303.696000 \n", + "1 m Fred Astaire 477.184000 622.592000 100.352000 245.760000 \n", + "2 m Fred Astaire 114.969643 451.686572 114.969643 451.686572 \n", + "3 m Fred Astaire 622.885506 844.339008 424.217504 645.671006 \n", + "4 m Fred Astaire 1013.859002 1201.586128 233.882042 421.609168 \n", + "\n", + " year_photo \n", + "index \n", + "0 1968 \n", + "1 1970 \n", + "2 1968 \n", + "3 1968 \n", + "4 1968 " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_meta.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ids" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "api_key = open('/work/megapixels_dev/3rdparty/knowledge-graph-api/.api_key').read()\n", + "\n", + "def get_knowledge(q, api_key):\n", + " service_url = 'https://kgsearch.googleapis.com/v1/entities:search'\n", + " params = {\n", + " 'query': q,\n", + " 'limit': 5,\n", + " 'indent': True,\n", + " 'key': api_key,\n", + " }\n", + " url = service_url + '?' + urllib.parse.urlencode(params) # TODO: use requests\n", + " response = json.loads(urllib.request.urlopen(url).read())\n", + " response = response.get('itemListElement', [])\n", + " if len(response) > 0:\n", + " result = response[0].get('result', [])\n", + " result['score'] = response[0]['resultScore']\n", + " return result\n", + " else:\n", + " return []" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "General Secretary of the Communist Party of China\n", + "Xi Jinping\n" + ] + }, + { + "ename": "KeyError", + "evalue": "'url'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m--------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m<ipython-input-106-654588fe3a11>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'description'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'url'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'score'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'url'" + ] + } + ], + "source": [ + "# test\n", + "q = 'Xi Jinping'\n", + "r = get_knowledge(q, api_key)\n", + "print(r['description'])\n", + "print(r['name'])\n", + "print(r['url'])\n", + "print(r['score'])" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "from pprint import pprint" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "kg:/m/06ff60\n" + ] + } + ], + "source": [ + "print(r['@id'])" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'@id': 'kg:/g/11f4ksbzcm',\n", + " '@type': ['Thing', 'Event'],\n", + " 'detailedDescription': {'articleBody': 'On February 14, 2018, a gunman opened '\n", + " 'fire at Marjory Stoneman Douglas High '\n", + " 'School in Parkland, Florida, killing '\n", + " 'seventeen students and staff members '\n", + " 'and injuring seventeen others. ',\n", + " 'license': 'https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License',\n", + " 'url': 'https://en.wikipedia.org/wiki/Stoneman_Douglas_High_School_shooting'},\n", + " 'image': {'contentUrl': 'http://t1.gstatic.com/images?q=tbn:ANd9GcQmY7VqmGt4zEJU8Rc4EwPWroYd-L0QQ5wkZfiFO-WRqNBC-FPN',\n", + " 'url': 'https://en.wikipedia.org/wiki/Stoneman_Douglas_High_School_shooting'},\n", + " 'name': 'Stoneman Douglas High School shooting',\n", + " 'score': 60.411652}\n" + ] + } + ], + "source": [ + "pprint(r)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "dir_msceleb = '/data_store_hdd/datasets/people/msceleb/media/original/'" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "kgs_msceleb = os.listdir(dir_msceleb)\n", + "kgs_msceleb = ['/' + x.replace('.','/') for x in kgs_msceleb]" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'/m/06ff60' in kgs_msceleb" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "def get_kg_by_id(kg_id, api_key):\n", + " service_url = 'https://kgsearch.googleapis.com/v1/entities:search'\n", + " params = {\n", + " 'ids': kg_id,\n", + " 'limit': 1,\n", + " 'indent': True,\n", + " 'key': api_key,\n", + " }\n", + " url = service_url + '?' + urllib.parse.urlencode(params) # TODO: use requests\n", + " try:\n", + " response = json.loads(urllib.request.urlopen(url).read())\n", + " response = response.get('itemListElement', [])\n", + " result = response[0].get('result', [])\n", + " result['score'] = response[0]['resultScore']\n", + " return result\n", + " except Exception as e:\n", + " return []" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [], + "source": [ + "a = get_kg_by_id('/m/0100n5bs', api_key)" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:megapixels]", + "language": "python", + "name": "conda-env-megapixels-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} |
