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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Create Name List"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"%reload_ext autoreload\n",
"%autoreload 2\n",
"\n",
"import os\n",
"from os.path import join\n",
"from glob import glob\n",
"from pathlib import Path\n",
"import requests\n",
"import json\n",
"from urllib.parse import unquote\n",
"\n",
"from tqdm import tqdm_notebook as tqdm\n",
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"import sys\n",
"sys.path.append('/work/megapixels_dev/megapixels')\n",
"from app.utils import api_utils, identity_utils\n",
"from app.settings import app_cfg\n",
"from app.settings import types"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"fp_yfcc = '/data_store_hdd/datasets/people/yfcc100m/downloads/usernames.txt'\n",
"fp_yfcc_clean = '/data_store_hdd/datasets/people/yfcc100m/downloads/usernames_clean.txt'\n",
"fp_dir_research = '/data_store_hdd/datasets/people/ibm_dif/research/'\n",
"fp_usernames = join(fp_dir_research, 'usernames_decoded.csv')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Convert YFCC to Unique Name List"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"with open(fp_yfcc, 'r') as fp:\n",
" usernames_raw = fp.readlines()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "ea6b4e8d2a8145f2b7efb559575862b8",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(IntProgress(value=0, max=100000000), HTML(value='')))"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"usernames = []\n",
"for username in tqdm(usernames_raw):\n",
" un_clean = unquote(username.strip().lower().replace(' ', '+'))\n",
" usernames.append(un_clean)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"with open(fp_yfcc_clean, 'w') as fp:\n",
" for username in usernames:\n",
" fp.write(username + \"\\n\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "megapixels",
"language": "python",
"name": "megapixels"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|
