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authorJules Laplace <julescarbon@gmail.com>2019-03-08 17:19:36 +0100
committerJules Laplace <julescarbon@gmail.com>2019-03-08 17:19:36 +0100
commit1dcb61dab45b4891b1b737877d3d95e1211f33b3 (patch)
treea13ee4541e0a55dcbdfe5701b79ddd8da6ed8ca9
parent6ddf79260f153aa52d2b444772c03cae502f4d35 (diff)
sortable dataset list
Diffstat
-rw-r--r--client/applet.js3
-rw-r--r--client/datasetList/datasetList.container.js87
-rw-r--r--client/datasetList/index.js5
-rw-r--r--client/index.js2
-rw-r--r--megapixels/app/settings/app_cfg.py2
-rw-r--r--megapixels/app/site/loader.py10
-rw-r--r--package-lock.json473
-rw-r--r--package.json3
-rw-r--r--scraper/s2-final-report.py7
-rw-r--r--scraper/s2-geocode-spreadsheet.py3
-rw-r--r--site/assets/css/applets.css3
-rw-r--r--site/assets/css/css.css80
-rw-r--r--site/content/pages/datasets/brainwash/index.md3
-rw-r--r--site/content/pages/datasets/index.md2
-rw-r--r--site/content/pages/datasets/lfw/index.md3
-rw-r--r--site/content/pages/test/chart.md19
-rw-r--r--site/content/pages/test/index.md1
-rw-r--r--site/public/datasets/brainwash/index.html44
-rw-r--r--site/public/datasets/index.html28
-rw-r--r--site/public/datasets/lfw/index.html7
-rw-r--r--site/public/test/chart/index.html52
-rw-r--r--site/public/test/index.html1
-rw-r--r--site/templates/datasets.html10
23 files changed, 426 insertions, 422 deletions
diff --git a/client/applet.js b/client/applet.js
index 25291401..27191693 100644
--- a/client/applet.js
+++ b/client/applet.js
@@ -3,6 +3,7 @@ import React, { Component } from 'react'
import { Container as FaceSearchContainer } from './faceSearch'
import { Container as FaceAnalysisContainer } from './faceAnalysis'
import { Container as NameSearchContainer } from './nameSearch'
+import { Container as DatasetListContainer } from './datasetList'
export default class Applet extends Component {
render() {
@@ -14,6 +15,8 @@ export default class Applet extends Component {
return <FaceSearchContainer {...this.props} />
case 'name_search':
return <NameSearchContainer {...this.props} />
+ case 'dataset_list':
+ return <DatasetListContainer {...this.props} />
default:
return <pre style={{ color: '#0f0' }}>{'Megapixels'}</pre>
}
diff --git a/client/datasetList/datasetList.container.js b/client/datasetList/datasetList.container.js
new file mode 100644
index 00000000..615c6278
--- /dev/null
+++ b/client/datasetList/datasetList.container.js
@@ -0,0 +1,87 @@
+import React, { Component } from 'react'
+import { bindActionCreators } from 'redux'
+import { connect } from 'react-redux'
+import { toArray } from '../util'
+
+// import DatasetListQuery from './datasetList.query'
+
+const parseTypes = {
+ string: s => s.toLowerCase(),
+ number: s => parseInt((s || '0').replace(',', '').trim()),
+}
+
+const sortTypes = {
+ string: (a,b) => a[0].localeCompare(b[0]),
+ number: (a,b) => a[0] - b[0],
+}
+
+const sortOptions = [
+ { field: 'title', title: 'Name', type: 'string' },
+ { field: 'year', title: 'Year', type: 'number' },
+ { field: 'purpose', title: 'Purpose', type: 'string' },
+ { field: 'images', title: 'Images', type: 'number', reversed: true },
+]
+
+class DatasetListContainer extends Component {
+ state = {
+ sort: sortOptions[0],
+ reversed: false,
+ }
+
+ constructor(){
+ super()
+ const parent = document.querySelector('.dataset-intro .dataset-list')
+ this.parent = parent
+ this.els = toArray(parent.children)
+ }
+
+ sortBy(order){
+ let { sort, reversed } = this.state
+ if (sort === order) reversed = !reversed
+ else reversed = !!order.reversed
+ const parseFn = parseTypes[order.type]
+ const sortFn = sortTypes[order.type]
+ let els = this.els
+ .map(el => [
+ parseFn(el.querySelector('.' + order.field).innerText),
+ el,
+ ])
+ .sort(sortFn)
+ .map(pair => pair[1])
+ if (reversed) els.reverse()
+ els.forEach(el => {
+ this.parent.removeChild(el)
+ this.parent.appendChild(el)
+ if (order.field !== 'title' && order.field !== sort.field) {
+ const viz = el.querySelector('.visible')
+ if (viz) {
+ viz.classList.remove('visible')
+ }
+ }
+ el.querySelector('.' + order.field).classList.add('visible')
+ })
+ this.setState({ sort: order, reversed })
+ }
+
+ render() {
+ const { payload } = this.props
+ // console.log(payload)
+ return (
+ <div className='dataset-list'>
+ <ul className='sort-options'>
+ {sortOptions.map(order =>
+ <li
+ key={order.field}
+ className={order.field === this.state.sort.field ? 'active' : ''}
+ onClick={() => this.sortBy(order)}>
+ {order.title}
+ </li>
+ )}
+ </ul>
+ </div>
+ )
+ }
+}
+
+
+export default DatasetListContainer
diff --git a/client/datasetList/index.js b/client/datasetList/index.js
new file mode 100644
index 00000000..5c32b960
--- /dev/null
+++ b/client/datasetList/index.js
@@ -0,0 +1,5 @@
+import Container from './datasetList.container'
+
+export {
+ Container,
+}
diff --git a/client/index.js b/client/index.js
index 9db88f14..1e4e2eb8 100644
--- a/client/index.js
+++ b/client/index.js
@@ -80,7 +80,7 @@ function runApplets() {
url = null
}
}
- if (!dataset && !url) {
+ if (('datasets' in payload) && !dataset && !url) {
const path = window.location.pathname.split('/').filter(s => !!s)
if (path.length) {
dataset = path.pop()
diff --git a/megapixels/app/settings/app_cfg.py b/megapixels/app/settings/app_cfg.py
index d213f584..891ab503 100644
--- a/megapixels/app/settings/app_cfg.py
+++ b/megapixels/app/settings/app_cfg.py
@@ -167,6 +167,8 @@ DIR_SITE_CONTENT = "../site/content/pages"
DIR_SITE_TEMPLATES = "../site/templates"
DIR_SITE_INCLUDES = "../site/includes"
DIR_SITE_USER_CONTENT = "../site/public/user_content"
+DIR_SITE_DATASETS = "../site/datasets/"
+DIR_SITE_FINAL_CITATIONS = "../site/datasets/final/"
# -----------------------------------------------------------------------------
# Celery
diff --git a/megapixels/app/site/loader.py b/megapixels/app/site/loader.py
index 04f7653a..80ac4710 100644
--- a/megapixels/app/site/loader.py
+++ b/megapixels/app/site/loader.py
@@ -1,10 +1,11 @@
import os
import re
import glob
-import simplejson as json
import app.settings.app_cfg as cfg
+from app.utils.file_utils import load_json
+
def read_metadata(fn):
"""
Read in read a markdown file and extract the metadata
@@ -36,7 +37,8 @@ def parse_metadata(fn, sections):
"""
parse the metadata headers in a markdown file
(everything before the second ---------)
- also generates appropriate urls for this page :)
+ - determines appropriate urls for this page
+ - loads paper if any
"""
found_meta = False
metadata = {}
@@ -78,6 +80,10 @@ def parse_metadata(fn, sections):
metadata['author_html'] = '<br>'.join(metadata['authors'].split(','))
+ dataset_path = os.path.join(cfg.DIR_SITE_FINAL_CITATIONS, metadata['slug'] + '.json')
+ if os.path.exists(dataset_path):
+ metadata['meta'] = load_json(dataset_path)
+
return metadata, valid_sections
def parse_metadata_section(metadata, section):
diff --git a/package-lock.json b/package-lock.json
index a4d114fc..22f4d92e 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -319,20 +319,17 @@
"ansi-regex": {
"version": "2.1.1",
"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-2.1.1.tgz",
- "integrity": "sha1-w7M6te42DYbg5ijwRorn7yfWVN8=",
- "dev": true
+ "integrity": "sha1-w7M6te42DYbg5ijwRorn7yfWVN8="
},
"ansi-styles": {
"version": "2.2.1",
"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-2.2.1.tgz",
- "integrity": "sha1-tDLdM1i2NM914eRmQ2gkBTPB3b4=",
- "dev": true
+ "integrity": "sha1-tDLdM1i2NM914eRmQ2gkBTPB3b4="
},
"anymatch": {
"version": "1.3.2",
"resolved": "https://registry.npmjs.org/anymatch/-/anymatch-1.3.2.tgz",
"integrity": "sha512-0XNayC8lTHQ2OI8aljNCN3sSx6hsr/1+rlcDAotXJR7C1oZZHCNsfpbKwMjRA3Uqb5tF1Rae2oloTr4xpq+WjA==",
- "dev": true,
"optional": true,
"requires": {
"micromatch": "^2.1.5",
@@ -361,7 +358,6 @@
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/arr-diff/-/arr-diff-2.0.0.tgz",
"integrity": "sha1-jzuCf5Vai9ZpaX5KQlasPOrjVs8=",
- "dev": true,
"optional": true,
"requires": {
"arr-flatten": "^1.0.1"
@@ -370,14 +366,12 @@
"arr-flatten": {
"version": "1.1.0",
"resolved": "https://registry.npmjs.org/arr-flatten/-/arr-flatten-1.1.0.tgz",
- "integrity": "sha512-L3hKV5R/p5o81R7O02IGnwpDmkp6E982XhtbuwSe3O4qOtMMMtodicASA1Cny2U+aCXcNpml+m4dPsvsJ3jatg==",
- "dev": true
+ "integrity": "sha512-L3hKV5R/p5o81R7O02IGnwpDmkp6E982XhtbuwSe3O4qOtMMMtodicASA1Cny2U+aCXcNpml+m4dPsvsJ3jatg=="
},
"arr-union": {
"version": "3.1.0",
"resolved": "https://registry.npmjs.org/arr-union/-/arr-union-3.1.0.tgz",
- "integrity": "sha1-45sJrqne+Gao8gbiiK9jkZuuOcQ=",
- "dev": true
+ "integrity": "sha1-45sJrqne+Gao8gbiiK9jkZuuOcQ="
},
"array-flatten": {
"version": "2.1.2",
@@ -414,7 +408,6 @@
"version": "0.2.1",
"resolved": "https://registry.npmjs.org/array-unique/-/array-unique-0.2.1.tgz",
"integrity": "sha1-odl8yvy8JiXMcPrc6zalDFiwGlM=",
- "dev": true,
"optional": true
},
"asn1.js": {
@@ -457,8 +450,7 @@
"assign-symbols": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/assign-symbols/-/assign-symbols-1.0.0.tgz",
- "integrity": "sha1-WWZ/QfrdTyDMvCu5a41Pf3jsA2c=",
- "dev": true
+ "integrity": "sha1-WWZ/QfrdTyDMvCu5a41Pf3jsA2c="
},
"async": {
"version": "2.6.1",
@@ -472,14 +464,12 @@
"async-each": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/async-each/-/async-each-1.0.1.tgz",
- "integrity": "sha1-GdOGodntxufByF04iu28xW0zYC0=",
- "dev": true
+ "integrity": "sha1-GdOGodntxufByF04iu28xW0zYC0="
},
"atob": {
"version": "2.1.2",
"resolved": "https://registry.npmjs.org/atob/-/atob-2.1.2.tgz",
- "integrity": "sha512-Wm6ukoaOGJi/73p/cl2GvLjTI5JM1k/O14isD73YML8StrH/7/lRFgmg8nICZgD3bZZvjwCGxtMOD3wWNAu8cg==",
- "dev": true
+ "integrity": "sha512-Wm6ukoaOGJi/73p/cl2GvLjTI5JM1k/O14isD73YML8StrH/7/lRFgmg8nICZgD3bZZvjwCGxtMOD3wWNAu8cg=="
},
"aws-sdk": {
"version": "2.377.0",
@@ -501,7 +491,6 @@
"version": "6.26.0",
"resolved": "https://registry.npmjs.org/babel-cli/-/babel-cli-6.26.0.tgz",
"integrity": "sha1-UCq1SHTX24itALiHoGODzgPQAvE=",
- "dev": true,
"requires": {
"babel-core": "^6.26.0",
"babel-polyfill": "^6.26.0",
@@ -523,8 +512,7 @@
"source-map": {
"version": "0.5.7",
"resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
- "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w=",
- "dev": true
+ "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w="
}
}
},
@@ -532,7 +520,6 @@
"version": "6.26.0",
"resolved": "https://registry.npmjs.org/babel-code-frame/-/babel-code-frame-6.26.0.tgz",
"integrity": "sha1-Y/1D99weO7fONZR9uP42mj9Yx0s=",
- "dev": true,
"requires": {
"chalk": "^1.1.3",
"esutils": "^2.0.2",
@@ -542,8 +529,7 @@
"js-tokens": {
"version": "3.0.2",
"resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-3.0.2.tgz",
- "integrity": "sha1-mGbfOVECEw449/mWvOtlRDIJwls=",
- "dev": true
+ "integrity": "sha1-mGbfOVECEw449/mWvOtlRDIJwls="
}
}
},
@@ -551,7 +537,6 @@
"version": "6.26.3",
"resolved": "https://registry.npmjs.org/babel-core/-/babel-core-6.26.3.tgz",
"integrity": "sha512-6jyFLuDmeidKmUEb3NM+/yawG0M2bDZ9Z1qbZP59cyHLz8kYGKYwpJP0UwUKKUiTRNvxfLesJnTedqczP7cTDA==",
- "dev": true,
"requires": {
"babel-code-frame": "^6.26.0",
"babel-generator": "^6.26.0",
@@ -577,8 +562,7 @@
"source-map": {
"version": "0.5.7",
"resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
- "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w=",
- "dev": true
+ "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w="
}
}
},
@@ -608,7 +592,6 @@
"version": "6.26.1",
"resolved": "https://registry.npmjs.org/babel-generator/-/babel-generator-6.26.1.tgz",
"integrity": "sha512-HyfwY6ApZj7BYTcJURpM5tznulaBvyio7/0d4zFOeMPUmfxkCjHocCuoLa2SAGzBI8AREcH3eP3758F672DppA==",
- "dev": true,
"requires": {
"babel-messages": "^6.23.0",
"babel-runtime": "^6.26.0",
@@ -623,8 +606,7 @@
"source-map": {
"version": "0.5.7",
"resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
- "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w=",
- "dev": true
+ "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w="
}
}
},
@@ -770,7 +752,6 @@
"version": "6.24.1",
"resolved": "https://registry.npmjs.org/babel-helpers/-/babel-helpers-6.24.1.tgz",
"integrity": "sha1-NHHenK7DiOXIUOWX5Yom3fN2ArI=",
- "dev": true,
"requires": {
"babel-runtime": "^6.22.0",
"babel-template": "^6.24.1"
@@ -856,7 +837,6 @@
"version": "6.23.0",
"resolved": "https://registry.npmjs.org/babel-messages/-/babel-messages-6.23.0.tgz",
"integrity": "sha1-8830cDhYA1sqKVHG7F7fbGLyYw4=",
- "dev": true,
"requires": {
"babel-runtime": "^6.22.0"
}
@@ -1227,7 +1207,6 @@
"version": "6.26.0",
"resolved": "https://registry.npmjs.org/babel-polyfill/-/babel-polyfill-6.26.0.tgz",
"integrity": "sha1-N5k3q8Z9eJWXCtxiHyhM2WbPIVM=",
- "dev": true,
"requires": {
"babel-runtime": "^6.26.0",
"core-js": "^2.5.0",
@@ -1237,8 +1216,7 @@
"regenerator-runtime": {
"version": "0.10.5",
"resolved": "https://registry.npmjs.org/regenerator-runtime/-/regenerator-runtime-0.10.5.tgz",
- "integrity": "sha1-M2w+/BIgrc7dosn6tntaeVWjNlg=",
- "dev": true
+ "integrity": "sha1-M2w+/BIgrc7dosn6tntaeVWjNlg="
}
}
},
@@ -1284,7 +1262,6 @@
"version": "6.26.0",
"resolved": "https://registry.npmjs.org/babel-register/-/babel-register-6.26.0.tgz",
"integrity": "sha1-btAhFz4vy0htestFxgCahW9kcHE=",
- "dev": true,
"requires": {
"babel-core": "^6.26.0",
"babel-runtime": "^6.26.0",
@@ -1299,7 +1276,6 @@
"version": "6.26.0",
"resolved": "https://registry.npmjs.org/babel-runtime/-/babel-runtime-6.26.0.tgz",
"integrity": "sha1-llxwWGaOgrVde/4E/yM3vItWR/4=",
- "dev": true,
"requires": {
"core-js": "^2.4.0",
"regenerator-runtime": "^0.11.0"
@@ -1308,8 +1284,7 @@
"regenerator-runtime": {
"version": "0.11.1",
"resolved": "https://registry.npmjs.org/regenerator-runtime/-/regenerator-runtime-0.11.1.tgz",
- "integrity": "sha512-MguG95oij0fC3QV3URf4V2SDYGJhJnJGqvIIgdECeODCT98wSWDAJ94SSuVpYQUoTcGUIL6L4yNB7j1DFFHSBg==",
- "dev": true
+ "integrity": "sha512-MguG95oij0fC3QV3URf4V2SDYGJhJnJGqvIIgdECeODCT98wSWDAJ94SSuVpYQUoTcGUIL6L4yNB7j1DFFHSBg=="
}
}
},
@@ -1317,7 +1292,6 @@
"version": "6.26.0",
"resolved": "https://registry.npmjs.org/babel-template/-/babel-template-6.26.0.tgz",
"integrity": "sha1-3gPi0WOWsGn0bdn/+FIfsaDjXgI=",
- "dev": true,
"requires": {
"babel-runtime": "^6.26.0",
"babel-traverse": "^6.26.0",
@@ -1330,7 +1304,6 @@
"version": "6.26.0",
"resolved": "https://registry.npmjs.org/babel-traverse/-/babel-traverse-6.26.0.tgz",
"integrity": "sha1-RqnL1+3MYsjlwGTi0tjQ9ANXZu4=",
- "dev": true,
"requires": {
"babel-code-frame": "^6.26.0",
"babel-messages": "^6.23.0",
@@ -1347,7 +1320,6 @@
"version": "6.26.0",
"resolved": "https://registry.npmjs.org/babel-types/-/babel-types-6.26.0.tgz",
"integrity": "sha1-o7Bz+Uq0nrb6Vc1lInozQ4BjJJc=",
- "dev": true,
"requires": {
"babel-runtime": "^6.26.0",
"esutils": "^2.0.2",
@@ -1358,8 +1330,7 @@
"babylon": {
"version": "6.18.0",
"resolved": "https://registry.npmjs.org/babylon/-/babylon-6.18.0.tgz",
- "integrity": "sha512-q/UEjfGJ2Cm3oKV71DJz9d25TPnq5rhBVL2Q4fA5wcC3jcrdn7+SssEybFIxwAvvP+YCsCYNKughoF33GxgycQ==",
- "dev": true
+ "integrity": "sha512-q/UEjfGJ2Cm3oKV71DJz9d25TPnq5rhBVL2Q4fA5wcC3jcrdn7+SssEybFIxwAvvP+YCsCYNKughoF33GxgycQ=="
},
"balanced-match": {
"version": "1.0.0",
@@ -1370,7 +1341,6 @@
"version": "0.11.2",
"resolved": "https://registry.npmjs.org/base/-/base-0.11.2.tgz",
"integrity": "sha512-5T6P4xPgpp0YDFvSWwEZ4NoE3aM4QBQXDzmVbraCkFj8zHM+mba8SyqB5DbZWyR7mYHo6Y7BdQo3MoA4m0TeQg==",
- "dev": true,
"requires": {
"cache-base": "^1.0.1",
"class-utils": "^0.3.5",
@@ -1385,7 +1355,6 @@
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/define-property/-/define-property-1.0.0.tgz",
"integrity": "sha1-dp66rz9KY6rTr56NMEybvnm/sOY=",
- "dev": true,
"requires": {
"is-descriptor": "^1.0.0"
}
@@ -1394,7 +1363,6 @@
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/is-accessor-descriptor/-/is-accessor-descriptor-1.0.0.tgz",
"integrity": "sha512-m5hnHTkcVsPfqx3AKlyttIPb7J+XykHvJP2B9bZDjlhLIoEq4XoK64Vg7boZlVWYK6LUY94dYPEE7Lh0ZkZKcQ==",
- "dev": true,
"requires": {
"kind-of": "^6.0.0"
}
@@ -1403,7 +1371,6 @@
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/is-data-descriptor/-/is-data-descriptor-1.0.0.tgz",
"integrity": "sha512-jbRXy1FmtAoCjQkVmIVYwuuqDFUbaOeDjmed1tOGPrsMhtJA4rD9tkgA0F1qJ3gRFRXcHYVkdeaP50Q5rE/jLQ==",
- "dev": true,
"requires": {
"kind-of": "^6.0.0"
}
@@ -1412,7 +1379,6 @@
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/is-descriptor/-/is-descriptor-1.0.2.tgz",
"integrity": "sha512-2eis5WqQGV7peooDyLmNEPUrps9+SXX5c9pL3xEB+4e9HnGuDa7mB7kHxHw4CbqS9k1T2hOH3miL8n8WtiYVtg==",
- "dev": true,
"requires": {
"is-accessor-descriptor": "^1.0.0",
"is-data-descriptor": "^1.0.0",
@@ -1422,14 +1388,12 @@
"isobject": {
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/isobject/-/isobject-3.0.1.tgz",
- "integrity": "sha1-TkMekrEalzFjaqH5yNHMvP2reN8=",
- "dev": true
+ "integrity": "sha1-TkMekrEalzFjaqH5yNHMvP2reN8="
},
"kind-of": {
"version": "6.0.2",
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+ "integrity": "sha1-G2HAViGQqN/2rjuyzwIAyhMLhtQ="
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+ "integrity": "sha1-Cr9PHKpbyx96nYrMbepPqqBLrJs="
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+ "resolved": "https://registry.npmjs.org/expand-range/-/expand-range-1.8.2.tgz",
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@@ -3781,7 +3722,6 @@
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@@ -3791,24 +3731,20 @@
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- "bundled": true,
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+ "bundled": true
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@@ -3817,13 +3753,11 @@
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+ "bundled": true
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@@ -3832,34 +3766,28 @@
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+ "bundled": true
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+ "bundled": true
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"console-control-strings": {
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+ "bundled": true
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@@ -3868,25 +3796,21 @@
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@@ -3895,13 +3819,11 @@
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@@ -3917,7 +3839,6 @@
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@@ -3931,13 +3852,11 @@
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@@ -3946,7 +3865,6 @@
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@@ -3955,7 +3873,6 @@
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@@ -3964,19 +3881,16 @@
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+ "bundled": true
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@@ -3984,26 +3898,22 @@
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- "dev": true
+ "integrity": "sha512-TTlYpa+OL+vMMNG24xSlQGEJ3B/RzEfUlLct7b5G/ytav+wPrplCpVMFuwzXbkecJrb6IYo1iFb0S9v37754mg=="
},
"right-align": {
"version": "0.1.3",
@@ -7948,7 +7738,6 @@
"version": "1.1.0",
"resolved": "http://registry.npmjs.org/safe-regex/-/safe-regex-1.1.0.tgz",
"integrity": "sha1-QKNmnzsHfR6UPURinhV91IAjvy4=",
- "dev": true,
"requires": {
"ret": "~0.1.10"
}
@@ -8072,7 +7861,6 @@
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/set-value/-/set-value-2.0.0.tgz",
"integrity": "sha512-hw0yxk9GT/Hr5yJEYnHNKYXkIA8mVJgd9ditYZCe16ZczcaELYYcfvaXesNACk2O8O0nTiPQcQhGUQj8JLzeeg==",
- "dev": true,
"requires": {
"extend-shallow": "^2.0.1",
"is-extendable": "^0.1.1",
@@ -8084,7 +7872,6 @@
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/extend-shallow/-/extend-shallow-2.0.1.tgz",
"integrity": "sha1-Ua99YUrZqfYQ6huvu5idaxxWiQ8=",
- "dev": true,
"requires": {
"is-extendable": "^0.1.0"
}
@@ -8153,8 +7940,7 @@
"slash": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/slash/-/slash-1.0.0.tgz",
- "integrity": "sha1-xB8vbDn8FtHNF61LXYlhFK5HDVU=",
- "dev": true
+ "integrity": "sha1-xB8vbDn8FtHNF61LXYlhFK5HDVU="
},
"slice-ansi": {
"version": "1.0.0",
@@ -8169,7 +7955,6 @@
"version": "0.8.2",
"resolved": "https://registry.npmjs.org/snapdragon/-/snapdragon-0.8.2.tgz",
"integrity": "sha512-FtyOnWN/wCHTVXOMwvSv26d+ko5vWlIDD6zoUJ7LW8vh+ZBC8QdljveRP+crNrtBwioEUWy/4dMtbBjA4ioNlg==",
- "dev": true,
"requires": {
"base": "^0.11.1",
"debug": "^2.2.0",
@@ -8185,7 +7970,6 @@
"version": "0.2.5",
"resolved": "https://registry.npmjs.org/define-property/-/define-property-0.2.5.tgz",
"integrity": "sha1-w1se+RjsPJkPmlvFe+BKrOxcgRY=",
- "dev": true,
"requires": {
"is-descriptor": "^0.1.0"
}
@@ -8194,7 +7978,6 @@
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/extend-shallow/-/extend-shallow-2.0.1.tgz",
"integrity": "sha1-Ua99YUrZqfYQ6huvu5idaxxWiQ8=",
- "dev": true,
"requires": {
"is-extendable": "^0.1.0"
}
@@ -8202,8 +7985,7 @@
"source-map": {
"version": "0.5.7",
"resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
- "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w=",
- "dev": true
+ "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w="
}
}
},
@@ -8211,7 +7993,6 @@
"version": "2.1.1",
"resolved": "https://registry.npmjs.org/snapdragon-node/-/snapdragon-node-2.1.1.tgz",
"integrity": "sha512-O27l4xaMYt/RSQ5TR3vpWCAB5Kb/czIcqUFOM/C4fYcLnbZUc1PkjTAMjof2pBWaSTwOUd6qUHcFGVGj7aIwnw==",
- "dev": true,
"requires": {
"define-property": "^1.0.0",
"isobject": "^3.0.0",
@@ -8222,7 +8003,6 @@
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/define-property/-/define-property-1.0.0.tgz",
"integrity": "sha1-dp66rz9KY6rTr56NMEybvnm/sOY=",
- "dev": true,
"requires": {
"is-descriptor": "^1.0.0"
}
@@ -8231,7 +8011,6 @@
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/is-accessor-descriptor/-/is-accessor-descriptor-1.0.0.tgz",
"integrity": "sha512-m5hnHTkcVsPfqx3AKlyttIPb7J+XykHvJP2B9bZDjlhLIoEq4XoK64Vg7boZlVWYK6LUY94dYPEE7Lh0ZkZKcQ==",
- "dev": true,
"requires": {
"kind-of": "^6.0.0"
}
@@ -8240,7 +8019,6 @@
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/is-data-descriptor/-/is-data-descriptor-1.0.0.tgz",
"integrity": "sha512-jbRXy1FmtAoCjQkVmIVYwuuqDFUbaOeDjmed1tOGPrsMhtJA4rD9tkgA0F1qJ3gRFRXcHYVkdeaP50Q5rE/jLQ==",
- "dev": true,
"requires": {
"kind-of": "^6.0.0"
}
@@ -8249,7 +8027,6 @@
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/is-descriptor/-/is-descriptor-1.0.2.tgz",
"integrity": "sha512-2eis5WqQGV7peooDyLmNEPUrps9+SXX5c9pL3xEB+4e9HnGuDa7mB7kHxHw4CbqS9k1T2hOH3miL8n8WtiYVtg==",
- "dev": true,
"requires": {
"is-accessor-descriptor": "^1.0.0",
"is-data-descriptor": "^1.0.0",
@@ -8259,14 +8036,12 @@
"isobject": {
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/isobject/-/isobject-3.0.1.tgz",
- "integrity": "sha1-TkMekrEalzFjaqH5yNHMvP2reN8=",
- "dev": true
+ "integrity": "sha1-TkMekrEalzFjaqH5yNHMvP2reN8="
},
"kind-of": {
"version": "6.0.2",
"resolved": "https://registry.npmjs.org/kind-of/-/kind-of-6.0.2.tgz",
- "integrity": "sha512-s5kLOcnH0XqDO+FvuaLX8DDjZ18CGFk7VygH40QoKPUQhW4e2rvM0rwUq0t8IQDOwYSeLK01U90OjzBTme2QqA==",
- "dev": true
+ "integrity": "sha512-s5kLOcnH0XqDO+FvuaLX8DDjZ18CGFk7VygH40QoKPUQhW4e2rvM0rwUq0t8IQDOwYSeLK01U90OjzBTme2QqA=="
}
}
},
@@ -8274,7 +8049,6 @@
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/snapdragon-util/-/snapdragon-util-3.0.1.tgz",
"integrity": "sha512-mbKkMdQKsjX4BAL4bRYTj21edOf8cN7XHdYUJEe+Zn99hVEYcMvKPct1IqNe7+AZPirn8BCDOQBHQZknqmKlZQ==",
- "dev": true,
"requires": {
"kind-of": "^3.2.0"
}
@@ -8351,7 +8125,6 @@
"version": "0.5.2",
"resolved": "https://registry.npmjs.org/source-map-resolve/-/source-map-resolve-0.5.2.tgz",
"integrity": "sha512-MjqsvNwyz1s0k81Goz/9vRBe9SZdB09Bdw+/zYyO+3CuPk6fouTaxscHkgtE8jKvf01kVfl8riHzERQ/kefaSA==",
- "dev": true,
"requires": {
"atob": "^2.1.1",
"decode-uri-component": "^0.2.0",
@@ -8364,7 +8137,6 @@
"version": "0.4.18",
"resolved": "https://registry.npmjs.org/source-map-support/-/source-map-support-0.4.18.tgz",
"integrity": "sha512-try0/JqxPLF9nOjvSta7tVondkP5dwgyLDjVoyMDlmjugT2lRZ1OfsrYTkCd2hkDnJTKRbO/Rl3orm8vlsUzbA==",
- "dev": true,
"requires": {
"source-map": "^0.5.6"
},
@@ -8372,16 +8144,14 @@
"source-map": {
"version": "0.5.7",
"resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
- "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w=",
- "dev": true
+ "integrity": "sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w="
}
}
},
"source-map-url": {
"version": "0.4.0",
"resolved": "https://registry.npmjs.org/source-map-url/-/source-map-url-0.4.0.tgz",
- "integrity": "sha1-PpNdfd1zYxuXZZlW1VEo6HtQhKM=",
- "dev": true
+ "integrity": "sha1-PpNdfd1zYxuXZZlW1VEo6HtQhKM="
},
"spdx-correct": {
"version": "3.1.0",
@@ -8496,7 +8266,6 @@
"version": "3.1.0",
"resolved": "https://registry.npmjs.org/split-string/-/split-string-3.1.0.tgz",
"integrity": "sha512-NzNVhJDYpwceVVii8/Hu6DKfD2G+NrQHlS/V/qgv763EYudVwEcMQNxd2lh+0VrUByXN/oJkl5grOhYWvQUYiw==",
- "dev": true,
"requires": {
"extend-shallow": "^3.0.0"
}
@@ -8524,7 +8293,6 @@
"version": "0.1.2",
"resolved": "https://registry.npmjs.org/static-extend/-/static-extend-0.1.2.tgz",
"integrity": "sha1-YICcOcv/VTNyJv1eC1IPNB8ftcY=",
- "dev": true,
"requires": {
"define-property": "^0.2.5",
"object-copy": "^0.1.0"
@@ -8534,7 +8302,6 @@
"version": "0.2.5",
"resolved": "https://registry.npmjs.org/define-property/-/define-property-0.2.5.tgz",
"integrity": "sha1-w1se+RjsPJkPmlvFe+BKrOxcgRY=",
- "dev": true,
"requires": {
"is-descriptor": "^0.1.0"
}
@@ -8628,7 +8395,6 @@
"version": "3.0.1",
"resolved": "http://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz",
"integrity": "sha1-ajhfuIU9lS1f8F0Oiq+UJ43GPc8=",
- "dev": true,
"requires": {
"ansi-regex": "^2.0.0"
}
@@ -8676,8 +8442,7 @@
"supports-color": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/supports-color/-/supports-color-2.0.0.tgz",
- "integrity": "sha1-U10EXOa2Nj+kARcIRimZXp3zJMc=",
- "dev": true
+ "integrity": "sha1-U10EXOa2Nj+kARcIRimZXp3zJMc="
},
"symbol-observable": {
"version": "1.2.0",
@@ -8852,14 +8617,12 @@
"to-fast-properties": {
"version": "1.0.3",
"resolved": "https://registry.npmjs.org/to-fast-properties/-/to-fast-properties-1.0.3.tgz",
- "integrity": "sha1-uDVx+k2MJbguIxsG46MFXeTKGkc=",
- "dev": true
+ "integrity": "sha1-uDVx+k2MJbguIxsG46MFXeTKGkc="
},
"to-object-path": {
"version": "0.3.0",
"resolved": "https://registry.npmjs.org/to-object-path/-/to-object-path-0.3.0.tgz",
"integrity": "sha1-KXWIt7Dn4KwI4E5nL4XB9JmeF68=",
- "dev": true,
"requires": {
"kind-of": "^3.0.2"
}
@@ -8868,7 +8631,6 @@
"version": "3.0.2",
"resolved": "https://registry.npmjs.org/to-regex/-/to-regex-3.0.2.tgz",
"integrity": "sha512-FWtleNAtZ/Ki2qtqej2CXTOayOH9bHDQF+Q48VpWyDXjbYxA4Yz8iDB31zXOBUlOHHKidDbqGVrTUvQMPmBGBw==",
- "dev": true,
"requires": {
"define-property": "^2.0.2",
"extend-shallow": "^3.0.2",
@@ -8880,7 +8642,6 @@
"version": "2.1.1",
"resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-2.1.1.tgz",
"integrity": "sha1-fIDBe53+vlmeJzZ+DU3VWQFB2zg=",
- "dev": true,
"requires": {
"is-number": "^3.0.0",
"repeat-string": "^1.6.1"
@@ -8890,7 +8651,6 @@
"version": "3.0.0",
"resolved": "https://registry.npmjs.org/is-number/-/is-number-3.0.0.tgz",
"integrity": "sha1-JP1iAaR4LPUFYcgQJ2r8fRLXEZU=",
- "dev": true,
"requires": {
"kind-of": "^3.0.2"
}
@@ -8906,8 +8666,7 @@
"trim-right": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/trim-right/-/trim-right-1.0.1.tgz",
- "integrity": "sha1-yy4SAwZ+DI3h9hQJS5/kVwTqYAM=",
- "dev": true
+ "integrity": "sha1-yy4SAwZ+DI3h9hQJS5/kVwTqYAM="
},
"tty-browserify": {
"version": "0.0.0",
@@ -9133,7 +8892,6 @@
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/union-value/-/union-value-1.0.0.tgz",
"integrity": "sha1-XHHDTLW61dzr4+oM0IIHulqhrqQ=",
- "dev": true,
"requires": {
"arr-union": "^3.1.0",
"get-value": "^2.0.6",
@@ -9145,7 +8903,6 @@
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/extend-shallow/-/extend-shallow-2.0.1.tgz",
"integrity": "sha1-Ua99YUrZqfYQ6huvu5idaxxWiQ8=",
- "dev": true,
"requires": {
"is-extendable": "^0.1.0"
}
@@ -9154,7 +8911,6 @@
"version": "0.4.3",
"resolved": "https://registry.npmjs.org/set-value/-/set-value-0.4.3.tgz",
"integrity": "sha1-fbCPnT0i3H945Trzw79GZuzfzPE=",
- "dev": true,
"requires": {
"extend-shallow": "^2.0.1",
"is-extendable": "^0.1.1",
@@ -9190,7 +8946,6 @@
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/unset-value/-/unset-value-1.0.0.tgz",
"integrity": "sha1-g3aHP30jNRef+x5vw6jtDfyKtVk=",
- "dev": true,
"requires": {
"has-value": "^0.3.1",
"isobject": "^3.0.0"
@@ -9200,7 +8955,6 @@
"version": "0.3.1",
"resolved": "https://registry.npmjs.org/has-value/-/has-value-0.3.1.tgz",
"integrity": "sha1-ex9YutpiyoJ+wKIHgCVlSEWZXh8=",
- "dev": true,
"requires": {
"get-value": "^2.0.3",
"has-values": "^0.1.4",
@@ -9211,7 +8965,6 @@
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/isobject/-/isobject-2.1.0.tgz",
"integrity": "sha1-8GVWEJaj8dou9GJy+BXIQNh+DIk=",
- "dev": true,
"requires": {
"isarray": "1.0.0"
}
@@ -9221,14 +8974,12 @@
"has-values": {
"version": "0.1.4",
"resolved": "https://registry.npmjs.org/has-values/-/has-values-0.1.4.tgz",
- "integrity": "sha1-bWHeldkd/Km5oCCJrThL/49it3E=",
- "dev": true
+ "integrity": "sha1-bWHeldkd/Km5oCCJrThL/49it3E="
},
"isobject": {
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/isobject/-/isobject-3.0.1.tgz",
- "integrity": "sha1-TkMekrEalzFjaqH5yNHMvP2reN8=",
- "dev": true
+ "integrity": "sha1-TkMekrEalzFjaqH5yNHMvP2reN8="
}
}
},
@@ -9262,8 +9013,7 @@
"urix": {
"version": "0.1.0",
"resolved": "https://registry.npmjs.org/urix/-/urix-0.1.0.tgz",
- "integrity": "sha1-2pN/emLiH+wf0Y1Js1wpNQZ6bHI=",
- "dev": true
+ "integrity": "sha1-2pN/emLiH+wf0Y1Js1wpNQZ6bHI="
},
"url": {
"version": "0.10.3",
@@ -9287,14 +9037,12 @@
"use": {
"version": "3.1.1",
"resolved": "https://registry.npmjs.org/use/-/use-3.1.1.tgz",
- "integrity": "sha512-cwESVXlO3url9YWlFW/TA9cshCEhtu7IKJ/p5soJ/gGpj7vbvFrAY/eIioQ6Dw23KjZhYgiIo8HOs1nQ2vr/oQ==",
- "dev": true
+ "integrity": "sha512-cwESVXlO3url9YWlFW/TA9cshCEhtu7IKJ/p5soJ/gGpj7vbvFrAY/eIioQ6Dw23KjZhYgiIo8HOs1nQ2vr/oQ=="
},
"user-home": {
"version": "1.1.1",
"resolved": "https://registry.npmjs.org/user-home/-/user-home-1.1.1.tgz",
- "integrity": "sha1-K1viOjK2Onyd640PKNSFcko98ZA=",
- "dev": true
+ "integrity": "sha1-K1viOjK2Onyd640PKNSFcko98ZA="
},
"util": {
"version": "0.10.4",
@@ -9347,7 +9095,6 @@
"version": "2.1.1",
"resolved": "https://registry.npmjs.org/v8flags/-/v8flags-2.1.1.tgz",
"integrity": "sha1-qrGh+jDUX4jdMhFIh1rALAtV5bQ=",
- "dev": true,
"requires": {
"user-home": "^1.1.1"
}
diff --git a/package.json b/package.json
index d8fce4c3..945e4e1e 100644
--- a/package.json
+++ b/package.json
@@ -46,6 +46,7 @@
"preact-compat": "^3.18.4",
"prop-types": "^15.6.1",
"react": "^16.3.0",
+ "react-c3js": "^0.1.20",
"react-dom": "^16.3.0",
"react-hot-loader": "^4.3.0",
"react-redux": "^5.0.7",
@@ -63,7 +64,7 @@
"three.textsprite": "^18.10.24"
},
"devDependencies": {
- "babel-cli": "^6.24.1",
+ "babel-cli": "^6.26.0",
"babel-core": "^6.24.1",
"babel-eslint": "^8.2.2",
"babel-loader": "^7.0.0",
diff --git a/scraper/s2-final-report.py b/scraper/s2-final-report.py
index ec4ad25b..123dd201 100644
--- a/scraper/s2-final-report.py
+++ b/scraper/s2-final-report.py
@@ -23,6 +23,13 @@ def s2_final_report():
if 'ft_share' in item['dataset'] and item['dataset']['ft_share'] == 'Y':
items.append((item,))
parallelize(process_paper, items)
+ # key name_short name_full purpose url
+ # wild indoor outdoor campus cyberspace parent
+ # child source usernames names year_start year_end year_published
+ # ongoing images videos identities img_per_person num_cameras
+ # faces_persons female male landmarks width height color gray
+ # derivative_of tags size_gb agreement
+ # citations_count
subprocess.call([
"s3cmd", "put", "-P", "--recursive",
DIR_PUBLIC_CITATIONS + '/',
diff --git a/scraper/s2-geocode-spreadsheet.py b/scraper/s2-geocode-spreadsheet.py
index 375c8fde..32d7c669 100644
--- a/scraper/s2-geocode-spreadsheet.py
+++ b/scraper/s2-geocode-spreadsheet.py
@@ -38,7 +38,8 @@ def s2_geocode_spreadsheet():
if (i % 1000) == 0:
print("{}...".format(i))
if row[1] in seen:
- continue
+ pass
+ # continue
seen[row[1]] = True
hit_api = s2_geocode_row(i, row)
if hit_api:
diff --git a/site/assets/css/applets.css b/site/assets/css/applets.css
index d3ca75c0..cbd9f825 100644
--- a/site/assets/css/applets.css
+++ b/site/assets/css/applets.css
@@ -3,6 +3,9 @@
.applet_container {
min-height: 340px;
}
+.applet_container.autosize {
+ min-height: 0;
+}
.applet {
margin-bottom: 40px;
transition: opacity 0.2s cubic-bezier(0,0,1,1);
diff --git a/site/assets/css/css.css b/site/assets/css/css.css
index bfb35260..675c6571 100644
--- a/site/assets/css/css.css
+++ b/site/assets/css/css.css
@@ -628,13 +628,14 @@ section.fullwidth .image {
padding: 10px;
color: white;
font-weight: 400;
- font-family: 'Roboto'
+ font-family: 'Roboto';
+ position: relative;
}
-.desktop .content .dataset-list a{
- border:none;
+.desktop .content .dataset-list a {
+ border: none;
}
.dataset-list a:hover{
- border:none;
+ border: none;
}
.dataset-list a:nth-child(3n+1) { background-color: rgba(255, 0, 0, 0.1); }
.desktop .dataset-list a:nth-child(3n+1):hover { background-color: rgba(255, 0, 0, 0.2); }
@@ -650,6 +651,57 @@ section.fullwidth .image {
background-color: #181818;
box-decoration-break: clone;
}
+.dataset-list .title {
+ margin-bottom: 10px;
+}
+.dataset-list .fields {
+ display: block;
+ position: absolute;
+ bottom: 0px;
+ left: 10px;
+ font-size: 12px;
+}
+.dataset-list .fields div {
+ display: none;
+}
+.dataset-list .fields div.visible {
+ display: block;
+ margin-bottom: 10px;
+}
+.dataset-list .sort-options {
+ margin: 0;
+ padding: 0;
+}
+.dataset-list .sort-options:before {
+ content: 'Browse list by ';
+ opacity: 0.7;
+ margin-right: 0px;
+}
+.dataset-list .sort-options li {
+ display: inline-block;
+ margin: 0;
+ padding: 0;
+ cursor: pointer;
+ margin-right: 20px;
+}
+.dataset-list .sort-options li:before {
+ content: '_';
+ opacity: 0;
+ margin-right: 10px;
+}
+.dataset-list .sort-options li.active {
+ border-bottom: 1px solid;
+}
+.dataset-list .sort-options li.active:before {
+ content: '>';
+ opacity: 1;
+ margin-right: 10px;
+}
+.dataset_list .applet {
+ margin-bottom: 15px;
+}
+
+
/* intro section for datasets */
@@ -738,14 +790,22 @@ page-specific formatting
margin-right: 10px;
padding-top:4px;
}
-.map-legend-item .edu {
- color: #f2f293;
+.map-legend-item:before {
+ content: '';
+ display: inline-block;
+ width: 4px;
+ height: 4px;
+ margin-bottom: 3px;
+ margin-right: 6px;
+}
+.map-legend-item.edu:before {
+ background-color: #f2f293;
}
-.map-legend-item .com {
- color: #3264f6;
+.map-legend-item.com:before {
+ background-color: #3264f6;
}
-.map-legend-item .gov {
- color: #f30000;
+.map-legend-item.gov:before {
+ background-color: #f30000;
}
/* about */
diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
index 744b2e65..83c30be8 100644
--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -2,10 +2,11 @@
status: published
title: Brainwash
-desc: <span style="color:#ffaa00">Brainwash</span> is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms
+desc: Brainwash is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms
subdesc: Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe"
slug: brainwash
cssclass: dataset
+color: #ffaa00
image: assets/background.jpg
published: 2019-2-23
updated: 2019-2-23
diff --git a/site/content/pages/datasets/index.md b/site/content/pages/datasets/index.md
index 30fca496..13e45b49 100644
--- a/site/content/pages/datasets/index.md
+++ b/site/content/pages/datasets/index.md
@@ -13,4 +13,4 @@ sync: false
# Facial Recognition Datasets
-[add text, make sortable] This is a list of all the facial recognition datasets \ No newline at end of file
+### Case Studies
diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md
index 80e30ab3..7ccbfb0b 100644
--- a/site/content/pages/datasets/lfw/index.md
+++ b/site/content/pages/datasets/lfw/index.md
@@ -2,10 +2,11 @@
status: published
title: Labeled Faces in The Wild
-desc: <span style="color:#ff0000">Labeled Faces in The Wild (LFW)</span> is a database of face photographs designed for studying the problem of unconstrained face recognition.
+desc: Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition.
subdesc: It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004.
image: assets/background.jpg
slug: lfw
+color: #ff0000
published: 2019-2-23
updated: 2019-2-23
authors: Adam Harvey
diff --git a/site/content/pages/test/chart.md b/site/content/pages/test/chart.md
new file mode 100644
index 00000000..e29410a7
--- /dev/null
+++ b/site/content/pages/test/chart.md
@@ -0,0 +1,19 @@
+------------
+
+status: published
+title: Chart
+desc: Chart Test
+slug: chart-test
+published: 2018-12-04
+updated: 2018-12-04
+authors: Megapixels
+
+------------
+
+# Chart
+
+### [&larr; Back to test index](/test/)
+
+```
+chart lfw
+```
diff --git a/site/content/pages/test/index.md b/site/content/pages/test/index.md
index 01a00d34..7d77c3d4 100644
--- a/site/content/pages/test/index.md
+++ b/site/content/pages/test/index.md
@@ -19,4 +19,5 @@ authors: Megapixels
- [Citation map](/test/map/index.html)
- [Face search](/test/face_search/index.html)
- [Name search](/test/name_search/index.html)
+- [Chart](/test/chart/index.html)
- [Modal image gallery](/test/gallery/index.html)
diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html
index 94a5e395..33a10dde 100644
--- a/site/public/datasets/brainwash/index.html
+++ b/site/public/datasets/brainwash/index.html
@@ -4,7 +4,7 @@
<title>MegaPixels</title>
<meta charset="utf-8" />
<meta name="author" content="Adam Harvey" />
- <meta name="description" content="<span style="color:#ffaa00">Brainwash</span> is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms" />
+ <meta name="description" content="Brainwash is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms" />
<meta name="referrer" content="no-referrer" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
<link rel='stylesheet' href='/assets/css/fonts.css' />
@@ -27,39 +27,19 @@
</header>
<div class="content content-dataset">
- <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span style="color:#ffaa00">Brainwash</span> is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms</span></div><div class='hero_subdesc'><span class='bgpad'>Brainwash dataset includes 11,918 images of people getting coffee at the Brainwash cafe during 2014
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Collected</div><div>2014</div></div><div><div class='gray'>Published</div><div>2015</div></div><div><div class='gray'>Images</div><div>11,917</div></div><div><div class='gray'>Faces</div><div>91,146</div></div><div><div class='gray'>Created by</div><div>Stanford Department of Computer Science</div></div><div><div class='gray'>Funded by</div><div>Max Planck Center for Visual Computing and Communication</div></div><div><div class='gray'>Resolution</div><div>640x480px</div></div><div><div class='gray'>Origin</div><div>Brainwash Cafe, San Franscisco</div></div><div><div class='gray'>Purpose</div><div>Training face detection</div></div><div><div class='gray'>Website</div><div><a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">stanford.edu</a></div></div></div><ul>
-<li>more info1</li>
-<li>more info2</li>
-<li>more info3</li>
-</ul>
-</div><h2>Brainwash Dataset</h2>
-<p><em>Brainwash</em> is a face detection dataset created from the Brainwash Cafe's livecam footage. The stream is It was published in 2015 by researchers at the Stanford University and has been used 1122 Folsom Street​ | USA</p>
-<p>The photos were collected on</p>
-<ul>
-<li>Oct 27, 2014</li>
-<li>Nov 11, 2014</li>
-<li>Nov 245, 2017</li>
-</ul>
-<p>Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos, qui ratione voluptatem sequi nesciunt, neque porro quisquam est, qui dolorem ipsum, quia dolor sit amet consectetur adipisci[ng] velit, sed quia non-numquam [do] eius modi tempora inci[di]dunt, ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam.</p>
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/00425000_960.jpg' alt=' An sample image from the Brainwash dataset used for training face detection algorithms for surveillance. The datset contains over 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> An sample image from the Brainwash dataset used for training face detection algorithms for surveillance. The datset contains over 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section><p>porro quisquam est, qui dolorem ipsum, quia dolor sit amet consectetur adipisci[ng] velit, sed quia non-numquam [do] eius modi tempora inci[di]dunt, ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum[d] exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit, qui in ea voluptate velit esse, quam nihil molestiae consequatur, vel illum, qui dolorem eum fugiat, quo voluptas nulla pariatur?</p>
-</section><section> <h3>Biometric Trade Routes</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">&#9632;</span> Industry</li> <li><span style="color: #f30000">&#9632;</span> Academic</li> <li><span style="color: #3264f6">&#9632;</span> Government</li> </ul> </div> --> <p> To understand how this dataset has been used, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research.</a>. </p> </section><section class="applet_container"> <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div></section><div class="caption"> <div class="map-legend-item"><span class="edu">&#9632;</span> Academic</div> <div class="map-legend-item"><span class="com">&#9632;</span> Industry</div> <div class="map-legend-item"><span class="gov">&#9632;</span> Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a></div><section><p>A short analysis of the map information</p>
-</section><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p>Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV</p> <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div></section><section><p>RESEARCH below this line</p>
-<p>The file is 4.1GB</p>
+ <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span style='color: #ffaa00'>Brainwash</span> is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms</span></div><div class='hero_subdesc'><span class='bgpad'>Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe"
+</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Collected</div><div>2014</div></div><div><div class='gray'>Published</div><div>2015</div></div><div><div class='gray'>Images</div><div>11,918</div></div><div><div class='gray'>Faces</div><div>91,146</div></div><div><div class='gray'>Created by</div><div>Stanford Department of Computer Science</div></div><div><div class='gray'>Funded by</div><div>Max Planck Center for Visual Computing and Communication</div></div><div><div class='gray'>Resolution</div><div>640x480px</div></div><div><div class='gray'>Size</div><div>4.1GB</div></div><div><div class='gray'>Origin</div><div>Brainwash Cafe, San Franscisco</div></div><div><div class='gray'>Purpose</div><div>Training face detection</div></div><div><div class='gray'>Website</div><div><a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">stanford.edu</a></div></div><div><div class='gray'>Paper</div><div><a href="http://arxiv.org/abs/1506.04878">End-to-End People Detection in Crowded Scenes</a></div></div></div></div><h2>Brainwash Dataset</h2>
+<p><em>Brainwash</em> is a face detection dataset created from the Brainwash Cafe's livecam footage including 11,918 images of "everyday life of a busy downtown cafe<a class="footnote_shim" name="[^readme]_1"> </a><a href="#[^readme]" class="footnote" title="Footnote 1">1</a>". The images are used to develop face detection algorithms for the "challenging task of detecting people in crowded scenes" and tracking them.</p>
+<p>Before closing in 2017, Brainwash Cafe was a "cafe and laundromat" located in San Francisco's SoMA district. The cafe published a publicy available livestream from the cafe with a view of the cash register, performance stage, and seating area.</p>
+<p>Since it's publication by Stanford in 2015, the Brainwash dataset has appeared in several notable research papers. In September 2016 four researchers from the National University of Defense Technology in Changsha, China used the Brainwash dataset for a research study on "people head detection in crowded scenes", concluding that their algorithm "achieves superior head detection performance on the crowded scenes dataset<a class="footnote_shim" name="[^localized_region_context]_1"> </a><a href="#[^localized_region_context]" class="footnote" title="Footnote 2">2</a>". And again in 2017 three researchers at the National University of Defense Technology used Brainwash for a study on object detection noting "the data set used in our experiment is shown in Table 1, which includes one scene of the brainwash dataset<a class="footnote_shim" name="[^replacement_algorithm]_1"> </a><a href="#[^replacement_algorithm]" class="footnote" title="Footnote 3">3</a>".</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/00425000_960.jpg' alt=' An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_montage.jpg' alt=' 49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> 49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section> <h3>Information Supply Chain</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">&#9632;</span> Industry</li> <li><span style="color: #f30000">&#9632;</span> Academic</li> <li><span style="color: #3264f6">&#9632;</span> Government</li> </ul> </div> --> <p> To understand how and where this dataset has been used, organizations using the dataset are plotted below. The data is generated by collecting all citations for all the original research papers associated with the dataset. The PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, <span style="color:#ff8a72">not all organizations have been confirmed as using the dataset</span>. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. </p> </section><section class="applet_container"> <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div></section><div class="caption"> <div class="map-legend-item edu">Academic</div> <div class="map-legend-item com">Industry</div> <div class="map-legend-item gov">Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.</div><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p>Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV</p> <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div></section><section><h3>Additional Information</h3>
<ul>
-<li>add sha256 hash</li>
-<li>the images were taken from Dropcam which was runnign on <a href="https://www.angelcam.com/">https://www.angelcam.com/</a> "Angelcam’s Real-time Surveillance takes the weight of keeping your home or business secure off your shoulders."</li>
+<li>The dataset author spoke about his research at the CVPR conference in 2016 <a href="https://www.youtube.com/watch?v=Nl2fBKxwusQ">https://www.youtube.com/watch?v=Nl2fBKxwusQ</a></li>
</ul>
-<blockquote><p>This package contains the "Brainwash" dataset. The dataset consists of images capturing the everyday life of a busy downtown cafe and is split into the following subsets:
-training set: 10769 with 81975 annotated people
-validation set: 500 images with 3318 annotated people
-test set: 500 images with 5007 annotated people</p>
-<p>Bounding box annotations are provided in a simple text file format. Each line in the file contains
-image name followed by the list of annotation rectangles in the [xmin, ymin, max, ymax] format.</p>
-<p>We refer to the following arXiv submission for details on the dataset and the evaluation procedure:</p>
-</blockquote>
-<p><a href="http://arxiv.org/abs/1506.04878">http://arxiv.org/abs/1506.04878</a></p>
-</section>
+</section><section><ul class="footnotes"><li><a name="[^readme]" class="footnote_shim"></a><span class="backlinks"><a href="#[^readme]_1">a</a></span><p>"readme.txt" <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">https://exhibits.stanford.edu/data/catalog/sx925dc9385</a>.</p>
+</li><li><a name="[^localized_region_context]" class="footnote_shim"></a><span class="backlinks"><a href="#[^localized_region_context]_1">a</a></span><p>Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598.</p>
+</li><li><a name="[^replacement_algorithm]" class="footnote_shim"></a><span class="backlinks"><a href="#[^replacement_algorithm]_1">a</a></span><p>Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.</p>
+</li></ul></section>
</div>
<footer>
diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html
index 313ed91e..d072ac3a 100644
--- a/site/public/datasets/index.html
+++ b/site/public/datasets/index.html
@@ -29,28 +29,48 @@
<section><h1>Facial Recognition Datasets</h1>
-<p>[add text, make sortable] This is a list of all the facial recognition datasets</p>
+<h3>Case Studies</h3>
</section>
+ <section class='applet_container autosize'><div class='applet' data-payload='{"command":"dataset_list"}'></div></section>
+
<section class='wide dataset-intro'>
<div class="dataset-list">
<a href="/datasets/brainwash/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/index.jpg)">
<div class="dataset">
- <span>Brainwash</span>
+ <span class='title'>Brainwash</span>
+ <div class='fields'>
+ <div class='year visible'><span>2015</span></div>
+ <div class='purpose'><span>Decoding image into set of people detections.</span></div>
+ <div class='images'><span>11,917 images</span></div>
+ <div class='identities'><span></span></div>
+ </div>
</div>
</a>
<a href="/datasets/cofw/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/cofw/assets/index.jpg)">
<div class="dataset">
- <span>Caltech Occluded Faces in The Wild</span>
+ <span class='title'>Caltech Occluded Faces in The Wild</span>
+ <div class='fields'>
+ <div class='year visible'><span>2013</span></div>
+ <div class='purpose'><span>challenging dataset (sunglasses, hats, interaction with objects), supported by IARPA</span></div>
+ <div class='images'><span>1,007 images</span></div>
+ <div class='identities'><span></span></div>
+ </div>
</div>
</a>
<a href="/datasets/lfw/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/index.jpg)">
<div class="dataset">
- <span>Labeled Faces in The Wild</span>
+ <span class='title'>Labeled Faces in The Wild</span>
+ <div class='fields'>
+ <div class='year visible'><span>2007</span></div>
+ <div class='purpose'><span>face recognition</span></div>
+ <div class='images'><span>13,233 images</span></div>
+ <div class='identities'><span>5,749 </span></div>
+ </div>
</div>
</a>
diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html
index 3c7fd45f..f224e345 100644
--- a/site/public/datasets/lfw/index.html
+++ b/site/public/datasets/lfw/index.html
@@ -4,7 +4,7 @@
<title>MegaPixels</title>
<meta charset="utf-8" />
<meta name="author" content="Adam Harvey" />
- <meta name="description" content="<span style="color:#ff0000">Labeled Faces in The Wild (LFW)</span> is a database of face photographs designed for studying the problem of unconstrained face recognition." />
+ <meta name="description" content="Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition." />
<meta name="referrer" content="no-referrer" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
<link rel='stylesheet' href='/assets/css/fonts.css' />
@@ -27,7 +27,7 @@
</header>
<div class="content content-">
- <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span style="color:#ff0000">Labeled Faces in The Wild (LFW)</span> is a database of face photographs designed for studying the problem of unconstrained face recognition.</span></div><div class='hero_subdesc'><span class='bgpad'>It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004.
+ <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span style='color: #ff0000'>Labeled Faces in The Wild</span> (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition.</span></div><div class='hero_subdesc'><span class='bgpad'>It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004.
</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Created</div><div>2002 &ndash; 2004</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>Identities</div><div>5,749</div></div><div><div class='gray'>Origin</div><div>Yahoo! News Images</div></div><div><div class='gray'>Used by</div><div>Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA</div></div><div><div class='gray'>Website</div><div><a href="http://vis-www.cs.umass.edu/lfw">umass.edu</a></div></div></div><ul>
<li>There are about 3 men for every 1 woman in the LFW dataset<a class="footnote_shim" name="[^lfw_www]_1"> </a><a href="#[^lfw_www]" class="footnote" title="Footnote 1">1</a></li>
<li>The person with the most images is <a href="http://vis-www.cs.umass.edu/lfw/person/George_W_Bush_comp.html">George W. Bush</a> with 530</li>
@@ -44,8 +44,7 @@
<p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_montage_all_crop.jpg' alt='All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person'><div class='caption'>All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person</div></div></section><section><p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
<p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
-</section><section> <h3>Biometric Trade Routes</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">&#9632;</span> Industry</li> <li><span style="color: #f30000">&#9632;</span> Academic</li> <li><span style="color: #3264f6">&#9632;</span> Government</li> </ul> </div> --> <p> To understand how this dataset has been used, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research.</a>. </p> </section><section class="applet_container"> <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div></section><div class="caption"> <div class="map-legend-item"><span class="edu">&#9632;</span> Academic</div> <div class="map-legend-item"><span class="com">&#9632;</span> Industry</div> <div class="map-legend-item"><span class="gov">&#9632;</span> Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a></div><section><p>Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut odit aut fugit, sed quia.</p>
-</section><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p>Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV</p> <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div></section><section><h3>Commercial Use</h3>
+</section><section> <h3>Information Supply Chain</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">&#9632;</span> Industry</li> <li><span style="color: #f30000">&#9632;</span> Academic</li> <li><span style="color: #3264f6">&#9632;</span> Government</li> </ul> </div> --> <p> To understand how and where this dataset has been used, organizations using the dataset are plotted below. The data is generated by collecting all citations for all the original research papers associated with the dataset. The PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, <span style="color:#ff8a72">not all organizations have been confirmed as using the dataset</span>. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. </p> </section><section class="applet_container"> <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div></section><div class="caption"> <div class="map-legend-item edu">Academic</div> <div class="map-legend-item com">Industry</div> <div class="map-legend-item gov">Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.</div><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p>Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV</p> <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div></section><section><h3>Commercial Use</h3>
<p>Add a paragraph about how usage extends far beyond academia into research centers for largest companies in the world. And even funnels into CIA funded research in the US and defense industry usage in China.</p>
</section><section class='applet_container'><div class='applet' data-payload='{"command": "load_file assets/lfw_commercial_use.csv", "fields": ["name_display, company_url, example_url, country, description"]}'></div></section><section><p>Research, text, and graphics ©Adam Harvey / megapixels.cc</p>
</section><section><ul class="footnotes"><li><a name="[^lfw_www]" class="footnote_shim"></a><span class="backlinks"><a href="#[^lfw_www]_1">a</a><a href="#[^lfw_www]_2">b</a></span><p><a href="http://vis-www.cs.umass.edu/lfw/results.html">http://vis-www.cs.umass.edu/lfw/results.html</a></p>
diff --git a/site/public/test/chart/index.html b/site/public/test/chart/index.html
new file mode 100644
index 00000000..fce4dbe7
--- /dev/null
+++ b/site/public/test/chart/index.html
@@ -0,0 +1,52 @@
+<!doctype html>
+<html>
+<head>
+ <title>MegaPixels</title>
+ <meta charset="utf-8" />
+ <meta name="author" content="Megapixels" />
+ <meta name="description" content="Chart Test" />
+ <meta name="referrer" content="no-referrer" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+ <link rel='stylesheet' href='/assets/css/fonts.css' />
+ <link rel='stylesheet' href='/assets/css/tabulator.css' />
+ <link rel='stylesheet' href='/assets/css/css.css' />
+ <link rel='stylesheet' href='/assets/css/leaflet.css' />
+ <link rel='stylesheet' href='/assets/css/applets.css' />
+</head>
+<body>
+ <header>
+ <a class='slogan' href="/">
+ <div class='logo'></div>
+ <div class='site_name'>MegaPixels</div>
+ </a>
+ <div class='links'>
+ <a href="/datasets/">Datasets</a>
+ <a href="/research/">Research</a>
+ <a href="/about/">About</a>
+ </div>
+ </header>
+ <div class="content content-">
+
+ <section><h1>Chart</h1>
+<h3><a href="/test/">&larr; Back to test index</a></h3>
+</section><section class='applet_container'><div class='applet' data-payload='{"command": "chart lfw"}'></div></section>
+
+ </div>
+ <footer>
+ <div>
+ <a href="/">MegaPixels.cc</a>
+ <a href="/about/disclaimer/">Disclaimer</a>
+ <a href="/about/terms/">Terms of Use</a>
+ <a href="/about/privacy/">Privacy</a>
+ <a href="/about/">About</a>
+ <a href="/about/team/">Team</a>
+ </div>
+ <div>
+ MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
+ <a href="https://ahprojects.com">ahprojects.com</a>
+ </div>
+ </footer>
+</body>
+
+<script src="/assets/js/dist/index.js"></script>
+</html> \ No newline at end of file
diff --git a/site/public/test/index.html b/site/public/test/index.html
index 8dcaf0d3..5931f360 100644
--- a/site/public/test/index.html
+++ b/site/public/test/index.html
@@ -36,6 +36,7 @@
<li><a href="/test/map/index.html">Citation map</a></li>
<li><a href="/test/face_search/index.html">Face search</a></li>
<li><a href="/test/name_search/index.html">Name search</a></li>
+<li><a href="/test/chart/index.html">Chart</a></li>
<li><a href="/test/gallery/index.html">Modal image gallery</a></li>
</ul>
</section>
diff --git a/site/templates/datasets.html b/site/templates/datasets.html
index fc017e45..4e13ef79 100644
--- a/site/templates/datasets.html
+++ b/site/templates/datasets.html
@@ -4,13 +4,21 @@
{{ content }}
+ <section class='applet_container autosize'><div class='applet' data-payload='{"command":"dataset_list"}'></div></section>
+
<section class='wide dataset-intro'>
<div class="dataset-list">
{% for dataset in datasets %}
<a href="{{ dataset.url }}" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1{{ dataset.url }}assets/index.jpg)">
<div class="dataset">
- <span>{{ dataset.title }}</span>
+ <span class='title'>{{ dataset.title }}</span>
+ <div class='fields'>
+ <div class='year visible'><span>{{ dataset.meta.dataset.year_published }}</span></div>
+ <div class='purpose'><span>{{ dataset.meta.dataset.purpose }}</span></div>
+ <div class='images'><span>{{ dataset.meta.dataset.images }} images</span></div>
+ <div class='identities'><span>{{ dataset.meta.dataset.identities }}</span></div>
+ </div>
</div>
</a>
{% endfor %}
generated by cgit v1.2.3-70-g09d2 (git 2.51.0) at 2025-12-10 12:47:58 +0000