Merge branch 'master' of asdf.us:megapixels_dev

1 files changed, 214 insertions, 0 deletions

diff --git a/megapixels/notebooks/datasets/megaface/megapixels_age_nyt.ipynb b/megapixels/notebooks/datasets/megaface/megapixels_age_nyt.ipynb
new file mode 100644
index 00000000..b49bcc42
--- /dev/null
+++ b/megapixels/notebooks/datasets/megaface/megapixels_age_nyt.ipynb
@@ -0,0 +1,214 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from os.path import join\n",
+    "import sys\n",
+    "from pathlib import Path\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "from PIL import Image\n",
+    "import cv2 as cv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fp_attr = '/data_store_hdd/datasets/people/megaface/metadata/face_attributes.csv'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(fp_attr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "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>index</th>\n",
+       "      <th>age_apparent</th>\n",
+       "      <th>age_real</th>\n",
+       "      <th>f</th>\n",
+       "      <th>m</th>\n",
+       "      <th>roi_index</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>11.05</td>\n",
+       "      <td>18.63</td>\n",
+       "      <td>0.8155</td>\n",
+       "      <td>0.1845</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>28.59</td>\n",
+       "      <td>26.64</td>\n",
+       "      <td>0.0219</td>\n",
+       "      <td>0.9781</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>12.09</td>\n",
+       "      <td>19.08</td>\n",
+       "      <td>0.6808</td>\n",
+       "      <td>0.3192</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>39.36</td>\n",
+       "      <td>51.36</td>\n",
+       "      <td>0.9943</td>\n",
+       "      <td>0.0057</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>41.84</td>\n",
+       "      <td>52.25</td>\n",
+       "      <td>0.8226</td>\n",
+       "      <td>0.1774</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   index  age_apparent  age_real       f       m  roi_index\n",
+       "0      0         11.05     18.63  0.8155  0.1845          0\n",
+       "1      1         28.59     26.64  0.0219  0.9781          1\n",
+       "2      2         12.09     19.08  0.6808  0.3192          2\n",
+       "3      3         39.36     51.36  0.9943  0.0057          3\n",
+       "4      4         41.84     52.25  0.8226  0.1774          4"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Less than 21yr: 311,973 (apparent), 168,619 (real)\n",
+      "Less than 18yr: 175,628 (apparent), 53,602 (real)\n",
+      "Less than 12yr: 35,235 (apparent), 773 (real)\n",
+      "Less than 8yr: 1,488 (apparent), 0 (real)\n"
+     ]
+    }
+   ],
+   "source": [
+    "brackets = [21, 18, 12, 8]\n",
+    "for b in brackets:\n",
+    "  age_ap = len(df[df['age_apparent'] < b])\n",
+    "  age_real = len(df[df['age_real'] < b])\n",
+    "  print(f\"Less than {b}yr: {age_ap:,} (apparent), {age_real:,} (real)\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1559780"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(df)"
+   ]
+  },
+  {
+   "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
+}