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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make all the faces into one big image\n",
    "\n",
    "Having extracted [lots and lots of faces](Finding-all-the-faces-in-the-Tribune-collection.ipynb) from the Tribune photos, I thought I'd combine them in [one big image](https://easyzoom.com/image/127772)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import os\n",
    "from tqdm import tqdm_notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## One big image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Image dimensions and row length are determined by the number of images\n",
    "im = Image.new('RGB',(23400, 23450))\n",
    "row_size = 480\n",
    "y = 0\n",
    "x = 0\n",
    "for index, face in enumerate(tqdm_notebook([f for f in os.listdir('faces') if f[-4:] == '.jpg']), start=1):\n",
    "    face_img = Image.open(os.path.join('faces', face))\n",
    "    face_img.thumbnail((50, 50))\n",
    "    try:\n",
    "        im.paste(face_img, (x, y, x+50, y+50))\n",
    "    except ValueError:\n",
    "        print(face)\n",
    "    if (index % row_size) == 0:\n",
    "        x = 0\n",
    "        y += 50\n",
    "    else:\n",
    "        x += 50\n",
    "im.save('faces.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lots of big images for printing\n",
    "\n",
    "Creates A3/A4 sized images for easy printing. Perfect for a [pop-up exhibition](https://2018.exploringdigitalheritage.net/uncategorized/faces-of-the-tribune/)!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Image dimensions and row length are determined by the number of images\n",
    "# 595 x 842 pixels\n",
    "# 3480 on A4 - 70 x 49\n",
    "# 230,677 images\n",
    "cols = 70\n",
    "rows = 49\n",
    "# cols = 16\n",
    "# rows = 11\n",
    "faces_per_page = cols * rows\n",
    "number_of_pages = int(230677 / faces_per_page)\n",
    "\n",
    "faces = [f for f in os.listdir('faces') if f[-4:] == '.jpg']\n",
    "for page in range(0, number_of_pages):\n",
    "    y = 0\n",
    "    x = 0\n",
    "    im = Image.new('RGB', (cols*50, rows*50), 'white')\n",
    "    start = page * faces_per_page\n",
    "    for index, face in enumerate(tqdm_notebook(faces[start:start+faces_per_page]), start=1):\n",
    "        face_img = Image.open(os.path.join('faces', face))\n",
    "        face_img.thumbnail((50, 50))\n",
    "        try:\n",
    "            im.paste(face_img, (x, y, x+50, y+50))\n",
    "        except ValueError:\n",
    "            print(face)\n",
    "        if (index % cols) == 0:\n",
    "            x = 0\n",
    "            y += 50\n",
    "        else:\n",
    "            x += 50\n",
    "    im.save('faces-{}.jpg'.format(page))"
   ]
  }
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