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Tecnhical Document (by the 2022 team)/calcul_espace_stockage.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import scipy.signal as sig\n",
+    "from matplotlib import pyplot as plt #library to plot figures"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Calcul de l'espace nécessaire pour stocker les photos\n",
+    "\n",
+    "Temps : 4 mois\n",
+    "\n",
+    "Format : raw ou jpeg\n",
+    "\n",
+    "Résolutions existantes : 4608x3456, 3264x2448, 2336x1752"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "resL = [4608, 3456]\n",
+    "resM = [3264, 2448]\n",
+    "resS = [2336, 1752]\n",
+    "\n",
+    "type_res = [\"large\", \"medium\", \"small\"]\n",
+    "\n",
+    "res = [resL[0]*resL[1], resM[0]*resM[1], resS[0]*resS[1]]"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "En partant du principe que chaque canal R, G et B est codé sur 8 bits, on a donc 24 bits par pixel."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "nombre de bits d'une image (large) : 382205952 bits, soit 47775744.0 bytes\n",
+      "poids d'une image (large) : 45.5625 Mbytes\n",
+      "nombre de bits d'une image (medium) : 191766528 bits, soit 23970816.0 bytes\n",
+      "poids d'une image (medium) : 22.8603515625 Mbytes\n",
+      "nombre de bits d'une image (small) : 98224128 bits, soit 12278016.0 bytes\n",
+      "poids d'une image (small) : 11.709228515625 Mbytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "nbBitsImage = [res[0]*24, res[1]*24, res[2]*24] #nombre de bits dans une image\n",
+    "nbBitPixel = 24\n",
+    "\n",
+    "for i in range(len(nbBitsImage)):\n",
+    "    print(f\"nombre de bits d'une image ({type_res[i]}) : {nbBitsImage[i]} bits, soit {nbBitsImage[i]/8} bytes\")\n",
+    "    print(f\"poids d'une image ({type_res[i]}) : {(nbBitsImage[i]/8)/(1024*1024)} Mbytes\") "
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Sur le temps long, on doit prendre deux images par jour, et avoir une durée assez longue (environ 4 mois)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "espace nécessaire pour 4 mois sur une image de type large : 10.6787109375 Gigabytes\n",
+      "espace nécessaire pour 4 mois sur une image de type medium : 5.3578948974609375 Gigabytes\n",
+      "espace nécessaire pour 4 mois sur une image de type small : 2.7443504333496094 Gigabytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "T = 120 #nombre de jours dans 4 mois\n",
+    "\n",
+    "nbPhotos = T*2\n",
+    "espace = np.zeros(3)\n",
+    "\n",
+    "for i in range(3):\n",
+    "    espace[i] = ((nbBitsImage[i]/8)/(1024*1024)) * nbPhotos\n",
+    "\n",
+    "for i in range(3):\n",
+    "    print(f\"espace nécessaire pour 4 mois sur une image de type {type_res[i]} : {espace[i]/1024} Gigabytes\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
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+    "version": 3
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+   "file_extension": ".py",
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