From 82932fa7caf713f7d6d38715359505cc0e85341e Mon Sep 17 00:00:00 2001
From: Louis Gallet <me@louisgallet.fr>
Date: Tue, 13 Feb 2024 19:24:31 +0100
Subject: [PATCH] feat: :sparkles:  Update notebook

---
 TraitementImage/traitementImage.ipynb | 123 +++++++++++++++-----------
 1 file changed, 69 insertions(+), 54 deletions(-)

diff --git a/TraitementImage/traitementImage.ipynb b/TraitementImage/traitementImage.ipynb
index 1e487b4..a23b727 100644
--- a/TraitementImage/traitementImage.ipynb
+++ b/TraitementImage/traitementImage.ipynb
@@ -1,66 +1,78 @@
 {
  "cells": [
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "initial_id",
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "# Python manipulation image 1"
+   ]
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "# Avant de commencer\n",
+    "## README\n",
+    "Le contenu de cette case te permettra de te familiariser avec l'environnement Notebook et te montrer où cliquer pour effectuer des actions:\n",
+    "\n",
+    "## Importation des ressources\n",
+    "Clique sur l'icône avec le dossier en haut à gauche puis séléctionne l'image robot.jpeg que tu peux télécharger ci-dessous\n",
+    "\n",
+    "https://gitea.louisgallet.fr/lgallet/coursNSI/raw/commit/8cf68c3197a0c6d2219b3d56dbd6073158bf6ef9/TraitementImage/robot.jpeg\n",
+    "\n",
+    "Vidéo explicative : \n",
+    "\n",
+    "![Gif montrant l'importation](https://gitea.louisgallet.fr/lgallet/coursNSI/raw/branch/main/TraitementImage/importBasthon.gif)\n",
+    "\n",
+    "## Fonctionnement du Notebook\n",
+    "Pour executer le notebook, clique simplement sur la case executer, la barre bleu à gauche va se déplacer en bas à chaque execution, cette dernière montre la cellule qui va se faire executer. Si tu veux executer une cellule en particuler / en éditer une, clique (ou double clique) simplement dessus"
+   ]
+  },
+  {
    "metadata": {
-    "collapsed": true
+    "trusted": true
    },
-   "outputs": [],
+   "cell_type": "code",
    "source": [
     "from PIL import Image # Ouvrir le module PIP et import le package Image\n",
     "Img = Image.open(\"robot.jpeg\") # Assigne a la variable image l'image du robot\n",
     "rouge, vert, bleu = Img.getpixel((150, 200))\n",
     "print(rouge, vert, bleu)"
-   ]
+   ],
+   "execution_count": null,
+   "outputs": []
   },
   {
+   "metadata": {
+    "trusted": true
+   },
    "cell_type": "code",
-   "outputs": [],
    "source": [
     "Img.putpixel((150, 150), (255, 0, 0))\n",
     "Img.show()"
    ],
-   "metadata": {
-    "collapsed": false
-   },
-   "id": "25b5db5c47e1e11c",
-   "execution_count": null
+   "execution_count": null,
+   "outputs": []
   },
   {
-   "cell_type": "code",
-   "outputs": [],
-   "source": [
-    "for x in range(30):\n",
-    "    for y in range(30):\n",
-    "        rouge, vert, bleu = Img.getpixel((10*x, 10*y))\n",
-    "        print(rouge, vert, bleu)"
-   ],
    "metadata": {
-    "collapsed": false
+    "trusted": true
    },
-   "id": "ef62b99d1a7ad0ba",
-   "execution_count": null
-  },
-  {
    "cell_type": "code",
-   "outputs": [],
    "source": [
     "for x in range(30):\n",
     "    for y in range(30):\n",
     "       Img.putpixel((10*x, 10*y), (255, 0, 0)) #mets la couleur rouge\n",
     "Img.show()"
    ],
-   "metadata": {
-    "collapsed": false
-   },
-   "id": "b133149a00eff26",
-   "execution_count": null
+   "execution_count": null,
+   "outputs": []
   },
   {
+   "metadata": {
+    "trusted": true
+   },
    "cell_type": "code",
-   "outputs": [],
    "source": [
     "for x in range(30):\n",
     "    for y in range(30):\n",
@@ -68,15 +80,14 @@
     "       Img.putpixel((10*x, 10*y), (255-rouge, 255-vert, 255-bleu)) #mets la couleur rouge\n",
     "Img.show()"
    ],
-   "metadata": {
-    "collapsed": false
-   },
-   "id": "2ae2505aa4aff998",
-   "execution_count": null
+   "execution_count": null,
+   "outputs": []
   },
   {
+   "metadata": {
+    "trusted": true
+   },
    "cell_type": "code",
-   "outputs": [],
    "source": [
     "for x in range(626):\n",
     "    for y in range(626):\n",
@@ -84,11 +95,26 @@
     "       Img.putpixel((x, y), (255-rouge, 255-vert, 255-bleu)) # remplacer ici pour noir / blanc\n",
     "Img.show()"
    ],
+   "execution_count": null,
+   "outputs": []
+  },
+  {
    "metadata": {
-    "collapsed": false
+    "trusted": true
    },
-   "id": "8907db31c8a6d1e4",
-   "execution_count": null
+   "cell_type": "code",
+   "source": [],
+   "execution_count": null,
+   "outputs": []
+  },
+  {
+   "metadata": {
+    "trusted": true
+   },
+   "cell_type": "code",
+   "source": [],
+   "execution_count": null,
+   "outputs": []
   }
  ],
  "metadata": {
@@ -97,19 +123,8 @@
    "language": "python",
    "name": "python3"
   },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
-  }
+  "celltoolbar": "Pièces jointes"
  },
  "nbformat": 4,
- "nbformat_minor": 5
+ "nbformat_minor": 2
 }