feat: Update notebook

This commit is contained in:
Louis Gallet 2024-02-13 19:24:31 +01:00
parent 6e1dcfc16d
commit 82932fa7ca
Signed by: lgallet
GPG Key ID: 84D3DF1528A84511

View File

@ -1,66 +1,78 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "initial_id",
"metadata": {
"collapsed": true
"metadata": {},
"cell_type": "markdown",
"source": [
"# Python manipulation image 1"
]
},
"outputs": [],
{
"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": {
"trusted": true
},
"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()"
],
"metadata": {
"collapsed": false
"execution_count": null,
"outputs": []
},
"id": "8907db31c8a6d1e4",
"execution_count": null
{
"metadata": {
"trusted": true
},
"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
}