131 lines
3.3 KiB
Plaintext
131 lines
3.3 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"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",
|
|
"\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",
|
|
"source": [
|
|
"Img.putpixel((150, 150), (255, 0, 0))\n",
|
|
"Img.show()"
|
|
],
|
|
"execution_count": null,
|
|
"outputs": []
|
|
},
|
|
{
|
|
"metadata": {
|
|
"trusted": true
|
|
},
|
|
"cell_type": "code",
|
|
"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()"
|
|
],
|
|
"execution_count": null,
|
|
"outputs": []
|
|
},
|
|
{
|
|
"metadata": {
|
|
"trusted": true
|
|
},
|
|
"cell_type": "code",
|
|
"source": [
|
|
"for x in range(30):\n",
|
|
" for y in range(30):\n",
|
|
" rouge, vert, bleu = Img.getpixel((10*x, 10*y))\n",
|
|
" Img.putpixel((10*x, 10*y), (255-rouge, 255-vert, 255-bleu)) #mets la couleur rouge\n",
|
|
"Img.show()"
|
|
],
|
|
"execution_count": null,
|
|
"outputs": []
|
|
},
|
|
{
|
|
"metadata": {
|
|
"trusted": true
|
|
},
|
|
"cell_type": "code",
|
|
"source": [
|
|
"for x in range(626):\n",
|
|
" for y in range(626):\n",
|
|
" rouge, vert, bleu = Img.getpixel((x, y))\n",
|
|
" Img.putpixel((x, y), (255-rouge, 255-vert, 255-bleu)) # remplacer ici pour noir / blanc\n",
|
|
"Img.show()"
|
|
],
|
|
"execution_count": null,
|
|
"outputs": []
|
|
},
|
|
{
|
|
"metadata": {
|
|
"trusted": true
|
|
},
|
|
"cell_type": "code",
|
|
"source": [],
|
|
"execution_count": null,
|
|
"outputs": []
|
|
},
|
|
{
|
|
"metadata": {
|
|
"trusted": true
|
|
},
|
|
"cell_type": "code",
|
|
"source": [],
|
|
"execution_count": null,
|
|
"outputs": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"celltoolbar": "Pièces jointes"
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|