const Canvas = require('canvas'); const { AttachmentBuilder } = require('discord.js') module.exports = { async execute(interaction){ const file = interaction.options.getAttachment('image'); if(!file.contentType.startsWith("image")) return interaction.reply({ content: "Merci d'envoyer une image", ephemeral: true }); await interaction.deferReply(); const filter = interaction.options.getString('filter'); const canvas = Canvas.createCanvas(500, 500); const ctx = canvas.getContext('2d'); const image = await Canvas.loadImage(file.url); ctx.drawImage(image, 0, 0, canvas.width, canvas.height); switch(filter){ case 'invert': applyInvertEffect(ctx); break; case 'grayscale': applyGrayscaleEffect(ctx); break; case 'sepia': applySepiaEffect(ctx); break; case 'blur': applyBlurEffect(ctx); break; } const remixedImageBuffer = canvas.toBuffer(); const remixedImageAttachment = new AttachmentBuilder(remixedImageBuffer, {name: 'image.png'} ); await interaction.editReply({content: `Voici l'image modifiée :`, files: [remixedImageAttachment]}); } } // Fonction pour appliquer l'effet d'inversion des couleurs function applyInvertEffect(ctx) { const imageData = ctx.getImageData(0, 0, ctx.canvas.width, ctx.canvas.height); const data = imageData.data; // Inversion des couleurs for (let i = 0; i < data.length; i += 4) { data[i] = 255 - data[i]; // Inversion du canal rouge data[i + 1] = 255 - data[i + 1]; // Inversion du canal vert data[i + 2] = 255 - data[i + 2]; // Inversion du canal bleu } ctx.putImageData(imageData, 0, 0); } // Fonction pour appliquer l'effet de conversion en niveaux de gris function applyGrayscaleEffect(ctx) { const imageData = ctx.getImageData(0, 0, ctx.canvas.width, ctx.canvas.height); const data = imageData.data; // Conversion en niveaux de gris for (let i = 0; i < data.length; i += 4) { const average = (data[i] + data[i + 1] + data[i + 2]) / 3; data[i] = average; // Rouge data[i + 1] = average; // Vert data[i + 2] = average; // Bleu } ctx.putImageData(imageData, 0, 0); } // Fonction pour appliquer l'effet de sépia function applySepiaEffect(ctx) { const imageData = ctx.getImageData(0, 0, ctx.canvas.width, ctx.canvas.height); const data = imageData.data; for (let i = 0; i < data.length; i += 4) { const r = data[i]; const g = data[i + 1]; const b = data[i + 2]; data[i] = Math.min(255, (r * 0.393) + (g * 0.769) + (b * 0.189)); data[i + 1] = Math.min(255, (r * 0.349) + (g * 0.686) + (b * 0.168)); data[i + 2] = Math.min(255, (r * 0.272) + (g * 0.534) + (b * 0.131)); } ctx.putImageData(imageData, 0, 0); } // Fonction pour appliquer l'effet de flou function applyBlurEffect(ctx) { const imageData = ctx.getImageData(0, 0, ctx.canvas.width, ctx.canvas.height); const data = imageData.data; const width = ctx.canvas.width; const height = ctx.canvas.height; const blurRadius = 5; for (let y = 0; y < height; y++) { for (let x = 0; x < width; x++) { let red = 0; let green = 0; let blue = 0; let count = 0; for (let dy = -blurRadius; dy <= blurRadius; dy++) { for (let dx = -blurRadius; dx <= blurRadius; dx++) { const nx = x + dx; const ny = y + dy; if (nx >= 0 && ny >= 0 && nx < width && ny < height) { const index = (ny * width + nx) * 4; red += data[index]; green += data[index + 1]; blue += data[index + 2]; count++; } } } const index = (y * width + x) * 4; data[index] = red / count; data[index + 1] = green / count; data[index + 2] = blue / count; } } ctx.putImageData(imageData, 0, 0); }