autoformat
parent
f24047b33b
commit
c89080ff00
29
cli/main.ts
29
cli/main.ts
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@ -25,7 +25,7 @@ const args = parse(Deno.args, {
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include: "*.png, *.jpg",
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output: "collage.png",
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rl: 2,
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rr: false
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rr: false,
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},
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});
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@ -36,7 +36,7 @@ if (args["mode"] === true) {
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const files: Set<string> = new Set();
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const includeExtensions = Array.from(
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String(args["include"]).matchAll(/\*\.([\w]+)/g),
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String(args["include"]).matchAll(/\*\.([\w]+)/g)
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).map(([_, group]) => group);
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args["_"].forEach((arg) => {
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@ -48,7 +48,7 @@ args["_"].forEach((arg) => {
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includeDirs: false,
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includeFiles: true,
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exts: includeExtensions.length ? includeExtensions : undefined,
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}),
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})
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).forEach((entry) => files.add(entry.path));
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} else {
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files.add(arg);
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@ -64,7 +64,9 @@ const shuffledFiles = shuffle(Array.from(files));
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const images: ProxyImage[] = shuffledFiles.map((file) => new ProxyImage(file));
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const allModeKeys = args["mode"] ? parseDisplayCollageModes(args["mode"]) : displayCollageModeType;
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const allModeKeys = args["mode"]
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? parseDisplayCollageModes(args["mode"])
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: displayCollageModeType;
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const canvas = createCanvas(args["width"], args["height"]);
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const context = canvas.getContext("2d");
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@ -76,7 +78,7 @@ const modeKey: DisplayCollageModeType = choice(allModeKeys);
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if (modeKey === "recursive") {
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console.log(
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`Creating a recursive collage, choosing from ${shuffledFiles.length} files...`,
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`Creating a recursive collage, choosing from ${shuffledFiles.length} files...`
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);
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await denoCollageModes.recursiveDraw(context, images, {
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modes: args["rm"] ? parseCollageModes(args["rm"]) : collageModeType,
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@ -86,17 +88,18 @@ if (modeKey === "recursive") {
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} else {
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const mode = denoCollageModes.modes[modeKey];
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console.log(
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`Creating a "${mode.name}" collage, choosing from ${shuffledFiles.length} files...`,
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);
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const segments = mode.getSegments(
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context,
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collageConfig,
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images,
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`Creating a "${mode.name}" collage, choosing from ${shuffledFiles.length} files...`
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);
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const segments = mode.getSegments(context, collageConfig, images);
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mode.place(context, images, segments);
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console.log(`Used: ${images.slice(0, segments.length).map((img) => img.path).join(", ")}`)
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console.log(
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`Used: ${images
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.slice(0, segments.length)
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.map((img) => img.path)
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.join(", ")}`
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);
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}
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const output = args["output"];
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console.log(`Saving to "${output}"...`);
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await Deno.writeFile(output, canvas.toBuffer());
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await Deno.writeFile(output, canvas.toBuffer());
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@ -1,287 +1,397 @@
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import { CollageCanvas, CollageConfig, CollageContext, CollageImage, CollageMode, Segment } from "@/common/types";
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import {
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CollageCanvas,
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CollageConfig,
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CollageContext,
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CollageImage,
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CollageMode,
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Segment,
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} from "@/common/types";
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import { choice, randint, range, shuffle } from "@/common/utils";
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export const collageModeType = [
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"clean_grid", "chaos_grid",
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"row", "irow",
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"col", "icol",
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"concentric_factor", "concentric_spaced",
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"blend"
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"clean_grid",
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"chaos_grid",
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"row",
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"irow",
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"col",
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"icol",
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"concentric_factor",
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"concentric_spaced",
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"blend",
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] as const;
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export type CollageModeType = typeof collageModeType[number];
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export function isCollageModeType(value: string): value is CollageModeType {
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return (collageModeType as readonly string[]).includes(value);
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return (collageModeType as readonly string[]).includes(value);
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}
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export const displayCollageModeType = [...collageModeType, "recursive"] as const;
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export const displayCollageModeType = [
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...collageModeType,
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"recursive",
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] as const;
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export type DisplayCollageModeType = typeof displayCollageModeType[number];
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export function isDisplayCollageModeType(value: string): value is DisplayCollageModeType {
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return (displayCollageModeType as readonly string[]).includes(value);
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export function isDisplayCollageModeType(
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value: string
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): value is DisplayCollageModeType {
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return (displayCollageModeType as readonly string[]).includes(value);
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}
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export interface RecursiveCollageConfig {
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level: number;
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repeat: boolean;
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modes: readonly CollageModeType[]
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level: number;
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repeat: boolean;
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modes: readonly CollageModeType[];
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}
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export abstract class CollageModes<C extends CollageContext, I extends CollageImage, CS extends CollageCanvas> {
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readonly modes: { [key in CollageModeType]: CollageMode<C, I> } = {
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"clean_grid": {
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name: "Clean Grid",
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minImages: 4,
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forceConfig: {
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numImages: 4
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},
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getSegments: this.getGridSegments,
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place: this.cleanPlace.bind(this)
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},
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"chaos_grid": {
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name: "Irregular Grid",
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minImages: 4,
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forceConfig: {
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numImages: 4
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},
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getSegments: this.getGridSegments,
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place: (ctx, images, segments) => {
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const shuffledImages = shuffle(images);
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shuffle(segments.map((segment, idx) => [segment, idx] as [Segment, number]))
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.forEach(([segment, idx]) => {
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const image = shuffledImages[idx];
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const scaleRatio = Math.max(segment.w / image.width, segment.h / image.height);
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this.drawImage(ctx, image, 0, 0, image.width, image.height,
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segment.x - (image.width * scaleRatio / 2), segment.y - (image.height * scaleRatio / 2),
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image.width * scaleRatio, image.height * scaleRatio);
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});
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},
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},
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"row": {
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name: "Regular Row",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(images?.length || Infinity, config?.numImages || randint(4) + 2);
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const segmentSize = [ctx.canvas.width / numImages, ctx.canvas.height];
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return range(numImages).map((idx) => {
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return {
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x: idx * segmentSize[0] + segmentSize[0] / 2,
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y: segmentSize[1] / 2,
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w: segmentSize[0],
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h: segmentSize[1]
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};
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});
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},
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place: this.cleanPlace.bind(this)
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},
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"irow": {
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name: "Irregular Row",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(images?.length || Infinity, config?.numImages || randint(4) + 2);
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const segmentSize = [ctx.canvas.width / numImages, ctx.canvas.height];
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return range(numImages).map((idx) => {
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const irregularWidth = images ?
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segmentSize[0] + Math.random() * ((segmentSize[1] / images[idx].height * images[idx].width) - segmentSize[0]) :
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segmentSize[0] + Math.random() * segmentSize[0] * .5;
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return {
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x: idx * segmentSize[0] + segmentSize[0] / 2,
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y: segmentSize[1] / 2,
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w: Math.min(ctx.canvas.width / 2, irregularWidth),
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h: segmentSize[1],
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};
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});
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},
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place: this.cleanPlace.bind(this)
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},
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"col": {
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name: "Regular Column",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(images?.length || Infinity, config?.numImages || randint(4) + 2);
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const segmentSize = [ctx.canvas.width, ctx.canvas.height / numImages];
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return range(numImages).map((idx) => {
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return {
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x: segmentSize[0] / 2,
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y: idx * segmentSize[1] + segmentSize[1] / 2,
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w: segmentSize[0],
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h: segmentSize[1]
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};
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});
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},
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place: this.cleanPlace.bind(this)
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},
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"icol": {
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name: "Irregular Column",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(images?.length || Infinity, config?.numImages || randint(4) + 2);
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const segmentSize = [ctx.canvas.width, ctx.canvas.height / numImages];
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return range(numImages).map((idx) => {
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const irregularHeight = images ?
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segmentSize[1] + Math.random() * ((segmentSize[0] / images[idx].width * images[idx].height) - segmentSize[1]) :
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segmentSize[1] + Math.random() * segmentSize[1] * .5;
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return {
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x: segmentSize[0] / 2,
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y: idx * segmentSize[1] + segmentSize[1] / 2,
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w: segmentSize[0],
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h: Math.min(ctx.canvas.height / 2, irregularHeight),
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};
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});
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},
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place: this.cleanPlace.bind(this)
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},
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"concentric_factor": {
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name: "Constant factor concentric",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(images?.length || Infinity, config?.numImages || randint(4) + 2);
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let factor: number;
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if (Math.random() > .5) {
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factor = choice([1 / Math.sqrt(2), .5, .88]);
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} else {
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factor = 1 - (1 / numImages);
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}
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return range(numImages).map((idx) => {
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const ratio = Math.pow(factor, idx);
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return {
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x: ctx.canvas.width / 2,
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y: ctx.canvas.height / 2,
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w: ctx.canvas.width * ratio,
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h: ctx.canvas.height * ratio
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};
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});
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},
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place: this.cleanPlace.bind(this)
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},
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"concentric_spaced": {
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name: "Equally spaced concentric",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(images?.length || Infinity, config?.numImages || randint(2) + 2);
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return range(numImages).map((idx) => {
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return {
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x: ctx.canvas.width / 2,
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y: ctx.canvas.height / 2,
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w: ctx.canvas.width - (ctx.canvas.width / numImages * idx),
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h: ctx.canvas.height - (ctx.canvas.height / numImages * idx),
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};
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});
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},
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place: this.cleanPlace.bind(this)
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},
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"blend": {
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name: "Blending",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(images?.length || Infinity, config?.numImages || randint(2) + 2);
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return range(numImages).map((_) => {
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return {
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x: ctx.canvas.width / 2,
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y: ctx.canvas.height / 2,
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w: ctx.canvas.width,
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h: ctx.canvas.height
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};
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});
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},
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place: (ctx, images, segments) => {
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ctx.globalCompositeOperation = choice(["difference", "saturation", "soft-light", "overlay"]);
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this.cleanPlace(ctx, images, segments);
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}
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export abstract class CollageModes<
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C extends CollageContext,
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I extends CollageImage,
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CS extends CollageCanvas
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> {
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readonly modes: { [key in CollageModeType]: CollageMode<C, I> } = {
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clean_grid: {
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name: "Clean Grid",
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minImages: 4,
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forceConfig: {
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numImages: 4,
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},
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getSegments: this.getGridSegments,
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place: this.cleanPlace.bind(this),
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},
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chaos_grid: {
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name: "Irregular Grid",
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minImages: 4,
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forceConfig: {
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numImages: 4,
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},
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getSegments: this.getGridSegments,
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place: (ctx, images, segments) => {
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const shuffledImages = shuffle(images);
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shuffle(
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segments.map((segment, idx) => [segment, idx] as [Segment, number])
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).forEach(([segment, idx]) => {
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const image = shuffledImages[idx];
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const scaleRatio = Math.max(
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segment.w / image.width,
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segment.h / image.height
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);
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this.drawImage(
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ctx,
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image,
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0,
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0,
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image.width,
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image.height,
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segment.x - (image.width * scaleRatio) / 2,
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segment.y - (image.height * scaleRatio) / 2,
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image.width * scaleRatio,
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image.height * scaleRatio
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);
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});
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},
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},
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row: {
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name: "Regular Row",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(
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images?.length || Infinity,
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config?.numImages || randint(4) + 2
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);
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const segmentSize = [ctx.canvas.width / numImages, ctx.canvas.height];
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return range(numImages).map((idx) => {
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return {
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x: idx * segmentSize[0] + segmentSize[0] / 2,
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y: segmentSize[1] / 2,
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w: segmentSize[0],
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h: segmentSize[1],
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};
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});
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},
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place: this.cleanPlace.bind(this),
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},
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irow: {
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name: "Irregular Row",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(
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images?.length || Infinity,
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config?.numImages || randint(4) + 2
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);
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const segmentSize = [ctx.canvas.width / numImages, ctx.canvas.height];
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return range(numImages).map((idx) => {
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const irregularWidth = images
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? segmentSize[0] +
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Math.random() *
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((segmentSize[1] / images[idx].height) * images[idx].width -
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segmentSize[0])
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: segmentSize[0] + Math.random() * segmentSize[0] * 0.5;
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return {
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x: idx * segmentSize[0] + segmentSize[0] / 2,
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y: segmentSize[1] / 2,
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w: Math.min(ctx.canvas.width / 2, irregularWidth),
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h: segmentSize[1],
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};
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});
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},
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place: this.cleanPlace.bind(this),
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},
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col: {
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name: "Regular Column",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(
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images?.length || Infinity,
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config?.numImages || randint(4) + 2
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);
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const segmentSize = [ctx.canvas.width, ctx.canvas.height / numImages];
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return range(numImages).map((idx) => {
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return {
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x: segmentSize[0] / 2,
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y: idx * segmentSize[1] + segmentSize[1] / 2,
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w: segmentSize[0],
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h: segmentSize[1],
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};
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});
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},
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place: this.cleanPlace.bind(this),
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},
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icol: {
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name: "Irregular Column",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(
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images?.length || Infinity,
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config?.numImages || randint(4) + 2
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);
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const segmentSize = [ctx.canvas.width, ctx.canvas.height / numImages];
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return range(numImages).map((idx) => {
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const irregularHeight = images
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? segmentSize[1] +
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Math.random() *
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((segmentSize[0] / images[idx].width) * images[idx].height -
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segmentSize[1])
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: segmentSize[1] + Math.random() * segmentSize[1] * 0.5;
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return {
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x: segmentSize[0] / 2,
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y: idx * segmentSize[1] + segmentSize[1] / 2,
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w: segmentSize[0],
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h: Math.min(ctx.canvas.height / 2, irregularHeight),
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};
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});
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},
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place: this.cleanPlace.bind(this),
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},
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concentric_factor: {
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name: "Constant factor concentric",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(
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images?.length || Infinity,
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config?.numImages || randint(4) + 2
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);
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let factor: number;
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if (Math.random() > 0.5) {
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factor = choice([1 / Math.sqrt(2), 0.5, 0.88]);
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} else {
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factor = 1 - 1 / numImages;
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}
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return range(numImages).map((idx) => {
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const ratio = Math.pow(factor, idx);
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return {
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x: ctx.canvas.width / 2,
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y: ctx.canvas.height / 2,
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w: ctx.canvas.width * ratio,
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h: ctx.canvas.height * ratio,
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};
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});
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},
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place: this.cleanPlace.bind(this),
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},
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concentric_spaced: {
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name: "Equally spaced concentric",
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minImages: 2,
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getSegments: (ctx, config, images) => {
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const numImages = Math.min(
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images?.length || Infinity,
|
||||
config?.numImages || randint(2) + 2
|
||||
);
|
||||
return range(numImages).map((idx) => {
|
||||
return {
|
||||
x: ctx.canvas.width / 2,
|
||||
y: ctx.canvas.height / 2,
|
||||
w: ctx.canvas.width - (ctx.canvas.width / numImages) * idx,
|
||||
h: ctx.canvas.height - (ctx.canvas.height / numImages) * idx,
|
||||
};
|
||||
});
|
||||
},
|
||||
place: this.cleanPlace.bind(this),
|
||||
},
|
||||
blend: {
|
||||
name: "Blending",
|
||||
minImages: 2,
|
||||
getSegments: (ctx, config, images) => {
|
||||
const numImages = Math.min(
|
||||
images?.length || Infinity,
|
||||
config?.numImages || randint(2) + 2
|
||||
);
|
||||
return range(numImages).map((_) => {
|
||||
return {
|
||||
x: ctx.canvas.width / 2,
|
||||
y: ctx.canvas.height / 2,
|
||||
w: ctx.canvas.width,
|
||||
h: ctx.canvas.height,
|
||||
};
|
||||
});
|
||||
},
|
||||
place: (ctx, images, segments) => {
|
||||
ctx.globalCompositeOperation = choice([
|
||||
"difference",
|
||||
"saturation",
|
||||
"soft-light",
|
||||
"overlay",
|
||||
]);
|
||||
this.cleanPlace(ctx, images, segments);
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
public async recursiveDraw(
|
||||
context: C,
|
||||
images: I[],
|
||||
recursiveConfig: RecursiveCollageConfig
|
||||
) {
|
||||
const localImages = images.concat();
|
||||
const rootSegment: Segment = {
|
||||
x: 0,
|
||||
y: 0,
|
||||
w: context.canvas.width,
|
||||
h: context.canvas.height,
|
||||
};
|
||||
const processSegment = async (
|
||||
segment: Segment,
|
||||
level: number
|
||||
): Promise<I> => {
|
||||
// console.debug(segment, level);
|
||||
if (segment === rootSegment || level <= recursiveConfig.level - 1) {
|
||||
const canvas = this.createCanvas(segment.w, segment.h);
|
||||
const modeKey = choice(recursiveConfig.modes);
|
||||
// console.debug(modeKey);
|
||||
const mode = this.modes[modeKey];
|
||||
const ctx = canvas.getContext("2d") as C;
|
||||
const segments = mode.getSegments(ctx);
|
||||
// console.debug(segments);
|
||||
const bitmaps = await Promise.all(
|
||||
segments.map((segment: Segment) => processSegment(segment, level + 1))
|
||||
);
|
||||
mode.place(ctx, bitmaps, segments);
|
||||
return await this.canvasToImage(canvas);
|
||||
} else {
|
||||
if (recursiveConfig.repeat) {
|
||||
return choice(localImages);
|
||||
} else {
|
||||
if (localImages.length > 0) {
|
||||
return localImages.pop() as I;
|
||||
} else {
|
||||
throw "RAN OUT OF IMAGES";
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
public async recursiveDraw(context: C, images: I[], recursiveConfig: RecursiveCollageConfig) {
|
||||
const localImages = images.concat();
|
||||
const rootSegment: Segment = {
|
||||
x: 0,
|
||||
y: 0,
|
||||
w: context.canvas.width,
|
||||
h: context.canvas.height,
|
||||
};
|
||||
const processSegment = async (
|
||||
segment: Segment,
|
||||
level: number
|
||||
): Promise<I> => {
|
||||
// console.debug(segment, level);
|
||||
if (
|
||||
segment === rootSegment ||
|
||||
level <= recursiveConfig.level - 1
|
||||
) {
|
||||
const canvas = this.createCanvas(segment.w, segment.h);
|
||||
const modeKey = choice(recursiveConfig.modes);
|
||||
// console.debug(modeKey);
|
||||
const mode = this.modes[modeKey];
|
||||
const ctx = canvas.getContext("2d") as C;
|
||||
const segments = mode.getSegments(ctx);
|
||||
// console.debug(segments);
|
||||
const bitmaps = await Promise.all(
|
||||
segments.map((segment: Segment) => processSegment(segment, level + 1))
|
||||
);
|
||||
mode.place(ctx, bitmaps, segments);
|
||||
return await this.canvasToImage(canvas);
|
||||
} else {
|
||||
if (recursiveConfig.repeat) {
|
||||
return choice(localImages);
|
||||
} else {
|
||||
if (localImages.length > 0) {
|
||||
return localImages.pop() as I;
|
||||
} else {
|
||||
throw "RAN OUT OF IMAGES";
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
const result = await processSegment(rootSegment, 0);
|
||||
this.drawImage(
|
||||
context,
|
||||
result,
|
||||
0,
|
||||
0,
|
||||
result.width,
|
||||
result.height,
|
||||
0,
|
||||
0,
|
||||
context.canvas.width,
|
||||
context.canvas.height
|
||||
);
|
||||
}
|
||||
|
||||
const result = await processSegment(rootSegment, 0);
|
||||
this.drawImage(context, result, 0, 0, result.width, result.height, 0, 0, context.canvas.width, context.canvas.height);
|
||||
}
|
||||
private cleanDraw(
|
||||
ctx: C,
|
||||
image: I,
|
||||
x: number,
|
||||
y: number,
|
||||
w: number,
|
||||
h: number
|
||||
) {
|
||||
const scaleRatio = Math.max(w / image.width, h / image.height);
|
||||
this.drawImage(
|
||||
ctx,
|
||||
image,
|
||||
image.width / 2 - w / scaleRatio / 2,
|
||||
image.height / 2 - h / scaleRatio / 2,
|
||||
w / scaleRatio,
|
||||
h / scaleRatio,
|
||||
x - w / 2,
|
||||
y - h / 2,
|
||||
w,
|
||||
h
|
||||
);
|
||||
}
|
||||
|
||||
private cleanDraw(ctx: C, image: I,
|
||||
x: number, y: number, w: number, h: number) {
|
||||
const scaleRatio = Math.max(w / image.width, h / image.height);
|
||||
this.drawImage(ctx, image, image.width / 2 - w / scaleRatio / 2, image.height / 2 - h / scaleRatio / 2,
|
||||
w / scaleRatio, h / scaleRatio,
|
||||
x - w / 2, y - h / 2,
|
||||
w, h);
|
||||
}
|
||||
private cleanPlace(ctx: C, images: I[], segments: Segment[]) {
|
||||
segments.forEach((segment, idx) => {
|
||||
this.cleanDraw(
|
||||
ctx,
|
||||
images[idx],
|
||||
segment.x,
|
||||
segment.y,
|
||||
segment.w,
|
||||
segment.h
|
||||
);
|
||||
});
|
||||
}
|
||||
|
||||
private cleanPlace(ctx: C, images: I[], segments: Segment[]) {
|
||||
segments.forEach((segment, idx) => {
|
||||
this.cleanDraw(ctx, images[idx], segment.x, segment.y, segment.w, segment.h);
|
||||
});
|
||||
}
|
||||
private getGridSegments(ctx: C, config?: CollageConfig) {
|
||||
return [0, 1, 2, 3].map((idx) => {
|
||||
let x!: number, y!: number;
|
||||
switch (idx) {
|
||||
case 0:
|
||||
x = ctx.canvas.width * 0.25;
|
||||
y = ctx.canvas.height * 0.25;
|
||||
break;
|
||||
case 1:
|
||||
x = ctx.canvas.width * 0.75;
|
||||
y = ctx.canvas.height * 0.25;
|
||||
break;
|
||||
case 2:
|
||||
x = ctx.canvas.width * 0.25;
|
||||
y = ctx.canvas.height * 0.75;
|
||||
break;
|
||||
case 3:
|
||||
x = ctx.canvas.width * 0.75;
|
||||
y = ctx.canvas.height * 0.75;
|
||||
break;
|
||||
}
|
||||
return {
|
||||
x,
|
||||
y,
|
||||
w: ctx.canvas.width / 2,
|
||||
h: ctx.canvas.height / 2,
|
||||
};
|
||||
});
|
||||
}
|
||||
|
||||
private getGridSegments(ctx: C, config?: CollageConfig) {
|
||||
return [0, 1, 2, 3].map((idx) => {
|
||||
let x!: number, y!: number;
|
||||
switch (idx) {
|
||||
case 0:
|
||||
x = ctx.canvas.width * .25;
|
||||
y = ctx.canvas.height * .25;
|
||||
break;
|
||||
case 1:
|
||||
x = ctx.canvas.width * .75;
|
||||
y = ctx.canvas.height * .25;
|
||||
break;
|
||||
case 2:
|
||||
x = ctx.canvas.width * .25;
|
||||
y = ctx.canvas.height * .75;
|
||||
break;
|
||||
case 3:
|
||||
x = ctx.canvas.width * .75;
|
||||
y = ctx.canvas.height * .75;
|
||||
break;
|
||||
}
|
||||
return {
|
||||
x, y,
|
||||
w: ctx.canvas.width / 2,
|
||||
h: ctx.canvas.height / 2
|
||||
};
|
||||
});
|
||||
}
|
||||
abstract createCanvas(w: number, h: number): CS;
|
||||
|
||||
abstract createCanvas(w: number, h: number): CS
|
||||
abstract canvasToImage(canvas: CS): PromiseLike<I>;
|
||||
|
||||
abstract canvasToImage(canvas: CS): PromiseLike<I>
|
||||
|
||||
abstract drawImage(ctx: C, image: I, sx: number, sy: number, sw: number, sh: number, dx: number, dy: number, dw: number, dh: number): void;
|
||||
}
|
||||
abstract drawImage(
|
||||
ctx: C,
|
||||
image: I,
|
||||
sx: number,
|
||||
sy: number,
|
||||
sw: number,
|
||||
sh: number,
|
||||
dx: number,
|
||||
dy: number,
|
||||
dw: number,
|
||||
dh: number
|
||||
): void;
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue