mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
- Expose birefnet-hr-matting in UI (People/Ultra) and fix model defaults (People/Max now uses birefnet-matting for true alpha matting) - Add output format selector (PNG/WebP/AVIF) with lossless alpha support - Add edge smoothing post-processing (Off/Light/Medium/Strong) via morphological mask refinement to reduce gray halo artifacts - Add color decontamination to remove background color spill from semi-transparent edge pixels - Thread new settings through full stack: frontend -> API schema -> Python sidecar -> Sharp effects pipeline - Add i18n keys for all 21 locales - Add unit tests for new option serialization (3 tests) - Add integration tests for new settings validation (4 tests)
102 lines
3.2 KiB
TypeScript
102 lines
3.2 KiB
TypeScript
import { randomUUID } from "node:crypto";
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import { readFile, unlink, writeFile } from "node:fs/promises";
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import { tmpdir } from "node:os";
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import { join } from "node:path";
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import sharp from "sharp";
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import { type ProgressCallback, parseStdoutJson, runPythonWithProgress } from "./bridge.js";
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export interface RemoveBackgroundOptions {
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model?: string;
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backgroundColor?: string;
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edgeRefine?: number;
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decontaminate?: boolean;
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}
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const MAX_REMBG_PX = Number(process.env.MAX_REMBG_PX) || 2048;
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const OOM_FALLBACK_MODEL = "u2net";
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export async function removeBackground(
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inputBuffer: Buffer,
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outputDir: string,
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options: RemoveBackgroundOptions = {},
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onProgress?: ProgressCallback,
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): Promise<Buffer> {
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const id = randomUUID();
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const inputPath = join(tmpdir(), `rembg_in_${id}.png`);
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const outputPath = join(outputDir, `rembg_out_${id}.png`);
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const meta = await sharp(inputBuffer).metadata();
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const origW = meta.width ?? 0;
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const origH = meta.height ?? 0;
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const longest = Math.max(origW, origH);
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const needsDownscale = longest > MAX_REMBG_PX;
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let pipeline = sharp(inputBuffer);
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if (needsDownscale) {
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pipeline = pipeline.resize({
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width: origW >= origH ? MAX_REMBG_PX : undefined,
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height: origH > origW ? MAX_REMBG_PX : undefined,
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fit: "inside",
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withoutEnlargement: true,
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});
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}
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const pngBuffer = await pipeline.png().toBuffer();
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await writeFile(inputPath, pngBuffer);
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try {
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const megapixels = (origW * origH) / 1_000_000;
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const baseTimeout = options.model?.startsWith("birefnet") ? 600000 : 300000;
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const timeout = Math.max(baseTimeout, megapixels * 30 * 1000);
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const rawMask = await runAndParse(inputPath, outputPath, options, onProgress, timeout);
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if (needsDownscale) {
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return sharp(rawMask).resize({ width: origW, height: origH, fit: "fill" }).png().toBuffer();
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}
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return rawMask;
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} finally {
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await unlink(inputPath).catch(() => {});
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await unlink(outputPath).catch(() => {});
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}
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}
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async function runAndParse(
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inputPath: string,
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outputPath: string,
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options: RemoveBackgroundOptions,
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onProgress: ProgressCallback | undefined,
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timeout: number,
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): Promise<Buffer> {
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try {
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const { stdout } = await runPythonWithProgress(
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"remove_bg.py",
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[inputPath, outputPath, JSON.stringify(options)],
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{ onProgress, timeout },
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);
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const result = parseStdoutJson(stdout);
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if (!result.success) {
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throw new Error(result.error || "Background removal failed");
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}
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return readFile(outputPath);
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} catch (err) {
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const isOom = err instanceof Error && err.message.includes("out of memory");
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const canFallback = isOom && options.model !== OOM_FALLBACK_MODEL;
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if (!canFallback) throw err;
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onProgress?.(5, `Retrying with lighter model (${OOM_FALLBACK_MODEL})`);
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const fallbackOpts = { ...options, model: OOM_FALLBACK_MODEL };
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const { stdout } = await runPythonWithProgress(
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"remove_bg.py",
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[inputPath, outputPath, JSON.stringify(fallbackOpts)],
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{ onProgress, timeout: 300000 },
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);
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const result = parseStdoutJson(stdout);
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if (!result.success) {
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throw new Error(result.error || "Background removal failed");
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}
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return readFile(outputPath);
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}
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}
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