mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
- Replace OpenCV Haar Cascades with MediaPipe for face detection, using short-range model first with full-range fallback for better accuracy - Add auto-orient to remove-background route for EXIF-rotated photos - Change default background removal model from u2net to birefnet-general-lite - Fix flaky test by setting SQLite busy_timeout before journal_mode pragma Co-authored-by: Siddharth Kumar Sah <siddharth123sk@gmail.com>
146 lines
5.2 KiB
TypeScript
146 lines
5.2 KiB
TypeScript
import { randomUUID } from "node:crypto";
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import { writeFile } from "node:fs/promises";
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import { basename, join } from "node:path";
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import { removeBackground } from "@stirling-image/ai";
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import type { FastifyInstance, FastifyReply, FastifyRequest } from "fastify";
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import { z } from "zod";
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import { autoOrient } from "../../lib/auto-orient.js";
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import { validateImageBuffer } from "../../lib/file-validation.js";
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import { createWorkspace } from "../../lib/workspace.js";
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import { updateSingleFileProgress } from "../progress.js";
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import { registerToolProcessFn } from "../tool-factory.js";
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/**
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* AI background removal route.
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* Uses Python + rembg under the hood.
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*/
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export function registerRemoveBackground(app: FastifyInstance) {
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app.post(
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"/api/v1/tools/remove-background",
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async (request: FastifyRequest, reply: FastifyReply) => {
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let fileBuffer: Buffer | null = null;
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let filename = "image";
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let settingsRaw: string | null = null;
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let clientJobId: string | null = null;
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try {
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const parts = request.parts();
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for await (const part of parts) {
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if (part.type === "file") {
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const chunks: Buffer[] = [];
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for await (const chunk of part.file) {
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chunks.push(chunk);
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}
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fileBuffer = Buffer.concat(chunks);
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filename = basename(part.filename ?? "image");
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} else if (part.fieldname === "settings") {
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settingsRaw = part.value as string;
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} else if (part.fieldname === "clientJobId") {
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clientJobId = part.value as string;
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}
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}
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} catch (err) {
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return reply.status(400).send({
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error: "Failed to parse multipart request",
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details: err instanceof Error ? err.message : String(err),
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});
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}
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if (!fileBuffer || fileBuffer.length === 0) {
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return reply.status(400).send({ error: "No image file provided" });
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}
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const validation = await validateImageBuffer(fileBuffer);
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if (!validation.valid) {
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return reply.status(400).send({ error: `Invalid image: ${validation.reason}` });
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}
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try {
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const settings = settingsRaw ? JSON.parse(settingsRaw) : {};
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// Auto-orient to fix EXIF rotation before processing
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fileBuffer = await autoOrient(fileBuffer);
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request.log.info(
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{ toolId: "remove-background", imageSize: fileBuffer.length, model: settings.model },
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"Starting background removal",
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);
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const jobId = randomUUID();
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const workspacePath = await createWorkspace(jobId);
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// Save input
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const inputPath = join(workspacePath, "input", filename);
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await writeFile(inputPath, fileBuffer);
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// Process
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const jobIdForProgress = clientJobId;
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const onProgress = jobIdForProgress
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? (percent: number, stage: string) => {
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updateSingleFileProgress({
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jobId: jobIdForProgress,
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phase: "processing",
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stage,
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percent,
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});
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}
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: undefined;
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const resultBuffer = await removeBackground(
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fileBuffer,
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join(workspacePath, "output"),
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{ model: settings.model, backgroundColor: settings.backgroundColor },
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onProgress,
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);
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// Save output
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const outputFilename = `${filename.replace(/\.[^.]+$/, "")}_nobg.png`;
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const outputPath = join(workspacePath, "output", outputFilename);
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await writeFile(outputPath, resultBuffer);
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if (clientJobId) {
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updateSingleFileProgress({
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jobId: clientJobId,
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phase: "complete",
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percent: 100,
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});
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}
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return reply.send({
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jobId,
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downloadUrl: `/api/v1/download/${jobId}/${encodeURIComponent(outputFilename)}`,
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originalSize: fileBuffer.length,
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processedSize: resultBuffer.length,
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});
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} catch (err) {
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request.log.error({ err, toolId: "remove-background" }, "Background removal failed");
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return reply.status(422).send({
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error: "Background removal failed",
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details: err instanceof Error ? err.message : "Unknown error",
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});
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}
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},
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);
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// Register in the pipeline/batch registry so this tool can be used
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// as a step in automation pipelines (without progress callbacks).
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registerToolProcessFn({
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toolId: "remove-background",
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settingsSchema: z.object({
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model: z.string().optional(),
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backgroundColor: z.string().optional(),
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}),
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process: async (inputBuffer, settings, filename) => {
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const s = settings as { model?: string; backgroundColor?: string };
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const orientedBuffer = await autoOrient(inputBuffer);
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const jobId = randomUUID();
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const workspacePath = await createWorkspace(jobId);
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const resultBuffer = await removeBackground(orientedBuffer, join(workspacePath, "output"), {
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model: s.model,
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backgroundColor: s.backgroundColor,
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});
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const outputFilename = `${filename.replace(/\.[^.]+$/, "")}_nobg.png`;
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return { buffer: resultBuffer, filename: outputFilename, contentType: "image/png" };
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},
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});
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}
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