Errors while removing background on deployed server

[Rolstenhouse]

When I attempt to remove the background from a file on my server I get the following issue

corrupted size vs. prev_size OR free(): invalid size OR munmap_chunk(): invalid pointer

Have not been able to identify what triggers which, but feels like it might be an issue with the ML image (I'm using the small one)

Docker host: 20.10.12 linux x86_64 Node version: Node.js v21.6.2 Package version: 1.4.4

[LevwTech]

Same issue

[DanielHauschildt]

Would you be open to share the minimal example as I cannot reproduce it.

[Rolstenhouse]

Sure - here's some more context

Snippet

         mediaUrl = "https://api.twilio.com/2010-04-01/Accounts/ACfbfe2e1e70ce74b02a4151bf91b23693/Messages/MM3fa6329883117973ec3cd7b180c6caca/Media/ME76f45b7483238aac2516ab5429c5018a"
          try {
            ort.env.debug = true;
            ort.env.logLevel = "warning";

            logger.info("Removing background for image", { mediaUrl });
            const localPath = `file://${process.cwd()}/public/imgly/`;
            logger.info("localPath", { localPath });
            const blob: Blob = await removeBackground(mediaUrl, {
              publicPath:
                process.env.NODE_ENV === "production"
                  ? "file:///myapp/public/imgly/"
                  : localPath,
              // publicPath: "https://stickerfy.xyz/imgly/",
              debug: true,
              model: "small",
              progress: (key, current, total) => {
                logger.warn(`Downloading ${key}: ${current} of ${total}`);
              },
            });
            buffer = Buffer.from(await blob.arrayBuffer());
          } catch (error) {
            logger.error("Error while removing background for image", {
              mediaUrl,
              error,
              errorMessage: error.message,
              errorStack: error.stack,
              errorName: error.name,
            });
          }
        }

        // Write the buffer to S3

        if (buffer) {
          // Upload to S3
          logger.info("Uploading image to S3", {
            info: {
              key: mediaSid!,
              contentType: "image/png",
              userId: user?.autoId || 0,
              buffer: buffer.length,
            },
          });
          backgroundRemovedImage = await uploadImageToS3({
            key: mediaSid!,
            buffer,
            contentType: "image/png",
            userId: user?.autoId || 0,
          });
        }

Here's a screenshot of the logs (and included a CSV with the log output)

Also note: this snippet includes the local file path, but I also ran into this issue when referencing the hosted model.

Deployed server is running on fly.io btw (not sure if that might be an issue)

extract-2024-02-27T00_49_29.879Z.csv

[LevwTech]

My server is running on digital ocean with the same issue. Droplet info: Ubuntu 23.10 x64 Node 20 No gpu

[n3m3s7s]

Hi, I get the same error on WSL2 (Ubuntu).

Could be related to "onnxruntime-node" or WASM and the fact that TensorFlow and the model need a GPU and on server or a remote environment they are not available ?

I noticed that in the source, the function:

async function createOnnxSession(model, config) {
  if (config.debug) {
    ort.env.debug = true;
    ort.env.logLevel = "verbose";
    console.debug("ort.env.wasm:", ort.env.wasm);
  }
}

on my WSL2 environment actually prints an empty object to the console:

fetch /models/medium 100%
ort.env.wasm: {}
free(): invalid size

Thanks!

[DanielHauschildt]

onnxruntime-node should work without a GPU. ort.env.wasm seems wrong and the Node Version does not yet support the wasm backend. So it seems ok that it's empty.

I have no access to such a machine at the moment, so unfortunately I cannot reproduce the error. Also, I have no idea what the cause is.

[Rolstenhouse]

Thanks for looking into it. For other devs that might encounter this, I used a different package: rembg on replicate and just paid the small out of pocket cost.

[jemeetala]

npm ERR! code 1 npm ERR! path /home1/freeback/nodevenv/imageremove/18/lib/node_modules/onnxruntime-node npm ERR! command failed npm ERR! command sh -c node ./script/install npm ERR! Downloading "https://github.com/microsoft/onnxruntime/releases/download/v1.17.3/onnxruntime-linux-x64-gpu-1.17.3.tgz"... npm ERR! node:internal/deps/undici/undici:7534 npm ERR! return await WebAssembly.instantiate(mod, { npm ERR! ^ npm ERR! npm ERR! RangeError: WebAssembly.instantiate(): Out of memory: wasm memory npm ERR! at lazyllhttp (node:internal/deps/undici/undici:7534:32) npm ERR! npm ERR! Node.js v18.18.2 npm ERR! A complete log of this run can be found in: /home1/freeback/.npm/_logs/2024-08-27T13_49_31_015Z-debug-0.log

getting this error on cpnal it's working fine with local so help me out ?

[Das-Felix]

Hello, i am having the same Issue. I am using the background remover locally without any problems. When i deploy my code to docker i get: munmap_chunk(): invalid pointer

Docker version: 27.2.1 Node: node:22-bookworm-slim image Package version: 1.4.5

Is there a fix for this? Thanks

[Songthamt]

getting same issue ... am using the background remover locally without any problems. When i deploy my code to docker i get free(): invalid size.

this sucks because the npm package is too big for lambda layer and even when using container it doesn't work.

[Das-Felix]

I made a simple removeBackground api endpoint with express as a test, and it runs without any problems, with the same node image on docker. So maybe its conflicting with some other package i use in my main project.

Anyway, i use this now as a workaround now. Here is the code, if you are interested:

import { removeBackground } from "@imgly/background-removal-node";
import express from "express";
import multer from "multer";
import bodyParser from "body-parser";
import fs from "fs/promises";
import path from "path";

const app = express();
const port = 3838;
const apiKey = process.env.REMOVE_BG_API_KEY;

const upload = multer({ dest: 'uploads/' });

app.post('/removeBackground', upload.single('image'), async (req, res) => {
    if (!apiKey) {
        return res.status(500).send('API key is not set');
    }

    if (req.body.apiKey !== apiKey) {
        return res.status(401).send('Unauthorized');
    }

    try {
        const imagePath = req.file.path;
        const outputImagePath = path.join('uploads', `removed-background-${Date.now()}.png`);

        const imageBuffer = await fs.readFile(imagePath);
        const imageBlob = new Blob([imageBuffer], { type: 'image/png' });

        let removedBackground = await removeBackground(imageBlob);
        const arrayBuffer = await removedBackground.arrayBuffer();
        const removedBackgroundBuffer = Buffer.from(arrayBuffer);
        await fs.writeFile(outputImagePath, removedBackgroundBuffer);
        res.sendFile(outputImagePath, { root: './' });

        await fs.unlink(imagePath);
        await fs.unlink(outputImagePath);
    } catch (error) {
        console.error(error);
        res.status(500).send('Error processing image');
    }
});

app.listen(port, () => {
    console.log(`Server is running on port ${port}`);
});

FROM node:22-bookworm-slim
WORKDIR /usr/src/app

COPY package*.json ./

RUN npm install

COPY . .

EXPOSE 3838

CMD ["node", "server.js"]