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Background Removal with api4ai API

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Background Removal with the api4ai API
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Overview

⭐️ Background Removal offers advanced image analysis for foreground segmentation and effortless background removal.

bg-removal

🤖 Demo

Discover the Background Removal Web demo for free and get a feel for its capabilities before diving deeper. No registration is required: https://api4.ai/apis/bg-removal#demo-wrapper

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Getting Started

Create a workflow to Background Removal with the api4ai API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Background Removal action
    1. Connect your api4ai account
    2. Configure alert
    3. Configure Image
    4. Optional- Configure Mask mode
    5. Optional- Select a Result image representation
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Background Removal on api4ai
Description:Automatically and quickly remove image background with high accuracy. Powered by API4AI.
Version:0.0.1
Key:api4ai-background-removal

Code

import app from "../../api4ai.app.mjs";
import {
  retryWithExponentialBackoff, representFile,
} from "../../common/utils.mjs";

export default {
  name: "Background Removal",
  description:
    "Automatically and quickly remove image background with high accuracy. Powered by API4AI.",
  key: "api4ai-background-removal",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    alert: {
      type: "alert",
      alertType: "info",
      content: "Subscribe to [API4AI Background Removal](https://rapidapi.com/api4ai-api4ai-default/api/background-removal4/pricing) on the RapidAPI hub before you start using it.",
    },
    image: {
      propDefinition: [
        app,
        "image",
      ],
    },
    mask: {
      type: "boolean",
      label: "Mask mode",
      description:
        "Return the foreground object mask instead of the image with the background removed.",
      default: false,
      optional: true,
    },
    representation: {
      type: "string",
      label: "Result image representation",
      description:
        "Return the result image as:\n  * **path** to a file (default)\n  * **URL** to a file hosted by api4ai (valid for 1 day)\n  * **Base64** string with file's content\n  * **Buffer** encoded in JSON with a file's content\n  * **Array** of bytes with a file's content",
      default: "Path to file",
      optional: true,
      options: [
        "Path to file",
        "URL to file",
        "Base64 string",
        "JSON Buffer",
        "Array",
      ],
    },
  },
  async run({ $ }) {
    // Initialize output.
    let summary = "";
    let result = "";
    const objects = [];
    let width = 0;
    let height = 0;

    // Prepare query params.
    const mode = this.mask
      ? "fg-mask"
      : "fg-image";
    const representation = this.representation == "URL to file"
      ? "url"
      : "base64";

    // Perform request and parse results.
    const cb = () =>
      this.app.makeRequest(
        $,
        "https://background-removal4.p.rapidapi.com/v1/results",
        this.image,
        {
          mode,
          representation,
        },
      );
    const response = await retryWithExponentialBackoff(cb);
    const isOk = response?.results?.[0]?.status?.code === "ok";
    summary = response?.results?.[0]?.status?.message || JSON.stringify(response);
    if (isOk) {
      result = response.results[0].entities[0].image;
      const rawObjects = response.results[0].entities[1].objects;
      rawObjects.forEach(function (o) {
        const box = {
          x: o.box[0],
          y: o.box[1],
          w: o.box[2],
          h: o.box[3],
        };
        const cls = Object.keys(o.entities[0].classes)[0];
        objects.push({
          class: cls,
          box: box,
        });
      });
      const format = response.results[0].entities[0].format;
      result = representFile(result, format, this.representation);
      width = response.results[0].width;
      height = response.results[0].height;
    }
    else {
      throw new Error(summary);
    }

    $.export("$summary", summary);
    $.export("result", result);
    $.export("objects", objects);
    $.export("width", width);
    $.export("height", height);
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
api4aiappappThis component uses the api4ai app.
Imageimagestring

Input image. Various types are accepted:

  • a path to a file
  • a URL to a file
  • a file's content encoded as a base64 string
  • a file's content as a Buffer encoded in JSON
  • a file's content as an Array of bytes
Mask modemaskboolean

Return the foreground object mask instead of the image with the background removed.

Result image representationrepresentationstringSelect a value from the drop down menu:Path to fileURL to fileBase64 stringJSON BufferArray

Authentication

api4ai uses API keys for authentication. When you connect your api4ai account, Pipedream securely stores the keys so you can easily authenticate to api4ai APIs in both code and no-code steps.

About api4ai

api4ai offers a multitude of ready-to-use AI APIs to extract information from your images.

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