Car Image Background Removal with api4ai API

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Car Image Background Removal with the api4ai API

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Overview#

⭐️ Cars Image Background Removal designed to enhance automotive imagery, featuring high-accuracy segmentation, background removal, shadow effects, license plate blurring, and custom background replacement.

car-bg-removal

🤖 Demo

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

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Getting Started#

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

Configure the Car Image 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
6. Optional- Configure Draw a shadow
7. Optional- Configure Hide car license plates
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Car Image Background Removal with api4ai API on New Requests (Payload Only) from HTTP / Webhook API

HTTP / Webhook + api4ai

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Car Image Background Removal with api4ai API on New Submission from Typeform API

Typeform + api4ai

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Car Image Background Removal with api4ai API on New Submission (Instant) from Jotform API

Jotform + api4ai

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Car Image Background Removal with api4ai API on New Scheduled Tasks from Pipedream API

Pipedream + api4ai

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Car Image Background Removal with api4ai API on npm Download Counts from npm API

npm + api4ai

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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.

Car Image Background Removal on api4ai

Description:Remove Background for car images. Powered by API4AI.

Version:0.0.1

Key:api4ai-car-image-background-removal

View on GitHub

Code#

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

export default {
  name: "Car Image Background Removal",
  description:
    "Remove Background for car images. Powered by API4AI.",
  key: "api4ai-car-image-background-removal",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    alert: {
      type: "alert",
      alertType: "info",
      content: "Subscribe to [API4AI Cars Image Background Removal](https://rapidapi.com/api4ai-api4ai-default/api/cars-image-background-removal/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",
      ],
    },
    shadow: {
      type: "boolean",
      label: "Draw a shadow",
      description: "Draw a shadow underneath the car.",
      default: true,
      optional: true,
    },
    hideclp: {
      type: "boolean",
      label: "Hide car license plates",
      description: "Hide car license plates.",
      default: false,
      optional: true,
    },
  },
  async run({ $ }) {
    // Initialize output.
    let summary = "";
    let result = "";
    const objects = [];
    let width = 0;
    let height = 0;

    // Prepare query params.
    let mode = "fg-mask";
    if (!this.mask) {
      mode = "fg-image";
      if (this.shadow) {
        mode += "-shadow";
      }
      if (this.hideclp) {
        mode += "-hideclp";
      }
    }
    const representation = this.representation == "URL to file"
      ? "url"
      : "base64";

    // Perform request and parse results.
    const cb = () =>
      this.app.makeRequest(
        $,
        "https://cars-image-background-removal.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.

Label	Prop	Type	Description
api4ai	`app`	`app`	This component uses the api4ai app.
Image	`image`	`string`	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 mode	`mask`	`boolean`	Return the foreground object mask instead of the image with the background removed.
Result image representation	`representation`	`string`	Select a value from the drop down menu:`Path to fileURL to fileBase64 stringJSON BufferArray`
Draw a shadow	`shadow`	`boolean`	Draw a shadow underneath the car.
Hide car license plates	`hideclp`	`boolean`	Hide car license plates.

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