← Roboflow

Classify Image with Roboflow API

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Classify Image with the Roboflow API
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Getting Started

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

  1. Configure the Classify Image action
    1. Connect your Roboflow account
    2. Select a Project
    3. Select a Dataset
    4. Optional- Configure File Path
    5. Optional- Configure File URL
  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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Classify Image with Roboflow API on New Scheduled Tasks from Pipedream API
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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.

Classify Image on Roboflow
Description:Run inference on classification models hosted on Roboflow. [See the documentation](https://docs.roboflow.com/deploy/hosted-api/classification).
Version:0.0.1
Key:roboflow-classify-image

Code

import roboflow from "../../roboflow.app.mjs";
import { ConfigurationError } from "@pipedream/platform";
import fs from "fs";

export default {
  key: "roboflow-classify-image",
  name: "Classify Image",
  description: "Run inference on classification models hosted on Roboflow. [See the documentation](https://docs.roboflow.com/deploy/hosted-api/classification).",
  version: "0.0.1",
  type: "action",
  props: {
    roboflow,
    projectId: {
      propDefinition: [
        roboflow,
        "projectId",
      ],
    },
    datasetId: {
      propDefinition: [
        roboflow,
        "datasetId",
        (c) => ({
          projectId: c.projectId,
        }),
      ],
    },
    filePath: {
      propDefinition: [
        roboflow,
        "filePath",
      ],
    },
    fileUrl: {
      propDefinition: [
        roboflow,
        "fileUrl",
      ],
    },
  },
  async run({ $ }) {
    if ((!this.filePath && !this.fileUrl) || (this.filePath && this.fileUrl)) {
      throw new ConfigurationError("Exactly one of file Path or File URL must be specified.");
    }

    const args = {
      datasetId: this.datasetId,
      $,
    };

    if (this.filePath) {
      args.data = fs.readFileSync(this.filePath, {
        encoding: "base64",
      });
      args.headers = {
        "Content-Type": "application/x-www-form-urlencoded",
      };
    }
    if (this.fileUrl) {
      args.params = {
        image: this.fileUrl,
      };
    }

    const response = await this.roboflow.classifyImage(args);

    if (!response?.error) {
      $.export("$summary", "Successfully classified image.");
    }

    return response;
  },
};

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
Roboflow roboflowappThis component uses the Roboflow app.
ProjectprojectIdstringSelect a value from the drop down menu.
DatasetdatasetIdstringSelect a value from the drop down menu.
File PathfilePathstring

The path to the image file saved to the /tmp directory (e.g. /tmp/image.png). See the documentation.

File URLfileUrlstring

The URL of the image file

Authentication

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

To retrieve your Private API Key,

  • Navigate to your Roboflow account and sign in
  • Click the User dropdown on the top right, and go to “Settings”
  • Click one of your workspaces, then click “Roboflow API”

About Roboflow

Build & use computer vision models fast✨

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