adirik/grounding-dino:efd10a8d | Run with an API on Replicate

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adirik /grounding-dino:efd10a8d

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=adirik/grounding-dino

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run adirik/grounding-dino using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "adirik/grounding-dino:efd10a8ddc57ea28773327e881ce95e20cc1d734c589f7dd01d2036921ed78aa",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JlgUyeh3hBWO2SArXLtWqHVfDRSHuokfF1qkLW2Q6uHjLGXS/Two-Dogs-With-Cat.jpg",
      query: "a cat, a dog",
      box_threshold: 0.25,
      text_threshold: 0.2,
      show_visualisation: true
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run adirik/grounding-dino using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/grounding-dino:efd10a8ddc57ea28773327e881ce95e20cc1d734c589f7dd01d2036921ed78aa",
    input={
        "image": "https://replicate.delivery/pbxt/JlgUyeh3hBWO2SArXLtWqHVfDRSHuokfF1qkLW2Q6uHjLGXS/Two-Dogs-With-Cat.jpg",
        "query": "a cat, a dog",
        "box_threshold": 0.25,
        "text_threshold": 0.2,
        "show_visualisation": True
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run adirik/grounding-dino using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "adirik/grounding-dino:efd10a8ddc57ea28773327e881ce95e20cc1d734c589f7dd01d2036921ed78aa",
    "input": {
      "image": "https://replicate.delivery/pbxt/JlgUyeh3hBWO2SArXLtWqHVfDRSHuokfF1qkLW2Q6uHjLGXS/Two-Dogs-With-Cat.jpg",
      "query": "a cat, a dog",
      "box_threshold": 0.25,
      "text_threshold": 0.2,
      "show_visualisation": true
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

detections

{ "bbox": [ 449, 363, 748, 624 ], "label": "a cat", "confidence": 0.5377296805381775 }

{ "bbox": [ 116, 200, 427, 644 ], "label": "a dog", "confidence": 0.4842470586299896 }

{ "bbox": [ 829, 236, 1113, 617 ], "label": "a dog", "confidence": 0.523659348487854 }

result_image

Generated in

1.7 seconds

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