@adirik's adirik/grounding-dino

Model

adirik/grounding-dino:efd10a8d

57jvoqzc4xbh2in6gow2oq7hci

Status

Succeeded

Source

Web

Hardware

Total duration

1.7s

Created

about 2 years ago

Webhook

–

Input

image: https://replicate.delivery/pbxt/JlgUQIQCDemKg7bnfn5zKMqLgAPrZdpMMHzkXgHX5HUlbw9z/mugs.webp
query: pink mug
box_threshold: 0.2
text_threshold: 0.2
show_visualisation: true

{
  "box_threshold": 0.2,
  "image": "https://replicate.delivery/pbxt/JlgUQIQCDemKg7bnfn5zKMqLgAPrZdpMMHzkXgHX5HUlbw9z/mugs.webp",
  "query": "pink mug",
  "show_visualisation": true,
  "text_threshold": 0.2
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_6or**********************************

This is your API token. Keep it to yourself.

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: {
      box_threshold: 0.2,
      image: "https://replicate.delivery/pbxt/JlgUQIQCDemKg7bnfn5zKMqLgAPrZdpMMHzkXgHX5HUlbw9z/mugs.webp",
      query: "pink mug",
      show_visualisation: true,
      text_threshold: 0.2
    }
  }
);

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=r8_6or**********************************

This is your API token. Keep it to yourself.

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={
        "box_threshold": 0.2,
        "image": "https://replicate.delivery/pbxt/JlgUQIQCDemKg7bnfn5zKMqLgAPrZdpMMHzkXgHX5HUlbw9z/mugs.webp",
        "query": "pink mug",
        "show_visualisation": True,
        "text_threshold": 0.2
    }
)

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=r8_6or**********************************

This is your API token. Keep it to yourself.

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": {
      "box_threshold": 0.2,
      "image": "https://replicate.delivery/pbxt/JlgUQIQCDemKg7bnfn5zKMqLgAPrZdpMMHzkXgHX5HUlbw9z/mugs.webp",
      "query": "pink mug",
      "show_visualisation": true,
      "text_threshold": 0.2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Object output with 2 properties

detections

[
  {
    "bbox": [
      19,
      204,
      408,
      563
    ],
    "confidence": 0.8077122569084167,
    "label": "pink mug"
  },
  {
    "bbox": [
      545,
      263,
      952,
      650
    ],
    "confidence": 0.7644544839859009,
    "label": "pink mug"
  },
  {
    "bbox": [
      416,
      60,
      764,
      380
    ],
    "confidence": 0.4754282832145691,
    "label": "pink mug"
  },
  {
    "bbox": [
      909,
      161,
      1078,
      487
    ],
    "confidence": 0.43150201439857483,
    "label": "pink mug"
  }
]

result_image(result.png)

Download output

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