lucataco / glpn-nyu

Global-Local Path Networks (GLPN) model trained on NYUv2 for Monocular Depth Estimation

Cold

Public
57 runs
CPU
GitHub
Paper
License

Iterate in the playground

Run with an API

Playground API Examples README Versions

Prediction

lucataco/glpn-nyu:d02f0aae7197d84300fc1710b584104c338a3c20956abaa3d38f8d8c065d5781

Model

lucataco/glpn-nyu:d02f0aae

3h5ss7jboy42ic3wu2lw2eckgy

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

75.8s

Created

over 1 year ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/KOXrrg6fHdDg5Ib7ZzavCHufMWZQ91hu8CFi5b1AiB7EvW9n/street.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run lucataco/glpn-nyu using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/glpn-nyu:d02f0aae7197d84300fc1710b584104c338a3c20956abaa3d38f8d8c065d5781",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KOXrrg6fHdDg5Ib7ZzavCHufMWZQ91hu8CFi5b1AiB7EvW9n/street.jpg"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

Run lucataco/glpn-nyu using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/glpn-nyu:d02f0aae7197d84300fc1710b584104c338a3c20956abaa3d38f8d8c065d5781",
    input={
        "image": "https://replicate.delivery/pbxt/KOXrrg6fHdDg5Ib7ZzavCHufMWZQ91hu8CFi5b1AiB7EvW9n/street.jpg"
    }
)
print(output)

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

Run lucataco/glpn-nyu 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": "lucataco/glpn-nyu:d02f0aae7197d84300fc1710b584104c338a3c20956abaa3d38f8d8c065d5781",
    "input": {
      "image": "https://replicate.delivery/pbxt/KOXrrg6fHdDg5Ib7ZzavCHufMWZQ91hu8CFi5b1AiB7EvW9n/street.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.7 seconds

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