simbrams/segformer-b5-finetuned-ade-640-640 – Run with an API on Replicate

simbrams / segformer-b5-finetuned-ade-640-640

Semantic Segmentation

Warm

Public
1.1M runs
T4
Paper

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=simbrams/segformer-b5-finetuned-ade-640-640

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 simbrams/segformer-b5-finetuned-ade-640-640 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "simbrams/segformer-b5-finetuned-ade-640-640:a2e13e3527942cb26fd17f896cafd648875f80feeb842444f0cd253acc093cd0",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JbeQyNCmlcn94NIBAdkOuZfb4W3HzfT3dsKA6bAYjzglaXz6/04%20%281%29%20copy.jpg",
      keep_alive: false
    }
  }
);

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 simbrams/segformer-b5-finetuned-ade-640-640 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "simbrams/segformer-b5-finetuned-ade-640-640:a2e13e3527942cb26fd17f896cafd648875f80feeb842444f0cd253acc093cd0",
    input={
        "image": "https://replicate.delivery/pbxt/JbeQyNCmlcn94NIBAdkOuZfb4W3HzfT3dsKA6bAYjzglaXz6/04%20%281%29%20copy.jpg",
        "keep_alive": False
    }
)
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 simbrams/segformer-b5-finetuned-ade-640-640 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": "a2e13e3527942cb26fd17f896cafd648875f80feeb842444f0cd253acc093cd0",
    "input": {
      "image": "https://replicate.delivery/pbxt/JbeQyNCmlcn94NIBAdkOuZfb4W3HzfT3dsKA6bAYjzglaXz6/04%20%281%29%20copy.jpg",
      "keep_alive": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/simbrams/segformer-b5-finetuned-ade-640-640@sha256:a2e13e3527942cb26fd17f896cafd648875f80feeb842444f0cd253acc093cd0 \
  -i 'image="https://replicate.delivery/pbxt/JbeQyNCmlcn94NIBAdkOuZfb4W3HzfT3dsKA6bAYjzglaXz6/04%20%281%29%20copy.jpg"' \
  -i 'keep_alive=false'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 r8.im/simbrams/segformer-b5-finetuned-ade-640-640@sha256:a2e13e3527942cb26fd17f896cafd648875f80feeb842444f0cd253acc093cd0
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JbeQyNCmlcn94NIBAdkOuZfb4W3HzfT3dsKA6bAYjzglaXz6/04%20%281%29%20copy.jpg",
      "keep_alive": false
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

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floor

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label

windowpane

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label

door

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label

table

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label

plant

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label

chair

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label

painting

mask

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label

sofa

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label

rug

mask

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label

armchair

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cushion

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coffee table

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flower

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label

book

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label

stool

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label

pot

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tray

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label

plate

{
  "completed_at": "2023-09-28T11:56:22.867523Z",
  "created_at": "2023-09-28T11:56:17.660322Z",
  "data_removed": false,
  "error": null,
  "id": "jclsjorcyfkdkll7rejth67qle",
  "input": {
    "image": "https://replicate.delivery/pbxt/JbeQyNCmlcn94NIBAdkOuZfb4W3HzfT3dsKA6bAYjzglaXz6/04%20%281%29%20copy.jpg"
  },
  "logs": null,
  "metrics": {
    "predict_time": 5.221528,
    "total_time": 5.207201
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  "output": [
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      "label": "wall",
      "score": null
    },
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      "label": "sofa",
      "score": null
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      "label": "tray",
      "score": null
    },
    {
      "mask": "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",
      "label": "plate",
      "score": null
    }
  ],
  "started_at": "2023-09-28T11:56:17.645995Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/jclsjorcyfkdkll7rejth67qle",
    "cancel": "https://api.replicate.com/v1/predictions/jclsjorcyfkdkll7rejth67qle/cancel"
  },
  "version": "d61f5e502a9c2029c27cd54e6fd64a07562c6fc7381afb71d964f134eee11ec8"
}

Generated in

5.2 seconds

Tweak it Report

This output was created using a different version of the model, simbrams/segformer-b5-finetuned-ade-640-640:d61f5e50.

Run time and cost

This model costs approximately $0.0014 to run on Replicate, or 714 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 7 seconds.

Readme

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