leandroamaral/segmentanything | Run with an API on Replicate

Input

image

*file

Input image

model_name

string

choose a model

Default: "FastSAM-x"

iou

number

iou threshold for filtering the annotations

Default: 0.7

text_prompt

string

Shift + Return to add a new line

use text prompt eg: "a black dog"

conf

number

object confidence threshold

Default: 0.25

retina

boolean

draw high-resolution segmentation masks

Default: true

box_prompt

string

Shift + Return to add a new line

[x,y,w,h]

Default: "[0,0,0,0]"

point_prompt

string

Shift + Return to add a new line

[[x1,y1],[x2,y2]]

Default: "[[0,0]]"

point_label

string

Shift + Return to add a new line

[1,0] 0:background, 1:foreground

Default: "[0]"

withContours

boolean

draw the edges of the masks

Default: false

better_quality

boolean

better quality using morphologyEx

Default: false

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

npx create-replicate --model=leandroamaral/segmentanything

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";
import fs from "node:fs";

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

Run leandroamaral/segmentanything using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "leandroamaral/segmentanything:03344e9166342605cdb629b3cc33bf5b479c919245155af222463a5d42fa97d4",
  {
    input: {
      iou: 0.7,
      conf: 0.25,
      image: "https://replicate.delivery/pbxt/K4E8TaybuiJvMtKVh5sB0suw44if4fbxktQDr1012kakXp6c/6121el8NPZL._AC_SX569_%20%281%29.jpg",
      retina: true,
      box_prompt: "[0,0,0,0]",
      model_name: "FastSAM-x",
      point_label: "[1]",
      point_prompt: "[[200,200]]",
      withContours: false,
      better_quality: false
    }
  }
);

// 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

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 leandroamaral/segmentanything using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "leandroamaral/segmentanything:03344e9166342605cdb629b3cc33bf5b479c919245155af222463a5d42fa97d4",
    input={
        "iou": 0.7,
        "conf": 0.25,
        "image": "https://replicate.delivery/pbxt/K4E8TaybuiJvMtKVh5sB0suw44if4fbxktQDr1012kakXp6c/6121el8NPZL._AC_SX569_%20%281%29.jpg",
        "retina": True,
        "box_prompt": "[0,0,0,0]",
        "model_name": "FastSAM-x",
        "point_label": "[1]",
        "point_prompt": "[[200,200]]",
        "withContours": False,
        "better_quality": False
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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 leandroamaral/segmentanything 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": "leandroamaral/segmentanything:03344e9166342605cdb629b3cc33bf5b479c919245155af222463a5d42fa97d4",
    "input": {
      "iou": 0.7,
      "conf": 0.25,
      "image": "https://replicate.delivery/pbxt/K4E8TaybuiJvMtKVh5sB0suw44if4fbxktQDr1012kakXp6c/6121el8NPZL._AC_SX569_%20%281%29.jpg",
      "retina": true,
      "box_prompt": "[0,0,0,0]",
      "model_name": "FastSAM-x",
      "point_label": "[1]",
      "point_prompt": "[[200,200]]",
      "withContours": false,
      "better_quality": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

0.8 seconds

Tweak itReport View full prediction

This output was created using a different version of the model, leandroamaral/segmentanything:8a1fbd7f.

Examples

View more examples

Run time and cost

This model costs approximately $0.00022 to run on Replicate, or 4545 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 1 seconds.

Readme

This model doesn't have a readme.