leandroamaral/segmentanything:8a1fbd7f – Run with an API on Replicate

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leandroamaral /segmentanything:8a1fbd7f

Playground API

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:8a1fbd7f4fd3d059078293f5e40ef07d879b5930425070310be8f2c4071ca9cc",
  {
    input: {
      iou: 0.7,
      conf: 0.25,
      retina: true,
      box_prompt: "[0,0,0,0]",
      model_name: "FastSAM-x",
      point_label: "[0]",
      point_prompt: "[[0,0]]",
      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:8a1fbd7f4fd3d059078293f5e40ef07d879b5930425070310be8f2c4071ca9cc",
    input={
        "iou": 0.7,
        "conf": 0.25,
        "retina": True,
        "box_prompt": "[0,0,0,0]",
        "model_name": "FastSAM-x",
        "point_label": "[0]",
        "point_prompt": "[[0,0]]",
        "withContours": False,
        "better_quality": 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 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:8a1fbd7f4fd3d059078293f5e40ef07d879b5930425070310be8f2c4071ca9cc",
    "input": {
      "iou": 0.7,
      "conf": 0.25,
      "retina": true,
      "box_prompt": "[0,0,0,0]",
      "model_name": "FastSAM-x",
      "point_label": "[0]",
      "point_prompt": "[[0,0]]",
      "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

No output yet! Press "Submit" to start a prediction.