casia-iva-lab/fastsam:371aeee1 – Run with an API on Replicate

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casia-iva-lab /fastsam:371aeee1

Playground API

Input

input_image

*file

Input image

model_name

string

choose a model

Default: "FastSAM-x"

image_size

integer

Choose image size

Default: 640

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=casia-iva-lab/fastsam

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 casia-iva-lab/fastsam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "casia-iva-lab/fastsam:371aeee1ce0c5efd25bbef7a4527ec9e59188b963ebae1eeb851ddc145685c17",
  {
    input: {
      iou: 0.9,
      conf: 0.4,
      retina: true,
      box_prompt: "[0,0,0,0]",
      image_size: 640,
      model_name: "FastSAM-x",
      input_image: "https://replicate.delivery/pbxt/J45o004GBhb0mvUJgqQlaMM7lmHkdcOF5e1FV2yFFXttNbCH/download.jpeg",
      point_label: "[0]",
      point_prompt: "[[0,0]]",
      withContours: true,
      better_quality: 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 casia-iva-lab/fastsam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "casia-iva-lab/fastsam:371aeee1ce0c5efd25bbef7a4527ec9e59188b963ebae1eeb851ddc145685c17",
    input={
        "iou": 0.9,
        "conf": 0.4,
        "retina": True,
        "box_prompt": "[0,0,0,0]",
        "image_size": 640,
        "model_name": "FastSAM-x",
        "input_image": "https://replicate.delivery/pbxt/J45o004GBhb0mvUJgqQlaMM7lmHkdcOF5e1FV2yFFXttNbCH/download.jpeg",
        "point_label": "[0]",
        "point_prompt": "[[0,0]]",
        "withContours": True,
        "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 casia-iva-lab/fastsam 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": "371aeee1ce0c5efd25bbef7a4527ec9e59188b963ebae1eeb851ddc145685c17",
    "input": {
      "iou": 0.9,
      "conf": 0.4,
      "retina": true,
      "box_prompt": "[0,0,0,0]",
      "image_size": 640,
      "model_name": "FastSAM-x",
      "input_image": "https://replicate.delivery/pbxt/J45o004GBhb0mvUJgqQlaMM7lmHkdcOF5e1FV2yFFXttNbCH/download.jpeg",
      "point_label": "[0]",
      "point_prompt": "[[0,0]]",
      "withContours": true,
      "better_quality": 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/casia-iva-lab/fastsam@sha256:371aeee1ce0c5efd25bbef7a4527ec9e59188b963ebae1eeb851ddc145685c17 \
  -i 'iou=0.9' \
  -i 'conf=0.4' \
  -i 'retina=true' \
  -i 'box_prompt="[0,0,0,0]"' \
  -i 'image_size=640' \
  -i 'model_name="FastSAM-x"' \
  -i 'input_image="https://replicate.delivery/pbxt/J45o004GBhb0mvUJgqQlaMM7lmHkdcOF5e1FV2yFFXttNbCH/download.jpeg"' \
  -i 'point_label="[0]"' \
  -i 'point_prompt="[[0,0]]"' \
  -i 'withContours=true' \
  -i 'better_quality=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 --gpus=all r8.im/casia-iva-lab/fastsam@sha256:371aeee1ce0c5efd25bbef7a4527ec9e59188b963ebae1eeb851ddc145685c17
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "iou": 0.9,
      "conf": 0.4,
      "retina": true,
      "box_prompt": "[0,0,0,0]",
      "image_size": 640,
      "model_name": "FastSAM-x",
      "input_image": "https://replicate.delivery/pbxt/J45o004GBhb0mvUJgqQlaMM7lmHkdcOF5e1FV2yFFXttNbCH/download.jpeg",
      "point_label": "[0]",
      "point_prompt": "[[0,0]]",
      "withContours": true,
      "better_quality": false
    }
  }' \
  http://localhost:5000/predictions

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

Output

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