Tea Segmentation Demo
input image
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run simonzeng7108/tea-seg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "simonzeng7108/tea-seg:dc29d45d2dc863816d07121c817e3317cdb6492211da26981e2c6f5622f83ee8", { input: { image: "https://replicate.delivery/pbxt/KSyJhPkOQpOcawF5U1P7sCkudpUBXPncmh7wzWfSBivDUuM6/img000.jpg" } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
import replicate
output = replicate.run( "simonzeng7108/tea-seg:dc29d45d2dc863816d07121c817e3317cdb6492211da26981e2c6f5622f83ee8", input={ "image": "https://replicate.delivery/pbxt/KSyJhPkOQpOcawF5U1P7sCkudpUBXPncmh7wzWfSBivDUuM6/img000.jpg" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "simonzeng7108/tea-seg:dc29d45d2dc863816d07121c817e3317cdb6492211da26981e2c6f5622f83ee8", "input": { "image": "https://replicate.delivery/pbxt/KSyJhPkOQpOcawF5U1P7sCkudpUBXPncmh7wzWfSBivDUuM6/img000.jpg" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{ "completed_at": "2024-02-25T17:09:40.922588Z", "created_at": "2024-02-25T17:09:39.038875Z", "data_removed": false, "error": null, "id": "fo6fecjbzoqwzce3figebcuks4", "input": { "image": "https://replicate.delivery/pbxt/KSyJhPkOQpOcawF5U1P7sCkudpUBXPncmh7wzWfSBivDUuM6/img000.jpg" }, "logs": null, "metrics": { "predict_time": 1.864655, "total_time": 1.883713 }, "output": [ "https://replicate.delivery/pbxt/dI9mkDUbmyL2DZgNbvKljpuZNsDMLm8h8fdAf6HnDFTUZSaSA/cutout.png" ], "started_at": "2024-02-25T17:09:39.057933Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fo6fecjbzoqwzce3figebcuks4", "cancel": "https://api.replicate.com/v1/predictions/fo6fecjbzoqwzce3figebcuks4/cancel" }, "version": "dc29d45d2dc863816d07121c817e3317cdb6492211da26981e2c6f5622f83ee8" }
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This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
Choose a file from your machine
Hint: you can also drag files onto the input