stphtan94117/taiwan-licence-plate-recognition – Run with an API on Replicate

stphtan94117 / taiwan-licence-plate-recognition

Cold

Public
276 runs
T4

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=stphtan94117/taiwan-licence-plate-recognition

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 stphtan94117/taiwan-licence-plate-recognition using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "stphtan94117/taiwan-licence-plate-recognition:38f8ac2275563bd275cf07a9e79c7e2f9b38d0850a4c10a4958efba8b2362127",
  {
    input: {
      image: "https://replicate.delivery/pbxt/J97HjwmUukdoKSlUfhcwWtEflj7K6UGkuYziFIEcN1EP0pSm/7.jpg"
    }
  }
);

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 stphtan94117/taiwan-licence-plate-recognition using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stphtan94117/taiwan-licence-plate-recognition:38f8ac2275563bd275cf07a9e79c7e2f9b38d0850a4c10a4958efba8b2362127",
    input={
        "image": "https://replicate.delivery/pbxt/J97HjwmUukdoKSlUfhcwWtEflj7K6UGkuYziFIEcN1EP0pSm/7.jpg"
    }
)
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 stphtan94117/taiwan-licence-plate-recognition 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": "stphtan94117/taiwan-licence-plate-recognition:38f8ac2275563bd275cf07a9e79c7e2f9b38d0850a4c10a4958efba8b2362127",
    "input": {
      "image": "https://replicate.delivery/pbxt/J97HjwmUukdoKSlUfhcwWtEflj7K6UGkuYziFIEcN1EP0pSm/7.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

licence_plate

license_plate_number

AFA3090

licence_plate

license_plate_number

EWA5981

licence_plate

license_plate_number

203JUT

Generated in

1.2 seconds

Tweak itReport

Examples

View more examples

Run time and cost

This model costs approximately $0.013 to run on Replicate, or 76 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 59 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This is a specialized system for text recognition of Taiwanese license plates.