stphtan94117/escalator_passenger_counting:f5fd78b9

Version

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stphtan94117 /escalator_passenger_counting:f5fd78b9

Playground API

Input

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

npx create-replicate --model=stphtan94117/escalator_passenger_counting

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

const output = await replicate.run(
  "stphtan94117/escalator_passenger_counting:f5fd78b9de31fc8967180725722e8dad64a191a55cb2c1a5e2fefb4f3a6aa61c",
  {
    input: {
      up_coordinates: "103 261 396 261",
      down_coordinates: "527 489 735 489"
    }
  }
);
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/escalator_passenger_counting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stphtan94117/escalator_passenger_counting:f5fd78b9de31fc8967180725722e8dad64a191a55cb2c1a5e2fefb4f3a6aa61c",
    input={
        "up_coordinates": "103 261 396 261",
        "down_coordinates": "527 489 735 489"
    }
)
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/escalator_passenger_counting 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": "f5fd78b9de31fc8967180725722e8dad64a191a55cb2c1a5e2fefb4f3a6aa61c",
    "input": {
      "up_coordinates": "103 261 396 261",
      "down_coordinates": "527 489 735 489"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run stphtan94117/escalator_passenger_counting using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/stphtan94117/escalator_passenger_counting@sha256:f5fd78b9de31fc8967180725722e8dad64a191a55cb2c1a5e2fefb4f3a6aa61c \
  -i 'up_coordinates="103 261 396 261"' \
  -i 'down_coordinates="527 489 735 489"'

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

Pull and run stphtan94117/escalator_passenger_counting using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/stphtan94117/escalator_passenger_counting@sha256:f5fd78b9de31fc8967180725722e8dad64a191a55cb2c1a5e2fefb4f3a6aa61c
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "up_coordinates": "103 261 396 261",
      "down_coordinates": "527 489 735 489"
    }
  }' \
  http://localhost:5000/predictions

Output

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