syedatasneem110/object_detectionv8 | Run with an API on Replicate

Input

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

npx create-replicate --model=syedatasneem110/object_detectionv8

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 syedatasneem110/object_detectionv8 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "syedatasneem110/object_detectionv8:9d23a7fd7a2c83763d66840b5630e425dca83d1d056faa44b4ec5d2ede1b3622",
  {
    input: {
      nms: 0.3,
      conf: 0.3,
      tsize: 640,
      model_name: "yolox-s",
      return_json: 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 syedatasneem110/object_detectionv8 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "syedatasneem110/object_detectionv8:9d23a7fd7a2c83763d66840b5630e425dca83d1d056faa44b4ec5d2ede1b3622",
    input={
        "nms": 0.3,
        "conf": 0.3,
        "tsize": 640,
        "model_name": "yolox-s",
        "return_json": 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 syedatasneem110/object_detectionv8 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": "syedatasneem110/object_detectionv8:9d23a7fd7a2c83763d66840b5630e425dca83d1d056faa44b4ec5d2ede1b3622",
    "input": {
      "nms": 0.3,
      "conf": 0.3,
      "tsize": 640,
      "model_name": "yolox-s",
      "return_json": 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.

Run time and cost

This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.