bencevans/megadetector-v5a | Run with an API on Replicate

bencevans / megadetector-v5a

Detect Animals, Humans and Vehicles in Camera Trap Imagery with MegaDetector v5a (Updated 2 years, 2 months ago)

Cold

Public
558 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=bencevans/megadetector-v5a

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 bencevans/megadetector-v5a using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bencevans/megadetector-v5a:cd30d71e39a456a2b43580b03c199bb305200e7c62b0054d8c9014c4e11e7259",
  {
    input: {
      iou: 0.45,
      conf: 0.1,
      image: "https://replicate.delivery/pbxt/LsYcS4CS8wu8axvCa5K8aIkZoF6CeSrjytmJXbPdDeIMVmmp/IMG_0169.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 bencevans/megadetector-v5a using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bencevans/megadetector-v5a:cd30d71e39a456a2b43580b03c199bb305200e7c62b0054d8c9014c4e11e7259",
    input={
        "iou": 0.45,
        "conf": 0.1,
        "image": "https://replicate.delivery/pbxt/LsYcS4CS8wu8axvCa5K8aIkZoF6CeSrjytmJXbPdDeIMVmmp/IMG_0169.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 bencevans/megadetector-v5a 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": "bencevans/megadetector-v5a:cd30d71e39a456a2b43580b03c199bb305200e7c62b0054d8c9014c4e11e7259",
    "input": {
      "iou": 0.45,
      "conf": 0.1,
      "image": "https://replicate.delivery/pbxt/LsYcS4CS8wu8axvCa5K8aIkZoF6CeSrjytmJXbPdDeIMVmmp/IMG_0169.JPG"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

bbox

[ 0.5012515783309937, 0.28547045588493347, 0.18905991315841675, 0.21567268669605255 ]

conf

0.9230549335479736

Run time and cost

This model costs approximately $0.00022 to run on Replicate, or 4545 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 1 seconds.

Readme

This model doesn't have a readme.