hilongjw / section-ui-detector

Cold

Public
40 runs
CPU

Iterate in the playground

Run with an API

Playground API Examples README Versions

Prediction

hilongjw/section-ui-detector:b19020b3472913dbc22cb492ee0904f13ac27d19788bb532da52a5937b499a27

Model

hilongjw/section-ui-detector:b19020b3

mtcc4gzbnhklycbf35eog5qff4

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

63.1s

Created

over 1 year ago

Input

iou: 0.45
image
imgsz: 640
show_conf
show_text
threshold: 0.6

{
  "iou": 0.45,
  "image": "https://replicate.delivery/pbxt/JWZEcff1EUyEIrqYk3M3rMyR1vHof0hOjI1rRWRsBhM48set/screenshot-20230913-155621.png",
  "imgsz": 640,
  "show_conf": true,
  "show_text": true,
  "threshold": 0.6
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run hilongjw/section-ui-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "hilongjw/section-ui-detector:b19020b3472913dbc22cb492ee0904f13ac27d19788bb532da52a5937b499a27",
  {
    input: {
      iou: 0.45,
      image: "https://replicate.delivery/pbxt/JWZEcff1EUyEIrqYk3M3rMyR1vHof0hOjI1rRWRsBhM48set/screenshot-20230913-155621.png",
      imgsz: 640,
      show_conf: true,
      show_text: true,
      threshold: 0.6
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

Run hilongjw/section-ui-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "hilongjw/section-ui-detector:b19020b3472913dbc22cb492ee0904f13ac27d19788bb532da52a5937b499a27",
    input={
        "iou": 0.45,
        "image": "https://replicate.delivery/pbxt/JWZEcff1EUyEIrqYk3M3rMyR1vHof0hOjI1rRWRsBhM48set/screenshot-20230913-155621.png",
        "imgsz": 640,
        "show_conf": True,
        "show_text": True,
        "threshold": 0.6
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run hilongjw/section-ui-detector 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": "hilongjw/section-ui-detector:b19020b3472913dbc22cb492ee0904f13ac27d19788bb532da52a5937b499a27",
    "input": {
      "iou": 0.45,
      "image": "https://replicate.delivery/pbxt/JWZEcff1EUyEIrqYk3M3rMyR1vHof0hOjI1rRWRsBhM48set/screenshot-20230913-155621.png",
      "imgsz": 640,
      "show_conf": true,
      "show_text": true,
      "threshold": 0.6
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-09-14T04:13:00.028635Z",
  "created_at": "2023-09-14T04:11:56.939518Z",
  "data_removed": false,
  "error": null,
  "id": "mtcc4gzbnhklycbf35eog5qff4",
  "input": {
    "iou": 0.45,
    "image": "https://replicate.delivery/pbxt/JWZEcff1EUyEIrqYk3M3rMyR1vHof0hOjI1rRWRsBhM48set/screenshot-20230913-155621.png",
    "imgsz": 640,
    "show_conf": true,
    "show_text": true,
    "threshold": 0.6
  },
  "logs": "image /tmp/tmpow0rlx32screenshot-20230913-155621.png\nimg_path /tmp/tmpow0rlx32screenshot-20230913-155621.png\n0: 608x640 8 Containers, 20 Titles, 2 Icons, 3 Paragraphs, 2 ContainerPills, 1 SectionImage, 131.4ms\nSpeed: 12.8ms preprocess, 131.4ms inference, 2.9ms postprocess per image at shape (1, 3, 608, 640)\nresult: ultralytics.engine.results.Results object with attributes:\nboxes: ultralytics.engine.results.Boxes object\nkeypoints: None\nkeys: ['boxes']\nmasks: None\nnames: {0: 'Container', 1: 'Title', 2: 'Image', 3: 'Icon', 4: 'Paragraph', 5: 'Background', 6: 'IrregularImage', 7: 'BackgroundImage', 8: 'ContainerPill', 9: 'ContainerCircle', 10: 'ImageCircle', 11: 'Section', 12: 'SectionImage', 13: 'SectionGradient'}\norig_img: array([[[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0],\n...,\n[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0]],\n[[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0],\n...,\n[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0]],\n[[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0],\n...,\n[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0]],\n...,\n[[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0],\n...,\n[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0]],\n[[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0],\n...,\n[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0]],\n[[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0],\n...,\n[0, 0, 0],\n[0, 0, 0],\n[0, 0, 0]]], dtype=uint8)\norig_shape: (1544, 1708)\npath: '/tmp/tmpow0rlx32screenshot-20230913-155621.png'\nprobs: None\nsave_dir: None\nspeed: {'preprocess': 12.766122817993164, 'inference': 131.4380168914795, 'postprocess': 2.891063690185547}",
  "metrics": {
    "predict_time": 3.735636,
    "total_time": 63.089117
  },
  "output": "https://pbxt.replicate.delivery/MQInzzskUW5eKKtg9CQ9OsvSee8UUYDUiQnfvu5Sim5skOQGB/output_tmpow0rlx32screenshot-20230913-155621.png",
  "started_at": "2023-09-14T04:12:56.292999Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/mtcc4gzbnhklycbf35eog5qff4",
    "cancel": "https://api.replicate.com/v1/predictions/mtcc4gzbnhklycbf35eog5qff4/cancel"
  },
  "version": "b19020b3472913dbc22cb492ee0904f13ac27d19788bb532da52a5937b499a27"
}

Generated in

3.7 seconds

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