stphtan94117/auto-blurring-of-faces-and-license_plates

Input

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

npx create-replicate --model=stphtan94117/auto-blurring-of-faces-and-license_plates

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";
import fs from "node:fs";

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

Run stphtan94117/auto-blurring-of-faces-and-license_plates using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "stphtan94117/auto-blurring-of-faces-and-license_plates:cfd055c74c28853bb7cd4f84c6f102475c19425fa0f8ed831b657670bedfc6ea",
  {
    input: {
      blur: 35,
      file: "https://replicate.delivery/pbxt/JTpA5ETnu2fk84k1ovEQ8JJZuCKnBFXoUbSDH9kG88Ve8CwS/1.jpg",
      size: "1280",
      classes: "All",
      hide_bbox: true,
      iou_thres: 0.45,
      conf_thres: 0.25,
      line_thickness: 3
    }
  }
);

// 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

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/auto-blurring-of-faces-and-license_plates using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stphtan94117/auto-blurring-of-faces-and-license_plates:cfd055c74c28853bb7cd4f84c6f102475c19425fa0f8ed831b657670bedfc6ea",
    input={
        "blur": 35,
        "file": "https://replicate.delivery/pbxt/JTpA5ETnu2fk84k1ovEQ8JJZuCKnBFXoUbSDH9kG88Ve8CwS/1.jpg",
        "size": "1280",
        "classes": "All",
        "hide_bbox": True,
        "iou_thres": 0.45,
        "conf_thres": 0.25,
        "line_thickness": 3
    }
)
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/auto-blurring-of-faces-and-license_plates 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/auto-blurring-of-faces-and-license_plates:cfd055c74c28853bb7cd4f84c6f102475c19425fa0f8ed831b657670bedfc6ea",
    "input": {
      "blur": 35,
      "file": "https://replicate.delivery/pbxt/JTpA5ETnu2fk84k1ovEQ8JJZuCKnBFXoUbSDH9kG88Ve8CwS/1.jpg",
      "size": "1280",
      "classes": "All",
      "hide_bbox": true,
      "iou_thres": 0.45,
      "conf_thres": 0.25,
      "line_thickness": 3
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-09-06T10:51:51.993858Z",
  "created_at": "2023-09-06T10:43:33.287556Z",
  "data_removed": false,
  "error": null,
  "id": "p43e7tjbvpz4hgbphspnifqce4",
  "input": {
    "blur": 35,
    "file": "https://replicate.delivery/pbxt/JTpA5ETnu2fk84k1ovEQ8JJZuCKnBFXoUbSDH9kG88Ve8CwS/1.jpg",
    "size": "1280",
    "classes": "All",
    "hide_bbox": true,
    "iou_thres": 0.45,
    "conf_thres": 0.25,
    "line_thickness": 3
  },
  "logs": "\u001b[34m\u001b[1mreplicate/blur: \u001b[0mweights=https://huggingface.co/spaces/stphtan94117/AI_color/resolve/main/blur.pt, source=/tmp/tmpvmoo8tlv1.jpg, data=data/coco128.yaml, imgsz=[1280, 1280], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=0, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=[0, 1], agnostic_nms=False, augment=False, visualize=False, update=False, project=tmp_files, name=, exist_ok=True, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1, blur=35, hide_bbox=True\nYOLOv5 🚀 2023-2-20 Python-3.8.17 torch-1.8.1+cu111 CUDA:0 (Tesla T4, 14928MiB)\nDownloading https://huggingface.co/spaces/stphtan94117/AI_color/resolve/main/blur.pt to blur.pt...\n  0%|          | 0.00/14.4M [00:00<?, ?B/s]\n  2%|▏         | 328k/14.4M [00:00<00:04, 3.36MB/s]\n 43%|████▎     | 6.20M/14.4M [00:00<00:00, 37.5MB/s]\n 88%|████████▊ | 12.7M/14.4M [00:00<00:00, 45.9MB/s]\n100%|██████████| 14.4M/14.4M [00:00<00:00, 44.8MB/s]\nFusing layers...\nModel summary: 157 layers, 7015519 parameters, 0 gradients\nimage 1/1 /tmp/tmpvmoo8tlv1.jpg: 672x1280 2 faces, 1 license_plate, 32.3ms\nSpeed: 1.9ms pre-process, 32.3ms inference, 35.6ms NMS per image at shape (1, 3, 1280, 1280)\nResults saved to \u001b[1mtmp_files\u001b[0m",
  "metrics": {
    "predict_time": 19.342838,
    "total_time": 498.706302
  },
  "output": "https://replicate.delivery/pbxt/S4Ks4LsovQ7fQy7pMJ85ENeYYfv6RbKT4aq5lQKFP3QPeCGGB/tmpvmoo8tlv1.jpg",
  "started_at": "2023-09-06T10:51:32.651020Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/p43e7tjbvpz4hgbphspnifqce4",
    "cancel": "https://api.replicate.com/v1/predictions/p43e7tjbvpz4hgbphspnifqce4/cancel"
  },
  "version": "cfd055c74c28853bb7cd4f84c6f102475c19425fa0f8ed831b657670bedfc6ea"
}

Generated in

19.4 seconds

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Examples

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Run time and cost

This model costs approximately $0.061 to run on Replicate, or 16 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 5 minutes. The predict time for this model varies significantly based on the inputs.

Readme

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