https://github.com/toanbku/tf-bypass-captcha

https://github.com/toanbku/tf-bypass-captcha

Last synced: 3 days ago
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• Host: GitHub
• URL: https://github.com/toanbku/tf-bypass-captcha
• Owner: toanbku
• Created: 2024-01-02T14:15:21.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-03T07:13:02.000Z (about 1 year ago)
• Last Synced: 2024-11-10T08:32:29.890Z (2 months ago)
• Language: JavaScript
• Size: 15 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Auto pass ReCAPTCHA

---

Object Detection application right in your browser. Serving YOLOv8 in browser using tensorflow.js

with `webgl` backend.

**Scripts**

```bash

pnpm start # Start dev server

pnpm build # Build for productions

```

## Model

YOLOv8n model converted to tensorflow.js.

```

used model : yolov8n

size       : 13 Mb

```

**Use another model**

Use another YOLOv8 model.

1. Export YOLOv8 model to tfjs format. Read more on the [official documentation](https://docs.ultralytics.com/tasks/detection/#export)

   ```python

   from ultralytics import YOLO

   # Load a model

   model = YOLO("yolov8n.pt")  # load an official model

   # Export the model

   model.export(format="tfjs")

   ```

2. Copy `yolov8*_web_model` to `./public`

3. Update `modelName` in `App.jsx` to new model name

   ```jsx

   ...

   // model configs

   const modelName = "yolov8*"; // change to new model name

   ...

   ```

4. Done! 😊

**Note: Custom Trained YOLOv8 Models**

Please update `src/utils/labels.json` with your new classes.

## Reference

- https://github.com/Hyuto/yolov8-tfjs

- https://github.com/ultralytics/ultralytics

- https://github.com/Hyuto/yolov8-onnxruntime-web