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vietanhdev authored Oct 24, 2023
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[![open issues](https://isitmaintained.com/badge/open/nrl-ai/daisykit.svg)](https://github.com/nrl-ai/daisykit/issues)
[![Pypi Downloads](https://pepy.tech/badge/daisykit/month)](https://pypi.org/project/daisykit/)

<a href="https://www.producthunt.com/posts/daisykit?utm_source=badge-featured&utm_medium=badge&utm_souce=badge-daisykit" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=385715&theme=light" alt="Daisykit - A&#0032;library&#0032;for&#0032;building&#0032;AI&#0032;applications&#0032;without&#0032;AI&#0032;knowledge | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>

[DaisyKit](https://daisykit.nrl.ai) is an easy AI toolkit with face mask detection, pose detection, background matting, barcode detection and more. This open source project includes:
[DaisyKit](https://daisykit.nrl.ai) is an easy AI toolkit with face mask detection, pose detection, background matting, barcode detection, and more. This open-source project includes the following:

- **DaisyKit SDK - C++**, the core of models and algorithms in NCNN deep learning framework.
- **DaisyKit Python** wrapper for easy integration with Python.
- **DaisyKit Android** - Example app demonstrate how to use Daisykit SDK in Android.
- **DaisyKit Android** - Example app demonstrates how to use Daisykit SDK in Android.

**Links:**

- **Python Package:** [https://pypi.org/project/daisykit/](https://pypi.org/project/daisykit/)
- **Documentation:** [https://daisykit.nrl.ai/docs](https://daisykit.nrl.ai/docs)
- **Python Package:** [https://pypi.org/project/daisykit/](https://pypi.org/project/daisykit/).
- **Documentation:** [https://daisykit.nrl.ai/docs](https://daisykit.nrl.ai/docs).
- **Sponsor this project:** [https://github.com/sponsors/vietanhdev](https://github.com/sponsors/vietanhdev).

<a href="https://www.youtube.com/watch?v=zKP8sgGoFMc">
<img src="https://user-images.githubusercontent.com/18329471/224732779-3d2ce7b0-de53-4b9d-b9a8-890557eead16.png"/>
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## 3. C++ Coding convention

Read coding convention and contribution guidelines [here](https://daisykit.nrl.ai/docs/contribution).
Read the coding convention and contribution guidelines [here](https://daisykit.nrl.ai/docs/contribution).

## 4. Known issues and problems

- **Slow model inference - Low FPS**

This issue can happen on development build. Add `-DCMAKE_BUILD_TYPE=Debug` to `cmake` command and build again. The FPS can be much better.
This issue can happen on development builds. Add `-DCMAKE_BUILD_TYPE=Debug` to `cmake` command and build again. The FPS can be much better.

## 5. References

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