peekingduck 1.3.0.post1
A modular framework built to simplify Computer Vision inference workloads.
Requires Python: <3.10,>=3.6
Keywords: 'peekingduck','computer vision','inference','edge'

<br />

<img src="https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/peekingduck.svg">

---

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<h4 align="center">
  <a href="https://peekingduck.readthedocs.io/en/stable/getting_started/index.html">Getting started</a>
  <span> · </span>
  <a href="https://peekingduck.readthedocs.io/en/stable/tutorials/index.html">Tutorials</a>
  <span> · </span>
  <a href="https://peekingduck.readthedocs.io/en/stable/master.html#api-documentation">API docs</a>
  <span> · </span>
  <a href="https://peekingduck.readthedocs.io/en/stable/faq.html">FAQ</a>
  <span> · </span>
  <a href="https://github.com/aisingapore/PeekingDuck/issues">Report a bug</a>
  <span> · </span>
  <a href="#communities">Communities</a>
</h4>

---

**PeekingDuck** is an open-source, modular framework in Python, built for Computer Vision (CV) inference. The name "PeekingDuck" is a play on: "Peeking" in a nod to CV; and "Duck" in [duck typing](https://en.wikipedia.org/wiki/Duck_typing).


Features
--------

### Build realtime CV pipelines
* PeekingDuck enables you to build powerful CV pipelines with minimal lines of code.

### Leverage on SOTA models
* PeekingDuck comes with various [object detection](https://peekingduck.readthedocs.io/en/stable/resources/01a_object_detection.html), [pose estimation](https://peekingduck.readthedocs.io/en/stable/resources/01b_pose_estimation.html), [object tracking](https://peekingduck.readthedocs.io/en/stable/resources/01c_object_tracking.html), and [crowd counting](https://peekingduck.readthedocs.io/en/stable/resources/01d_crowd_counting.html) models. Mix and match different nodes to construct solutions for various [use cases](https://peekingduck.readthedocs.io/en/stable/use_cases/index.html).

### Create custom nodes
* You can create [custom nodes](https://peekingduck.readthedocs.io/en/stable/tutorials/02_duck_confit.html#custom-nodes) to meet your own project's requirements. PeekingDuck can also be [imported as a library](https://peekingduck.readthedocs.io/en/stable/tutorials/05_calling_peekingduck_in_python.html) to fit into your existing workflows.


Installation
------------

Install from [PyPI](https://pypi.org/project/peekingduck/) using `pip`

```
> pip install peekingduck
```

*Note: for users with ARM-based devices such as a Raspberry Pi or Apple Silicon Mac, please refer to the documentation for more detailed [installation instructions](https://peekingduck.readthedocs.io/en/stable/getting_started/03_custom_install.html).*

PeekingDuck can also be [installed in a virtual environment](https://peekingduck.readthedocs.io/en/stable/getting_started/02_standard_install.html).


```
> peekingduck verify-install
```

You should see a video of a person waving his hand with
[bounding boxes overlaid](https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/getting_started/verify_install.gif).

The video will close automatically when it is run to the end, select the video window and press `q` to exit earlier.


Usage
-----

Create a project folder and initialize a PeekingDuck project.
```
> mkdir <project_dir>
> cd <project_dir>
> peekingduck init
```

Run the demo pipeline.
```
> peekingduck run
```

If you have a webcam, you should see a man waving on the output screen with
[skeletal frame overlaid](https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/getting_started/default_pipeline.gif).

Terminate the program by clicking on the output screen and pressing `q`.

Use `peekingduck --help` to display help information for PeekingDuck's command-line interface.


Gallery
-------

<table>
  <tr>
    <td>
      <a href="https://peekingduck.readthedocs.io/en/stable/use_cases/social_distancing.html">
        <img src="https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/use_cases/social_distancing.gif">
      </a>
    </td>
    <td>
      <a href="https://peekingduck.readthedocs.io/en/stable/use_cases/privacy_protection_faces.html">
        <img src="https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/use_cases/privacy_protection_faces.gif">
      </a>
    </td>
    <td>
      <a href="https://peekingduck.readthedocs.io/en/stable/use_cases/zone_counting.html">
        <img src="https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/use_cases/zone_counting.gif">
      </a>
    </td>
    <td>
      <a href="https://peekingduck.readthedocs.io/en/stable/use_cases/object_counting_over_time.html">
        <img src="https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/use_cases/object_counting_over_time.gif">
      </a>
    </td>
  </tr>
  <tr>
    <td>
      <a href="https://peekingduck.readthedocs.io/en/stable/use_cases/group_size_checking.html">
        <img src="https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/use_cases/group_size_checking.gif">
      </a>
    </td>
    <td>
      <a href="https://peekingduck.readthedocs.io/en/stable/use_cases/privacy_protection_license_plates.html">
        <img src="https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/use_cases/privacy_protection_license_plates.gif">
      </a>
    </td>
    <td>
      <a href="https://peekingduck.readthedocs.io/en/stable/use_cases/crowd_counting.html">
        <img src="https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/use_cases/crowd_counting.gif">
      </a>
    </td>
    <td>
      <a href="https://peekingduck.readthedocs.io/en/stable/use_cases/people_counting_over_time.html">
        <img src="https://raw.githubusercontent.com/aisingapore/PeekingDuck/main/docs/source/assets/use_cases/people_counting_over_time.gif">
      </a>
    </td>
  </tr>
</table>


Acknowledgements
----------------

This project is supported by the National Research Foundation, Singapore under its AI Singapore Programme (AISG-RP-2019-050). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore.


License
-------

PeekingDuck is under the open source [Apache License 2.0](https://github.com/aisingapore/PeekingDuck/blob/main/LICENSE) (:

Even so, your organization may require legal proof of its right to use PeekingDuck, due to circumstances such as the following:
- Your organization is using PeekingDuck in a jurisdiction that does not recognize this license
- Your legal department requires a license to be purchased
- Your organization wants to hold a tangible legal document as evidence of the legal right to use and distribute PeekingDuck

[Contact us](https://aisingapore.org/home/contact/) if any of these circumstances apply to you.


Communities
-----------

- [AI Singapore community forum](https://community.aisingapore.org/groups/computer-vision/forum/)
- [Discuss on GitHub](https://github.com/aisingapore/PeekingDuck/discussions)