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# WAZP 🐝
**W**asp **A**nimal-tracking **Z**oo project with **P**ose estimation
(name is subject to refinement)

## Overview

WAZP is a dashboard built with [Dash-Plotly](https://dash.plotly.com/) for analysing animal tracking data. It can display pose estimation output from [DeepLabCut](https://github.com/DeepLabCut/DeepLabCut).

The package is currently in early development 🏗️ and is not yet ready for use. Stay tuned ⌛

## Installation

We recommend you install WAZP inside a [conda](https://docs.conda.io/en/latest/) environment.
Once you have `conda` installed, the following will create and activate an environment. You can call your environment whatever you like, we've used `wazp-env`.

```sh
conda create -n wazp-env -c conda-forge python=3 pytables
conda activate wazp-env
```

Next install the latest version of WAZP from pip:

```sh
pip install wazp
```

## Launching the dashboard

Once installed, launch the dashboard by running the following command from the root of the repository:

```sh
startwazp
```
This will launch a local web server. If the dashboard does not automatically open in your default browser, click the link in the terminal to open it (the link will be of the form `http://localhost:8050/`).

## License

⚖️ [BSD 3-Clause](https://opensource.org/licenses/BSD-3-Clause)


Wasp Animal-tracking Zoo project with Pose estimation. 

 Socket raises $60M Series C at a $1B valuation to secure software supply chains for AI-driven development

WAZP

Wasp Animal-tracking Zoo project with Pose estimation

niksirbi

scnlf

sminano

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WAZP

WAZP 🐝

Overview

Installation

Launching the dashboard

License

Related posts

Feross on TBPN: Socket's Series C and the State of Software Supply Chain Security

OSV Withdraws 157 Malware Reports After Automated False Positives Hit npm and PyPI