semvec/pypi-packages huggingface dataset:
deeplabcutcore 0.1
Headless DeepLabCut

# DeepLabCut-core <img src="https://images.squarespace-cdn.com/content/v1/57f6d51c9f74566f55ecf271/1572296495650-Y4ZTJ2XP2Z9XF1AD74VW/ke17ZwdGBToddI8pDm48kMulEJPOrz9Y8HeI7oJuXxR7gQa3H78H3Y0txjaiv_0fDoOvxcdMmMKkDsyUqMSsMWxHk725yiiHCCLfrh8O1z5QPOohDIaIeljMHgDF5CVlOqpeNLcJ80NK65_fV7S1UZiU3J6AN9rgO1lHw9nGbkYQrCLTag1XBHRgOrY8YAdXW07ycm2Trb21kYhaLJjddA/DLC_logo_blk-01.png?format=1000w" width="350" title="DLC-core" alt="DLC CORE!" align="right" vspace = "50">

Core functionalities of DeepLabCut, excluding all GUI functions.

**Currently up to date with [DeepLabCut v2.1.8.1](https://github.com/AlexEMG/DeepLabCut/tree/v2.1.8.1). AND uses tensorflow 2.X**

Please be aware, you can create projects, etc. with the full deeplabcut package. Here, you will need to create the training set and train, evaluate, etc. not inter-mixing with using the deeplabcut package (it currently supports tensorflow 1.x). We recommend looking at this [google colab notebook](/Colab_TrainNetwork_VideoAnalysis_TF2.ipynb) to help you, and [this blog post](http://www.mousemotorlab.org/deeplabcutblog/2020/11/23/rolling-up-to-tensorflow-2) about our transitition to tensorflow 2.

![Python package](https://github.com/DeepLabCut/DeepLabCut-core/workflows/Python%20package/badge.svg?branch=master)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/deeplabcutcore)
[![License](https://img.shields.io/pypi/l/deeplabcutcore.svg)](https://github.com/DeepLabCut/deeplabcutcore/raw/master/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/deeplabcutcore.svg)](https://pypi.org/project/deeplabcutcore)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/deeplabcutcore.svg?color=purple&label=PyPi)](https://pypistats.org/packages/deeplabcutcore)


Install from GitHub:
``` pip install git+https://github.com/DeepLabCut/DeepLabCut-core ```

PyPi:
```pip install deeplabcutcore```

Documentation is located at [DeepLabCut's main GitHub page](https://github.com/AlexEMG/DeepLabCut/blob/master/docs/UseOverviewGuide.md).
eichhoernchen 2.2
Lightweight curses-based time tracking tool.

# Eichhörnchen
[![](https://github.com/PascalinDe/eichhoernchen/workflows/Python%20package/badge.svg)](https://github.com/PascalinDe/eichhoernchen/actions/runs/)
[![](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

Lightweight curses-based time tracking tool.

![Eichhörnchen](/screenshots/eichhoernchen-intro.png?raw=true)

## Table of contents

1. [Table of contents](#table-of-contents)
2. [Features](#features)
3. [Installation](#installation)
4. [Configuration](#configuration)
5. [Usage](#usage)

## Features

* start and stop tasks
* add new tasks
* edit or remove existing tasks
* list tasks
* sum up run times
* show summary
* export tasks to CSV or JSON

Also,

* curses-based user interface
* standard library only

## Installation

To install Eichhörnchen using ``pip`` run the following command:

```bash
pip install eichhoernchen
```

## Configuration

The default location of the configuration file is
``~/.config/eichhoernchen.ini``. An alternate configuration
file can be specified using the ``-c, --config`` argument.

### Minimal configuration

The configuration file is an INI file and has to contain
at least the following section:

```ini
[database]
dbname = eichhoernchen.db
path = /home/user/.local/share
```

The ``dbname`` specifies the name of the SQLite3 database, and
``path`` its path.

### Aliases

To define aliases for the commands, add the ``aliases`` section
to define one or more aliases per command:

```ini
[aliases]
list = ["ls"]
remove = ["rm", "rem"]
```

## Usage

```bash
usage: eichhoernchen [-h] [-c CONFIG] [--version]

Lightweight curses-based time tracking tool.

optional arguments:
  -h, --help            show this help message and exit
  -c CONFIG, --config CONFIG
                        use this configuration file
  --version             show program's version number and exit
```

When inside the program use the ``help`` or ``?`` commands to list
available commands or ``help command`` to show the command's
help message.

Use Control+D to close windows and abort operations. Control+C will
exit the program.