semvec/pypi-packages huggingface dataset:
zbarcam 2020.524
Real time Barcode and QR Code scanner Edit

# zbarcam

[![Build Status](https://travis-ci.org/kivy-garden/zbarcam.svg?branch=develop)](https://travis-ci.org/kivy-garden/zbarcam)
[![Coverage Status](https://coveralls.io/repos/github/kivy-garden/zbarcam/badge.svg?branch=develop)](https://coveralls.io/github/kivy-garden/zbarcam?branch=develop)
[![PyPI version](https://badge.fury.io/py/zbarcam.svg)](https://badge.fury.io/py/zbarcam)
[![Documentation Status](https://readthedocs.org/projects/zbarcam/badge/?version=latest)](https://zbarcam.readthedocs.io/en/latest/?badge=latest)

Real time Barcode and QR Code scanner using the camera.
It's built on top of [Kivy](https://github.com/kivy/kivy) and [pyzbar](https://github.com/NaturalHistoryMuseum/pyzbar).

<img src="https://raw.githubusercontent.com/AndreMiras/garden.zbarcam/develop/screenshot.gif" align="right" width="256" alt="screenshot" />

## How to use
Simply import and instanciate `ZBarCam` in your kvlang file and access its `symbols` property.
```yaml
#:import ZBarCam kivy_garden.zbarcam.ZBarCam
#:import ZBarSymbol pyzbar.pyzbar.ZBarSymbol
BoxLayout:
    orientation: 'vertical'
    ZBarCam:
        id: zbarcam
        # optional, by default checks all types
        code_types: ZBarSymbol.QRCODE, ZBarSymbol.EAN13
    Label:
        size_hint: None, None
        size: self.texture_size[0], 50
        text: ', '.join([str(symbol.data) for symbol in zbarcam.symbols])
```
A full working demo is available in [src/main.py](https://github.com/kivy-garden/zbarcam/blob/master/src/main.py).

## Install

### Ubuntu
Install system requirements (Ubuntu 18.04):
```sh
make system_dependencies
```

Install zbarcam:
```sh
pip install zbarcam
```
Then import it in your Python code via:
```python
from kivy_garden.zbarcam import ZBarCam
```

### Android
Build for Android via buildozer, see [buildozer.spec](buildozer.spec).

## Contribute
To play with the project, install system dependencies and Python requirements using the [Makefile](Makefile).
```sh
make
```
Then verify everything is OK by running tests.
```sh
make test
make uitest
```

## Troubleshooting

### Android `ValueError: Empty module name`
More likely an import issue in your `.kv` file.
Try to `from zbarcam import ZBarCam` in your `main.py` to see the exact error.
It's common to forget `Pillow` in `buildozer.spec` `requirements` section.
kivy-garden.zbarcam 2020.524
Real time Barcode and QR Code scanner Edit

# zbarcam

[![Build Status](https://travis-ci.org/kivy-garden/zbarcam.svg?branch=develop)](https://travis-ci.org/kivy-garden/zbarcam)
[![Coverage Status](https://coveralls.io/repos/github/kivy-garden/zbarcam/badge.svg?branch=develop)](https://coveralls.io/github/kivy-garden/zbarcam?branch=develop)
[![PyPI version](https://badge.fury.io/py/zbarcam.svg)](https://badge.fury.io/py/zbarcam)
[![Documentation Status](https://readthedocs.org/projects/zbarcam/badge/?version=latest)](https://zbarcam.readthedocs.io/en/latest/?badge=latest)

Real time Barcode and QR Code scanner using the camera.
It's built on top of [Kivy](https://github.com/kivy/kivy) and [pyzbar](https://github.com/NaturalHistoryMuseum/pyzbar).

<img src="https://raw.githubusercontent.com/AndreMiras/garden.zbarcam/develop/screenshot.gif" align="right" width="256" alt="screenshot" />

## How to use
Simply import and instanciate `ZBarCam` in your kvlang file and access its `symbols` property.
```yaml
#:import ZBarCam kivy_garden.zbarcam.ZBarCam
#:import ZBarSymbol pyzbar.pyzbar.ZBarSymbol
BoxLayout:
    orientation: 'vertical'
    ZBarCam:
        id: zbarcam
        # optional, by default checks all types
        code_types: ZBarSymbol.QRCODE, ZBarSymbol.EAN13
    Label:
        size_hint: None, None
        size: self.texture_size[0], 50
        text: ', '.join([str(symbol.data) for symbol in zbarcam.symbols])
```
A full working demo is available in [src/main.py](https://github.com/kivy-garden/zbarcam/blob/master/src/main.py).

## Install

### Ubuntu
Install system requirements (Ubuntu 18.04):
```sh
make system_dependencies
```

Install zbarcam:
```sh
pip install zbarcam
```
Then import it in your Python code via:
```python
from kivy_garden.zbarcam import ZBarCam
```

### Android
Build for Android via buildozer, see [buildozer.spec](buildozer.spec).

## Contribute
To play with the project, install system dependencies and Python requirements using the [Makefile](Makefile).
```sh
make
```
Then verify everything is OK by running tests.
```sh
make test
make uitest
```

## Troubleshooting

### Android `ValueError: Empty module name`
More likely an import issue in your `.kv` file.
Try to `from zbarcam import ZBarCam` in your `main.py` to see the exact error.
It's common to forget `Pillow` in `buildozer.spec` `requirements` section.
elcano 0.1.0
Visual dataset explorer

# Elcano

**Currently under initial development, do not use.**

This Python 3 library is a visual dataset explorer that can be used to analyse the main properties of a dataset. It is named after [Juan Sebastián Elcano](https://en.wikipedia.org/wiki/Juan_Sebasti%C3%A1n_Elcano), the explorer who completed the first circumnavigation of the Earth.

Some of the main features of this library are:

* Wide format support: The formats ARFF, BSI, CSV, DAT, DATA, JSON, LIBSVM, M, NAMES, XRFF and their gzipped versions can be used.
* Comprehensive analysis features: many analysis tools are available to study the dataset, giving access to well-known toolboxes such as scikit-learn, keras and pandas.
* Pipeline storage and sharing: the pipelines created can be saved locally and uploaded to the pipeline cloud.
* Simple-yet-powerful interface: when a dataset is loaded, a web platform is deployed locally to analyse the datasets visually. Every pipeline can be exported as a script to avoid losing the grip on the process.

## Install and usage

Installing and using this library is as simple as:

```shell
$ pip install elcano
Successfully installed elcano-0.1
$ elcano dataset.csv
```

A complete reference will be added as the development of this library advances.

## Changes

### v0.0.

Released on May 24, 2020.

* Initial package upload.