semvec/pypi-packages huggingface dataset:
pyemgpipeline 1.0.0
EMG signal processing pipeline
Requires Python: >=3.6

# EMG Signal Processing Pipeline

**pyemgpipeline** is an electromyography (EMG) signal processing pipeline package.

This package implements internationally accepted EMG processing conventions
and provides a high-level interface for ensuring user adherence to those conventions,
in terms of (1) processing parameter values, (2) processing steps, and (3) processing step order.

The processing steps included in the package are
DC offset removal, bandpass filtering, full wave rectification, linear envelope,
end frame cutting, amplitude normalization, and segmentation.

## Scope

This package defines the processing pipeline for both surface EMG and
intramuscular EMG but not for high density EMG.
The EMG recording requires that the minimum sample rate be at least twice the
highest cutoff frequency of the bandpass filter based on the Nyquist theorem.

## Overview

In **pyemgpipeline**, class `DataProcessingManager` in module `wrappers` is
designed as the main wrapper for high-level, guided processing,
and users are encouraged to use it to adhere to accepted EMG processing conventions.
The other classes, methods, and functions are considered as lower level processing
options.

The package is organized in modules `processors`, `wrappers`, and `plots`.

Module `processors` includes the base class `BaseProcessor` of all signal
processors and seven classes for different processing steps:
`DCOffsetRemover`, `BandpassFilter`, `FullWaveRectifier`, `LinearEnvelope`,
`EndFrameCutter`, `AmplitudeNormalizer`, and `Segmenter`.

Module `wrappers` includes three wrapper classes to facilitate the signal
processing by integrating data and individual processors.
Class `EMGMeasurement` works for data of a single trial,
class `EMGMeasurementCollection` works for data of multiple trials,
and class `DataProcessingManager` is the high-level, guided processing wrapper
with EMG processing conventions.

Module `plots` includes
the function `plot_emg` to plot EMG signals on `matplotlib` figures
and the class `EMGPlotParams` to manage the plot-related parameters.

## Documentation

The [documentation](https://aalhossary.github.io/pyemgpipeline/)
describes how to use this package, including
package installation, quick start, examples explaining the breadth of the package’s functionality,
and API reference.

## Community Guidelines

For contribution, please clone the repository, make changes, and create a pull request.

For reporting any issues, please use
[github issues](https://github.com/aalhossary/pyemgpipeline/issues).

For support, please contact the authors via their emails
or [github issues](https://github.com/aalhossary/pyemgpipeline/issues).

## Citation

If you use this package in your project, please cite this work.
galleries-qt 0.4.3
Qt implementation to manage galleries.
Requires Python: >=3.6

# Galleries-qt

Galleries-qt provides Qt widgets to create and manage images galleries through a user interface. The galleries are created with [galleries](https://github.com/mnicolas94/galleries) python package.

# Installation

`pip install galleries-qt`

# Usage

Galleries-qt provides two widgets. A galleries manager to create, update and delete galleries:

```python
from galleries_qt.galleries_manager import GalleriesManager

widget = GalleriesManager()
```

and a combobox that allows to select from all galleries you have created

```python
from galleries_qt.galleries_combobox import GalleriesCombobox

widget = GalleriesCombobox()
```
pymatchlib 0.1.post1
A package for calculating various equations
Requires Python: >=3.10

Library provides:

* tools for performing operations on functions and polynomials
* useful tools for linear algebra, integration, calculus etc.
* working functions and powerful objects of Equations, Polynomials and Functions In Range
* and more

pymatchlib, due to its power and flexibility, can be used for both scientific projects, but also for much simpler programs. The library is integrated with MongoDB from the very beginning, which allows you to create databases very speedily and get access to them.

All pymatchlib wheels distributed on PyPI are MIT licensed.
Themail 0.0.2
Sending email with python fast
Requires Python: >=3.6

# Themail

## To install

```
pip install Themail
```

## To import the library

```
from themail import *
```

## Defining the sender, key, smtp and port  

```
email = Themail("<YOUR EMAIL>","<YOUR KEY>","<SMTP>","<PORT>")
```

## or null to use our email

```
email = Themail()
```

## Sending an email

```
send = email.send("<RECEIVER>","<SUBJECT>","<BODY>")
```

## Sending to more than one recipient

```
send = email.send(["<RECEIVER #1>","<RECEIVER #2>"],"<SUBJECT>","<BODY>")
```

## Get message

```
print(send)
```

## Links

See my [GitHub](https://github.com/claudiotorresarbe).
match-house 0.1.post1
A package for calculating various equations
Requires Python: >=3.10

Library provides:

* tools for performing operations on functions and polynomials
* useful tools for linear algebra, integration, calculus etc.
* working functions and powerful objects of Equations, Polynomials and Functions In Range
* and more

match-house, due to its power and flexibility, can be used for both scientific projects, but also for much simpler programs. The library is integrated with MongoDB from the very beginning, which allows you to create databases very speedily and get access to them.

All match-house wheels distributed on PyPI are MIT licensed.
image-processing-thiagor 0.0.1
Projeto realizado através do bootcamp da DIO, Desenvolvedora Karina Kato
Requires Python: >=3.8

# image_processing

Description. 
The package image-processing-thiagor is used to:
	Processing:
		- Histogram matching
		- Structural similarity
		- Resize image
	Utils:
		- Read image
		- Save image
		- Plot image
		- Plot result
		- Plot histogram

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install image-processing-thiagor
```

## Author
Thiago Regis

## License
[MIT](https://choosealicense.com/licenses/mit/)