semvec/pypi-packages huggingface dataset:
vpype-embroidery 0.3.2
vpype embroidery plugin

# vpype-embroidery
Vpype plugin for embroidery
See: https://github.com/abey79/vpype


Embroidery vpype plugin. Reads and Writes embroidery files for the vpype pipeline.

* `eread` load an embroidery into the pipeline
* `ewrite` write embroidery geometries to disk
* `efill` fill closed shapes in the document with a Eulerian fill.


# Installing

pipx-based *vpype* install:

```
$ pipx inject vpype vpype-embroidery
```

Global or venv-based *vpype* install:

```
$ pip install vpype-embroidery
```

# Examples

## Complex fills

`vpype begin grid -o 25 25 10 10 circle 0 0 100 end efill show`

![epype](https://user-images.githubusercontent.com/3302478/101284648-fe3d0a00-3795-11eb-8a3b-5f340624195d.png)

Zoomed

![epype-zoom](https://user-images.githubusercontent.com/3302478/101285367-9a1c4500-3799-11eb-9695-f1c51b7ff840.png)

## Convert SVG -> DST

`vpype read butterfly.svg ewrite butterfly.dst`

## Convert PES -> SVG

`vpype eread duck.pes write duck.svg`


# Supported Formats.

This uses `pyembroidery` for the backend so the formats supported are as follows:
https://github.com/EmbroidePy/pyembroidery

## Embroidery Formats
### Write

* .pes
* .dst
* .exp
* .jef
* .vp3
* .u01
* .pec
* .xxx
* .tbf
* .gcode

### Read
* .pes
* .dst
* .exp
* .jef
* .vp3
* .10o
* .100
* .bro
* .dat (barudan & sunstar)
* .dsb
* .dsz
* .emd
* .exy
* .fxy
* .gt
* .hus
* .inb
* .jpx
* .ksm
* .max
* .mit
* .new
* .pcd
* .pcm
* .pcq
* .pcs
* .pec
* .phb
* .phc
* .sew
* .shv
* .stc
* .stx
* .tap
* .tbf
* .u01
* .xxx
* .zxy
* .gcode

## Related Formats

We also write some miscellaneous formats

### Write
* .col : Color format.
* .edr : Color format.
* .inf : Color format.
* .pmv : Brother Stitch Format.

### Read
* .col : Color format.
* .edr : Color format.
* .inf : Color format.
* .pmv : Brother Stitch Format.

## Utility Formats:

### Write
* .csv : comma-separated values
* .json : JavaScript Object Notation
* .png : Portable Network Graphic
* .txt : text file.
* .svg : Scalable Vector Graphics

### Read
* .csv : comma-separated values
* .json : JavaScript Object Notation
subtitle-ai-translator 1.0
AI-powered tool for seamless subtitle translation, enabling cross-language accessibility for video content.
Requires Python: >=3.6

# Subtitle-AI-Translator

Subtitle-AI-Translator is an AI-powered application designed to automatically translate video subtitles, making content accessible across different languages and cultures. This tool leverages advanced machine learning models to provide accurate and context-aware translations, ensuring that your video content is enjoyed by a broader audience without language barriers.

## Features

- **Automated Translation**: Quickly translate subtitles from one language to another with support for multiple languages.
- **AI Integration**: Utilizes state-of-the-art AI translation models for high-quality subtitle translation.
- **Customizable**: Easy to tailor the translation process to fit specific needs or preferences.
- **Batch Processing**: Translate entire subtitle files in one go, saving time and effort.
- **User-Friendly**: Designed with simplicity in mind, making it accessible for both technical and non-technical users.
deims 4.0
Interface to the DEIMS-SDR API
Requires Python: >=3

# deimsPy

This repository represents the latest version of a collection of python functions with the intention of easing access to DEIMS-SDR data (https://www.deims.org).
This python package is openly available and free to use. Should you use DEIMS-SDR data for any studies or analyses, please cite the service accordingly.
For further information about DEIMS-SDR, please refer to its About page (https://www.deims.org/about).

## Installation

Via pip (see the package on [PyPI](https://pypi.org/project/deims/)): `pip install deims`.
Manually: download `deims.py` to working directory.

You can then `import deims` as normal.

## Usage

Get the list of all verified sites of a network, e.g. ECN
- deims.getListOfSites(network="a197664f-569e-4df6-933a-86de676dbfc5",verified_only=True)

Get the list of all network sites (verified and not verified), e.g. LTER Austria
- deims.getListOfSites("d45c2690-dbef-4dbc-a742-26ea846edf28")

Get the list of all sites
- deims.getListOfSites()

Get a particular site record by its DEIMS.ID (multiple formats of the DEIMS.ID are accepted)
- deims.getSiteById(site_id="deims.org/8eda49e9-1f4e-4f3e-b58e-e0bb25dc32a6")
- deims.getSiteById("1b94503d-285c-4028-a3db-bc78e31dea07")

Get all sites on DEIMS within 30km of latitude 47.84, longitude 14.44
- deims.getSitesWithinRadius(lat=47.84,lon=14.44,distance=30000)

Get all sites on DEIMS within 1500m of latitude 57.08, longitude -3.667
- deims.getSitesWithinRadius(57.08,-3.667,1500)

Get the coordinates or boundaries of a particular site as a GeoDataFrame
- deims.getSiteCoordinates("8eda49e9-1f4e-4f3e-b58e-e0bb25dc32a6")
- deims.getSiteBoundaries("8eda49e9-1f4e-4f3e-b58e-e0bb25dc32a6")

Get the coordinates boundaries of multiple sites and save them as a shapefile called "lter-austria.shp"
- deims.getSiteCoordinates(deims.getListOfSites("d45c2690-dbef-4dbc-a742-26ea846edf28"),"lter-austria")
- deims.getSiteBoundaries(deims.getListOfSites("d45c2690-dbef-4dbc-a742-26ea846edf28"),"lter-austria")