semvec/pypi-packages huggingface dataset:
PyVisionTools 0.0.8
A collection of tools for image processing
Requires Python: >=3.10.0

# PyVisionTools

PyVisionTools is a Python library for image processing, offering convenient tools to enhance your vision-related projects.

## Installation

You can install PyVisionTools using pip:

```bash
pip install PyVisionTools
```

## Features

### ImageProcessor
- **Resize image**: Easily resize images with 'resize_image' method

```python
import PyVisionTools

image_url = "http://example.com/your_cool_image.png"
output_image_path = "resized_image.png"
new_size = (69, 69)

image_data = PyVisionTools.ImageProcessor.open_image_from_url(image_url)
image_data, chunks = PyVisionTools.ImageProcessor.decompress_png(image_data)
PyVisionTools.ImageProcessor.resize_image(image_data, output_image_path, new_size, chunks)

```

## License

This project is licensed under the MIT License

## ImageDraw

You can draw with 'ImageDraw'.

```bash
python -m PyVisionTools
Draw
```
Bubot-WebServer 4.0.1
Web server for Bubot
Requires Python: >=3.7

#Bubot WebServer
The package implements a web server for the Bubot framework, provides http and websocket API. 
Does not contain static web pages.


##Licensing

This published under the MIT License, see [LICENSE](LICENSE) for details.


Copyright (c) 2019 Mikhail Razgovorov
simplex-assimilate 0.2.10
Perform Data Assimilation on the Simplex. Models an ensemble as a mixture of Dirichlet distributions.
Requires Python: >=3.11,<3.12

# Simplex Assimilate: Data assimilation on the simplex

![Coverage](tests/coverage.svg)

## Installation 
```bash
pip install simplex-assimilate
```

## File Structure
 - `simplex_assimilate/` source code
 - `simplex_assimilate/cdf.py` Conditional distribution functions for the mixed dirichlet prior.
 - `simplex_assimilate/quantize.py` Convert floating point samples to fixed point representation.
 - `simplex_assimilate/dirichlet.py` Model samples on the simplex with a mixture of Dirichlet distributions. Fit parameters by maximum likelihood.
 - `simplex_assimilate/transport.py` Optimal transport of samples on the simplex.
 - `tests/` unit tests
 - `coverage_report/` coverage reports

## See Also
  - [Ice Simplex Assimilate Repository](https://github.com/oscarlaird/ice_simplex_assimilate)
    - Represent an ice thickness distribution as a point on the simplex and perform transport.