semvec/pypi-packages huggingface dataset:
openFourier 0.1.3
A package for computing 2D Fourier transform amplitude spectrum
Requires Python: >=3.8


# openFourier

A Python package for computing 2D Fourier transform amplitude spectrum of images.

## Installation

You can install the package using pip:

```bash
pip install openFourier

## Usage

import cv2
import openFourier as of

# 이미지 로드
image = cv2.imread('example.png')

# 진폭 스펙트럼 계산
spectrum = of.ww_amplitude_spectrum(image)

# 결과 저장
cv2.imwrite('amplitude_spectrum.png', spectrum * 255)
castomui 1.0
a python package for TUI 
Keywords: python, TUI, terminal, ui, windows, mac, linux


# CastomUi

A python package for TUI

Include many TUI functions like **'Prompt'** or **Selection**

## Installation

[Pypi](https://pypi.org/project/castomui/)
[Github](https://github.com/Hansha2011/CastomUi)

## How to use

You can use the demo function

```python
import castomui as cstm
cstm.demo()
```

Or you can customize

```python
import castomui as cstm
a=cstm.DirectedSelection(value=["Selection 1","Selection 2","Selection 3","Selection 4","Selection 5","Selection 6","Selection 7","Support me?"])
a.show()
print(a.get())
```

## Update log

2025/02/06 - `1.0.0` first release
initbysql 0.3
Автоматическая генерация FastAPI-бэкенда по SQL-скрипту.
Requires Python: >=3.7

# InitBySql

InitBySql — это инструмент для автоматической генерации FastAPI-бэкенда по SQL-скрипту создания таблиц.

## Установка

```sh
pip3 install initbysql
```

## Использование
```sh
python3 -m initbysql schema.sql output_directory
```
## Где:

**schema.sql** — файл с SQL-скриптом создания таблиц
**output_directory** — папка, в которую будет сгенерирован код
sklearn-viz 0.6.10
Interactive visualisation for scikit-learn models
Requires Python: <3.14,>=3.9

# sklearn-viz
[![PyPI](https://img.shields.io/pypi/v/sklearn-viz.svg?logo=python&logoColor=white)](https://pypi.org/project/sklearn-viz/)
[![Run Tests](https://github.com/Elphick/sklearn-viz/actions/workflows/poetry_build_and_test.yml/badge.svg?branch=main)](https://github.com/Elphick/sklearn-viz/actions/workflows/poetry_build_and_test.yml)
[![Publish Docs](https://github.com/Elphick/sklearn-viz/actions/workflows/poetry_sphinx_docs_to_gh_pages.yml/badge.svg?branch=main)](https://github.com/Elphick/sklearn-viz/actions/workflows/poetry_sphinx_docs_to_gh_pages.yml)

This package provides a collection of interactive (plotly) plots to facilitate scikit-learn model evaluation.

It is very early days, but with time it is hoped the toolset will broaden to provide similar tools to those of the
great [yellowbrick](https://www.scikit-yb.org/en/latest/) package, but with interactive plots built in plotly.