semvec/pypi-packages huggingface dataset:
pycounts-zwj 0.1.0
Calculate word counts in a text file!
License: MIT
Requires Python: >=3.9,<4.0

# pycounts_zwj

Calculate word counts in a text file!

## Installation

```bash
$ pip install pycounts_zwj
```

## Usage

- TODO

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`pycounts_zwj` was created by Wenjia Zhu. It is licensed under the terms of the MIT license.

## Credits

`pycounts_zwj` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
images-into-array 2.0.7
Convert Multiple Images into a Array and Different Color Spaces into a Array
License: MIT

## Convert-Images-Into-Array:
[![Build Status](https://travis-ci.org/sujitmandal/images-into-array.svg?branch=master)](https://travis-ci.org/sujitmandal/images-into-array) [![GitHub license](https://img.shields.io/github/license/sujitmandal/images-into-array)](https://github.com/sujitmandal/images-into-array/blob/master/LICENSE) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/images-into-array) ![PyPI - Wheel](https://img.shields.io/pypi/wheel/images-into-array) ![PyPI](https://img.shields.io/pypi/v/images-into-array)

[![Downloads](https://pepy.tech/badge/images-into-array)](https://pepy.tech/project/images-into-array) 

Convert Multiple Images into a Array and Different Color Spaces into a Array.

## Package Installation  : 
```
pip install images-into-array
```

[Package Link](https://pypi.org/project/images-into-array/)

## Convert-Images-Into-Array:
Convert Multiple Images into a Array and Different Color Spaces into a Array.This package fuction requres three argument one is path of the images folder and other is image_height and image_width.

OpenCV Document :
-----------------
[OpenCV Document](https://docs.opencv.org/3.4/de/d25/imgproc_color_conversions.html)

## How to import the module:
```python
images_path = ('')

image_height = 'Enter The Image Size [32, 64, 128]'

image_width = 'Enter The Image Size [32, 64, 128]'
```
## NORMAL :
```python
from images_into_array.images_into_array import images

array = images(images_path, image_height, image_width)

print(array.shape)
```
## RGB ↔ GRAY :
```python
from images_into_array.images_into_array import rgb_gray

gray = rgb_gray(images_path, image_height, image_width)

print(gray.shape)
```
## RGB ↔ CIE L*a*b* :
```python
from images_into_array.images_into_array import rgb_lab

lav = rgb_lab(images_path, image_height, image_width)

print(lav.shape)
```
## RGB ↔ HLS :
```python
from images_into_array.images_into_array import rgb_hls

hls = rgb_hls(images_path, image_height, image_width)

print(hls.shape)
```
## RGB ↔ CIE L*u*v* :
```python
from images_into_array.images_into_array import rgb_luv

luv = rgb_luv(images_path, image_height, image_width)

print(luv.shape)
```
## RGB ↔ HSV :
```python
from images_into_array.images_into_array import rgb_hsv

hsv = rgb_hsv(images_path, image_height, image_width)

print(hsv.shape)
```
## RGB ↔ YCrCb JPEG (or YCC) :
```python
from images_into_array.images_into_array import rgb_ycrcb

ycrcb = rgb_ycrcb(images_path, image_height, image_width)

print(ycrcb.shape)
```

## Required package’s:
```
• conda install -c conda-forge opencv=4.2.0

• pip install shuffle

• pip install numpy

• pip install tqdm
```
## License:
MIT Licensed

## Author:
Sujit Mandal

[GitHub](https://github.com/sujitmandal)

[PyPi](https://pypi.org/user/sujitmandal/)

[LinkedIn](https://www.linkedin.com/in/sujit-mandal-91215013a/)