visionner 0.0.1

Visionner convert your image dataset into a numpy array ; more suitable for computer vision tasks

visionner

Visionner convert your image dataset into a numpy array ; more suitable for computer vision tasks.

Purpose of the package

• The purpose of this package is to convert your image dataset into a numpy array wich is more suitable for Image processing , deep learning and computer vision tasks.

Features

• Convert image folder into numpy array

Getting Started

The package can be found on pypi hence you can install it using pip

Installation

pip install visionner

Usage

### import usefull package
>>> from visionner import Vision
>>> import matplotlib.pyplot as plt 

### basic usage
>>> your_dataset=Vision("path/to/your/dataset/", size=(28, 28), normalize=True)

### visualize the first image
>>> plt.imshow(your_dataset[0])
>>> plt.show()

Contribution

Contribution are welcome. Notice a bug ? let us know. Thanks you

Author

• Main Maitainer : Charles TCHANAKE
• email : [e-mail]

Note

if you get an unicode erro like this :

SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape

add r at the begining of your path like this

>>> your_dataset=Vision(r"path/to/your/dataset/", size=(28, 28), normalize=True)