visionner 0.0.2

Visionner is a real world computer vision toolkit

visionner

Visionner is a real world computer vision toolkit

Purpose of the package

• The purpose of this package is to provide machine learning engineer a real world computer vision toolkit

Warning

Since Visionner still in alpha and under heavy development , expect to see many changes in the near futures.

Features

• Convert image folder into numpy array
• Normalize the dataset
• Split the trainset and the testset

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.Dataset.DatasetManager import DatasetImporter, DatasetNormalizer, TrainTestSpliter
>>> import matplotlib.pyplot as plt 

### import your dataset
>>> your_dataset=DatasetImporter("path/to/your/dataset/", size=(28, 28))

### normalize your dataset
>>> your_normalized_dataset=DatasetNormalizer(your_dataset)

### create a trainset and a testset
>>>x_train, x_test=TrainTestSpliter(dataset, test_size=0.2)

### visualize the first image of your dataset
>>> 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 error 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)

Warning

Since Visionner still in alpha and under heavy development , expect to see many changes in the near futures.