Metadata-Version: 2.1
Name: fvisionNetwork14
Version: 0.0.2
Summary: fvisionNetwork14 is classification model, image preprocessing module will preprocess the image, plotting accuracy and loss grapghs plots the graphs
Home-page: https://github.com/KalyanMohanty/fvisionNetwork14
Author: Kalyan Mohanty
Author-email: kalyanrisingstar@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
License-File: LICENSE

# Square Number takes an integer as an input and prints it square.

## Installation
```pip install fvisionNetwork14```

## Description
version: 0.0.2

modules:
        - image_preprocessing
        - fvNet14
        - plot_accuracy
        - plot_loss
        
Dependancy modules:
        - numpy
        - from tensorflow
        - matplotlib

## How to use?
e.g:
### image_preprocessing
    image_pre_processing.image_preprocessing(path, image_height = 50, image_width = 50)

### fvNet14
    model_test = fvNet14.fvNet14(image_height = 50, image_width = 50, color_channel = 3, output_layer = 10)
    history = model_test.fit(xtrain,ytrain,epochs=50,validation_data=(xtest,ytest))

## plot_accuracy
    plot_model_acuracy.plot_accuracy(history, height = 10, width = 10)

## plot_loss
    plot_model_loss.plot_loss(history, height = 10, width = 10)
## License

Â© 2022 Kalyan Mohanty

This repository is licensed under the MIT license. See LICENSE for details.


