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fvisionNetwork14 is classification model, image preprocessing module will preprocess the image, plotting accuracy and loss grapghs plots the graphs

Project description

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

© 2022 Kalyan Mohanty

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

Project details


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