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: 0.0.3
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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