fvisionNetwork14 is classification model, image preprocessing module will preprocess the image, plotting accuracy and loss grapghs plots the graphs
Project description
fvisionNetwork14
Installation
pip install fvisionNetwork14
Description
version: 0.0.4
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fvisionNetwork14-0.0.4.tar.gz
(4.2 kB
view hashes)
Built Distribution
Close
Hashes for fvisionNetwork14-0.0.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 03e3f30a1e113af3b20bdd951e6d9e8e998e0afe44cd8600e7e686cc8913be95 |
|
MD5 | 5bcf24662038488df692e85d3cfb32e8 |
|
BLAKE2b-256 | 29a3c0aa4bfda89e21bf7ed0b061e424f0a207396dcc8044160e930048324240 |