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All Projects → tatsuyah → CNN-Image-Classifier

tatsuyah / CNN-Image-Classifier

Licence: other
A Simple Deep Neural Network to classify images made with Keras

Programming Languages

python
139335 projects - #7 most used programming language

Labels

deep-learningneural-networkkerasimage-processingcnnimage-classificationconvolutional-neural-networkscnn-keras

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CNN Image Classifier

Overview

A Simple Deep Neural Network to classify images made with Keras. This supports binary and multiclass classification.

Requirements

  • Keras = 2.x (TensorFlow backend)
  • Numpy = 1.x

Usage

First, collect training and validation data and deploy it like this(for multiclass classification),

./data/
  train/
    pizza/
      pizza1.jpg
      pizza2.jpg
      ...
    poodle/
      poodle1.jpg
      poodle2.jpg
      ...
    rose/
      rose1.jpg
      rose2.jpg
      ...
  validation/
    pizza/
      pizza1.jpg
      pizza2.jpg
      ...
    poodle/
      poodle1.jpg
      poodle2.jpg
      ...
    rose/
      rose1.jpg
      rose2.jpg
      ...

and then run train script.

python src/train-multiclass.py

Train script makes model and weights file to ./output/.

To test another images, run

python src/predict-multiclass.py

After training, you'll have tensorboard log in ./tf-log/ So you can see the result

tensorboard --logdir=./tf-log
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