alicia

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================================================ AlicIA

::

Usage: alicia [OPTIONS] COMMAND [ARGS]...

A CLI to download, create, modify, train, test, predict and compare an image classifiers.

Supporting mostly all torch-vision neural networks and datasets.

This will also identify cute 🐱 or a fierce 🐶, also flowers or what type of
🏘️ you should be.

Options: -v, --verbose -g, --gpu --version Show the version and exit. --help Show this message and exit.

Commands: compare Compare the info, accuracy, and step speed two (or more by... create Creates a new model for a given architecture. download Download a MNIST dataset with PyTorch and split it into... info Display information about a model architecture. modify Changes the hyper parameters of a model. predict Predict images using a pre trained model, for a given folder... test Test a pre trained model. train Train a given architecture with a data directory containing a...

View a FashionMNIST demo

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Install and usage

::

pip install alicia
alicia --help

If you just want to see a quick showcase of the tool, download and run showcase.sh https://github.com/aemonge/alicia/raw/main/docs/showcase.sh

Features

To see the full list of features, and option please refer to alicia --help

• Download common torchvision datasets (tested with the following):
  • MNIST
  • FashionMNIST
  • Flowers102
  • EMNIST
  • StanfordCars
  • KMNIST and CIFAR10
• Select different transforms to train.
• Train, test and predict using different custom-made and torch-vision models:
  • SqueezeNet
  • AlexNet
  • MNASNet
• Get information about each model.
• Compare models training speed, accuracy, and meta information.
• View test prediction results in the console, or with matplotlib.
• Adds the network training history log, to the model. To enhance the info and compare.
• Supports pre-trained models, with weights settings.
• Automatically set the input size based on the image resolution.

References

Useful links found and used while developing this

• https://medium.com/analytics-vidhya/creating-a-custom-dataset-and-dataloader-in-pytorch-76f210a1df5d
• https://stackoverflow.com/questions/51911749/what-is-the-difference-between-torch-tensor-and-torch-tensor
• https://deepai.org/dataset/mnist
• https://medium.com/fenwicks/tutorial-1-mnist-the-hello-world-of-deep-learning-abd252c47709