Provides the ability to construct a simulated image dataset on the fly with different characteristics.
Project description
Overview
This project provides the ability to construct a simulated image dataset on the fly with different characteristics. While it is possible to simulate datasets that models can be trained against successfully, it is also useful to adjust dataset parameters to yields datasets that much more challenging to train against.
Installation
With poetry
poetry install
With pip
pip install pytorch-polkadots
From cloned repo
pip install -r requirements.txt
Tests
bash
export PYTHONTEST=.
pytest
Example image
You can see an image generated by the code with:
python main.py
This will display the following image:
PyTorch dataset
The code provides a pytorch dataset that you can use in benchmarks.
class PolkaDotDataset(Dataset)
Project details
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