Skip to content

JPBatisteli/cifar-superpixel_UFRGS

 
 

Repository files navigation

mnist-superpixel

MWP for superpixel GNN classification

See environment_from_history_with_version.yml for environment used to test. On 20220909 I used mamba install -c conda-forge -c pytorch scikit-image fire tqdm pytorch torchvision cpuonly numpy scipy python=3.8 matplotlib to install the environment.

Run python prototype.py --train --test to run the experiment.

About

Superpixel for CIFAR dataset

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%