cytodata_aics
Generate data:
from cytodata_aics.split_dataset import generate_dataset
data_frame = generate_dataset()
data_frame.to_csv("/home/aicsuser/serotiny_data/cells_all_classes.csv")
Run training:
serotiny train model=example_vae_3d_class data=example_vae_dataloader_3d_all_classes mlflow.experiment_name=cameroncatering mlflow.run_name=cameron-catering-exp-vae trainer.gpus=[0] trainer.max_epochs=100
Run test with latent walk for generating images:
serotiny test model=example_vae_3d_class data=example_vae_dataloader_3d_all_classes mlflow.experiment_name=cameroncatering mlflow.run_name=cameron-catering-exp-vae-class-0.95-all-channels-v3 trainer.gpus=[0] trainer/callbacks=latent_walk_vae