from dynamics_learning.data.datasets import MITPushDatasetConfig from dynamics_learning.training.evaluation import evaluate, load_metadata if __name__ == "__main__": dataset_config = MITPushDatasetConfig( traj_len=50, num_viz_trajectories=20, pixel_res=256, raw=True, cond=False, half_image_size=False, kloss_dataset=True, # true for mit push ) name = "oo_planet_push" exp_config = load_metadata(name) evaluate(exp_config, dataset_config, experiment_name=name, save_summary=True)
from dynamics_learning.data.datasets import MITPushDatasetConfig from dynamics_learning.training.evaluation import evaluate, load_metadata if __name__ == "__main__": dataset_config = MITPushDatasetConfig( traj_len=50, num_viz_trajectories=20, pixel_res=256, raw=True, cond=False, half_image_size=False, kloss_dataset=True, # true for mit push ) name = "oo_planet_push" exp_config = load_metadata(name) # evaluate(exp_config, dataset_config, experiment_name=name, save_summary=True) evaluate(exp_config, dataset_config, save_summary=True)