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main.py
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import argparse
import importlib
import json
import os
def create_parser():
parser = argparse.ArgumentParser()
parser.add_argument(
'experimentFolder', type=str, help="Folder name of the experiment you want to run")
parser.add_argument(
'-v', "--visualize", help="if specified, the visualization script for the experiment will run", action="store_true")
parser.add_argument(
'-r', "--resume", help="If specified, the visualization/train script will resume from pretrained weights", action="store_true")
return parser
def load_config(fp):
with open(fp, 'r') as f:
hyperparams = json.load(f)
return hyperparams
if __name__ == "__main__":
parser = create_parser()
args = parser.parse_args()
if not os.path.isdir(args.experimentFolder):
raise ValueError
experiment_name = os.path.split(os.path.abspath(args.experimentFolder))[-1]
if not args.visualize:
mymodule = importlib.import_module(
'.train', '.'.join(['Experiments', experiment_name]))
config = load_config(os.path.join(
os.getcwd(), args.experimentFolder, "config.json"))
dataset_holder = importlib.import_module(
".".join(["utils", "datasets", config["dataset_params"]["name"]]))
mymodule.run_experiment(fp=os.path.join(
os.getcwd(), args.experimentFolder), **config, dataloader_func=dataset_holder.create_dataloaders, resume=args.resume)
else:
mymodule = importlib.import_module(
'.visualize', '.'.join(['Experiments', experiment_name]))
config = load_config(os.path.join(
os.getcwd(), args.experimentFolder, "config.json"))
dataset_holder = importlib.import_module(
".".join(["utils", "datasets", config["dataset_params"]["name"]]))
mymodule.visualize(fp=os.path.join(os.getcwd(), args.experimentFolder),
resume=args.resume,
architecture_params=config["architecture_params"],
dataloader_params=config["dataset_params"],
dataloader_func=dataset_holder.create_dataloaders)