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import yaml
import argparse
from argparse import Namespace
from ultralytics.utils import IterableSimpleNamespace
# Function to Load Configurations from YAML
def load_config(config_path):
with open(config_path, "r") as file:
config_dict = yaml.safe_load(file)
# Convert specific keys to float/int to prevent type errors
config_dict["weight_decay"] = float(config_dict["weight_decay"])
config_dict["warmup_steps"] = int(config_dict["warmup_steps"])
config_dict["rotate90"] = float(config_dict["rotate90"])
config_dict["horizontal_flip"] = float(config_dict["horizontal_flip"])
config_dict["brightness_contrast"] = float(config_dict["brightness_contrast"])
config_dict["elastic_transform"] = float(config_dict["elastic_transform"])
config_dict["elastic_alpha"] = float(config_dict["elastic_alpha"])
config_dict["elastic_sigma"] = float(config_dict["elastic_sigma"])
return IterableSimpleNamespace(**config_dict)
def parse_args():
parser = argparse.ArgumentParser(description="Custom Hugging Face Training with config file")
parser.add_argument("--config", type=str, required=True, help="Path to YAML config file")
args = parser.parse_args()
# Load settings from the YAML file
config = load_config(args.config)
return config
if __name__ == "__main__":
main()
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