| 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() | |