| import argparse | |
| import os | |
| from itertools import product | |
| from dataset_lib.config import Config | |
| from dataset_lib.config import Constants as c | |
| from dataset_lib.encode import encode | |
| def setup_logging(level): | |
| import logging | |
| formatter = logging.Formatter( | |
| "%(asctime)s - %(name)s - %(levelname)s - %(message)s" | |
| ) | |
| logging.root.setLevel(level) | |
| loggers = [ | |
| logging.getLogger(name) | |
| for name in logging.root.manager.loggerDict | |
| if "ibydmt" in name | |
| ] | |
| for logger in loggers: | |
| logger.setLevel(level) | |
| stream_handler = logging.StreamHandler() | |
| stream_handler.setFormatter(formatter) | |
| logging.root.addHandler(stream_handler) | |
| def config(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument( | |
| "--workdir", type=str, default=c.WORKDIR, help="Working directory" | |
| ) | |
| parser.add_argument("--log_level", type=str, default="INFO", help="Logging level") | |
| return parser.parse_args() | |
| def get_support_datasets(workdir: str): | |
| with open(os.path.join(workdir, "supported_datasets.txt"), "r") as f: | |
| return f.read().splitlines() | |
| def get_supported_models(workdir: str): | |
| with open(os.path.join(workdir, "supported_models.txt"), "r") as f: | |
| return f.read().splitlines() | |
| def main(args): | |
| workdir = args.workdir | |
| log_level = args.log_level | |
| setup_logging(log_level) | |
| datasets = get_support_datasets(workdir) | |
| models = get_supported_models(workdir) | |
| for dataset in datasets: | |
| config = Config() | |
| config.data.dataset = dataset | |
| config.data.backbone = models | |
| for _config in config.sweep(["data.backbone"]): | |
| encode(_config) | |
| if __name__ == "__main__": | |
| args = config() | |
| main(args) | |