import os import zipfile from typing import Optional import requests from loguru import logger from rich.progress import BarColumn, Progress, TextColumn, TimeRemainingColumn from yolo.config.config import DatasetConfig def download_file(url, destination): """ Downloads a file from the specified URL to the destination path with progress logging. """ with requests.get(url, stream=True) as response: response.raise_for_status() total_size = int(response.headers.get("content-length", 0)) with Progress( TextColumn("[progress.description]{task.description}"), BarColumn(), "[progress.percentage]{task.percentage:>3.1f}%", "•", "{task.completed}/{task.total} bytes", "•", TimeRemainingColumn(), ) as progress: task = progress.add_task(f"📥 Downloading {os.path.basename(destination)}...", total=total_size) with open(destination, "wb") as file: for data in response.iter_content(chunk_size=1024 * 1024): # 1 MB chunks file.write(data) progress.update(task, advance=len(data)) logger.info("✅ Download completed.") def unzip_file(source, destination): """ Extracts a ZIP file to the specified directory and removes the ZIP file after extraction. """ logger.info(f"Unzipping {os.path.basename(source)}...") with zipfile.ZipFile(source, "r") as zip_ref: zip_ref.extractall(destination) os.remove(source) logger.info(f"Removed {source}.") def check_files(directory, expected_count=None): """ Returns True if the number of files in the directory matches expected_count, False otherwise. """ files = [f for f in os.listdir(directory) if os.path.isfile(os.path.join(directory, f))] return len(files) == expected_count if expected_count is not None else bool(files) def prepare_dataset(dataset_cfg: DatasetConfig, task: str): """ Prepares dataset by downloading and unzipping if necessary. """ # TODO: do EDA of dataset data_dir = dataset_cfg.path for data_type, settings in dataset_cfg.auto_download.items(): base_url = settings["base_url"] for dataset_type, dataset_args in settings.items(): if dataset_type != "annotations" and dataset_cfg.get(task, task) != dataset_type: continue file_name = f"{dataset_args.get('file_name', dataset_type)}.zip" url = f"{base_url}{file_name}" local_zip_path = os.path.join(data_dir, file_name) extract_to = os.path.join(data_dir, data_type) if data_type != "annotations" else data_dir final_place = os.path.join(extract_to, dataset_type) os.makedirs(final_place, exist_ok=True) if check_files(final_place, dataset_args.get("file_num")): logger.info(f"✅ Dataset {dataset_type: <12} already verified.") continue if not os.path.exists(local_zip_path): download_file(url, local_zip_path) unzip_file(local_zip_path, extract_to) if not check_files(final_place, dataset_args.get("file_num")): logger.error(f"Error verifying the {dataset_type} dataset after extraction.") def prepare_weight(download_link: Optional[str] = None, weight_path: str = "v9-c.pt"): weight_name = os.path.basename(weight_path) if download_link is None: download_link = "https://github.com/WongKinYiu/yolov9mit/releases/download/v1.0-alpha/" weight_link = f"{download_link}{weight_name}" if not os.path.isdir(os.path.dirname(weight_path)): os.makedirs(os.path.dirname(weight_path)) if os.path.exists(weight_path): logger.info(f"Weight file '{weight_path}' already exists.") try: download_file(weight_link, weight_path) except requests.exceptions.RequestException as e: logger.warning(f"Failed to download the weight file: {e}") if __name__ == "__main__": import sys sys.path.append("./") from utils.logging_utils import custom_logger custom_logger() prepare_weight()