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import os |
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import zipfile |
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import hydra |
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import requests |
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from loguru import logger |
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from tqdm.rich import tqdm |
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def download_file(url, dest_path): |
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""" |
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Downloads a file from a specified URL to a destination path with progress logging. |
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""" |
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logger.info(f"Downloading {os.path.basename(dest_path)}...") |
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with requests.get(url, stream=True) as r: |
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r.raise_for_status() |
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total_length = int(r.headers.get("content-length", 0)) |
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with open(dest_path, "wb") as f, tqdm( |
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total=total_length, unit="iB", unit_scale=True, desc=os.path.basename(dest_path), leave=True |
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) as bar: |
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for chunk in r.iter_content(chunk_size=1024 * 1024): |
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f.write(chunk) |
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bar.update(len(chunk)) |
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logger.info("Download complete!") |
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def unzip_file(zip_path, extract_to): |
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""" |
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Unzips a ZIP file to a specified directory. |
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""" |
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logger.info(f"Unzipping {os.path.basename(zip_path)}...") |
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with zipfile.ZipFile(zip_path, "r") as zip_ref: |
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zip_ref.extractall(extract_to) |
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os.remove(zip_path) |
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logger.info(f"Removed {zip_path}") |
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def check_files(directory, expected_count): |
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""" |
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Checks if the specified directory has the expected number of files. |
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""" |
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num_files = len([name for name in os.listdir(directory) if os.path.isfile(os.path.join(directory, name))]) |
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return num_files == expected_count |
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@hydra.main(config_path="../config/data", config_name="download", version_base=None) |
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def prepare_dataset(download_cfg): |
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data_dir = download_cfg.path |
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base_url = download_cfg.images.base_url |
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datasets = download_cfg.images.datasets |
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for dataset_type in datasets: |
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file_name, expected_files = datasets[dataset_type].values() |
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url = f"{base_url}{file_name}" |
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local_zip_path = os.path.join(data_dir, file_name) |
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extract_to = os.path.join(data_dir, dataset_type, "images") |
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os.makedirs(extract_to, exist_ok=True) |
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if check_files(extract_to, expected_files): |
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logger.info(f"✅ Dataset {dataset_type: >4} already verified.") |
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continue |
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if os.path.exists(local_zip_path): |
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logger.info(f"Dataset {dataset_type} already downloaded.") |
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else: |
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download_file(url, local_zip_path) |
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unzip_file(local_zip_path, extract_to) |
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print(os.path.exists(local_zip_path), check_files(extract_to, expected_files)) |
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if not check_files(extract_to, expected_files): |
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logger.error(f"Error in verifying the {dataset_type} dataset after extraction.") |
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if __name__ == "__main__": |
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from tools.log_helper import custom_logger |
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custom_logger() |
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prepare_dataset() |
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