import os import re import argparse import zipfile from concurrent.futures import ThreadPoolExecutor from tqdm import tqdm import pandas as pd from utils import get_file_hash def add_args(parser: argparse.ArgumentParser): pass def get_metadata(**kwargs): metadata = pd.read_csv("hf://datasets/JeffreyXiang/TRELLIS-500K/Toys4k.csv") return metadata def download(metadata, output_dir, **kwargs): os.makedirs(output_dir, exist_ok=True) if not os.path.exists(os.path.join(output_dir, 'raw', 'toys4k_blend_files.zip')): print("\033[93m") print("Toys4k have to be downloaded manually") print(f"Please download the toys4k_blend_files.zip file and place it in the {output_dir}/raw directory") print("Visit https://github.com/rehg-lab/lowshot-shapebias/tree/main/toys4k for more information") print("\033[0m") raise FileNotFoundError("toys4k_blend_files.zip not found") downloaded = {} metadata = metadata.set_index("file_identifier") with zipfile.ZipFile(os.path.join(output_dir, 'raw', 'toys4k_blend_files.zip')) as zip_ref: with ThreadPoolExecutor(max_workers=os.cpu_count()) as executor, \ tqdm(total=len(metadata), desc="Extracting") as pbar: def worker(instance: str) -> str: try: zip_ref.extract(os.path.join('toys4k_blend_files', instance), os.path.join(output_dir, 'raw')) sha256 = get_file_hash(os.path.join(output_dir, 'raw/toys4k_blend_files', instance)) pbar.update() return sha256 except Exception as e: pbar.update() print(f"Error extracting for {instance}: {e}") return None sha256s = executor.map(worker, metadata.index) executor.shutdown(wait=True) for k, sha256 in zip(metadata.index, sha256s): if sha256 is not None: if sha256 == metadata.loc[k, "sha256"]: downloaded[sha256] = os.path.join("raw/toys4k_blend_files", k) else: print(f"Error downloading {k}: sha256s do not match") return pd.DataFrame(downloaded.items(), columns=['sha256', 'local_path']) def foreach_instance(metadata, output_dir, func, max_workers=None, desc='Processing objects') -> pd.DataFrame: import os from concurrent.futures import ThreadPoolExecutor from tqdm import tqdm # load metadata metadata = metadata.to_dict('records') # processing objects records = [] max_workers = max_workers or os.cpu_count() try: with ThreadPoolExecutor(max_workers=max_workers) as executor, \ tqdm(total=len(metadata), desc=desc) as pbar: def worker(metadatum): try: local_path = metadatum['local_path'] sha256 = metadatum['sha256'] file = os.path.join(output_dir, local_path) record = func(file, sha256) if record is not None: records.append(record) pbar.update() except Exception as e: print(f"Error processing object {sha256}: {e}") pbar.update() executor.map(worker, metadata) executor.shutdown(wait=True) except: print("Error happened during processing.") return pd.DataFrame.from_records(records)