import os import argparse from concurrent.futures import ThreadPoolExecutor from tqdm import tqdm import pandas as pd import objaverse.xl as oxl from utils import get_file_hash def add_args(parser: argparse.ArgumentParser): parser.add_argument('--source', type=str, default='sketchfab', help='Data source to download annotations from (github, sketchfab)') def get_metadata(source, **kwargs): if source == 'sketchfab': metadata = pd.read_csv("hf://datasets/JeffreyXiang/TRELLIS-500K/ObjaverseXL_sketchfab.csv") elif source == 'github': metadata = pd.read_csv("hf://datasets/JeffreyXiang/TRELLIS-500K/ObjaverseXL_github.csv") else: raise ValueError(f"Invalid source: {source}") return metadata def download(metadata, output_dir, **kwargs): os.makedirs(os.path.join(output_dir, 'raw'), exist_ok=True) # download annotations annotations = oxl.get_annotations() annotations = annotations[annotations['sha256'].isin(metadata['sha256'].values)] # download and render objects file_paths = oxl.download_objects( annotations, download_dir=os.path.join(output_dir, "raw"), save_repo_format="zip", ) downloaded = {} metadata = metadata.set_index("file_identifier") for k, v in file_paths.items(): sha256 = metadata.loc[k, "sha256"] downloaded[sha256] = os.path.relpath(v, output_dir) 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 import tempfile import zipfile # 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'] if local_path.startswith('raw/github/repos/'): path_parts = local_path.split('/') file_name = os.path.join(*path_parts[5:]) zip_file = os.path.join(output_dir, *path_parts[:5]) with tempfile.TemporaryDirectory() as tmp_dir: with zipfile.ZipFile(zip_file, 'r') as zip_ref: zip_ref.extractall(tmp_dir) file = os.path.join(tmp_dir, file_name) record = func(file, sha256) else: 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)