93 lines
3.4 KiB
Python
93 lines
3.4 KiB
Python
import os
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import argparse
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from concurrent.futures import ThreadPoolExecutor
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from tqdm import tqdm
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import pandas as pd
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import objaverse.xl as oxl
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from utils import get_file_hash
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def add_args(parser: argparse.ArgumentParser):
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parser.add_argument('--source', type=str, default='sketchfab',
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help='Data source to download annotations from (github, sketchfab)')
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def get_metadata(source, **kwargs):
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if source == 'sketchfab':
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metadata = pd.read_csv("hf://datasets/JeffreyXiang/TRELLIS-500K/ObjaverseXL_sketchfab.csv")
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elif source == 'github':
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metadata = pd.read_csv("hf://datasets/JeffreyXiang/TRELLIS-500K/ObjaverseXL_github.csv")
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else:
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raise ValueError(f"Invalid source: {source}")
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return metadata
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def download(metadata, output_dir, **kwargs):
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os.makedirs(os.path.join(output_dir, 'raw'), exist_ok=True)
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# download annotations
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annotations = oxl.get_annotations()
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annotations = annotations[annotations['sha256'].isin(metadata['sha256'].values)]
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# download and render objects
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file_paths = oxl.download_objects(
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annotations,
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download_dir=os.path.join(output_dir, "raw"),
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save_repo_format="zip",
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)
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downloaded = {}
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metadata = metadata.set_index("file_identifier")
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for k, v in file_paths.items():
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sha256 = metadata.loc[k, "sha256"]
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downloaded[sha256] = os.path.relpath(v, output_dir)
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return pd.DataFrame(downloaded.items(), columns=['sha256', 'local_path'])
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def foreach_instance(metadata, output_dir, func, max_workers=None, desc='Processing objects') -> pd.DataFrame:
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import os
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from concurrent.futures import ThreadPoolExecutor
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from tqdm import tqdm
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import tempfile
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import zipfile
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# load metadata
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metadata = metadata.to_dict('records')
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# processing objects
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records = []
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max_workers = max_workers or os.cpu_count()
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try:
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with ThreadPoolExecutor(max_workers=max_workers) as executor, \
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tqdm(total=len(metadata), desc=desc) as pbar:
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def worker(metadatum):
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try:
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local_path = metadatum['local_path']
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sha256 = metadatum['sha256']
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if local_path.startswith('raw/github/repos/'):
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path_parts = local_path.split('/')
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file_name = os.path.join(*path_parts[5:])
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zip_file = os.path.join(output_dir, *path_parts[:5])
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with tempfile.TemporaryDirectory() as tmp_dir:
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with zipfile.ZipFile(zip_file, 'r') as zip_ref:
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zip_ref.extractall(tmp_dir)
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file = os.path.join(tmp_dir, file_name)
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record = func(file, sha256)
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else:
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file = os.path.join(output_dir, local_path)
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record = func(file, sha256)
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if record is not None:
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records.append(record)
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pbar.update()
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except Exception as e:
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print(f"Error processing object {sha256}: {e}")
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pbar.update()
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executor.map(worker, metadata)
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executor.shutdown(wait=True)
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except:
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print("Error happened during processing.")
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return pd.DataFrame.from_records(records)
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