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ObjaverseXL.py
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94 lines (76 loc) · 3.58 KB
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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
import tempfile
import zipfile
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', no_file=False):
records = []
if max_workers is None or max_workers <= 0:
max_workers = os.cpu_count()
try:
with ThreadPoolExecutor(max_workers=max_workers) as executor, \
tqdm(total=len(metadata), desc=desc) as pbar:
def worker(metadatum):
try:
sha256 = metadatum['sha256']
if no_file:
record = func(None, metadatum)
else:
local_path = metadatum['local_path']
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])
import tempfile, zipfile
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, metadatum)
else:
file = os.path.join(output_dir, local_path)
record = func(file, metadatum)
if record is not None:
records.append(record)
pbar.update()
except Exception as e:
print(f"Error processing object {metadatum.get('sha256', 'unknown')}: {e}")
pbar.update()
for metadatum in metadata.to_dict('records'):
executor.submit(worker, metadatum)
executor.shutdown(wait=True)
except Exception as e:
print(f"Error happened during processing: {e}")
return pd.DataFrame.from_records(records)