wehub-resource-sync
120 lines
4.6 KiB
Python
120 lines
4.6 KiB
Python
import os
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import re
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import argparse
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import tarfile
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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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from utils import get_file_hash
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def add_args(parser: argparse.ArgumentParser):
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pass
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def get_metadata(**kwargs):
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metadata = pd.read_csv("hf://datasets/JeffreyXiang/TRELLIS-500K/ABO.csv")
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return metadata
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def download(metadata, root, **kwargs):
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output_dir = root
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os.makedirs(os.path.join(output_dir, 'raw'), exist_ok=True)
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if not os.path.exists(os.path.join(output_dir, 'raw', 'abo-3dmodels.tar')):
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try:
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os.makedirs(os.path.join(output_dir, 'raw'), exist_ok=True)
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os.system(f"wget -O {output_dir}/raw/abo-3dmodels.tar https://amazon-berkeley-objects.s3.amazonaws.com/archives/abo-3dmodels.tar")
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except:
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print("\033[93m")
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print("Error downloading ABO dataset. Please check your internet connection and try again.")
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print("Or, you can manually download the abo-3dmodels.tar file and place it in the {output_dir}/raw directory")
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print("Visit https://amazon-berkeley-objects.s3.amazonaws.com/index.html for more information")
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print("\033[0m")
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raise FileNotFoundError("Error downloading ABO dataset")
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downloaded = {}
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metadata = metadata.set_index("file_identifier")
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with tarfile.open(os.path.join(output_dir, 'raw', 'abo-3dmodels.tar')) as tar:
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with ThreadPoolExecutor(max_workers=1) as executor, \
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tqdm(total=len(metadata), desc="Extracting") as pbar:
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def worker(instance: str) -> str:
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try:
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tar.extract(f"3dmodels/original/{instance}", path=os.path.join(output_dir, 'raw'))
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sha256 = get_file_hash(os.path.join(output_dir, 'raw/3dmodels/original', instance))
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pbar.update()
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return sha256
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except Exception as e:
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pbar.update()
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print(f"Error extracting for {instance}: {e}")
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return None
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sha256s = executor.map(worker, metadata.index)
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executor.shutdown(wait=True)
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for k, sha256 in zip(metadata.index, sha256s):
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if sha256 is not None:
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if sha256 == metadata.loc[k, "sha256"]:
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downloaded[sha256] = os.path.join('raw/3dmodels/original', k)
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else:
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print(f"Error downloading {k}: sha256s do not match")
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return pd.DataFrame(downloaded.items(), columns=['sha256', 'local_path'])
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def _process_instance(args):
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"""Worker function for ProcessPoolExecutor (must be top-level for pickling)"""
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import os
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metadatum, output_dir, func = args
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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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file = os.path.join(output_dir, local_path)
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record = func(file, sha256)
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return record
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except Exception as e:
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print(f"Error processing object {metadatum.get('sha256', '?')}: {e}")
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return None
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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 ProcessPoolExecutor, as_completed
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from tqdm import tqdm
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# load metadata
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metadata = metadata.to_dict('records')
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max_workers = max_workers or os.cpu_count()
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records = []
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# Track processed/skipped counts
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total_processed = 0
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total_skipped = 0
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try:
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with ProcessPoolExecutor(max_workers=max_workers) as executor:
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futures = {
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executor.submit(_process_instance, (m, output_dir, func)): m['sha256']
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for m in metadata
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}
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pbar = tqdm(as_completed(futures), total=len(futures), desc=desc)
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for future in pbar:
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try:
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r = future.result()
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if r is not None:
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records.append(r)
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# Update stats
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if '_processed_count' in r:
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total_processed += r['_processed_count']
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if '_skipped_count' in r:
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total_skipped += r['_skipped_count']
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# Update progress bar display
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pbar.set_postfix(processed=total_processed, skipped=total_skipped, refresh=False)
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except Exception as e:
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sha256 = futures[future]
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print(f"Error processing object {sha256}: {e}")
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except Exception as e:
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print(f"Error happened during processing: {e}")
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return pd.DataFrame.from_records(records) |