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Zero
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import os
import re
import argparse
import tarfile
from concurrent.futures import ThreadPoolExecutor
from tqdm import tqdm
import pandas as pd
import huggingface_hub
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/HSSD.csv")
return metadata
def download(metadata, output_dir, **kwargs):
os.makedirs(os.path.join(output_dir, 'raw'), exist_ok=True)
# check login
try:
huggingface_hub.whoami()
except:
print("\033[93m")
print("Haven't logged in to the Hugging Face Hub.")
print("Visit https://huggingface.co/settings/tokens to get a token.")
print("\033[0m")
huggingface_hub.login()
try:
huggingface_hub.hf_hub_download(repo_id="hssd/hssd-models", filename="README.md", repo_type="dataset")
except:
print("\033[93m")
print("Error downloading HSSD dataset.")
print("Check if you have access to the HSSD dataset.")
print("Visit https://huggingface.co/datasets/hssd/hssd-models for more information")
print("\033[0m")
downloaded = {}
metadata = metadata.set_index("file_identifier")
with ThreadPoolExecutor(max_workers=os.cpu_count()) as executor, \
tqdm(total=len(metadata), desc="Downloading") as pbar:
def worker(instance: str) -> str:
try:
huggingface_hub.hf_hub_download(repo_id="hssd/hssd-models", filename=instance, repo_type="dataset", local_dir=os.path.join(output_dir, 'raw'))
sha256 = get_file_hash(os.path.join(output_dir, 'raw', 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', 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)
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