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Zero
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import os
import re
import argparse
import zipfile
from concurrent.futures import ThreadPoolExecutor
from tqdm import tqdm
import pandas as pd
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/3D-FUTURE.csv")
return metadata
def download(metadata, output_dir, **kwargs):
os.makedirs(output_dir, exist_ok=True)
if not os.path.exists(os.path.join(output_dir, 'raw', '3D-FUTURE-model.zip')):
print("\033[93m")
print("3D-FUTURE have to be downloaded manually")
print(f"Please download the 3D-FUTURE-model.zip file and place it in the {output_dir}/raw directory")
print("Visit https://tianchi.aliyun.com/specials/promotion/alibaba-3d-future for more information")
print("\033[0m")
raise FileNotFoundError("3D-FUTURE-model.zip not found")
downloaded = {}
metadata = metadata.set_index("file_identifier")
with zipfile.ZipFile(os.path.join(output_dir, 'raw', '3D-FUTURE-model.zip')) as zip_ref:
all_names = zip_ref.namelist()
instances = [instance[:-1] for instance in all_names if re.match(r"^3D-FUTURE-model/[^/]+/$", instance)]
instances = list(filter(lambda x: x in metadata.index, instances))
with ThreadPoolExecutor(max_workers=os.cpu_count()) as executor, \
tqdm(total=len(instances), desc="Extracting") as pbar:
def worker(instance: str) -> str:
try:
instance_files = list(filter(lambda x: x.startswith(f"{instance}/") and not x.endswith("/"), all_names))
zip_ref.extractall(os.path.join(output_dir, 'raw'), members=instance_files)
sha256 = get_file_hash(os.path.join(output_dir, 'raw', f"{instance}/image.jpg"))
pbar.update()
return sha256
except Exception as e:
pbar.update()
print(f"Error extracting for {instance}: {e}")
return None
sha256s = executor.map(worker, instances)
executor.shutdown(wait=True)
for k, sha256 in zip(instances, sha256s):
if sha256 is not None:
if sha256 == metadata.loc[k, "sha256"]:
downloaded[sha256] = os.path.join("raw", f"{k}/raw_model.obj")
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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