Datasets:

allenai

/

objaverse

like 303

From the source code:

def load_objects(uids: List[str], download_processes: int = 1) -> Dict[str, str]:
"""Return the path to the object files for the given uids.

If the object is not already downloaded, it will be downloaded.

Args:
    uids: A list of uids.
    download_processes: The number of processes to use to download the objects.

Returns:
    A dictionary mapping the object uid to the local path of where the object
    downloaded.
"""
object_paths = _load_object_paths()
out = {}
if download_processes == 1:
    uids_to_download = []
    for uid in uids:
        if uid.endswith(".glb"):
            uid = uid[:-4]
        if uid not in object_paths:
            warnings.warn(f"Could not find object with uid {uid}. Skipping it.")
            continue
        object_path = object_paths[uid]
        local_path = os.path.join(_VERSIONED_PATH, object_path)
        if os.path.exists(local_path):
            out[uid] = local_path
            continue
        uids_to_download.append((uid, object_path))
    if len(uids_to_download) == 0:
        return out
    start_file_count = len(
        glob.glob(os.path.join(_VERSIONED_PATH, "glbs", "*", "*.glb"))
    )
    for uid, object_path in uids_to_download:
        uid, local_path = _download_object(
            uid, object_path, len(uids_to_download), start_file_count
        )
        out[uid] = local_path
else:
    args = []
    for uid in uids:
        if uid.endswith(".glb"):
            uid = uid[:-4]
        if uid not in object_paths:
            warnings.warn(f"Could not find object with uid {uid}. Skipping it.")
            continue
        object_path = object_paths[uid]
        local_path = os.path.join(_VERSIONED_PATH, object_path)
        if not os.path.exists(local_path):
            args.append((uid, object_paths[uid]))
        else:
            out[uid] = local_path
    if len(args) == 0:
        return out
    print(
        f"starting download of {len(args)} objects with {download_processes} processes"
    )
    start_file_count = len(
        glob.glob(os.path.join(_VERSIONED_PATH, "glbs", "*", "*.glb"))
    )
    args = [(*arg, len(args), start_file_count) for arg in args]
    with multiprocessing.Pool(download_processes) as pool:
        r = pool.starmap(_download_object, args)
        for uid, local_path in r:
            out[uid] = local_path
return out