Download HOT3DHUGGFACE/data_loaders/loader_object_library.py from LIDAR-GT/handpose_annotations: direct link, hf CLI and curl.
- Browser
- Download file 3.23 kB
-
https://huggingface.co/datasets/LIDAR-GT/handpose_annotations/resolve/main/HOT3DHUGGFACE/data_loaders/loader_object_library.py
- Command line
-
hf download hf://datasets/LIDAR-GT/handpose_annotations/HOT3DHUGGFACE/data_loaders/loader_object_library.py
-
curl -L -o loader_object_library.py https://huggingface.co/datasets/LIDAR-GT/handpose_annotations/resolve/main/HOT3DHUGGFACE/data_loaders/loader_object_library.py
3.23 kB
| # Copyright (c) Meta Platforms, Inc. and affiliates. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import os | |
| from typing import Any, Dict, Set | |
| from .io_utils import load_json | |
| class ObjectLibrary(object): | |
| def __init__(self, object_library_json: Dict[str, Any], asset_folder: str): | |
| self._object_library_json = object_library_json | |
| ( | |
| self._object_id_to_name_dict, | |
| self._object_name_to_id_dict, | |
| ) = self._get_object_id_name_mappings(object_library_json) | |
| ( | |
| self._headset_id_to_name_dict, | |
| self._headset_name_to_id_dict, | |
| ) = self._get_headset_id_name_mappings(object_library_json) | |
| self._asset_folder = asset_folder | |
| def object_id_to_name_dict(self): | |
| return self._object_id_to_name_dict | |
| def object_name_to_id_dict(self): | |
| return self._object_name_to_id_dict | |
| def headset_id_to_name_dict(self): | |
| return self._headset_id_to_name_dict | |
| def headset_name_to_id_dict(self): | |
| return self._headset_name_to_id_dict | |
| def object_uids(self) -> Set[str]: | |
| return set(self._object_name_to_id_dict.values()) | |
| def headset_uids(self) -> Set[str]: | |
| return set(self._headset_name_to_id_dict.values()) | |
| def asset_folder_name(self) -> str: | |
| return self._asset_folder | |
| def _get_object_id_name_mappings(self, object_info_json): | |
| object_id_to_name_dict = { | |
| k: v["instance_name"] | |
| for k, v in object_info_json.items() | |
| if v["instance_type"] == "object" and v["motion_type"] == "dynamic" | |
| } | |
| object_name_to_id_dict = {v: k for k, v in object_id_to_name_dict.items()} | |
| return object_id_to_name_dict, object_name_to_id_dict | |
| def _get_headset_id_name_mappings(self, object_info_json): | |
| headset_id_to_name_dict = { | |
| k: v["instance_name"] | |
| for k, v in object_info_json.items() | |
| if v["instance_type"] == "headset" | |
| } | |
| headset_name_to_id_dict = {v: k for k, v in headset_id_to_name_dict.items()} | |
| return headset_id_to_name_dict, headset_name_to_id_dict | |
| def get_cad_asset_path(object_library_folderpath: str, object_id: str) -> str: | |
| return os.path.join(object_library_folderpath, f"{object_id}.glb") | |
| def load_object_library(object_library_folderpath: str) -> ObjectLibrary: | |
| instance_filepath = os.path.join(object_library_folderpath, "instance.json") | |
| object_library_json = load_json(instance_filepath) | |
| asset_folder = os.path.join(object_library_folderpath) | |
| return ObjectLibrary(object_library_json, asset_folder) | |