{"id":18600784,"url":"https://github.com/autonomousvision/kitti360scripts","last_synced_at":"2025-04-07T14:01:11.141Z","repository":{"id":39373135,"uuid":"301221418","full_name":"autonomousvision/kitti360Scripts","owner":"autonomousvision","description":"This repository contains utility scripts for the KITTI-360 dataset.","archived":false,"fork":false,"pushed_at":"2024-10-07T09:39:04.000Z","size":1080,"stargazers_count":406,"open_issues_count":53,"forks_count":64,"subscribers_count":16,"default_branch":"master","last_synced_at":"2025-03-31T13:01:56.565Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/autonomousvision.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-10-04T20:30:54.000Z","updated_at":"2025-03-30T16:11:33.000Z","dependencies_parsed_at":"2024-01-06T01:04:52.801Z","dependency_job_id":"d89f5343-454b-4b95-a927-70f5e2174277","html_url":"https://github.com/autonomousvision/kitti360Scripts","commit_stats":{"total_commits":46,"total_committers":5,"mean_commits":9.2,"dds":0.08695652173913049,"last_synced_commit":"d4d4885102f72ea8d96c9e72e2ff03a8834353a4"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/autonomousvision%2Fkitti360Scripts","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/autonomousvision%2Fkitti360Scripts/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/autonomousvision%2Fkitti360Scripts/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/autonomousvision%2Fkitti360Scripts/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/autonomousvision","download_url":"https://codeload.github.com/autonomousvision/kitti360Scripts/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247666004,"owners_count":20975787,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-07T02:05:24.644Z","updated_at":"2025-04-07T14:01:11.080Z","avatar_url":"https://github.com/autonomousvision.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# The KITTI-360 Dataset\n\nThis repository contains scripts for inspection of the KITTI-360 dataset. This large-scale dataset contains 320k images and 100k laser scans in a driving distance of 73.7km.  We annotate both static and dynamic 3D scene elements with rough bounding primitives and transfer this information into the image domain, resulting in dense semantic \u0026 instance annotations on both 3D point clouds and 2D images.\n\nDetails and download are available at: www.cvlibs.net/datasets/kitti-360\n\n## Dataset Structure\n\nDataset structure and data formats are available at: www.cvlibs.net/datasets/kitti-360/documentation.php\n\n## Scripts\n\n### Installation\n\nInstall `kitti360Scripts` with `pip`\n```\npip install git+https://github.com/autonomousvision/kitti360Scripts.git\n```\n\nFor the 2D graphical tools you additionally need to install\n```\nsudo apt install python-tk python-qt5\n```\n\nWe use open3D to visualize 3D point clouds and 3D bounding boxes:\n```\npip install open3d\n```\n\n### Usage\n\nThis scripts contains helpers for loading and visualizing our dataset. For inspection, please download the dataset and add the root directory to your system path at first:\n\n```\nexport KITTI360_DATASET=/PATH/TO/THE/DATASET\n```\n\nYou can inspect the 2D images and labels using the following tool:\n```\ncd kitti360scripts/viewer\npython kitti360Viewer.py\n```\n\nYou can visualize the 3D fused point clouds and labels using the following tool:\n```\ncd kitti360scripts/viewer\npython kitti360Viewer3D.py -sequence ${sequence}\n```\n\n### Package Content\n\nThe package is structured as follows\n - `helpers`: helper files that are included by other scripts\n - `viewer`: view the 2D image \u0026 labels and the 3D fused point clouds \u0026 labels\n\nNote that all files have a small documentation at the top. Most important files\n - `helpers/labels.py`: central file defining the IDs of all semantic classes and providing mapping between various class properties.\n - `helpers/annotations.py`: central file containing the loaders for all labels including 3D bounding boxes and fused point clouds\n\n## Acknowledgment\n\nThe 2D graphical tool is adapted from Cityscapes. \n\n## Reference\n\nIf you find this code or our dataset helpful in your research, please use the following BibTeX entry.\n\n```\n@article{Liao2021ARXIV, \n   title   = {{KITTI}-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D}, \n   author  = {Yiyi Liao and Jun Xie and Andreas Geiger}, \n   journal = {arXiv preprint arXiv:2109.13410},\n   year    = {2021}, \n}\n```\n\n## Contact\n\nPlease feel free to contact us with any questions, suggestions or comments:\n\n* Yiyi Liao, Andreas Geiger \n* yiyi.liao@tue.mpg.de, a.geiger@uni-tuebingen.de\n* www.cvlibs.net/datasets/kitti-360 \n\n## License\n\nOur __utility scripts__ in this repository are released under the following MIT license. \n\n---\n\nMIT License\n\nCopyright (c) 2021 Autonomous Vision Group\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n---\n\nOur __datasets__ and __benchmarks__ are copyright by us and published under the [Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License](https://creativecommons.org/licenses/by-nc-sa/3.0/). This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fautonomousvision%2Fkitti360scripts","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fautonomousvision%2Fkitti360scripts","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fautonomousvision%2Fkitti360scripts/lists"}