{"id":13443575,"url":"https://github.com/Rock-100/MonoDet","last_synced_at":"2025-03-20T16:32:10.058Z","repository":{"id":43263146,"uuid":"356441279","full_name":"Rock-100/MonoDet","owner":"Rock-100","description":"[ICCV21 \u0026 WACV23] Monocular 3D Object Detection for Automonous Driving","archived":false,"fork":false,"pushed_at":"2023-07-06T09:44:05.000Z","size":11549,"stargazers_count":127,"open_issues_count":5,"forks_count":21,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-03-19T06:03:46.776Z","etag":null,"topics":["3d-object-detection"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Rock-100.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}},"created_at":"2021-04-10T01:52:10.000Z","updated_at":"2025-03-10T04:04:13.000Z","dependencies_parsed_at":"2024-01-18T14:45:06.731Z","dependency_job_id":"e06461b9-f066-4405-9fb0-a838d2e41f95","html_url":"https://github.com/Rock-100/MonoDet","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rock-100%2FMonoDet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rock-100%2FMonoDet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rock-100%2FMonoDet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rock-100%2FMonoDet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Rock-100","download_url":"https://codeload.github.com/Rock-100/MonoDet/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244649974,"owners_count":20487532,"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":["3d-object-detection"],"created_at":"2024-07-31T03:02:04.143Z","updated_at":"2025-03-20T16:32:09.189Z","avatar_url":"https://github.com/Rock-100.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# MonoRCNN\nMonoRCNN is a monocular 3D object detection method for autonomous driving, published at ICCV 2021 and WACV 2023. This project is an implementation of MonoRCNN.\n\n## Related Link\n* [Video demo (KITTI)](https://www.youtube.com/watch?v=1G_yV1nPoWE)\n* [Paper (ICCV 2021)](https://arxiv.org/abs/2104.03775)\n* [Paper (WACV 2023)](https://openaccess.thecvf.com/content/WACV2023/html/Shi_Multivariate_Probabilistic_Monocular_3D_Object_Detection_WACV_2023_paper.html)\n* [KITTI benchmark (ICCV 2021)](http://www.cvlibs.net/datasets/kitti/eval_object_detail.php?\u0026result=06e0aacbeb8de57a09d2a3557907064aa501048f)\n* [KITTI benchmark (WACV 2023)](https://www.cvlibs.net/datasets/kitti/eval_object_detail.php?\u0026result=5bbb320aee42eee314697370b8183217d61e8141)\n\n## Visualization\n* KITTI\n\u003cimg src='images/KITTI_testset_000095.png' width=805\u003e\n\u003cimg src='images/KITTI_testset_000181.png' width=805\u003e\n\n* WAYMO\n\u003cp float=\"left\"\u003e\n\u003cimg src='images/WAYMO_valset_057159.png' width=400\u003e\n\u003cimg src='images/WAYMO_valset_060794.png' width=400\u003e\n\u003c/p\u003e\n\n## Installation\n\n* Python 3.6\n* PyTorch 1.5.0 \n* Detectron2 0.1.3 \n\nPlease use the Detectron2 included in this project. To ignore fully occluded objects during training, [`build.py`](detectron2/data/build.py#L55), [`rpn.py`](detectron2/modeling/proposal_generator/rpn.py#L292), and [`roi_heads.py`](detectron2/modeling/roi_heads/roi_heads.py#L272) have been modified.\n\n## Dataset Preparation\n* [KITTI](projects/KITTI/README.md)\n\n## Model \u0026 Log\n* [KITTI val split](https://drive.google.com/file/d/1OEHSLqg7goXb483GRLvM-z96ZDzN7wdI/view?usp=sharing)\n\nOrganize the downloaded files as follows:\n```\n├── projects\n│   ├── MonoRCNN\n│   │   ├── output\n│   │   │   ├── model\n│   │   │   ├── log.txt\n│   │   │   ├── ...\n```\n\n* [Waymo](https://drive.google.com/file/d/1fL3E3yqZbRd3va3kN-1j-1YlX61-Qo13/view?usp=sharing)\n\n## Test\n```\ncd projects/MonoRCNN\n./main.py --config-file config/MonoRCNN_KITTI.yaml --num-gpus 1 --resume --eval-only\n```\nSet [`VISUALIZE`](projects/MonoRCNN/config/MonoRCNN_KITTI.yaml#L13) as `True` to visualize 3D object detection results (saved in `output/evaluation/test/visualization`).\n\n## Training\n```\ncd projects/MonoRCNN\n./main.py --config-file config/MonoRCNN_KITTI.yaml --num-gpus 1\n```\n\n## Citation\nIf you find this project useful in your research, please cite:\n\n```\n@inproceedings{MonoRCNN_ICCV21,\n    title = {Geometry-based Distance Decomposition for Monocular 3D Object Detection},\n    author = {Xuepeng Shi and Qi Ye and \n              Xiaozhi Chen and Chuangrong Chen and \n              Zhixiang Chen and Tae-Kyun Kim},\n    booktitle = {ICCV},\n    year = {2021},\n}\n```\n```\n@inproceedings{MonoRCNN_WACV23,\n    title = {Multivariate Probabilistic Monocular 3D Object Detection},\n    author = {Xuepeng Shi and Zhixiang Chen and Tae-Kyun Kim},\n    booktitle = {WACV},\n    year = {2023},\n}\n```\n\n## Acknowledgement\n* [Detectron2](https://github.com/facebookresearch/detectron2)\n* [M3D-RPN](https://github.com/garrickbrazil/M3D-RPN)\n* [MMDetection](https://github.com/open-mmlab/mmdetection)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FRock-100%2FMonoDet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FRock-100%2FMonoDet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FRock-100%2FMonoDet/lists"}