├── .DS_Store ├── .gitignore ├── README.md ├── point_process_piplines ├── .ipynb_checkpoints │ └── train_pointnet-checkpoint.ipynb ├── README.md ├── data_augmentation.py ├── generate_training_set.py ├── logs │ ├── 20210510-170824 │ │ ├── train │ │ │ ├── events.out.tfevents.1620655706.teamo.2799.16968603.v2 │ │ │ ├── events.out.tfevents.1620655708.teamo.profile-empty │ │ │ ├── events.out.tfevents.1620659505.teamo.2799.26939218.v2 │ │ │ └── plugins │ │ │ │ └── profile │ │ │ │ ├── 2021_05_10_17_08_28 │ │ │ │ ├── teamo.input_pipeline.pb │ │ │ │ ├── teamo.kernel_stats.pb │ │ │ │ ├── teamo.memory_profile.json.gz │ │ │ │ ├── teamo.overview_page.pb │ │ │ │ ├── teamo.tensorflow_stats.pb │ │ │ │ ├── teamo.trace.json.gz │ │ │ │ └── teamo.xplane.pb │ │ │ │ └── 2021_05_10_18_11_47 │ │ │ │ ├── teamo.input_pipeline.pb │ │ │ │ ├── teamo.kernel_stats.pb │ │ │ │ ├── teamo.memory_profile.json.gz │ │ │ │ ├── teamo.overview_page.pb │ │ │ │ ├── teamo.tensorflow_stats.pb │ │ │ │ ├── teamo.trace.json.gz │ │ │ │ └── teamo.xplane.pb │ │ └── validation │ │ │ └── events.out.tfevents.1620655898.teamo.2799.17532386.v2 │ └── 20210510-181228 │ │ ├── train │ │ ├── events.out.tfevents.1620659549.teamo.2799.26953316.v2 │ │ ├── events.out.tfevents.1620659551.teamo.profile-empty │ │ └── plugins │ │ │ └── profile │ │ │ └── 2021_05_10_18_12_31 │ │ │ ├── teamo.input_pipeline.pb │ │ │ ├── teamo.kernel_stats.pb │ │ │ ├── teamo.memory_profile.json.gz │ │ │ ├── teamo.overview_page.pb │ │ │ ├── teamo.tensorflow_stats.pb │ │ │ ├── teamo.trace.json.gz │ │ │ └── teamo.xplane.pb │ │ └── validation │ │ └── events.out.tfevents.1620659741.teamo.2799.27517099.v2 ├── object_detect.py ├── pictures │ ├── 1.png │ ├── 10.png │ ├── 11.png │ ├── 12.png │ ├── 13.png │ ├── 14.png │ ├── 15.png │ ├── 16-1620681287966.png │ ├── 16.png │ ├── 17.png │ ├── 2.png │ ├── 3.png │ ├── 7-1620666285943.png │ ├── 7-1620680667445.png │ ├── 7.png │ ├── 8.png │ ├── 9.png │ ├── Figure_1-1620308275243.png │ ├── Figure_1.png │ ├── Figure_3.png │ ├── Figure_4.png │ └── Figure_5.png ├── pointnet_model.h5 └── train_pointnet.ipynb ├── 第1章:Introduction and Basic Algorithms ├── Lecture 1.pdf ├── README.md ├── pca_normal.py ├── pictures │ ├── 1.png │ ├── 2.png │ ├── 3.png │ ├── 4.png │ └── 5.png ├── voxel_filter.py ├── 作业说明.pdf ├── 第一章优秀作业分享_张点堃.pdf └── 第一章作业思路讲解--助教林轩竹.pdf ├── 第2章:Nearest Neighbor Problem ├── LICENSE ├── Lecture 2.pdf ├── README.md ├── __pycache__ │ ├── kdtree.cpython-37.pyc │ ├── kdtree.cpython-38.pyc │ ├── octree.cpython-37.pyc │ ├── octree.cpython-38.pyc │ ├── result_set.cpython-37.pyc │ └── result_set.cpython-38.pyc ├── benchmark.py ├── kdtree.py ├── octree.py ├── pictures │ ├── 1.png │ ├── 10.png │ ├── 11.png │ └── 2.png ├── result_set.py ├── 第二章优秀作业讲评--冯冠植.pdf ├── 第二章作业思路讲解--助教陆一帆.pdf └── 第二章作业思路讲解_助教赵勇.pdf ├── 第3章:Clustering ├── GMM.py ├── KMeans.py ├── Lecture 3.pdf ├── README.md ├── Spectral_Clustering.py ├── __pycache__ │ ├── GMM.cpython-37.pyc │ ├── KMeans.cpython-37.pyc │ └── Spectral_Clustering.cpython-37.pyc ├── compare_cluster.py ├── pictures │ ├── 1.png │ ├── 10.png │ ├── 2.png │ ├── 3.png │ ├── 4.png │ ├── 5.png │ ├── 6.png │ ├── 7.png │ ├── 8.png │ └── 9.png └── 【讲评】作业第三讲思路讲解--助教林轩竹.pdf ├── 第4章:Model Fitting ├── README.md ├── clustering.py ├── pictures │ ├── 1.png │ ├── 2.png │ ├── 3.png │ ├── 4.png │ └── 5.png ├── 张点堃-第四章作业分享.pdf └── 第4章思路讲解--助教陆一帆.pdf ├── 第5章:Deep Learning on Point Cloud ├── README.md ├── pointnet(pytorch).ipynb └── pointnet（tensorflow）.ipynb ├── 第6章:3D Object Detection ├── .DS_Store ├── .gitignore ├── Lang_PointPillars_Fast_Encoders_for_Object_Detection_From_Point_Clouds_CVPR_2019_paper.pdf ├── PointCloudLecture6.pdf ├── README.md ├── generate_result.ipynb ├── pictures │ └── 1.PNG ├── results_PointRCNN │ ├── .DS_Store │ └── result_sha │ │ ├── .DS_Store │ │ ├── plot │ │ ├── car_detection.eps │ │ ├── car_detection.gp │ │ ├── car_detection.pdf │ │ ├── car_detection.png │ │ ├── car_detection.txt │ │ ├── car_detection_3d.eps │ │ ├── car_detection_3d.gp │ │ ├── car_detection_3d.pdf │ │ ├── car_detection_3d.png │ │ ├── car_detection_3d.txt │ │ ├── car_detection_ground.eps │ │ ├── car_detection_ground.gp │ │ ├── car_detection_ground.pdf │ │ ├── car_detection_ground.png │ │ ├── car_detection_ground.txt │ │ ├── car_orientation.eps │ │ ├── car_orientation.gp │ │ ├── car_orientation.pdf │ │ ├── car_orientation.png │ │ └── car_orientation.txt │ │ ├── stats_car_detection.txt │ │ ├── stats_car_detection_3d.txt │ │ ├── stats_car_detection_ground.txt │ │ └── stats_car_orientation.txt ├── results_sim │ └── result_sha │ │ ├── plot │ │ ├── car_detection.eps │ │ ├── car_detection.gp │ │ ├── car_detection.pdf │ │ ├── car_detection.png │ │ ├── car_detection.txt │ │ ├── car_detection_3d.eps │ │ ├── car_detection_3d.gp │ │ ├── car_detection_3d.pdf │ │ ├── car_detection_3d.png │ │ ├── car_detection_3d.txt │ │ ├── car_detection_ground.eps │ │ ├── car_detection_ground.gp │ │ ├── car_detection_ground.pdf │ │ ├── car_detection_ground.png │ │ ├── car_detection_ground.txt │ │ ├── cyclist_detection.eps │ │ ├── cyclist_detection.gp │ │ ├── cyclist_detection.pdf │ │ ├── cyclist_detection.png │ │ ├── cyclist_detection.txt │ │ ├── cyclist_detection_3d.eps │ │ ├── cyclist_detection_3d.gp │ │ ├── cyclist_detection_3d.pdf │ │ ├── cyclist_detection_3d.png │ │ ├── cyclist_detection_3d.txt │ │ ├── cyclist_detection_ground.eps │ │ ├── cyclist_detection_ground.gp │ │ ├── cyclist_detection_ground.pdf │ │ ├── cyclist_detection_ground.png │ │ ├── cyclist_detection_ground.txt │ │ ├── pedestrian_detection.eps │ │ ├── pedestrian_detection.gp │ │ ├── pedestrian_detection.pdf │ │ ├── pedestrian_detection.png │ │ ├── pedestrian_detection.txt │ │ ├── pedestrian_detection_3d.eps │ │ ├── pedestrian_detection_3d.gp │ │ ├── pedestrian_detection_3d.pdf │ │ ├── pedestrian_detection_3d.png │ │ ├── pedestrian_detection_3d.txt │ │ ├── pedestrian_detection_ground.eps │ │ ├── pedestrian_detection_ground.gp │ │ ├── pedestrian_detection_ground.pdf │ │ ├── pedestrian_detection_ground.png │ │ └── pedestrian_detection_ground.txt │ │ ├── stats_car_detection.txt │ │ ├── stats_car_detection_3d.txt │ │ ├── stats_car_detection_ground.txt │ │ ├── stats_cyclist_detection.txt │ │ ├── stats_cyclist_detection_3d.txt │ │ ├── stats_cyclist_detection_ground.txt │ │ ├── stats_pedestrian_detection.txt │ │ ├── stats_pedestrian_detection_3d.txt │ │ └── stats_pedestrian_detection_ground.txt ├── 张点堃-第六章作业分享.pdf └── 第六章作业思路讲解--助教林轩竹.pdf ├── 第7章:3D Feature Detection ├── ISS.py ├── PointCloudLecture7.pdf ├── README.md ├── pictures │ ├── 1.png │ ├── 2.png │ └── 3.png └── 第七章思路讲解--助教林轩竹.pdf ├── 第8章:3D Feature Description ├── .DS_Store ├── FPFH.py ├── PointCloudLecture8.pdf ├── README.md └── pictures │ ├── 1.png │ └── 2.png └── 第9章:Registration ├── .DS_Store ├── .gitignore ├── PointCloudLecture9.pdf ├── README.md ├── Registration.py ├── Registration_o3d.py ├── pictures ├── 2.png ├── 3.png └── 4.png ├── registration_dataset ├── .DS_Store ├── evaluate_rt.py ├── 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