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Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Stars: ✭ 1,352 (+1175.47%)

Mutual labels: 3d-reconstruction

Igr

Implicit Geometric Regularization for Learning Shapes

Stars: ✭ 90 (-15.09%)

Mutual labels: 3d-reconstruction

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pcl

PCL（Point Cloud Library）点云库 个人开发环境：Ubuntu18.04

墙裂建议先看下：PCL(Point Cloud Library)学习指南&资料推荐

个人笔记：PCL(Point Cloud Library)学习记录（2020）

相关项目实战:

3D-MOT(多目标检测和追踪): https://github.com/HuangCongQing/3D-LIDAR-Multi-Object-Tracking/tree/kitti

@双愚 , 若fork或star请注明来源

点云数据的处理可以采用获得广泛应用的Point Cloud Library (点云库，PCL库)。

PCL库是一个最初发布于2013年的开源C++库。它实现了大量点云相关的通用算法和高效的数据管理。

支持多种操作系统平台，可在Windows、Linux、Android、Mac OS X、部分嵌入式实时系统上运行。如果说OpenCV是2D信息获取与处理的技术结晶，那么PCL在3D信息获取与处理上，就与OpenCV具有同等地位

PCL是BSD授权方式，可以免费进行商业和学术应用。

英文官网：https://pcl.readthedocs.io/projects/tutorials/en/latest/#
- https://pointclouds.org/
GitHub：https://github.com/PointCloudLibrary/pcl
- 学习基于pcl1.9.1：https://github.com/PointCloudLibrary/pcl/tree/pcl-1.9.1

Tips:

ubuntu下使用PCL，需要写CMakeLists.txt文件，然后编译才可以生成可执行文件.
可执行文件在build文件夹下，所以运行可执行文件时，后面添加参数的pcd文件，应放在build文件夹下才能获取到。（注意文件路径）

目录contents

a graph of code libraries

00base

step1

01common

step2

step3

step4

编译过程

mkdir build
cd build
cmake .. // 对上一级进行编译
make  // 生成可执行文件命令
./executedemo  // 运行可执行文件

实战项目

不理解的地方,欢迎提issue: https://github.com/HuangCongQing/pcl-learning/issues

3D-MOT(多目标检测和追踪)
- https://github.com/HuangCongQing/3D-LIDAR-Multi-Object-Tracking/tree/kitti
3D点云目标检测&语义分割-SOTA方法,代码,论文,数据集等
- https://github.com/HuangCongQing/3D-Point-Clouds

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HuangCongQing / Pcl Learning

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