/Pointcloud-Viewer

A light and easy to change point cloud / lidar visualization tool, and supports multiple formats of data types.

Primary LanguagePython

Point Cloud Viewer

A light and easy to change point cloud / lidar visualization tool, and supports multiple formats of data types.

Features

Features description
clouds_one_by_one Play the point cloud in one frame and press q for the next frame
clouds_all_in_one All the point clouds in DATA_PATH are played in one window (Note: there is no registration for point clouds)
clouds_one_by_one_with_boxes Similar to clouds_one_by_one,just only with bounding boxes.
clouds_all_in_one_with_boxes Set the first frame in DATA_PATHas the base map, place all bounding boxes in the same window, different frames of boxes different colors

Description

├── boxes            <----- Usually, `BOXES_PATH` is the storage path of boxes
│   ├── 000.npz    
│   └── 001.npz
├── clouds           <----- Usually, `DATA_PATH` is the storage path of clouds
│   ├── 000.npz
│   └── 001.npz
├── docs
├── PointCloudVis.py <----- The feature class
├── README.md
├── src              <----- You can expand the custom function here, but must use the API of "open3d"
│   ├── __init__.py
│   ├── open3d_arrow.py   
│   ├── open3d_box.py
│   └── open3d_coordinate.py
└── viewer.py        <----- The main function

Install

# Install Open3D stable release with pip
$ pip install open3d

# Install Open3D stable release with Conda
$ conda install -c open3d-admin -c conda-forge open3d

# Test the installation
$ python -c "import open3d as o3d; print(o3d)"

clouds_one_by_one

python viewer.py --data_path clouds

fig_method

clouds_all_in_one

#The color scheme of the current version of point cloud has changed
python viewer.py --data_path clouds --all

fig_method

clouds_one_by_one_with_boxes

python viewer.py --data_path clouds --boxes_path boxes --boxes

fig_method

clouds_all_in_one_with_boxes

python viewer.py --data_path clouds --boxes_path boxes --boxes --all

fig_method