patharanor/teasor-pp repository overview

⁠Dockerize TEASER++

TEASER++ is a fast and certifiably-robust point cloud registration library written in C++, with Python and MATLAB bindings.

I'm very interesting in point cloud registration and I found TEASER++ algorithm in MIT-SPARK⁠, please refer to original repo⁠. To make it easy to use in my project, I wrapping it with container.

Left: correspondences generated by 3DSmoothNet (green and red lines represent the inlier and outlier correspondences according to the ground truth respectively). Right: alignment estimated by TEASER++ (green dots represent inliers found by TEASER++).

In the container including :

• JupyterLab
• TensorFlow - GPU
• CMake v3.19.3
• Open3D
• Clang v6.0
• Python3
• Others

⁠Usage

$ docker run -d --gpus all \
-p "8888:8888" \
-v notebook:/app/notebook \
--restart always \
--name=cuda-jupyter-conda \
patharanor/teasor-pp:0.0.5

⁠Example

• notebook⁠