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Implementation of tools for reconstruction of vehicle shape.

License: MIT License

Jupyter Notebook 98.25% Python 1.73% GLSL 0.02%

vehicle-shape-reconstruction's Introduction

vehicle-shape-reconstruction

Implementation of tools for reconstruction of vehicle shape.

image-20240317204527771

[TOC]

Usage

Vehicle reconstruction

image-20240307114153371

image-20240307114202770

image-20240307114218694

Vehicles decoding

image-20240307114415736

Installation

a. Install trimesh, scikit-learn, pytorch properly.

b. Clone this repository.

git clone [email protected]:Uzukidd/vehicle-shape-reconstruction.git

c. Install mesh_to_sdf from source.

cd ./mesh_to_sdf
python ./setup.py develop

Data preprocessing

See details from data_preprocessing.md.

References

Engelmann, Francis, Jörg Stückler, and Bastian Leibe. 2016. “Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors.” In Lecture Notes in Computer Science,Pattern Recognition, 219–30. doi:10.1007/978-3-319-45886-1_18.

Engelmann, Francis, Jorg Stuckler, and Bastian Leibe. 2017. “SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction.” In 2017 IEEE Winter Conference on Applications of Computer Vision (WACV). doi:10.1109/wacv.2017.51.

marian42/mesh_to_sdf

open-mmlab/OpenPCDet

https://apolloscape.auto/car_instance.html

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