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Pip-package for trajectory benchmarking from "Be your own Benchmark: No-Reference Trajectory Metric on Registered Point Clouds", ECMR'21

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The reasons are well-described at https://py-pkgs.org/04-package-structure#the-source-layout

enhancement

* Map Metrics 0.0.1: * Python version 3.8: * Operating System win10: ![1](https://user-images.githubusercontent.com/8140299/147306366-a972be17-84cc-45f8-93bb-3c018b93e46a.png) ### Description It tired the metirc on a small scale data, likely a room with differential chassis...

Configure CI to check whether C++ code is approved by cpplint.

enhancement

It will be useful for quick testing and performance measurments if library is able to run from command-line interface. For example, `./map-metrics --pc="data/kitti_00" --tj="data/Tj_0" --metric="mme" [--"some common hyperparameters"]` It's build...

enhancement

* Map Metrics version: 0.0.3 * Python version: >=3.6 * Operating System: MacOS ### Description Pip-package supports MacOS >=10.14 due to C++17 features. We can downgrade to C++14, but a...

enhancement

Now, the most time consuming operation is iteration over points in point cloud, which could be parallelized.

A \delta seems missing in Eq.6 of the paper. Have you tested on all the sequences and other dataset. Recommend to ref LIBRE: The Multiple 3D LiDAR Dataset. VLP64 may...