traj-dist | python package for computing distance | Robotics library

by bguillouet Python Version: 1.15 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | traj-dist Summary

traj-dist is a Python library typically used in Automation, Robotics applications. traj-dist has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However traj-dist has 1 bugs. You can install using 'pip install traj-dist' or download it from GitHub, PyPI.

9 distances between trajectories are available in the trajectory_distance package.

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Quality

Security

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Support

traj-dist has a low active ecosystem.

It has 242 star(s) with 72 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 4 have been closed. On average issues are closed in 70 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of traj-dist is 1.15

Quality

traj-dist has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 57 code smells.

Security

traj-dist has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

traj-dist code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

traj-dist is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

traj-dist releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

traj-dist saves you 495 person hours of effort in developing the same functionality from scratch.

It has 1165 lines of code, 63 functions and 21 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed traj-dist and discovered the below as its top functions. This is intended to give you an instant insight into traj-dist implemented functionality, and help decide if they suit your requirements.

Compute the p - distance distribution
Convert trajectory set to grid
Finds lats that are bigger than p2
Find lons bigger than p2
Convert a trajectory set to a grid
Compute the cross track of a point
Return the great circle distance between two points
Convert cartesian coordinates to spherical coordinates
Convert from spherical coordinates to cartesian coordinates
R Calculate the distance between two points
Calculate the distance between two paths
Compute the erp distance between t0 and t0
Discretization of two trajectories
Compute the squared distance between two points
Calculates the distance between two points
R Return the erp distance between two points
Estimate Euler distance between t0 and t0
Calculates the lss similarity between two points
Returns the cosine similarity between two points
Compute the difference between two points
Compute the euclidean distance between t0 and t0
Compute the SSPD between two trajectories
Compute the Hessian between two trajectories
Compute the distance between two segments
Compute the sowd grid
Compute the sowd of two trajectories

Get all kandi verified functions for this library.

traj-dist Key Features

No Key Features are available at this moment for traj-dist.

traj-dist Examples and Code Snippets

No Code Snippets are available at this moment for traj-dist.

Community Discussions

Trending Discussions on traj-dist

Cython compile error "Cannot assign type 'double' to 'int'" using mingw64 in windows but ok in linux

How to build efficiently a distance matrix by reshaping numpy array arrays for scipy.cdist or using sklearn?

QUESTION

Cython compile error "Cannot assign type 'double' to 'int'" using mingw64 in windows but ok in linux

Asked 2020-Nov-20 at 17:37

I have problems installing a python package traj-dist https://github.com/bguillouet/traj-dist which uses Cython. It can be installed in Linux after comipling using gcc, but cannot in winodws using mingw64 gcc.

I use Python 3.8, Cython 0.29.21.

python setup.py build_ext --inplace --force

The full output error message is HERE

...

ANSWER

Answered 2020-Nov-20 at 16:46

What version of Python are you using? Looks like >= 3.6 is required. I don't know exactly which version this change started in, but integer math changed from Python 2.7 to Python 3.6.

For example in Python 2.7:

Source https://stackoverflow.com/questions/64932145

QUESTION

How to build efficiently a distance matrix by reshaping numpy array arrays for scipy.cdist or using sklearn?

Asked 2020-Aug-20 at 22:28

I am trying to build a distance matrix with array of different lenghts. The distance metric is hausdorff distance which is suitable for this kind of operations. Nonetheless I cant find a way to build a distance matrix using the scipy.cdist function.

I looked here for scipy cdist docs and here for hausdorff distance pip install traj-dist and here similar question.

Now I can get the distance between two arrays with either scipy or traj_dist libraries.

...

ANSWER

Answered 2020-Aug-20 at 22:28

From what I see the problem is that that directed Hausdorff distance is computed between two arrays with dimensions of (N,D) and (M,D) and it is not defined for the one-dimensional arrays (i.e. vectors). cdist takes only 2D arrays as inputs which means that each row of these tensors is treated as a separate observation. To solve this problem using SciPy's cdist you would need to be able to pass 3D tensors to cdist which it doesn't allow by design (it checks number of tensor's dimensions).

One possible workaround (which is not easy) is to take the source code of the directed Hausdorff distance written in Cython (https://github.com/scipy/scipy/blob/v1.5.2/scipy/spatial/_hausdorff.pyx) and try to vectorize it.

Source https://stackoverflow.com/questions/63508743

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install traj-dist

This package can be build using distutils.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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