affinewarp | piecewise linear time warping for multi-dimensional time | Time Series Database library

by ahwillia Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | affinewarp Summary

affinewarp is a Python library typically used in Database, Time Series Database applications. affinewarp has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

An implementation of piecewise linear time warping for multi-dimensional time series alignment

Support

Quality

Security

License

Reuse

Support

affinewarp has a low active ecosystem.

It has 86 star(s) with 25 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of affinewarp is current.

Quality

affinewarp has 0 bugs and 0 code smells.

Security

affinewarp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

affinewarp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

affinewarp does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

affinewarp releases are not available. You will need to build from source code and install.

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

Installation instructions, examples and code snippets are available.

It has 1877 lines of code, 132 functions and 21 files.

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

Top functions reviewed by kandi - BETA

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

Performs a parameter search on the model
Sample from rng
Calculate crossval loss
Partition a cross validation dataset
Fit a model to the holdout cell
Get indexing
Filter the given array
Return a new object with only the selected neurons
Reorder neurons
Predict for jit - compile
Crop spiketimes to the given tmin and tmax
Generate a multi - layer basis basis
Calculate the Tarp template
Copies the model from the given model
Removes spikes from the experiment
Returns the indicesort of the shifted shifts
Remove spikes from the neuron
Creates a piece - wise ground - truth model
Perform a linear fit on the data
Copies the fit from the given model
Compute the SNR of a spike data
Returns a Dataset with spike data
Computes the explained variance of a spike
Return the indices of the arguments at t
Calculates the transformed event
Transform data

Get all kandi verified functions for this library.

affinewarp Key Features

No Key Features are available at this moment for affinewarp.

affinewarp Examples and Code Snippets

No Code Snippets are available at this moment for affinewarp.

Community Discussions

Trending Discussions on affinewarp

Use camera Parameters from stitching one set of images to use stitch different set of images

QUESTION

Use camera Parameters from stitching one set of images to use stitch different set of images

Asked 2017-Mar-07 at 11:45

I got camera Parameters after running stitching_detailed.cpp. Now I want to use these retrieved parameters to stitch another set of images for which I am using the script given below. My script builds successfully but when I run it, it gives a run time error. Is my matrix initialization wrong? I am unable to figure out the error. Please help.

Is there any other way I can store camera Parameters from one set of images and use it for another set of images?

...

ANSWER

Answered 2017-Mar-07 at 11:45

I figured out the answer. You write YAML file for one set of images and then use those load same set of parameters for another set.

The problem with my code was the way I was initialization different parameters, which is now fixed in below mentioned code.

Source https://stackoverflow.com/questions/42605972

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