tracking-diagnostics | A collection of tools for assessing the performance of pose

by paninski-lab Jupyter Notebook Version: Current License: GPL-3.0

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

kandi X-RAY | tracking-diagnostics Summary

tracking-diagnostics is a Jupyter Notebook library. tracking-diagnostics has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

This repo contains a collection of tools for assessing the performance of pose estimation algorithms, in both single-view and multi-view setups.

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Quality

Security

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Support

tracking-diagnostics has a low active ecosystem.

It has 7 star(s) with 1 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

tracking-diagnostics has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tracking-diagnostics is current.

Quality

tracking-diagnostics has no bugs reported.

Security

tracking-diagnostics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tracking-diagnostics is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

tracking-diagnostics releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Compute a metric .
Generate a list of model - specific versions .
Unimodal MSE .
Get model parameters from a given configuration .
Update the loss configuration of a given loss type .
Get the best version from a list of Tensors .
Compute the Pca projection error .
Compute the projection error for each partition .
Compute a temporal norm of the given keypoints .
Create a tf . dataset . Dataset .

Get all kandi verified functions for this library.

tracking-diagnostics Key Features

No Key Features are available at this moment for tracking-diagnostics.

tracking-diagnostics Examples and Code Snippets

No Code Snippets are available at this moment for tracking-diagnostics.

Community Discussions

No Community Discussions are available at this moment for tracking-diagnostics.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install tracking-diagnostics

First you'll have to install the git package in order to access the code on github. Follow the directions here for your specific OS. Then, in the command line, navigate to where you'd like to install the package and move into that directory:.

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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