MTSVRC | MTSVRC2018 Competition Results Submission Mirror

by MTCloudVision Python Version: Current License: No License

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

kandi X-RAY | MTSVRC Summary

MTSVRC is a Python library. MTSVRC has no bugs, it has no vulnerabilities and it has low support. However MTSVRC build file is not available. You can download it from GitHub.

MTSVRC2018 Competition Results Submission Mirror Instructions

Support

Quality

Security

License

Reuse

Support

MTSVRC has a low active ecosystem.

It has 29 star(s) with 8 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MTSVRC is current.

Quality

MTSVRC has 0 bugs and 0 code smells.

Security

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

MTSVRC code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MTSVRC 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

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

MTSVRC has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

MTSVRC saves you 35 person hours of effort in developing the same functionality from scratch.

It has 95 lines of code, 13 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Generate a random number .
Return a list of video frames from file_dir .
Load a model from memory
Return the prediction for the given directory .
Initialize the model .

Get all kandi verified functions for this library.

MTSVRC Key Features

No Key Features are available at this moment for MTSVRC.

MTSVRC Examples and Code Snippets

No Code Snippets are available at this moment for MTSVRC.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MTSVRC

You can download it from GitHub.
You can use MTSVRC like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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