AnomalyDetectionCVPR2018 | also downloaded from the following link | Dataset library

by WaqasSultani Python Version: Current License: No License

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

kandi X-RAY | AnomalyDetectionCVPR2018 Summary

AnomalyDetectionCVPR2018 is a Python library typically used in Artificial Intelligence, Dataset applications. AnomalyDetectionCVPR2018 has no bugs, it has no vulnerabilities and it has low support. However AnomalyDetectionCVPR2018 build file is not available. You can download it from GitHub.

The dataset can be also downloaded from the following link: You can also download dataset in parts through following link.

Support

Quality

Security

License

Reuse

Support

AnomalyDetectionCVPR2018 has a low active ecosystem.

It has 458 star(s) with 173 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 62 open issues and 26 have been closed. On average issues are closed in 29 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of AnomalyDetectionCVPR2018 is current.

Quality

AnomalyDetectionCVPR2018 has 0 bugs and 56 code smells.

Security

AnomalyDetectionCVPR2018 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

AnomalyDetectionCVPR2018 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

AnomalyDetectionCVPR2018 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

AnomalyDetectionCVPR2018 releases are not available. You will need to build from source code and install.

AnomalyDetectionCVPR2018 has no build file. You will be need to create the build yourself to build the component from source.

AnomalyDetectionCVPR2018 saves you 201 person hours of effort in developing the same functionality from scratch.

It has 493 lines of code, 21 functions and 3 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed AnomalyDetectionCVPR2018 and discovered the below as its top functions. This is intended to give you an instant insight into AnomalyDetectionCVPR2018 implemented functionality, and help decide if they suit your requirements.

Browse the model
Solve the scipy_golay
Load the features from a single video
Load weights
Convert a dictionary

Get all kandi verified functions for this library.

AnomalyDetectionCVPR2018 Key Features

No Key Features are available at this moment for AnomalyDetectionCVPR2018.

AnomalyDetectionCVPR2018 Examples and Code Snippets

No Code Snippets are available at this moment for AnomalyDetectionCVPR2018.

Community Discussions

Trending Discussions on AnomalyDetectionCVPR2018

Tensorflow installation error: No module named _pywarp_tensorflow

QUESTION

Tensorflow installation error: No module named _pywarp_tensorflow

Asked 2019-May-24 at 04:16

I installed tensorflow using this link on StackOverflow.
But, when I tried to run my code, I got the error below

This is my system's information

...

ANSWER

Answered 2019-May-24 at 04:16

again, I had the same problems that you have now, I tryed install tensorflow in windows7, windows 8 and 10 inclusive in virtual machinnes, the same problem was for matplotlib. My solution was remove my python version and I installed Anaconda,

Try to install Anaconda3-4.4.0-Windows-x86_64 or Anaconda3-4.4.0-Linux-x86_64.sh for linux, this version was released in 2017-05-26.

Anacoda versions

And then try to install tensorflow, matplotlib, pandas, numpy but before run

Source https://stackoverflow.com/questions/56285626

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

Vulnerabilities

No vulnerabilities reported

Install AnomalyDetectionCVPR2018

You can download it from GitHub.
You can use AnomalyDetectionCVPR2018 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 .

Find more information at: