EdgeRealtimeVideoAnalytics | using Redis Streams , RedisGears , RedisAI | Dashboard library

by RedisGears Python Version: Current License: Apache-2.0

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

kandi X-RAY | EdgeRealtimeVideoAnalytics Summary

EdgeRealtimeVideoAnalytics is a Python library typically used in Analytics, Dashboard, Grafana applications. EdgeRealtimeVideoAnalytics has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However EdgeRealtimeVideoAnalytics build file is not available. You can download it from GitHub.

This project demonstrates a possible deployment of the RedisEdge stack that provides real-time analytics of video streams. The following diagram depicts the flows between the system's parts.

Support

Quality

Security

License

Reuse

Support

EdgeRealtimeVideoAnalytics has a low active ecosystem.

It has 343 star(s) with 58 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 13 have been closed. On average issues are closed in 4 days. There are 30 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of EdgeRealtimeVideoAnalytics is current.

Quality

EdgeRealtimeVideoAnalytics has 0 bugs and 0 code smells.

Security

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

EdgeRealtimeVideoAnalytics code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

EdgeRealtimeVideoAnalytics is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

EdgeRealtimeVideoAnalytics 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.

It has 489 lines of code, 28 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Run a yolo model
Processes an image
Add a new moving average
Calculate time in milliseconds
Start the timer
Store the results of a camera
Assign value to given name
Return the value for the given name
Compute boxes from tf Tensor
Generate region boxes for each region
Compute the nms of boxes
Return a streaming response
Get the last picture
Generate Jupyter output

Get all kandi verified functions for this library.

EdgeRealtimeVideoAnalytics Key Features

No Key Features are available at this moment for EdgeRealtimeVideoAnalytics.

EdgeRealtimeVideoAnalytics Examples and Code Snippets

No Code Snippets are available at this moment for EdgeRealtimeVideoAnalytics.

Community Discussions

Trending Discussions on EdgeRealtimeVideoAnalytics

RedisAI fails to load a model as a blob. How do I troubleshoot?

QUESTION

RedisAI fails to load a model as a blob. How do I troubleshoot?

Asked 2021-Apr-19 at 18:21

I am working on running this code in Python:

...

ANSWER

Answered 2021-Apr-19 at 18:21

I believe you forgot the BLOB keyword. See here in the docs. So your code should be something like

Source https://stackoverflow.com/questions/67166246

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

Vulnerabilities

No vulnerabilities reported

Install EdgeRealtimeVideoAnalytics

You can download it from GitHub.
You can use EdgeRealtimeVideoAnalytics 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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