FireNET | deep learning model for detecting fire | Computer Vision library

by OlafenwaMoses Python Version: v1.0 License: MIT

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

kandi X-RAY | FireNET Summary

FireNET is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, Tensorflow applications. FireNET has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However FireNET build file is not available. You can download it from GitHub.

FireNet is an artificial intelligence project for real-time fire detection. This is the first release of the FireNet. It contains an annotated dataset of 502 images splitted into 412 images for training and 90 images for validation. >>> DOWNLOAD, TRAINING AND DETECTION: The FireNet dataset is provided for download in the release section of this repository. You can download the dataset via the link below.

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Quality

Security

License

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FireNET has a low active ecosystem.

It has 250 star(s) with 95 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FireNET is v1.0

Quality

FireNET has 0 bugs and 0 code smells.

Security

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

FireNET code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FireNET is licensed under the MIT License. This license is Permissive.

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

Reuse

FireNET releases are available to install and integrate.

FireNET 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.

Top functions reviewed by kandi - BETA

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

Detect objects from image .
Train the detection model
Detect objects from a video .

Get all kandi verified functions for this library.

FireNET Key Features

No Key Features are available at this moment for FireNET.

FireNET Examples and Code Snippets

No Code Snippets are available at this moment for FireNET.

Community Discussions

Trending Discussions on FireNET

Exception in thread "main" java.lang.UnsatisfiedLinkError: 'void org.lwjgl.opengl.WindowsDisplay.setWindowProc(java.lang.reflect.Method)'

QUESTION

Exception in thread "main" java.lang.UnsatisfiedLinkError: 'void org.lwjgl.opengl.WindowsDisplay.setWindowProc(java.lang.reflect.Method)'

Asked 2020-Oct-03 at 15:15

HelIo i am trying to make a game engine and right now to create a window with it but there is an error

I included the librarys slack-util and lwjgl before you ask me

The error:

...

ANSWER

Answered 2020-Oct-03 at 15:15

Your problem seems to be that you have not added the "native" folder to your build path. I have created a project based on the code that you mentioned in the question. After adding the 'natives' correctly I ran your code, and it shows me a blank black window which closes after some time. Try the following:

In your project (I am using Eclipse) go to JRE System Library > Build Path > Configure Build Path (by right clicking on JRE System Library)

Next Select Java Build Path > Libraries (tab) > Native Library Location. Now press 'Edit'

The next step is OS specific. In your download of lwjgl there is a directory 'native'. Select the folder based on the OS you are using. For example if you are using Windows then select lwjgl-2.x.x > native > windows. Now I am on a macOS so I will be using the one for mac.

After this run your application and hopefully you will see a blank window like I see when I run it on my machine.

Source https://stackoverflow.com/questions/64183108

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

Vulnerabilities

No vulnerabilities reported

Install FireNET

You can download it from GitHub.
You can use FireNET 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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