yolo-custom-object-detector | Making custom object detector using Yolo | Machine Learning library

by tahaemara Java Version: Current License: No License

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

kandi X-RAY | yolo-custom-object-detector Summary

yolo-custom-object-detector is a Java library typically used in Artificial Intelligence, Machine Learning, Deep Learning, OpenCV applications. yolo-custom-object-detector has no bugs, it has no vulnerabilities and it has low support. However yolo-custom-object-detector build file is not available. You can download it from GitHub.

Making custom object detector using Yolo (Java and Python)

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Quality

Security

License

Reuse

Support

yolo-custom-object-detector has a low active ecosystem.

It has 86 star(s) with 63 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 7 have been closed. On average issues are closed in 98 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of yolo-custom-object-detector is current.

Quality

yolo-custom-object-detector has 0 bugs and 0 code smells.

Security

yolo-custom-object-detector has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

yolo-custom-object-detector code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

yolo-custom-object-detector 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

yolo-custom-object-detector releases are not available. You will need to build from source code and install.

yolo-custom-object-detector has no build file. You will be need to create the build yourself to build the component from source.

yolo-custom-object-detector saves you 4802 person hours of effort in developing the same functionality from scratch.

It has 10127 lines of code, 11 functions and 379 files.

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

Top functions reviewed by kandi - BETA

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

The main method
Remove objects intersecting with max
Detects a cubix cube
Draws the boxes in the image
Extracts the list of objects that intersect the predicted objects
Main entry point

Get all kandi verified functions for this library.

yolo-custom-object-detector Key Features

No Key Features are available at this moment for yolo-custom-object-detector.

yolo-custom-object-detector Examples and Code Snippets

No Code Snippets are available at this moment for yolo-custom-object-detector.

Community Discussions

Trending Discussions on yolo-custom-object-detector

TinyYolo Deeplearning4j

QUESTION

TinyYolo Deeplearning4j

Asked 2019-Aug-26 at 10:38

I am using TinyYolo with deeplearning4j having read through this tutorial http://emaraic.com/blog/yolo-custom-object-detector but I am not quite sure whether I need more configuration to handle 720p images as the images in this example are 416x416. Is there a hard requirement of that? I am just struggling to fully understand some configurations as noted :

...

ANSWER

Answered 2019-Aug-26 at 10:38

You need to resize your 720p input into tinyolo expected input , dimension 416x416

Source https://stackoverflow.com/questions/57085583

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

Vulnerabilities

No vulnerabilities reported

Install yolo-custom-object-detector

You can download it from GitHub.
You can use yolo-custom-object-detector like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the yolo-custom-object-detector component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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