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Robot_Tracker | Tracker robot with image processing using thee BeagleBone | Computer Vision library

 by   hamzastar7 C++ Version: Current License: GPL-3.0

 by   hamzastar7 C++ Version: Current License: GPL-3.0

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kandi X-RAY | Robot_Tracker Summary

Robot_Tracker is a C++ library typically used in Artificial Intelligence, Computer Vision applications. Robot_Tracker has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Tracker robot with image processing using thee BeagleBone Black (BBB) and the OpenCV library in Python and C++ programming language. I will put in this repository my last year project in the 2016, any advice or edits are welcome.
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Quality
Security
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kandi-support Support

  • Robot_Tracker has a low active ecosystem.
  • It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.
  • It had no major release in the last 12 months.
  • Robot_Tracker has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Robot_Tracker is current.
Robot_Tracker Support
Best in #Computer Vision
Average in #Computer Vision
Robot_Tracker Support
Best in #Computer Vision
Average in #Computer Vision

quality kandi Quality

  • Robot_Tracker has no bugs reported.
Robot_Tracker Quality
Best in #Computer Vision
Average in #Computer Vision
Robot_Tracker Quality
Best in #Computer Vision
Average in #Computer Vision

securitySecurity

  • Robot_Tracker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Robot_Tracker Security
Best in #Computer Vision
Average in #Computer Vision
Robot_Tracker Security
Best in #Computer Vision
Average in #Computer Vision

license License

  • Robot_Tracker is licensed under the GPL-3.0 License. This license is Strong Copyleft.
  • Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Robot_Tracker License
Best in #Computer Vision
Average in #Computer Vision
Robot_Tracker License
Best in #Computer Vision
Average in #Computer Vision

buildReuse

  • Robot_Tracker releases are not available. You will need to build from source code and install.
Robot_Tracker Reuse
Best in #Computer Vision
Average in #Computer Vision
Robot_Tracker Reuse
Best in #Computer Vision
Average in #Computer Vision
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Robot_Tracker Key Features

Tracker robot with image processing using thee BeagleBone Black (BBB) and the OpenCV library in Python and C++ programming language

Robot_Tracker Examples and Code Snippets

No Code Snippets are available at this moment for Robot_Tracker.

See all Code Snippets related to Computer Vision

Community Discussions

Trending Discussions on Computer Vision
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Trending Discussions on Computer Vision

QUESTION

Image similarity in swift

Asked 2022-Mar-25 at 11:42

The swift vision similarity feature is able to assign a number to the variance between 2 images. Where 0 variance between the images, means the images are the same. As the number increases this that there is more and more variance between the images.

What I am trying to do is turn this into a percentage of similarity. So one image is for example 80% similar to the other image. Any ideas how I could arrange the logic to accomplish this:

import UIKit
import Vision
func featureprintObservationForImage(atURL url: URL) -> VNFeaturePrintObservation? {
let requestHandler = VNImageRequestHandler(url: url, options: [:])
let request = VNGenerateImageFeaturePrintRequest()
do {
  try requestHandler.perform([request])
  return request.results?.first as? VNFeaturePrintObservation
} catch {
  print("Vision error: \(error)")
  return nil
}
  }
 let apple1 = featureprintObservationForImage(atURL: Bundle.main.url(forResource:"apple1", withExtension: "jpg")!)
let apple2 = featureprintObservationForImage(atURL: Bundle.main.url(forResource:"apple2", withExtension: "jpg")!)
let pear = featureprintObservationForImage(atURL: Bundle.main.url(forResource:"pear", withExtension: "jpg")!)
var distance = Float(0)
try apple1!.computeDistance(&distance, to: apple2!)
var distance2 = Float(0)
try apple1!.computeDistance(&distance2, to: pear!)

ANSWER

Answered 2022-Mar-25 at 10:26

It depends on how you want to scale it. If you just want the percentage you could just use Float.greatestFiniteMagnitude as the maximum value.

1-(distance/Float.greatestFiniteMagnitude)*100

A better solution would probably be to set a lower ceiling and everything above that ceiling would just be 0% similarity.

1-(min(distance, 10)/10)*100

Here the artificial ceiling would be 10, but it can be any arbitrary number.

Source https://stackoverflow.com/questions/71615277

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

Vulnerabilities

No vulnerabilities reported

Install Robot_Tracker

You can download it from GitHub.

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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