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fh.imagefactory | Freshheads ImageFactory module for Titanium | Computer Vision library

 by   freshheads Java Version: Current License: MIT

 by   freshheads Java Version: Current License: MIT

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kandi X-RAY | fh.imagefactory Summary

fh.imagefactory is a Java library typically used in Artificial Intelligence, Computer Vision applications. fh.imagefactory has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However fh.imagefactory build file is not available. You can download it from GitHub.
Freshheads ImageFactory module for Titanium which currently provides access to Androids ExifInterface for image files. Also provides a memory conservative utility method to rotate an image based on Exif information and resize it, maintaining aspect ratio, in one pass.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • fh.imagefactory has a low active ecosystem.
  • It has 42 star(s) with 17 fork(s). There are 14 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 3 have been closed. On average issues are closed in 215 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of fh.imagefactory is current.
fh.imagefactory Support
Best in #Computer Vision
Average in #Computer Vision
fh.imagefactory Support
Best in #Computer Vision
Average in #Computer Vision

quality kandi Quality

  • fh.imagefactory has 0 bugs and 0 code smells.
fh.imagefactory Quality
Best in #Computer Vision
Average in #Computer Vision
fh.imagefactory Quality
Best in #Computer Vision
Average in #Computer Vision

securitySecurity

  • fh.imagefactory has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • fh.imagefactory code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
fh.imagefactory Security
Best in #Computer Vision
Average in #Computer Vision
fh.imagefactory Security
Best in #Computer Vision
Average in #Computer Vision

license License

  • fh.imagefactory is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
fh.imagefactory License
Best in #Computer Vision
Average in #Computer Vision
fh.imagefactory License
Best in #Computer Vision
Average in #Computer Vision

buildReuse

  • fh.imagefactory releases are not available. You will need to build from source code and install.
  • fh.imagefactory 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.
  • fh.imagefactory saves you 66 person hours of effort in developing the same functionality from scratch.
  • It has 172 lines of code, 7 functions and 8 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
fh.imagefactory Reuse
Best in #Computer Vision
Average in #Computer Vision
fh.imagefactory Reuse
Best in #Computer Vision
Average in #Computer Vision
Top functions reviewed by kandi - BETA

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

  • Rotate image .
    • Get Exif tag from a file .
      • Convert path to FileInputStream
        • On app .

          Get all kandi verified functions for this library.

          Get all kandi verified functions for this library.

          fh.imagefactory Key Features

          Freshheads ImageFactory module for Titanium, which currently provides access to Androids ExifInterface for image files. Also provides a memory conservative utility method to rotate an image based on Exif information and resize it, maintaining aspect ratio, in one pass.

          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 fh.imagefactory

          You can download it from GitHub.
          You can use fh.imagefactory 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 fh.imagefactory 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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