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Steering-Wheel-Interface | Android application | Computer Vision library

 by   theksmith Java Version: Current License: Non-SPDX

 by   theksmith Java Version: Current License: Non-SPDX

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kandi X-RAY | Steering-Wheel-Interface Summary

Steering-Wheel-Interface is a Java library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. Steering-Wheel-Interface has no bugs, it has no vulnerabilities and it has low support. However Steering-Wheel-Interface build file is not available and it has a Non-SPDX License. You can download it from GitHub.
Android application for interfacing with the steering wheel radio control buttons in certain Jeep/Chrysler/Dodge vehicles.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • Steering-Wheel-Interface has a low active ecosystem.
  • It has 92 star(s) with 32 fork(s). There are 23 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 0 have been closed. On average issues are closed in 318 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Steering-Wheel-Interface is current.
This Library - Support
Best in #Computer Vision
Average in #Computer Vision
This Library - Support
Best in #Computer Vision
Average in #Computer Vision

quality kandi Quality

  • Steering-Wheel-Interface has 0 bugs and 0 code smells.
This Library - Quality
Best in #Computer Vision
Average in #Computer Vision
This Library - Quality
Best in #Computer Vision
Average in #Computer Vision

securitySecurity

  • Steering-Wheel-Interface has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • Steering-Wheel-Interface code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
This Library - Security
Best in #Computer Vision
Average in #Computer Vision
This Library - Security
Best in #Computer Vision
Average in #Computer Vision

license License

  • Steering-Wheel-Interface has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
This Library - License
Best in #Computer Vision
Average in #Computer Vision
This Library - License
Best in #Computer Vision
Average in #Computer Vision

buildReuse

  • Steering-Wheel-Interface releases are not available. You will need to build from source code and install.
  • Steering-Wheel-Interface has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions are available. Examples and code snippets are not available.
This Library - Reuse
Best in #Computer Vision
Average in #Computer Vision
This Library - Reuse
Best in #Computer Vision
Average in #Computer Vision
Top functions reviewed by kandi - BETA

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

  • Converts the Baudrate into a long array .
    • Connect to the USB device .
      • Dump the contents of a byte array into a hex string .
        • Action button action
          • Initialize the steering wheel interface .
            • Writes bytes to the underlying stream .
              • Process incoming data .
                • Initialize the CarInterface if needed
                  • Sets the write buffer size .
                    • Binds the given string preference s value to the value of the string preference s value .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      Steering-Wheel-Interface Key Features

                      This project exists primarily as an example of how to interface an Android device with a vehicle bus using an inexpensive ELM327 based OBDII scantool. This is NOT an OBDII or "code reader" type application! A scantool is used only to provide the interface to other vehicle buses that happen to also use OBDII standard protocols (SAE J1850 PWM, SAE J1850 VPW, ISO 9141-2, ISO 14230-4 KWP, ISO 15765-4 CAN, SAE J1939 CAN). The application is not likely useful to many people exactly as-is, but is designed to be extended to work with your specific vehicle/scenario. Note that only USB scantools are currently supported, though adding BlueTooth should be relatively simple.

                      Steering-Wheel-Interface Examples and Code Snippets

                      No Code Snippets are available at this moment for Steering-Wheel-Interface.

                      See all Code Snippets related to Computer Vision

                      Community Discussions

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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 Steering-Wheel-Interface

                      DISCLAIMER: EVERYTHING INCLUDED IN THIS REPOSITORY IS FOR INFORMATION PURPOSES ONLY. I AM NOT RESPONSIBLE FOR ANY DAMAGE TO YOU, YOUR VEHICLE, AND/OR DEVICES. DO NOT ATTEMPT ANY OF THE FOLLOWING UNLESS YOU KNOW WHAT YOU ARE DOING.

                      Support

                      Pull requests are welcome! Please contact me if you'd like to do a major re-work or extension of the project.

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