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Ultra-Light-Fast-Generic-Face-Detector-1MB | 1MB lightweight face detection model | Computer Vision library

 by   Linzaer Python Version: Current License: MIT

 by   Linzaer Python Version: Current License: MIT

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kandi X-RAY | Ultra-Light-Fast-Generic-Face-Detector-1MB Summary

Ultra-Light-Fast-Generic-Face-Detector-1MB is a Python library typically used in Artificial Intelligence, Computer Vision applications. Ultra-Light-Fast-Generic-Face-Detector-1MB has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • Ultra-Light-Fast-Generic-Face-Detector-1MB has a medium active ecosystem.
  • It has 6033 star(s) with 1390 fork(s). There are 191 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 103 open issues and 137 have been closed. On average issues are closed in 8 days. There are 2 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Ultra-Light-Fast-Generic-Face-Detector-1MB 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

  • Ultra-Light-Fast-Generic-Face-Detector-1MB 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

  • Ultra-Light-Fast-Generic-Face-Detector-1MB has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • Ultra-Light-Fast-Generic-Face-Detector-1MB 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

  • Ultra-Light-Fast-Generic-Face-Detector-1MB is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
This Library - License
Best in #Computer Vision
Average in #Computer Vision
This Library - License
Best in #Computer Vision
Average in #Computer Vision

buildReuse

  • Ultra-Light-Fast-Generic-Face-Detector-1MB releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • Ultra-Light-Fast-Generic-Face-Detector-1MB saves you 1999 person hours of effort in developing the same functionality from scratch.
  • It has 6808 lines of code, 414 functions and 79 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
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 Ultra-Light-Fast-Generic-Face-Detector-1MB and discovered the below as its top functions. This is intended to give you an instant insight into Ultra-Light-Fast-Generic-Face-Detector-1MB implemented functionality, and help decide if they suit your requirements.

  • Generate a method name .
  • Convert an image set to images .
  • Parse label labels .
  • Convert graph to caffe .
  • Merges the given graph into a single node .
  • Convert a graph to a graph .
  • Calculate ROU curve .
  • Create a Pascal style annotation .
  • Create SlimNet .
  • Create rfb network .

Ultra-Light-Fast-Generic-Face-Detector-1MB Key Features

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

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 Ultra-Light-Fast-Generic-Face-Detector-1MB

You can download it from GitHub.
You can use Ultra-Light-Fast-Generic-Face-Detector-1MB 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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