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PIP-Module-Scanner | Python project for all installed third party pip | Computer Vision library

 by   Paradoxis Python Version: Current License: MIT

 by   Paradoxis Python Version: Current License: MIT

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kandi X-RAY | PIP-Module-Scanner Summary

PIP-Module-Scanner is a Python library typically used in Artificial Intelligence, Computer Vision applications. PIP-Module-Scanner has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install PIP-Module-Scanner' or download it from GitHub, PyPI.
Scans your Python project for all installed third party pip libraries that are used and generates a requirements.txt based output.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • PIP-Module-Scanner has a low active ecosystem.
  • It has 17 star(s) with 3 fork(s). There are 5 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 0 open issues and 2 have been closed. On average issues are closed in 124 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of PIP-Module-Scanner is current.
PIP-Module-Scanner Support
Best in #Computer Vision
Average in #Computer Vision
PIP-Module-Scanner Support
Best in #Computer Vision
Average in #Computer Vision

quality kandi Quality

  • PIP-Module-Scanner has 0 bugs and 0 code smells.
PIP-Module-Scanner Quality
Best in #Computer Vision
Average in #Computer Vision
PIP-Module-Scanner Quality
Best in #Computer Vision
Average in #Computer Vision

securitySecurity

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

license License

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

buildReuse

  • PIP-Module-Scanner releases are not available. You will need to build from source code and install.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
  • It has 189 lines of code, 15 functions and 9 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
PIP-Module-Scanner Reuse
Best in #Computer Vision
Average in #Computer Vision
PIP-Module-Scanner Reuse
Best in #Computer Vision
Average in #Computer Vision
Top functions reviewed by kandi - BETA

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

  • Parse command line arguments .
  • Start scanning scripts .
  • Search the script for the given script .
  • Initialize dependencies .
  • Search all python scripts in a directory .
  • Print a status message

PIP-Module-Scanner Key Features

Scans your Python project for all installed third party pip libraries that are used and generates a requirements.txt file based on it

Installation

copy iconCopydownload iconDownload
$ pip install pip-module-scanner

Usage

copy iconCopydownload iconDownload
$ cd ~/projects/my-awesome-project/
$ pip-module-scanner
foo==1.0.0
bar==2.1.0
baz==0.0.1

Specifying a custom path

copy iconCopydownload iconDownload
$ pip-module-scanner --path ~/projects/my-awesome-project/
foo==1.0.0 
bar==2.1.0
baz==0.0.1

Writing the output to a file

copy iconCopydownload iconDownload
$ cd ~/projects/my-awesome-project/
$ pip-module-scanner -o requirements.txt
$ cat requirements.txt
foo==1.0.0
bar==2.1.0
baz==0.0.1

Integrating the code in your project

copy iconCopydownload iconDownload
from pip_module_scanner.scanner import Scanner

scanner = Scanner()
scanner.run()

# do whatever you want with the results here
# example:
for lib in scanner.libraries_found:
    print ("Found module %s at version %s" % (lib.key, lib.version))

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 PIP-Module-Scanner

Installing the scanner is easy, either clone the repository and run the script or install it via pip like so:.

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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