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SmartCropper | cropping image in a smart way | Computer Vision library

 by   pqpo Java Version: V2.1.4 License: No License

 by   pqpo Java Version: V2.1.4 License: No License

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kandi X-RAY | SmartCropper Summary

SmartCropper is a Java library typically used in Artificial Intelligence, Computer Vision, Tensorflow applications. SmartCropper has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can download it from GitHub.
你也可以关注我的另一个库 SmartCamera: SmartCamera 是一个 Android 相机拓展库,能够实时采集并且识别相机内物体边框是否吻合指定区域。.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • SmartCropper has a medium active ecosystem.
  • It has 3575 star(s) with 646 fork(s). There are 88 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 13 open issues and 99 have been closed. On average issues are closed in 44 days. There are 1 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of SmartCropper is V2.1.4
SmartCropper Support
Best in #Computer Vision
Average in #Computer Vision
SmartCropper Support
Best in #Computer Vision
Average in #Computer Vision

quality kandi Quality

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

securitySecurity

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

license License

  • SmartCropper does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
SmartCropper License
Best in #Computer Vision
Average in #Computer Vision
SmartCropper License
Best in #Computer Vision
Average in #Computer Vision

buildReuse

  • SmartCropper releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
SmartCropper Reuse
Best in #Computer Vision
Average in #Computer Vision
SmartCropper Reuse
Best in #Computer Vision
Average in #Computer Vision
Top functions reviewed by kandi - BETA

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

  • Create the image view .
  • Calculates image point size .
  • Initializes the paints .
  • Override this method to handle the correct bitmap .
  • Converts the image data to a bitmap
  • Converts a bitmap to a byte buffer
  • Performs a native scan of the specified bitmap .
  • Get the Euclidean distance between two points .
  • Build image detector .

SmartCropper Key Features

[x] 优化点排序算法

[x] CropImageView 选区放大镜效果

[x] CropImageView xml属性配置

[x] 优化智能选区算法

[ ] 欢迎提 ISSUE

优化智能选区算法(V2.1.1+)

copy iconCopydownload iconDownload
aaptOptions {
    noCompress "tflite"
    noCompress "lite"
}

接入

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allprojects {
		repositories {
			...
			maven { url 'https://jitpack.io' }
		}
}

1. 裁剪布局:

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<me.pqpo.smartcropperlib.view.CropImageView   
        android:id="@+id/iv_crop"  
        android:layout_width="match_parent" 
        android:layout_height="match_parent" />  

2. 设置待裁剪图片:

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ivCrop.setImageToCrop(selectedBitmap); 

3. 裁剪选区内的图片:

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Bitmap crop = ivCrop.crop();  

License

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Copyright 2017 pqpo

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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 SmartCropper

You can download it from GitHub.
You can use SmartCropper 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 SmartCropper 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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