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Nicobar | dynamic scripting framework for java | Build Tool library

 by   Netflix Java Version: Current License: Apache-2.0

 by   Netflix Java Version: Current License: Apache-2.0

kandi X-RAY | Nicobar Summary

Nicobar is a Java library typically used in Utilities, Build Tool applications. Nicobar has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.
Nicobar is a dynamic scripting framework for java, driven by a powerful module loading system based on JBoss Modules. Scripts can be source, written in JVM compatible languages (like Groovy), or can be compiled bytecode, in the form of .class files. Scripts can be fetched from persistence dynamically, (compiled and) converted into modules, and inserted in the correct place in a runtime module graph based upon module metadata.
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Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • Nicobar has a low active ecosystem.
  • It has 168 star(s) with 39 fork(s). There are 398 watchers for this library.
  • It had no major release in the last 6 months.
  • There are 5 open issues and 12 have been closed. On average issues are closed in 515 days. There are 1 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Nicobar is current.
Nicobar Support
Best in #Build Tool
Average in #Build Tool
Nicobar Support
Best in #Build Tool
Average in #Build Tool

quality kandi Quality

  • Nicobar has 0 bugs and 0 code smells.
Nicobar Quality
Best in #Build Tool
Average in #Build Tool
Nicobar Quality
Best in #Build Tool
Average in #Build Tool

securitySecurity

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

license License

  • Nicobar is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
Nicobar License
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Nicobar License
Best in #Build Tool
Average in #Build Tool

buildReuse

  • Nicobar releases are not available. You will need to build from source code and install.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
Nicobar Reuse
Best in #Build Tool
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Nicobar Reuse
Best in #Build Tool
Average in #Build Tool
Top functions reviewed by kandi - BETA

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

  • Adds a language plugin to this module
    • Adds a module spec to the internal repository
    • Populates a ModuleCompilerModuleSpec from the plugin spec
    • Returns a snapshot of the moduleIds with the highest revision
  • Insert a jar into the script archive
    • Calculates the hash for the given content
  • Gets all the scripts for the given set of modules
    • Get the module spec
  • Gets all rows
    • Generate CQL to select columns
  • Read an entity from the stream
    • Insert a JAR archive in a jar file
      • Converts a ScriptModule to a compiled ScriptArchive
        • Write the given object to the entity stream
          • Returns the script archives for the given modules
            • Query the summaries of all repositories
              • Get the script archives for the given modules
                • Returns the groovy2 compiler spec
                  • Compiles the given script archive
                    • Sets the columns
                      • Inserts the given jar into the root directory
                        • Compile the given source
                          • Inserts a module archive in the given jar archive
                            • Injector
                              • Gets all of the paths from a jar file
                                • Load classes from the archive

                                  Get all kandi verified functions for this library.

                                  Get all kandi verified functions for this library.

                                  Nicobar Key Features

                                  Nicobar Examples and Code Snippets

                                  Community Discussions

                                  Trending Discussions on Nicobar
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                                  • How to print only a portion of JSON object's data?
                                  • How to create multiple pivot_longer() columns in r?
                                  • How to extract dictionary from JSON data from API? I tried some solutions from Stackoverflow
                                  • Format the extracted covid vaccine data from website
                                  • How to merge/ add columns to dataframes in pandas when the joining column has slight spelling differences?
                                  • How to get data from an api in r?
                                  Trending Discussions on Nicobar

                                  QUESTION

                                  Opencv facing an error for tesseract moule not found even after installations

                                  Asked 2022-Feb-01 at 14:04

                                  Opencv facing an error for tesseract moule not found even after installations

                                  pip install tesseract

                                  opencv reinstallation also done but it wont work.

                                  opencv installation commands are

                                  pip install opencv-python

                                  pip intstall opencv-contrib-python

                                  tesseract.exe installtion using this github guidance -link

                                  Still iam facing this below error

                                  error - tesseract module not found

                                  from PIL.Image import ImageTransformHandler
                                  import cv2
                                  import numpy as np
                                  import pytesseract
                                  
                                  pytesseract.pytesseract.tesseract_cmd='C:\Program Files(x86)\Tesseract-OCR\tesseract.exe'
                                  
                                  cascade= cv2.CascadeClassifier("haarcascade_russian_plate_number.xml")
                                  states={"AN":"Andaman and Nicobar",
                                      "AP":"Andhra Pradesh","AR":"Arunachal Pradesh",
                                      "AS":"Assam","BR":"Bihar","CH":"Chandigarh",
                                      "DN":"Dadra and Nagar Haveli","DD":"Daman and Diu",
                                      "DL":"Delhi","GA":"Goa","GJ":"Gujarat",
                                      "HR":"Haryana","HP":"Himachal Pradesh",
                                      "JK":"Jammu and Kashmir","KA":"Karnataka","KL":"Kerala",
                                      "LD":"Lakshadweep","MP":"Madhya Pradesh","MH":"Maharashtra","MN":"Manipur",
                                      "ML":"Meghalaya","MZ":"Mizoram","NL":"Nagaland","OD":"Odissa",
                                      "PY":"Pondicherry","PN":"Punjab","RJ":"Rajasthan","SK":"Sikkim","TN":"TamilNadu",
                                      "TR":"Tripura","UP":"Uttar Pradesh", "WB":"West Bengal","CG":"Chhattisgarh",
                                      "TS":"Telangana","JH":"Jharkhand","UK":"Uttarakhand"}
                                  
                                  def extract_num(img_filename):
                                      img=cv2.imread(img_filename)
                                      #Img To Gray
                                      gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
                                      nplate=cascade.detectMultiScale(gray,1.1,4)
                                      #crop portion
                                      for (x,y,w,h) in nplate:
                                          wT,hT,cT=img.shape
                                          a,b=(int(0.02*wT),int(0.02*hT))
                                          plate=img[y+a:y+h-a,x+b:x+w-b,:]
                                          #make the img more darker to identify LPR
                                          kernel=np.ones((1,1),np.uint8)
                                          plate=cv2.dilate(plate,kernel,iterations=1)
                                          plate=cv2.erode(plate,kernel,iterations=1)
                                          plate_gray=cv2.cvtColor(plate,cv2.COLOR_BGR2GRAY)
                                          (thresh,plate)=cv2.threshold(plate_gray,127,255,cv2.THRESH_BINARY)
                                          #read the text on the plate
                                          read=pytesseract.image_to_string(plate)
                                          read=''.join(e for e in read if e.isalnum())
                                          stat=read[0:2]
                                          cv2.rectangle(img,(x,y),(x+w,y+h),(51,51,255),2)
                                          cv2.rectangle(img,(x-1,y-40),(x+w+1,y),(51,51,255),-1)
                                          cv2.putText(img,read,(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,0.9,(255,255,255),2)
                                  
                                          cv2.imshow("plate",plate)
                                          
                                      cv2.imwrite("Result.png",img)
                                      cv2.imshow("Result",img)
                                      cv2.waitKey(0)
                                      cv2.destroyAllWindows()
                                  
                                  extract_num('car_img.png')
                                  
                                  
                                  

                                  ANSWER

                                  Answered 2022-Feb-01 at 14:04

                                  After fixing this error working fine changing file path (C:\Program Files(x86)\Tesseract-OCR\tesseract.exe) to ->(C:\Program Files\Tesseract-OCR\tesseract.exe)

                                  Whatever your path in windows programfiles, do not use a Program Files(x86) it wont work

                                  Still showing or not installing error you are facing then press windows + R keys and run your file path (C:\Program Files\Tesseract-OCR\tesseract.exe) it wil work for me,

                                  This mentioned error had fixed - tesseract module not found

                                  Hope it will help some one.

                                  from PIL.Image import ImageTransformHandler
                                  import cv2
                                  import numpy as np
                                  import pytesseract
                                  
                                  pytesseract.pytesseract.tesseract_cmd=r'C:\Program Files(x86)\Tesseract-OCR\tesseract.exe'
                                  
                                  cascade= cv2.CascadeClassifier("haarcascade_russian_plate_number.xml")
                                  states={"AN":"Andaman and Nicobar",
                                      "AP":"Andhra Pradesh","AR":"Arunachal Pradesh",
                                      "AS":"Assam","BR":"Bihar","CH":"Chandigarh",
                                      "DN":"Dadra and Nagar Haveli","DD":"Daman and Diu",
                                      "DL":"Delhi","GA":"Goa","GJ":"Gujarat",
                                      "HR":"Haryana","HP":"Himachal Pradesh",
                                      "JK":"Jammu and Kashmir","KA":"Karnataka","KL":"Kerala",
                                      "LD":"Lakshadweep","MP":"Madhya Pradesh","MH":"Maharashtra","MN":"Manipur",
                                      "ML":"Meghalaya","MZ":"Mizoram","NL":"Nagaland","OD":"Odissa",
                                      "PY":"Pondicherry","PN":"Punjab","RJ":"Rajasthan","SK":"Sikkim","TN":"TamilNadu",
                                      "TR":"Tripura","UP":"Uttar Pradesh", "WB":"West Bengal","CG":"Chhattisgarh",
                                      "TS":"Telangana","JH":"Jharkhand","UK":"Uttarakhand"}
                                  
                                  def extract_num(img_filename):
                                      img=cv2.imread(img_filename)
                                      #Img To Gray
                                      gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
                                      nplate=cascade.detectMultiScale(gray,1.1,4)
                                      #crop portion
                                      for (x,y,w,h) in nplate:
                                          wT,hT,cT=img.shape
                                          a,b=(int(0.02*wT),int(0.02*hT))
                                          plate=img[y+a:y+h-a,x+b:x+w-b,:]
                                          #make the img more darker to identify LPR
                                          kernel=np.ones((1,1),np.uint8)
                                          plate=cv2.dilate(plate,kernel,iterations=1)
                                          plate=cv2.erode(plate,kernel,iterations=1)
                                          plate_gray=cv2.cvtColor(plate,cv2.COLOR_BGR2GRAY)
                                          (thresh,plate)=cv2.threshold(plate_gray,127,255,cv2.THRESH_BINARY)
                                          #read the text on the plate
                                          read=pytesseract.image_to_string(plate)
                                          read=''.join(e for e in read if e.isalnum())
                                          stat=read[0:2]
                                          cv2.rectangle(img,(x,y),(x+w,y+h),(51,51,255),2)
                                          cv2.rectangle(img,(x-1,y-40),(x+w+1,y),(51,51,255),-1)
                                          cv2.putText(img,read,(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,0.9,(255,255,255),2)
                                  
                                          cv2.imshow("plate",plate)
                                          
                                      cv2.imwrite("Result.png",img)
                                      cv2.imshow("Result",img)
                                      cv2.waitKey(0)
                                      cv2.destroyAllWindows()
                                  
                                  extract_num('car_img.png')
                                  
                                  
                                  

                                  Source https://stackoverflow.com/questions/70941904

                                  Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                                  Vulnerabilities

                                  No vulnerabilities reported

                                  Install Nicobar

                                  Binaries and dependency information for Maven, Ivy, Gradle and others can be found at http://search.maven.org. You need Java 6 or later.

                                  Support

                                  See the Wiki for full documentation, examples, operational details and other information. See the Javadoc for the API.

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                                  • https://github.com/Netflix/Nicobar.git

                                  • gh repo clone Netflix/Nicobar

                                  • git@github.com:Netflix/Nicobar.git

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