jpylyzer | JPEG 2000 Part 1 ) validator and properties

by openpreserve Python Version: 2.2.1 License: Non-SPDX

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | jpylyzer Summary

jpylyzer is a Python library. jpylyzer has no bugs, it has no vulnerabilities, it has build file available and it has low support. However jpylyzer has a Non-SPDX License. You can install using 'pip install jpylyzer' or download it from GitHub, PyPI.

Jpylyzer is a JP2 (JPEG 2000 Part 1) image validator and properties extractor. Its development was partially supported by the SCAPE Project. The SCAPE project is co-funded by the European Union under FP7 ICT-2009.4.1 (Grant Agreement number 270137).

Support

Quality

Security

License

Reuse

Support

jpylyzer has a low active ecosystem.

It has 60 star(s) with 26 fork(s). There are 29 watchers for this library.

There were 3 major release(s) in the last 6 months.

There are 9 open issues and 118 have been closed. On average issues are closed in 520 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of jpylyzer is 2.2.1

Quality

jpylyzer has 0 bugs and 0 code smells.

Security

jpylyzer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

jpylyzer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jpylyzer 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.

Reuse

jpylyzer releases are available to install and integrate.

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.

Top functions reviewed by kandi - BETA

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

Validates the codestream box
Get the marker segment of a marker segment
Unpack the given bytestr
Convert bytes to UShortint
Validate JP2 box
Convert a byte string to an unsigned integer
Get box contents
Calculate the compression ratio
Validate the display resolution box
Validate the palette box
Validate the capture resolution box
Validates the COM marker segment
Validate the UUID box
Validate COD
Validate tile part
Validate COC
Validate image size
Validate QCC field
Validate the colour specification box
Validate J2 header box
Validate ICC data
Validate QCD value
Validates the image header box
Parse command line arguments
Check files in path
Validate PCOC

Get all kandi verified functions for this library.

jpylyzer Key Features

No Key Features are available at this moment for jpylyzer.

jpylyzer Examples and Code Snippets

jpylyzer,Using jpylyzer as a Python module

Python

Lines of Code : 19

License : Non-SPDX (NOASSERTION)

Copy

from jpylyzer import jpylyzer

#! /usr/bin/env python

from jpylyzer import jpylyzer

# Define JP2
myFile = "/home/johan/jpylyzer-test-files/aware.jp2"

# Analyse with jpylyzer, result to Element object
myResult = jpylyzer.checkOneFile(myFile)

# Ret

jpylyzer,Using jpylyzer from the command line

Python

Lines of Code : 3

License : Non-SPDX (NOASSERTION)

Copy

usage: jpylyzer [-h] [--format FMT] [--legacyout] [--mix {1,2}] [--nopretty]
          [--nullxml] [--recurse] [--verbose] [--version] [--wrapper]
          jp2In [jp2In ...]

Community Discussions

Trending Discussions on jpylyzer

cartesian product in python multiprocessing with tqdm progress bar

QUESTION

cartesian product in python multiprocessing with tqdm progress bar

Asked 2020-Nov-26 at 12:54

I found some code to create a progess bar with tqdm and Python multiprocessing, which uses an integer to update the progress bar. I changed it to use it a file loop, but the lambda callback creates a cartesian product with file paths, which let my machine run out of memory with a great number of files. I tried to find the solution in other questions, but didn't find the answer. What can I do to avoid the cartesian product in the async_result (and the out of memory), but still create the progress bar?

...

ANSWER

Answered 2020-Nov-26 at 12:54

I found the answer by removing the [] from the async_result, removing the callback=lambda and declaring a global variable pbar for the progress bar, before initiating it dynamically

Source https://stackoverflow.com/questions/65008377

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

Vulnerabilities

No vulnerabilities reported

Install jpylyzer

The Vagrant directory of this repo contains instructions on how to build Debian packages using VirtualBox and Vagrant. A Vagrantfile and provisioning scripts are included for a number of target platforms, which should make the process of building the packages fairly easy.

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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