Using jpylyzer from the command line

Calling jpylyzer in a command window without any arguments results in the following helper message:

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

Positional arguments

Optional arguments

Output

Output is directed to the standard output device (stdout).

Examples

Validate JP2 image:

jpylyzer rubbish.jp2 > rubbish-jp2.xml`

Validate JPEG 2000 Part 1 codestream:

jpylyzer --format j2c rubbish.j2c > rubbish-j2c.xml`

Validate JPH (High Throughput) image:

jpylyzer --format jph rubbish.jph > rubbish-jph.xml`

Validate JPEG 2000 Part 15 (High Throughput) codestream:

jpylyzer --format jhc rubbish.jhc > rubbish-jhc.xml`

In the above examples, output is redirected to the output files ‘rubbish-???.xml’. By default jpylyzer’s XML is pretty-printed, so you should be able to view the file using your favourite text editor. Alternatively use a dedicated XML editor, or open the file in your web browser.

Output format

The output file contains the following top-level elements:

1. One toolInfo element, which contains information about jpylyzer (its name and version number)

2. One or more file elements, each of which contain information about about the analysed files

In turn, each file element contains the following sub-elements:

1. fileInfo: general information about the analysed file

2. statusInfo: information about the status of jpylyzer’s validation attempt

3. isValid: outcome of the validation

4. tests: outcome of the individual tests that are part of the validation process (organised by box)

5. properties: image properties (organised by box)

6. propertiesExtension: wrapper element for NISO MIX output (only if the --mix option is used)

7. warnings: reported warnings

Using jpylyzer as a Python module

Instead of using jpylyzer from the command-line, you can also import it as a module in your own Python programs. To do so, install jpylyzer with pip. Then import jpylyzer into your code by adding:

from jpylyzer import jpylyzer

Subsequently you can call any function that is defined in jpylyzer.py. In practice you will most likely only need the checkOneFile function. The following minimal script shows how this works:

#! /usr/bin/env python3

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)

# Return image height value
imageHeight = myResult.findtext('./properties/jp2HeaderBox/imageHeaderBox/height')
print(imageHeight)

Here, myResult is an Element object that can either be used directly, or converted to XML using the ElementTree module[^3].

For validation a raw JPEG 2000 codestreams, call the checkOneFile function with the additional validationFormat argument, and set it to j2c:

# Define Codestream
myFile = "/home/johan/jpylyzer-test-files/rubbish.j2c"

# Analyse with jpylyzer, result to Element object
myResult = jpylyzer.checkOneFile(myFile, 'j2c')

User Manual

For more detailed information on the use of jpylyzer, there’s an exhaustive User Manual. It provides an in-depth coverage of the following topics:

• the installation process;
• usage of jpylyzer as a command-line tool, or as an importable Python module;
• an overview of the box structure of a JP2 file;
• jpylyzer’s output format;
• a description of every test that jpylyzer performs for validation;
• a description of every reported property.