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"description": "# Jprofile\n\nJohan van der Knijff, KB/National Library of the Netherlands.\n\n## What is *jprofile*?\n\n*Jprofile* is a simple tool for automated profiling of large batches of *JP2* (JPEG 2000 part 1) images. Internally it wraps around [*jpylyzer*](http://jpylyzer.openpreservation.org/), which is used for validating each image and for extracting its properties. The *jpylyzer* output is then validated against a set of [*Schematron*](http://en.wikipedia.org/wiki/Schematron) schemas that contain the required characteristics for master, access and target images, respectively.\n\n## Batch structure\n\n*Jprofile* was designed for processing digitisation batches that are delivered to the KB by external suppliers. These batches typically contain (losslessly compressed) *master* JP2s, (lossily compressed) *access* JP2s and (sometimes) also *technical target* JP2s. These are located in a folder structure that contains (sub) directories named *master*, *access* and *targets-jp2*, respectively. Below is an example:\n\n\t./testbatch\n\t\u251c\u2500\u2500 access\n\t\u2502 \u251c\u2500\u2500 IMAGE000060.jp2\n\t\u2502 \u251c\u2500\u2500 IMAGE000061.jp2\n\t\u2502 \u251c\u2500\u2500 IMAGE000062.jp2\n\t\u2502 \u251c\u2500\u2500 ::\n\t\u2502 \u251c\u2500\u2500 IMAGE000080.jp2\n\t\u2502 \u2514\u2500\u2500 IMAGE000081.jp2\n\t\u251c\u2500\u2500 master\n\t\u2502 \u251c\u2500\u2500 IMAGE000060.jp2\n\t\u2502 \u251c\u2500\u2500 IMAGE000061.jp2\n\t\u2502 \u251c\u2500\u2500 IMAGE000062.jp2\n\t\u2502 \u251c\u2500\u2500 ::\n\t\u2502 \u251c\u2500\u2500 IMAGE000080.jp2\n\t\u2502 \u2514\u2500\u2500 IMAGE000081.jp2\n\t\u2514\u2500\u2500 targets-jp2\n\n\nAs long as a batch follows this basic structure, *Jprofile* can handle it. Note that:\n\n* *master*, *access* and *targets-jp2* directories may occur at different nesting levels. This is no problem, since *profile* recursively traverses all subdirctories in a batch.\n\n* if either a *master*, *access* or *targets-jp2* directory is missing, *jprofile* will simply ignore it (i.e. it's perfectly OK if your batch only contains *master* images).\n\n* Batches may contain other folders. These are ignored by *jprofile*. \n\n## Licensing\n\n*Jprofile* is released under the [GNU Lesser General Public License](https://www.gnu.org/licenses/lgpl.html).\n\n## Installation\n\nThe easiest method to install *Jprofile* is to use the [*pip* package manager](https://en.wikipedia.org/wiki/Pip_(package_manager)). Alternatively, Windows users can also use stand-alone binaries that don't require Python at all (see below).\n\n## Installation with pip (single user)\n\nThis will work on any platform for which Python is available. You need a recent version of *pip* (version 9.0 or more recent). To install *Jprofile* for a single user, use the following command:\n\n pip install jprofile --user\n\n## Installation with pip (all users)\n\nTo install *Jprofile* for *all* users, use the following command:\n\n pip install jprofile\n\nYou need local admin (Windows) / superuser (Linux) privilige to do this. On Windows, you can do this by running the above command in a Command Prompt window that was opened as Administrator. On Linux, use this:\n\n sudo pip install jprofile\n\n## Installation of Windows binaries\n\nFor Windows users who don't have Python available on their system, stand-alone binaries of *Jprofile* are available. In this case the installation steps are:\n\n1. Download the latest binaries (64 or 32 bit) from the [latest release page ](https://github.com/KBNLresearch/jprofile/releases/latest).\n\n2. Unzip the downloaded file to an empty directory. \n\n## Command-line syntax\n\n\n usage: jprofile batchDir prefixOut -p PROFILE\n\n\n## Positional arguments\n\n**batchDir**: root directory of batch \n\n**prefixOut**: prefix that is used for writing output files\n\n**PROFILE**: name of profile that defines schemas for master, access and target images \n\nTo list all available profiles, use a value of *l* or *list* for *PROFILE*.\n\n\n## Profiles\n\nA *profile* is an *XML*-formatted file that simply defines which schemas are used to validate *jpylyzer*'s output for master, access and target images, respectively. Here's an example:\n\n \n\n \n\n master300Gray_2014.sch\n access300Colour_2014.sch\n master300Colour_2014.sch\n\n \n\nNote that each entry only contains the *name* of a profile, not its full path! All profiles are located in the *profiles* directory in the installation folder.\n\n## Available profiles\n\nThe following profiles are included by default:\n\n| Name|Description|\n| :------| :-----|\n|kb_generic_2014.xml|Generic profile for KB digitisation streams (doesn't include any checks on resolution or colour spaces!)|\n|kb_300Colour_2014.xml|As generic profile, but with additional requirements than resolution equals 300 ppi and colour space is Adobe RGB 1998|\n|kb_300Gray_2014.xml|As generic profile, but with additional requirements than resolution equals 300 ppi and colour space is Gray Gamma 2.2|\n|kb_600Colour_2014.xml|As generic profile, but with additional requirements than resolution equals 600 ppi and colour space is Adobe RGB 1998|\n|kb_600Gray_2014.xml|As generic profile, but with additional requirements than resolution equals 360 ppi and colour space is Gray Gamma 2.2|\n\nIt is possible to create custom-made profiles. Just add them to the *profiles* directory in the installation folder. \n\n## Schemas\n\nThe quality assessment is based on a number of rules/tests that are defined a set of *Schematron* schemas. These are located in the *schemas* folder in the installation directory. In principe *any* property that is reported by *jpylyzer* can be used here, and new tests can be added by editing the schemas. More details on this can be found in [this blog post](http://openpreservation.org/knowledge/blogs/2012/09/04/automated-assessment-jp2-against-technical-profile/). \n\n## Available schemas\n\n| Name|Description|\n|:------| :-----|\n|kbMaster_2014.sch|Generic schema for losslessly-compressed master images according to 2014 specifications|\n|master600Colour_2014.sch|Schema for losslessly-compressed master images, 600 ppi, Adobe RGB (1998) colour space|\n|master600Gray_2014.sch|Schema for losslessly-compressed master images, 600 ppi, Gray Gamma 2.2 colour space|\n|master300Colour_2014.sch|Schema for losslessly-compressed master images, 300 ppi, Adobe RGB (1998) colour space|\n|master300Gray_2014.sch|Schema for losslessly-compressed master images, 300 ppi, Gray Gamma 2.2 colour space|\n|kbAccess_2014.sch|Generic schema for lossily-compressed access images according to 2014 specifications|\n|access600Colour_2014.sch|Schema for lossily-compressed access images, 600 ppi, Adobe RGB (1998) colour space|\n|access600Gray_2014.sch|Schema for lossily-compressed access images, 600 ppi, Gray Gamma 2.2 colour space|\n|access300Colour_2014.sch|Schema for lossily-compressed access images, 300 ppi, Adobe RGB (1998) colour space|\n|access300Gray_2014.sch|Schema for lossily-compressed access images, 300 ppi, Gray Gamma 2.2 colour space|\n\nIt is possible to create custom-made schemas. Just add them to the *schemas* directory in the installation folder.\n\n## Overview of 2014 schemas\n\nThe following tables give a general overview of the technical profiles that the generic master- and access schemas are representing:\n\n### Master\n\n|Parameter|Value|\n|:---|:---|\n|File format|JP2 (JPEG 2000 Part 1)|\n|Compression type|Reversible 5-3 wavelet filter|\n|Colour transform|Yes (only for colour images)|\n|Number of decomposition levels|5|\n|Progression order |RPCL|\n|Tile size |1024 x 1024|\n|Code block size| 64 x 64 (26 x 26)|\n|Precinct size\t|256 x 256 (28) for 2 highest resolution levels; 128 x 128 (27) for remaining resolution levels|\n|Number of quality layers|11|\n|Target compression ratio layers|2560:1 [1] ; 1280:1 [2] ; 640:1 [3] ; 320:1 [4] ; 160:1 [5] ; 80:1 [6] ; 40:1 [7] ; 20:1 [8] ; 10:1 [9] ; 5:1 [10] ; 2.5:1 [11]|\n|Error resilience|Start-of-packet headers; end-of-packet headers; segmentation symbols|\n|Sampling rate|Stored in \"Capture Resolution\" fields|\n|Capture metadata|Embedded as XMP metadata in XML box|\n\n\n### Access\n\n|Parameter|Value|\n|:---|:---|\n|File format|JP2 (JPEG 2000 Part 1)|\n|Compression type|Irreversible 7-9 wavelet filter|\n|Colour transform|Yes (only for colour images)|\n|Number of decomposition levels|5|\n|Progression order |RPCL|\n|Tile size |1024 x 1024|\n|Code block size| 64 x 64 (26 x 26)|\n|Precinct size\t|256 x 256 (28) for 2 highest resolution levels; 128 x 128 (27) for remaining resolution levels|\n|Number of quality layers|8|\n|Target compression ratio layers|2560:1 [1] ; 1280:1 [2] ; 640:1 [3] ; 320:1 [4] ; 160:1 [5] ; 80:1 [6] ; 40:1 [7] ; 20:1 [8]|\n|Error resilience|\tStart-of-packet headers; end-of-packet headers; segmentation symbols|\n|Sampling rate|Stored in \"Capture Resolution\" fields|\n|Capture metadata|Embedded as XMP metadata in XML box|\n\nNote that jpylyzer is unable to establish the compression ratio of individual layers, so the access schema only checks for the overall compression ratio (i.e. 20:1). The more specific schemas (300Colour, 600Gray, etc.) contain additional checks for resolution values, the number of colour components and embedded ICC profiles. \n\n## Usage examples\n\n### List available profiles\n\n jprofile d:\\myBatch mybatch -p list\n\nThis results in a list of all available profiles (these are stored in the installation folder's *profiles* directory):\n\n Available profiles:\n\n kb_600Gray_2014.xml\n kb_300Gray_2014.xml\n kb_300Colour_2014.xml\n kb_600Colour_2014.xml\n kb_generic_2014.xml\n\n\n### Analyse batch\n\n jprofile d:\\myBatch mybatch -p kb_300Colour_2014.xml\n\nThis will result in the creation of 2 output files:\n\n- `mybatch_status.csv` (status output file)\n- `mybatch_failed.txt` (detailed output on images that failed quality asessment)\n\n## Status output file\n\nThis is a comma-separated file with the assessment status of each analysed image. The assessment status is either *pass* (passed all tests) or *fail* (failed one or more tests). Here's an example:\n\n F:\\test\\access\\MMKB03_000004896_00015_access.jp2,pass\n F:\\test\\access\\MMKB03_000004896_00115_access.jp2,pass\n F:\\test\\access\\MMKB03_000004896_00215_access.jp2,pass\n F:\\test\\targets-jp2\\MMKB03_MTF_RGB_20120626_02_01.jp2,fail\n F:\\test\\master\\MMKB03_000004896_00015_master.jp2,pass\n\n\n## Failure output file\n\nAny image that failed one or more tests are reported in the failure output file. For each failed image, it contains a full reference to the file path, followed by the specific errors. An example:\n\n\n F:\\test\\targets-jp2\\MMKB03_MTF_RGB_20120626_02_01.jp2\n *** Schema validation errors:\n Test \"layers = '11'\" failed (wrong number of layers)\n Test \"transformation = '5-3 reversible'\" failed (wrong transformation)\n Test \"comment = 'KB_MASTER_LOSSLESS_01/01/2015'\" failed (wrong codestream comment string)\n ####\n\nEntries in this file are separated by a sequence of 4 '#' characters. Note that each line here corresponds to a failed test in the schema (this information is taken from *Probatron*'s output). For images that are identified as not-valid JP2 some additional information from *jpylyzer*'s output is included as well. For example:\n\n\n F:\\test\\master\\MMUBL07_MTF_GRAY_20121213_01_05.jp2\n *** Schema validation errors:\n Test \"isValidJP2 = 'True'\" failed (no valid JP2)\n *** Jpylyzer JP2 validation errors:\n Test methIsValid failed\n Test precIsValid failed\n Test approxIsValid failed\n Test foundNextTilePartOrEOC failed\n Test foundEOCMarker failed\n ####\n\n\nHere, the outcome of test *isValidJP2* means that the image does not conform to the *JP2* specification. The lines following 'Jpylyzer JP2 validation errors' lists the specific errors that were reported by *jpylyzer*. The meaning of these errors can be found in the *jpylyzer* User Manual.\n\n## Preconditions\n\n- All images that are to be analysed have a .jp2 extension (all others are ignored!)\n- *Master* images are located in a (subdirectory of a) directory called '*master*'\n- *Access* images are located in a (subdirectory of a) directory called '*access*'\n- *Target* images are located in a (subdirectory of a) directory called '*targets-jp2*'.\n- Either of the above directories may be missing.\n\nOther than that, the organisation of images may follow any arbitrary directory structure (*jprofile* does a recursive scan of whole directory tree of a batch)\n\n## Known limitations\n\n- Images that have names containing square brackets (\"[\" and \"]\" are ignored (limitation of *Python*'s *glob* module, will be solved in the future).\n\n## Useful links\n\n- [*jpylyzer*](http://jpylyzer.openpreservation.org/)\n- [*Schematron*](http://en.wikipedia.org/wiki/Schematron)\n- [Automated assesment of JP2 against a technical profile using jpylyzer and Schematron](http://openpreservation.org/blog/2012/09/04/automated-assessment-jp2-against-technical-profile/)\n\n\n\n\n",
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