Antonio Larrosa 9aceb08d9d Allow images with "no type" to match "any type"
This fixes PICARD-1001, which was comparing the following two images:
CoverArtImage(url=u'http://ec2.images-amazon.com/images/P/B001BJAG9O.03.LZZZZZZZ.jpg')
TagCoverArtImage(u'/mnt/data/music/Amy Macdonald/2007 - This Is the Life [2008]/01 - Mr Rock & Roll.flac', tag='FLAC/PICTURE', types=[u'front'], support_types=True)
Which were exactly the same, but the one coming from the release had
an empty types, so they were handled as different.
This commit makes images with "no type" defined match "any type" (as
long as the image data is the same, of course).
2017-03-23 19:35:40 +01:00
2017-03-13 13:36:25 +01:00
2017-03-11 00:34:54 +05:30
2017-01-14 19:47:09 +01:00
2017-03-11 00:34:54 +05:30
2017-02-26 12:11:44 +01:00
2006-10-19 22:00:30 +02:00
2016-12-27 15:44:52 +05:30
2017-02-14 14:10:30 +05:30
2017-02-19 03:49:22 +05:30
2017-03-09 15:12:35 +05:30
2016-04-03 05:54:15 +05:30

MusicBrainz Picard

Build Status

MusicBrainz Picard is a cross-platform (Linux/Mac OS X/Windows) application written in Python and is the official MusicBrainz tagger.

Picard supports the majority of audio file formats, is capable of using audio fingerprints (AcoustIDs), performing CD lookups and disc ID submissions, and it has excellent Unicode support. Additionally, there are several plugins available that extend Picard's features.

When tagging files, Picard uses an album-oriented approach. This approach allows it to utilize the MusicBrainz data as effectively as possible and correctly tag your music. For more information, see the illustrated quick start guide to tagging.

Picard is named after Captain Jean-Luc Picard from the TV series Star Trek: The Next Generation.

Binary downloads are available here.

Support and issue reporting

Please report all bugs and feature requests in the MusicBrainz issue tracker. If you need support in using Picard please read the documentation first and have a look at the MusicBrainz community forums.

Description
No description provided
Readme 82 MiB
Languages
Python 99.4%
Shell 0.3%
PowerShell 0.2%
C 0.1%