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Detection, Classification, and Localisation of marine mammal and other bioacoustic signals
625 Commits 2 Branches 9 Tags 386 MiB
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Jamie Mac 47662b5045 Squashed commit of the following: 
commit d5f504dcd1
Author: Douglas Gillespie <50671166+douggillespie@users.noreply.github.com>
Date:   Fri Nov 10 18:08:31 2023 +0000

    Bearing localiser offline save

    Bug stopping it correctly saving data from the offline task to the
    database fixed.

commit 7a44d49e27
Author: Douglas Gillespie <50671166+douggillespie@users.noreply.github.com>
Date:   Fri Oct 27 09:59:28 2023 +0100

    X3 Version 2.2.3

    Add maven jar files for X3/SUD version 2.2.3

commit fa5fe9943d
Author: Douglas Gillespie <50671166+douggillespie@users.noreply.github.com>
Date:   Thu Oct 26 14:44:41 2023 +0100

    update sud file management to more efficiently skip to the correct part
    of a sud file when reading data offline.

commit 60435e567a
Author: Brian S Miller <93690136+BrianSMiller@users.noreply.github.com>
Date:   Fri Sep 8 21:54:40 2023 +1000

    Fixes issues #111 and fixes #112 (DIFAR module crashes and ability to use Deep Learning Detections in DIFAR module) (#110)

    * Bugfix for OverlayMarks

    Check for a null pointer exception in OverlayMarks that was causing a crash on startup.

    * Bugfix for null pointer in symbol manager

    Fix a bug that I found where the DIFAR module was crashing the symbol manager. Seems that this was due to this subclass of clip generator having a null value for it's uniqueName. I've fixed by checking for null values and assigning a generic symbol when null.

    * DeepLearning detections canGenerateClips=true

    Set flag in DeepLearning detector so that detections are considered 'clips' by Pamguard. This allows them to be processed automatically in the DIFAR Localisation module (and maybe others).

    * DIFAR: bugfix frequency limits for auto-detections

    Fix a bug in DIFAR module where the frequency limits of automated detections were not being set properly by the DIFAR module.

    * DeepLearning - Bugfix to detection duration

    Fix bug in deep learning detector where duration (in samples) was being set to number of samples in a hop instead of the number of samples in a segment.
2023-11-15 06:34:55 +00:00
.settings Fix GPS bug in group localizer offline processing 2023-10-25 09:17:12 +01:00
buildconfigurations Added sud file capability (#78) 2022-10-31 13:43:15 +00:00
lib64 Squashed commit of the following: 2022-09-30 09:59:20 +01:00
liblinux Commit PAMGuard code from SVN r6251 to GIT 2022-01-07 10:41:38 +00:00
repo Squashed commit of the following: 2023-11-15 06:34:55 +00:00
src Squashed commit of the following: 2023-11-15 06:34:55 +00:00
.classpath Bug fixes to group localiser. 2023-10-23 10:38:06 +01:00
.fatjar Commit PAMGuard code from SVN r6251 to GIT 2022-01-07 10:41:38 +00:00
.gitattributes Initial commit 2022-01-07 10:27:52 +00:00
.gitignore Updating localisation module. 2023-07-26 12:22:37 +01:00
.project Fixes to NoGUI, Network send and spectrogram graphics. (#23) 2022-02-27 14:06:26 +00:00
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buoynet.exe Commit PAMGuard code from SVN r6251 to GIT 2022-01-07 10:41:38 +00:00
dependency-reduced-pom.xml Fix GPS bug in group localizer offline processing 2023-10-25 09:17:12 +01:00
javaOptions32.PNG Commit PAMGuard code from SVN r6251 to GIT 2022-01-07 10:41:38 +00:00
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LICENSE Create LICENSE 2022-01-07 11:27:26 +00:00
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PamguardBeta32_ViewerMode.l4j.ini Commit PAMGuard code from SVN r6251 to GIT 2022-01-07 10:41:38 +00:00
PamguardBeta32.l4j.ini Commit PAMGuard code from SVN r6251 to GIT 2022-01-07 10:41:38 +00:00
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PamSettingsFiles.psg Commit PAMGuard code from SVN r6251 to GIT 2022-01-07 10:41:38 +00:00
pom.xml Bug fixes to group localiser. 2023-10-23 10:38:06 +01:00
README.html V2.02.09 2023-06-29 11:44:00 +01:00
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readme.md

This is the main code repository for the PAMGuard software.

This repository was created on 7 January 2022 from sourceforge SVN repository at https://sourceforge.net/p/pamguard/svn/HEAD/tree/ revision r6278.

If you are a PAMGuard developer, you should clone and branch this repository and share with any collaborators in your own workspace. When your work is ready, contact the PAMGuard team to have your changes merged back into this repo.