Published May 11, 2022
| Version 2022-05-01
Software
Open
WildMeOrg/Wildbook: 2022-05-01 Release
Authors/Creators
- Jon Van Oast1
- Jason Holmberg2
- Richard June
- Colin W Kingen3
- Drew Blount
- Mark4
- Wild Me2
- gpoautomation
- Giles Winstanley
- schibel21
- Anna Becker
- Julian Donovan5
- Chris Wainner
- marcial21
- Charles Overbeck
- Ken Southerland
- mbrecunier
- Luces Huayhuaca6
- Matt7
- Ed Stastny
- SeanGillespie
- ecostats8
- Joanna Hoang
- Jason Parham, Ph.D.9
- Francis Joyce10
- sebrecht20
- Ben Scheiner11
- Esti Shay12
- 1. Wild Me / @WildMeOrg
- 2. Wild Me
- 3. Wild Me @WildbookOrg
- 4. WildMe
- 5. Google
- 6. HashiCorp
- 7. Bright.md
- 8. Ecological Software Solutions LLC
- 9. Senior Computer Vision Researcch Engineer
- 10. UC Santa Cruz
- 11. h2o.ai // Wild Me
- 12. @consbio
Description
Release notes for March and April 2022
Hey everyone! Here are the details of the major work completed over the last two months.
Wildbook community updates
- New locations have been added to Flukebook, Amphibian, and GiraffeSpotter.
- Hyenas have been added to Whiskerbook.
- Lions have been added to ACW
- Projects have been updated to reflect user feedback, including sortability and visibility of sightings.
- Bulk import now displays information about queue times.
- Start Match, from the encounter page, now shows information about the queue times.
- GiraffeSpotter has improved prefix digit padding.
Bug fixes
- WB-1959: Restored the ability to set individual ID on unmatched Encounters.
- WB-1947: Links to match results from projects now go to the correct matches.
- WB-1941: Project links to matching results now tied to the appropriate encounter rather than the associated bulk import.
- WB-1933: Sharkbook is now more stable.
- WB-1910: Recaptcha has been restored on Lynx Wildbook. *WB-1909: Bugs have been addressed in the SOCPROG and CAPTURE export formats.
Wildbook-IA Release Notes
The following updates were made to WBIA last month:
- SAGE-444: Added PIE V2 support for lion faces, allowing automated matching for baseline comparisons.
- SAGE-503: Investigate train/validation split correctness with the PIE V2 algorithm.
- SAGE-489: Publish all WBIA plugins on PyPI.
- SAGE-432: All Azure-based ML APIs have been migrated to on-premises hardware.
Files
WildMeOrg/Wildbook-2022-05-01.zip
Files
(130.5 MB)
| Name | Size | Download all |
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md5:4cd003cb2ab1250d06a72f3efb8f3228
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Additional details
Related works
- Is supplement to
- https://github.com/WildMeOrg/Wildbook/tree/2022-05-01 (URL)