Releases: activeloopai/deeplake
Releases · activeloopai/deeplake
v3.9.33 🌈
🧭 What's Changed
- Update version for the next release (#3002) @activesoull
- Fixed query result datatests merged class_label tensor's class_names consistent @activesoull
- Make libdeeplake dependency to always download the latest release (#3004) @activesoull
⚙️ Who Contributes
v4.1.0🌈
First major release since v4 announcements. Here's the highlights of what's included:
New Features:
- Ability to add linked rows for images, segment masks and binary masks
- Ability to save query views through tagging
- Integration with MMDetection and MMSegmentation
- Autocommit the data at the session exit
- Ability to create dynamic arrays
- Ability to create structures with known schema
Improvements and fixes:
- Significantly improved dataset load time for large datasets
- Flushing the data in background during ingestion
- Reduced memory usage during ingestion
- Ability to slice the dataset and column by slices, lists and tuples
- Fixed various bugs in query engine, v3-to-v4 conversion flow and data ingestion flow
v3.9.32 🌈
🧭 What's Changed
- LabelBox integration (#2995) @tyesayan
- fixed optimize for image.rgb and image.gray htypes (#3001) @activesoull
- View schedule fix (#3000) @activesoull
- [DEEP-454] fixed ds.summary with new json implementation (#2999) @activesoull
- Class label test fix (#2998) @activesoull
⚙️ Who Contributes
@activesoull, @artgish, @nvoxland-al, @tyesayan, @zaaram and Tigran Yesayan
v3.9.31 🌈
🧭 What's Changed
- Fixed class_label's inconsistency issue on Unioned dataset (#2996) @activesoull
⚙️ Who Contributes
v3.9.30 🌈
🧭 What's Changed
- Fix decode_ method = data methods behavior in data loader (#2993) @activesoull
⚙️ Who Contributes
v4.0.3
v3.9.29 🌈
v4.0.2
v3.9.28 🌈
v4.0.1 🌈
🧭 What's Changed
- Up to 5x improvement on dataset open time for large datasets
- Ability to interrupt long running query with Ctrl-C
- Added support for tag checkout in TQL FROM
- Reduced binary size by ~2Mb
- Fixed clustered index search on small data
- Fixed deeplake.convert bug with text columns