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Releases: activeloopai/deeplake

1.3.7

29 May 14:31
@github-actions github-actions
1.3.7
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1.3.7

🚀 New

🐛 Bug Fixes

🔗 Dependency Updates

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1.3.5

29 Apr 14:16
@github-actions github-actions
1.3.5
4f3bd32
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1.3.5

🧭 What's Changed

🐛 Bug Fixes

🔗 Dependency Updates

⚙️ Who Contributed

@AbhinavTuli, @Anselmoo, @istranic, @kristinagrig06 and @mynameisvinn

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1.3.4

19 Apr 13:18
@github-actions github-actions
1.3.4
a9d4d30
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1.3.4

🐛 Bug Fixes

🧭 What's Changed

🚀 New

🗂 Documentation

🔗 Dependency Updates

⚙️ Who Contributed

@AbhinavTuli, @DebadityaPal, @Diveafall, @haiyangdeperci, @mikayelh and @thisiseshan

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1.3.3 🚀

09 Apr 07:56
@Diveafall Diveafall
1.3.3
61036c2
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1.3.3 🚀

🧭 What's Changed

  • to_pytorch now supports a new argument (key_list) that only passes certain tensors to it and speeds up iteration time in case multiple extra tensors are present. (#715) @AbhinavTuli
  • Caching present within to_pytorch has been improved to tensors with dynamic shapes (earlier it was saving only the current sample in the cache) (#715) @AbhinavTuli
  • Added ability to store DatasetView as a new Dataset (#740) @AbhinavTuli
  • Introduces Windows and MacOS tests to circleci (#719) @haiyangdeperci
  • Benchmark restructuring and memory profiling (#642) @benchislett
  • changed default dtype of classlabel from uint16 to uint8 (#745) @AbhinavTuli
  • Updated humbug version (#728) @zomglings

🗂️ Documentation

  • Add examples of dataset generation and modification using transforms, trainings with TensorFlow and PyTorch (#675) @kristinagrig06
  • Added code and testing notebook for running dataset transforms on a ray cluster. (#713) @kristinagrig06

🐛 Bug Fixes

🔗 Dependency Updates

⚙️ Who Contributed

@AbhinavTuli, @Diveafall, @benchislett, @haiyangdeperci, @imshashank, @kristinagrig06 and @zomglings

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1.3.2

26 Mar 11:10
@AbhinavTuli AbhinavTuli
1.3.2
f688ec3
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1.3.2

🚀 New

🧭 What's Changed

  • to_tensorflow now supports a new argument (key_list) that only passes certain tensors to it and speeds up iteration time in case multiple extra tensors are present. (#689) @AbhinavTuli
  • Caching present within to_tensorflow has been improved to tensors with dynamic shapes (earlier it was saving only the current sample in the cache) (#689) @AbhinavTuli
  • Adds the option to specify None as compressor while defining the schema (#689) @AbhinavTuli
  • Adds the ability to slice dynamically shaped tensors and obtain a list instead of iterating over them one by one. (#689) @AbhinavTuli
  • transform logic has been modified to work properly with multiple workers (#689) @AbhinavTuli
  • Added tags to usage and crash reports (#697) @zomglings
  • Added ipynb file with benchmark tests for dnafrag package (#676) @DebadityaPal
  • Relaxed hub requirements (#659) @haiyangdeperci
  • Updated Objectron dataset tensors from generic types to hub schema representations (#705) @haiyangdeperci

🐛 Bug Fixes

🗂 Documentation

🔗 Dependency Updates

⚙️ Who Contributed

@AbhinavTuli, @DebadityaPal, @McCrearyD, @TakshPanchal, @dependabot-preview, @dependabot-preview[bot], @dhiganthrao, @george-zakharov, @haiyangdeperci, @hakanbakacak, @kevinlu1211, @kristinagrig06, @madhucharan, @mynameisvinn, @thisiseshan, @zomglings

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1.3.1

26 Mar 08:57
@AbhinavTuli AbhinavTuli
1.3.1
06cab25
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1.3.1

🚀 New

🧭 What's Changed

  • to_tensorflow now supports a new argument (key_list) that only passes certain tensors to it and speeds up iteration time in case multiple extra tensors are present. (#689) @AbhinavTuli
  • Caching present within to_tensorflow has been improved to tensors with dynamic shapes (earlier it was saving only the current sample in the cache) (#689) @AbhinavTuli
  • Adds the option to specify None as compressor while defining the schema (#689) @AbhinavTuli
  • Adds the ability to slice dynamically shaped tensors and obtain a list instead of iterating over them one by one. (#689) @AbhinavTuli
  • transform logic has been modified to work properly with multiple workers (#689) @AbhinavTuli
  • Added tags to usage and crash reports (#697) @zomglings
  • Added ipynb file with benchmark tests for dnafrag package (#676) @DebadityaPal
  • Relaxed hub requirements (#659) @haiyangdeperci
  • Updated Objectron dataset tensors from generic types to hub schema representations (#705) @haiyangdeperci

🐛 Bug Fixes

🗂 Documentation

🔗 Dependency Updates

⚙️ Who Contributed

@AbhinavTuli, @DebadityaPal, @McCrearyD, @TakshPanchal, @dependabot-preview, @dependabot-preview[bot], @dhiganthrao, @george-zakharov, @haiyangdeperci, @hakanbakacak, @kevinlu1211, @kristinagrig06, @madhucharan, @mynameisvinn, @thisiseshan, @zomglings

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1.3.0

08 Mar 15:31
@AbhinavTuli AbhinavTuli
1.3.0
853456a
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1.3.0

🧭 What's Changed

  1. Version Control has been added to Hub Datasets! (#610) @AbhinavTuli
  2. to_tensorflow now properly supports Text datasets (#658) @AbhinavTuli
  3. Hub crash and system information reports using Bugout (#624) @zomglings
  4. Added support for multiple BBox and Classlabel, instead of Sequences. (#658) @AbhinavTuli
  5. CLI name has been changed from hub to activeloop (#631) @haiyangdeperci
  6. Notebook example for creating dataset for object detection and instance segmentation added(#629) @haritsahm
  7. Tutorial for working with Audio Added (#592) @mynameisvinn

🚀 New

  1. Hub version command cli (#628) @sparkingdark
  2. Automatic Release Drafter added to repository (#598) @Anselmoo
  3. Improve Directory Structure of Examples (#630) @SauravMaheshkar
  4. Put zarr, tileDB, and hub benchmarks in one file (#534) @DebadityaPal
  5. Refactored Dataset Class (#576) @DebadityaPal
  6. Add Github Actions CI pipeline (#372) @ADI10HERO
  7. Improve Directory Structure of Examples (#630) @SauravMaheshkar

🐛 Bug Fixes

  1. Removed Assertions from shape_detector.py and added exceptions (#616) @DebadityaPal
  2. Adds support for dataset views in sharded dataset (#557) @AbhinavTuli
  3. Advanced slicing added for Sharded Dataset (#558) @AbhinavTuli

🗂 Documentation

  1. README added in Korean (#621) @HyeongminLEE
  2. README added in Bahasa Indonesia (#645) @haritsahm
  3. README added in French (#640) @MargauxMasson
  4. README added in Turkish (#608) @hakanbakacak
  5. Chinese Readme Proofread and Update (#613) @Cynthia7979
  6. Change ds.commit() to ds.flush() throughout in README.md (#619) @galbwe
  7. Added explaination for local file system to docs (#634) @McCrearyD
  8. Replaced commit() with flush() in documentation. (#604) @dhiganthrao
  9. Add MinIO to Data Storage docs (#605) @gabriel-milan
  10. Updated example notebooks with pip (#585) @MojammelHossain
  11. Typos fixed (#591) @dPacc

🔗 Dependency Updates

Bump pytest from 6.2.1 to 6.2.2 (#496) @dependabot-preview
Bump ray from 1.0.0 to 1.2.0 (#554) @dependabot-preview
Bump boto3 from 1.16.39 to 1.17.20 (#646) @dependabot-preview

⚙️ Who Contributed

@ADI10HERO, @AbhinavTuli, @Anselmoo, @Cynthia7979, @DebadityaPal, @HyeongminLEE, @MargauxMasson, @McCrearyD, @MojammelHossain, @SauravMaheshkar, @dPacc, @davidbuniat, @dhiganthrao, @gabriel-milan, @galbwe, @haiyangdeperci, @hakanbakacak, @haritsahm, @imshashank, @mikayelh, @mynameisvinn, @sparkingdark and @zomglings

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1.2.3

07 Mar 04:44
@AbhinavTuli AbhinavTuli
1.2.3
63cf2d5
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1.2.3

Release Notes

  1. Reverting shape checks for Mask schema to maintain backward compatibility.
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1.2.2

17 Feb 10:12
@AbhinavTuli AbhinavTuli
1.2.2
bd47a0c
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1.2.2

Release Notes

  1. Hotfix for a bug that resulted in incorrect slicing of TensorView.
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1.2.1

16 Feb 03:13
@AbhinavTuli AbhinavTuli
1.2.1
d9ebc7e
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1.2.1

Release Notes

  1. Dataset copying has been added allowing you to copy your own and other users' datasets easily. Datasets can be copied across gcs, s3, aws, local storage and hub storage. #454 (@AbhinavTuli)
  2. Many improvements to the benchmarks #508 #512 #531 #545 #550 (@haiyangdeperci @DebadityaPal)
  3. Development Roadmap added #511 (@mynameisvinn)
  4. Improved message for Hub transforms by displaying shard size #523 (@DebadityaPal)
  5. All windows have now been fixed. #528 (@AbhinavTuli)
  6. Hub dataset filtering has been overhauled and a section has been added for the same in the documentation #539 (@AbhinavTuli)
  7. to_tensorflow issues with Datasets containing Sequences (such as coco) have been fixed #540 (@AbhinavTuli)
  8. Adds get_label parameter to .compute() and .numpy(), to directly retrieve string label from ClassLabel #489 (@DebadityaPal)
  9. Tutorial added for using Hub with Hugging Face transformers #536 (@DebadityaPal)
  10. Some unit tests have now been parameterized to cover multiple datatypes #527 (@drewpotter)
  11. From directory function has been implemented to directly ingest categorical image data #459 (@sparkingdark)
  12. Example use case added for creating a Hub dataset for Deep Learning prediction of crop yield #559 (@MargauxMasson)
  13. MPL Headers have been added to source files #494 (@KrishnaChaitanya1)
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