Releases: towhee-io/towhee
Releases · towhee-io/towhee
towhee-1.1.3
towhee-1.1.2
Towhee
This version is to fix the issue of towhee triton server returning incorrect data under high concurrency.
towhee-1.1.1
Towhee
This version is to fix incompatibilities with pydantic 2.0.
towhee-1.1.0
Towhee
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AutoPipes Support pipelines from Towhee hub
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Add debug() API
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Support pipeline as a node
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Add revision and latest for operator
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Add retry when downloading operators
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Add DataSource Operators
Pipelines
- towhee/eqa-insert
- towhee/eqa-search
Operators
- towhee/text-loader
- towhee/text-splitter
- prompt/question-answer
- prompt/template
- LLM/Dolly
- LLM/OpenAIs
- LLM/Ernie
Document
towhee-1.0.0
Introduction to New Features of Towhee
- Support batch interface
- Support converting pipeline to Nvidia triton server
- New docs https://docs.towhee.io/ and https://towhee.readthedocs.io/en/main/index.html
- Remove legacy interface.
towhee-0.9.0
Towhee.command
- Support operators code package and upload to pypi
- towhee package -n [namespace] -p [repo_name]
- Support weight files upload to S3, list files in S3 folder and download from S3
- towhee lsS3 -p [path in bucket]
- towhee downloadS3 -pl [path local] -pb [path bucket]
s3: model weights
- 5 model weights on S3: clip4clip, vggish, nnfp_fma, nnfp_fma_distill_128
New Models
- 1 Video classification model
- 3 SOTA vision backbones
Operators
- Add 2 code search operators: code_search.codebert, code_search.unixcoder
- Add 5 image captioning operators: image_captioning.expansionnet-v2, image_captioning.magic, image_captioning.clip_caption_reward, image_captioning.blip, image_captioning.clipcap
- Add 5 image-text embedding operators: image_text_embedding.albef, image_text_embedding.ru_clip, image_text_embedding.japanese_clip, image_text_embedding.taiyi, image_text_embedding.slip
- Add 1 machine-translation operator: machine_translation.opus_mt
- Add 1 filter-tiny-segments operator: video-copy-detection.filter-tiny-segments
Notebooks
- Update the beginner tutorial of audio fingerprinting: Audio Fingerprint I: Build a Demo with Towhee & Milvus (modified vote method)
- Add an advanced tutorial for audio fingerprinting: Audio Fingerprint II: Music Detection with Temporal Localization (increased accuracy from 84% to 90%)
Performance
- Improve video de-copy F1 metrics on MPAA dataset.(88.83% -> 94.46%)
Towhee
- New pipeline interface. The pipeline nodes support map/flat_map/filter/window/time_window/window_all types.
towhee-0.8.1
New Models:
- Vision backbone for video embedding
- 3 SOTA vision backbones
Operators:
- Add 2 video de-copy operators: select-video, temporal-network
- Add 1 image embedding operator specifically designed for image retrieval and video de-copy with SOTA performance on VCSL dataset: isc
- Add 1 audio embedding operator specified for audio fingerprint: audio_embedding.nnfp (with pretrained weights)
Notebooks:
- Add 1 tutorial for video de-copy: video_deduplication_at_segment_level.ipynb
- Add 1 beginner tutorial for audio fingerprint: Audio Fingerprint I: Build a Demo with Towhee & Milvus
DC
- dc.flatten now support multi column
- dc.group_by;
- kv storag mixin
- dc.insert_leveldb;
- dc.serach_leveldb;
- Operator output nothing, i.e. dc.operator'input',
towhee-0.8.0
towhee
- Use nvidia triton server as a backend of towhee. Towhee supports generating a triton server from a towhee pipeline.
- Towhee supports GPU image decode.
towhee.models
towhee-0.7.3
5 New SOTA Models:
towhee-0.7.2
Bug Fix:
- Reduce towhee packages size.