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update to 0.9.0 (#270)
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@ -46,6 +46,12 @@ EasyCV is an all-in-one computer vision toolbox based on PyTorch, mainly focuses
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## What's New
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[🔥 2023.01.17]
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* 17/01/2023 EasyCV v0.9.0 was released.
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- Support Single-lens MOT
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- Support video recognition (X3D, SWIN-video)
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[🔥 2022.12.02]
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* 02/12/2022 EasyCV v0.8.0 was released.
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@ -45,9 +45,15 @@ EasyCV是一个涵盖多个领域的基于Pytorch的计算机视觉工具箱,
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## 最新进展
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[🔥 2023.01.17]
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* 17/01/2023 EasyCV v0.9.0 was released.
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- 支持单镜头多目标跟踪。
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- 增加视频识别算法 (X3D, SWIN-video)
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[🔥 2022.12.02]
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* 02/12/2022 EasyCV v0.8.0 was released.
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* 02/12/2022 EasyCV v0.8.0 版本发布.
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- bevformer-base NDS在nuscenes val上提升0.8,训练速度提升10%,推理速度提升40%。
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- 支持Objects365预训练,加入DINO++模型在200M模型规模下可达到63.4mAP的精度(同等规模下精度最佳)。
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@ -1,3 +1,24 @@
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# v 0.9.0 (17/01/2023)
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## Highlights
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- Support Single-lens MOT ([#258](https://github.com/alibaba/EasyCV/pull/258))
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- Support video recognition (X3D, SWIN-video) ([#256](https://github.com/alibaba/EasyCV/pull/256))
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## New Features
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- Add inception config and voc config for FCN and UperNet ([#261](https://github.com/alibaba/EasyCV/pull/261))
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- Add inference time under V100 for the benchmark of deitiii and hydra attention ([#251](https://github.com/alibaba/EasyCV/pull/251))
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- Add bev-blancehybrid benchmark ([#249](https://github.com/alibaba/EasyCV/pull/249))
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## Improvements
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- Optimize data source apis ([#254](https://github.com/alibaba/EasyCV/pull/254))
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- Update predict.py to support input model directory ([#252](https://github.com/alibaba/EasyCV/pull/252))
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## Bug Fixes
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- Fix MAE arg error after timm upgrade ([#255](https://github.com/alibaba/EasyCV/pull/255))
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- Fix export SSL models bug, avoid loading default pretrained backbone model ([#257](https://github.com/alibaba/EasyCV/pull/257))
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- Fix bug can't find config files while easycv is installed ([#253](https://github.com/alibaba/EasyCV/pull/253))
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# v 0.8.0 (5/12/2022)
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## Highlights
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@ -2,5 +2,5 @@
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# GENERATED VERSION FILE
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# TIME: Thu Nov 5 14:17:50 2020
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__version__ = '0.8.0'
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short_version = '0.8.0'
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__version__ = '0.9.0'
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short_version = '0.9.0'
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