未验证 提交 ad816586 编写于 作者: L littletomatodonkey 提交者: GitHub

Update README.md

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PaddleClas is a toolset for image classification tasks prepared for the industry and academia. It helps users train better computer vision models and apply them in real scenarios.
**Recent update**
- 2021.03.02 Add support for model quantization。
- 2021.02.01 Add `RepVGG` pretrained models, whose Top-1 Acc on ImageNet-1k dataset reaches 79.65%.
- 2021.01.27 Add `ViT` and `DeiT` pretrained models, `ViT`'s Top-1 Acc on ImageNet-1k dataset reaches 85.13%, and `DeiT` reaches 85.1%.
- 2021.01.08 Add support for whl package and its usage, Model inference can be done by simply install paddleclas using pip.
- 2020.12.16 Add support for TensorRT when using cpp inference to obain more obvious acceleration.
- 2020.12.06 Add `SE_HRNet_W64_C_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 84.75%.
- 2020.11.23 Add `GhostNet_x1_3_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 79.38%.
- 2020.11.09 Add `InceptionV3` architecture and pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.1%.
- 2020.09.17 Add `Res2Net50_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 83.1%. Add `Res2Net101_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 83.9%.
- 2020.10.12 Add Paddle-Lite demo。
- 2020.10.10 Add cpp inference demo and improve FAQ tutorial.
- 2020.09.17 Add `HRNet_W48_C_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 83.62%. Add `ResNet34_vd_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 79.72%.
- [more](./docs/en/update_history_en.md)
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- [Serving deployment](./deploy/hubserving/readme_en.md)
- [Mobile](./deploy/lite/readme_en.md)
- [Inference using whl ](./docs/en/whl_en.md)
- [Model Quantization and Compression](docs/en/extension/paddle_quantization_en.md)
- [Model Quantization and Compression](deploy/slim/quant/README_en.md)
- Advanced tutorials
- [Knowledge distillation](./docs/en/advanced_tutorials/distillation/distillation_en.md)
- [Data augmentation](./docs/en/advanced_tutorials/image_augmentation/ImageAugment_en.md)
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