fix readme link, test=document_fix
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@ -8,6 +8,7 @@ PaddleClas is a toolset for image classification tasks prepared for the industry
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**Recent update**
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- 2020.10.12 Add Paddle-Lite demo。
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- 2020.10.10 Add cpp inference demo and improve FAQ tutorial.
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- 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%.
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- 2020.09.07 Add `HRNet_W18_C_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 81.16%.
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@ -25,7 +26,7 @@ PaddleClas is a toolset for image classification tasks prepared for the industry
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- Data augmentation: PaddleClas provides detailed introduction of 8 data augmentation algorithms such as AutoAugment, Cutout, Cutmix, code reproduction and effect evaluation in a unified experimental environment.
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- Pretrained model with 100,000 categories: Based on `ResNet50_vd` model, Baidu open sourced the `ResNet50_vd` pretrained model trained on a 100,000-category dataset. In some practical scenarios, the accuracy based on the pretrained weights can be increased by up to 30%.
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- Pretrained model with 100,000 categories: Based on `ResNet50_vd` model, Baidu open sourced the `ResNet50_vd` pretrained model trained on a 100,000-category dataset. In some practical scenarios, the accuracy based on the pretrained weights can be increased by up to 30%.
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- A variety of training modes, including multi-machine training, mixed precision training, etc.
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@ -55,9 +56,9 @@ PaddleClas is a toolset for image classification tasks prepared for the industry
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- Model prediction/inference
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- [Prediction based on training engine](./docs/en/extension/paddle_inference_en.md)
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- [Python inference](./docs/en/extension/paddle_inference_en.md)
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- C++ inference (coming soon)
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- [C++ inference](./deploy/cpp_infer/readme_en.md)
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- [Serving deployment](./docs/en/extension/paddle_serving_en.md)
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- Mobile (coming soon)
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- [Mobile](./deploy/lite/readme.md)
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- [Model Quantization and Compression](docs/en/extension/paddle_quantization_en.md)
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- Advanced tutorials
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- [Knowledge distillation](./docs/en/advanced_tutorials/distillation/distillation_en.md)
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@ -7,6 +7,7 @@
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飞桨图像分类套件PaddleClas是飞桨为工业界和学术界所准备的一个图像分类任务的工具集,助力使用者训练出更好的视觉模型和应用落地。
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**近期更新**
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- 2020.10.12 添加Paddle-Lite demo。
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- 2020.10.10 添加cpp inference demo,完善`FAQ 30问`教程。
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- 2020.09.17 添加 `HRNet_W48_C_ssld `模型,在ImageNet-1k上Top-1 Acc可达83.62%;添加 `ResNet34_vd_ssld `模型,在ImageNet-1k上Top-1 Acc可达79.72%。
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- 2020.09.07 添加 `HRNet_W18_C_ssld `模型,在ImageNet-1k上Top-1 Acc可达81.16%;添加 `MobileNetV3_small_x0_35_ssld `模型,在ImageNet-1k上Top-1 Acc可达55.55%。
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@ -54,9 +55,9 @@
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- 模型预测
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- [基于训练引擎预测推理](./docs/zh_CN/extension/paddle_inference.md)
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- [基于Python预测引擎预测推理](./docs/zh_CN/extension/paddle_inference.md)
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- 基于C++预测引擎预测推理(coming soon)
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- [基于C++预测引擎预测推理](./deploy/cpp_infer/readme.md)
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- [服务化部署](./docs/zh_CN/extension/paddle_serving.md)
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- 端侧部署(coming soon)
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- [端侧部署](./deploy/lite/readme.md)
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- [模型量化压缩](docs/zh_CN/extension/paddle_quantization.md)
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- 高阶使用
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- [知识蒸馏](./docs/zh_CN/advanced_tutorials/distillation/distillation.md)
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@ -1,5 +1,8 @@
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# Release Notes
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- 2020.10.12
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* Add Paddle-Lite demo.
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- 2020.10.10
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* Add cpp inference demo.
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* Improve FAQ tutorials.
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@ -1,5 +1,7 @@
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# 更新日志
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- 2020.10.12
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* 添加Paddle-Lite demo。
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- 2020.10.10
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* 添加cpp inference demo。
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