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leiqing
2022-10-20 19:24:02 +08:00
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@@ -36,7 +36,7 @@
- 新增加NLP信息抽取模型 UIE 并提供[端到端部署示例](examples/text/uie).
-
- 🔥 **2022.8.18：发布FastDeploy [release/v0.2.0](https://github.com/PaddlePaddle/FastDeploy/tree/release%2F0.2.0)** <br>
- 🔥 **2022.8.18：发布FastDeploy [release v0.2.0](https://github.com/PaddlePaddle/FastDeploy/tree/release%2F0.2.0)** <br>
- **服务端部署全新升级：更快的推理性能，更多的视觉模型支持**
- 发布基于x86 CPU、NVIDIA GPU的高性能推理引擎SDK，推理速度大幅提升
- 集成Paddle Inference、ONNX Runtime、TensorRT等推理引擎并提供统一的部署体验
@@ -167,9 +167,11 @@ int main(int argc, char* argv[]) {
符号说明: (1) ✅: 已经支持; (2) ❔: 未来支持; (3) ❌: 暂不支持; (4) --: 暂不考虑;<br>
链接说明：「模型列」会跳转到模型推理Demo代码
| 任务场景 | 模型 | API | Linux | Linux | Win | Win | Mac | Mac | Linux | Linux | [web_demo](examples/application/js/web_demo) | [mini_program](examples/application/js/mini_program) |
| :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: |:--------: |:--------: |:--------: |
| --- | --- | --- | <font size=2> X86 CPU | <font size=2> NVIDIA GPU | <font size=2> Intel CPU | <font size=2> NVIDIA GPU | <font size=2> Intel CPU | <font size=2> Classification | <font size=2> [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) |✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔|
| 任务场景 | 模型 | API | Linux | Linux | Win | Win | Mac | Mac | Linux | Linux | [web_demo](examples/application/js/web_demo) | [mini_program](examples/application/js/mini_program) |
|:-----------------------------:|:---------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------:|:---------------------:|:------------------------:|:------------------------:|:------------------------:|:-----------------------:|:---------------------:|:--------------------------:|:---------------------------:|:--------------------------:|:---------------------------:|
| --- | --- | --- | <font size=2> X86 CPU | <font size=2> NVIDIA GPU | <font size=2> Intel CPU | <font size=2> NVIDIA GPU | <font size=2> Intel CPU | <font size=2> Arm CPU | <font size=2> AArch64 CPU | <font size=2> NVIDIA Jetson |[Paddle.js](examples/application/js)| [Paddle.js](examples/application/js)|
| <font size=2> Classification | <font size=2> [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) |✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔|
| <font size=2> Classification | <font size=2> [PaddleClas/PP-LCNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔|
| <font size=2> Classification | <font size=2> [PaddleClas/PP-LCNetv2](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔|
| <font size=2> Classification | <font size=2> [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔|