|
36 | 36 | - 新增加NLP信息抽取模型 UIE 并提供[端到端部署示例](examples/text/uie). |
37 | 37 | - |
38 | 38 |
|
39 | | -- 🔥 **2022.8.18：发布FastDeploy [release/v0.2.0](https://github.com/PaddlePaddle/FastDeploy/tree/release%2F0.2.0)** <br> |
| 39 | +- 🔥 **2022.8.18：发布FastDeploy [release v0.2.0](https://github.com/PaddlePaddle/FastDeploy/tree/release%2F0.2.0)** <br> |
40 | 40 | - **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** |
41 | 41 | - 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 |
42 | 42 | - 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[]) { |
167 | 167 | 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> |
168 | 168 | 链接说明：「模型列」会跳转到模型推理Demo代码 |
169 | 169 |
|
170 | | -| 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) | |
171 | | -| :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: |:--------: |:--------: |:--------: | |
172 | | -| --- | --- | --- | <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) |✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔| |
| 170 | +
|
| 171 | +| 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) | |
| 172 | +|:-----------------------------:|:---------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------:|:---------------------:|:------------------------:|:------------------------:|:------------------------:|:-----------------------:|:---------------------:|:--------------------------:|:---------------------------:|:--------------------------:|:---------------------------:| |
| 173 | +| --- | --- | --- | <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)| |
| 174 | +| <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) |✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔| |
173 | 175 | | <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) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔| |
174 | 176 | | <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) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔| |
175 | 177 | | <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) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |❔|❔| |
|
0 commit comments