mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 00:57:33 +08:00
b565c15bf7
* Add tinypose model * Add PPTinypose python API * Fix picodet preprocess bug && Add Tinypose examples * Update tinypose example code * Update ppseg preprocess if condition * Update ppseg backend support type * Update permute.h * Update README.md * Update code with comments * Move files dir * Delete premute.cc * Add single model pptinypose * Delete pptinypose old code in ppdet * Code format * Add ppdet + pptinypose pipeline model * Fix bug for posedetpipeline * Change Frontend to ModelFormat * Change Frontend to ModelFormat in __init__.py * Add python posedetpipeline/ * Update pptinypose example dir name * Update README.md * Update README.md * Update README.md * Update README.md * Create keypointdetection_result.md * Create README.md * Create README.md * Create README.md * Update README.md * Update README.md * Create README.md * Fix det_keypoint_unite_infer.py bug * Create README.md * Update PP-Tinypose by comment * Update by comment * Add pipeline directory * Add pptinypose dir * Update pptinypose to align accuracy * Addd warpAffine processor * Update GetCpuMat to GetOpenCVMat * Add comment for pptinypose && pipline * Update docs/main_page.md * Add README.md for pptinypose * Add README for det_keypoint_unite * Remove ENABLE_PIPELINE option * Remove ENABLE_PIPELINE option * Change pptinypose default backend * PP-TinyPose Pipeline support multi PP-Detection models * Update pp-tinypose comment * Update by comments * Add single test example Co-authored-by: Jason <jiangjiajun@baidu.com>
32 lines
1.7 KiB
Markdown
32 lines
1.7 KiB
Markdown
# FastDeploy C++ API Summary
|
|
|
|
## Runtime
|
|
|
|
FastDeploy Runtime can be used as an inference engine with the same code, we can deploy Paddle/ONNX model on different device by different backends.
|
|
Currently, FastDeploy supported backends listed as below,
|
|
|
|
| Backend | Hardware | Support Model Format | Platform |
|
|
| :------ | :------- | :------------------- | :------- |
|
|
| Paddle Inference | CPU/Nvidia GPU | Paddle | Windows(x64)/Linux(x64) |
|
|
| ONNX Runtime | CPU/Nvidia GPU | Paddle/ONNX | Windows(x64)/Linux(x64/aarch64)/Mac(x86/arm64) |
|
|
| TensorRT | Nvidia GPU | Paddle/ONNX | Windows(x64)/Linux(x64)/Jetson |
|
|
| OpenVINO | CPU | Paddle/ONNX | Windows(x64)/Linux(x64)/Mac(x86) |
|
|
| Poros | CPU/Nvidia GPU | TorchScript | Linux(x64) |
|
|
|
|
### Example code
|
|
- [Python examples](./)
|
|
- [C++ examples](./)
|
|
|
|
### Related APIs
|
|
- [RuntimeOption](./structfastdeploy_1_1RuntimeOption.html)
|
|
- [Runtime](./structfastdeploy_1_1Runtime.html)
|
|
|
|
## Vision Models
|
|
|
|
| Task | Model | API | Example |
|
|
| :---- | :---- | :---- | :----- |
|
|
| object detection | PaddleDetection/PPYOLOE | [fastdeploy::vision::detection::PPYOLOE](./classfastdeploy_1_1vision_1_1detection_1_1PPYOLOE.html) | [C++](./)/[Python](./) |
|
|
| keypoint detection | PaddleDetection/PPTinyPose | [fastdeploy::vision::keypointdetection::PPTinyPose](./classfastdeploy_1_1vision_1_1keypointdetection_1_1PPTinyPose.html) | [C++](./)/[Python](./) |
|
|
| image classification | PaddleClassification serials | [fastdeploy::vision::classification::PaddleClasModel](./classfastdeploy_1_1vision_1_1classification_1_1PaddleClasModel.html) | [C++](./)/[Python](./) |
|
|
| semantic segmentation | PaddleSegmentation serials | [fastdeploy::vision::classification::PaddleSegModel](./classfastdeploy_1_1vision_1_1segmentation_1_1PaddleSegModel.html) | [C++](./)/[Python](./) |
|