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[Doc] Fix dead links (#584)

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* first commit for yolov7

* pybind for yolov7

* CPP README.md

* CPP README.md

* modified yolov7.cc

* README.md

* python file modify

* delete license in fastdeploy/

* repush the conflict part

* README.md modified

* README.md modified

* file path modified

* file path modified

* file path modified

* file path modified

* file path modified

* README modified

* README modified

* move some helpers to private

* add examples for yolov7

* api.md modified

* api.md modified

* api.md modified

* YOLOv7

* yolov7 release link

* yolov7 release link

* yolov7 release link

* copyright

* change some helpers to private

* change variables to const and fix documents.

* gitignore

* Transfer some funtions to private member of class

* Transfer some funtions to private member of class

* Merge from develop (#9)

* Fix compile problem in different python version (#26)

* fix some usage problem in linux

* Fix compile problem

Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>

* Add PaddleDetetion/PPYOLOE model support (#22)

* add ppdet/ppyoloe

* Add demo code and documents

* add convert processor to vision (#27)

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

* fixed examples/CMakeLists.txt to avoid conflicts

* add convert processor to vision

* format examples/CMakeLists summary

* Fix bug while the inference result is empty with YOLOv5 (#29)

* Add multi-label function for yolov5

* Update README.md

Update doc

* Update fastdeploy_runtime.cc

fix variable option.trt_max_shape wrong name

* Update runtime_option.md

Update resnet model dynamic shape setting name from images to x

* Fix bug when inference result boxes are empty

* Delete detection.py

Co-authored-by: Jason <jiangjiajun@baidu.com>
Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: huangjianhui <852142024@qq.com>

* first commit for yolor

* for merge

* Develop (#11)

* Fix compile problem in different python version (#26)

* fix some usage problem in linux

* Fix compile problem

Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>

* Add PaddleDetetion/PPYOLOE model support (#22)

* add ppdet/ppyoloe

* Add demo code and documents

* add convert processor to vision (#27)

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

* fixed examples/CMakeLists.txt to avoid conflicts

* add convert processor to vision

* format examples/CMakeLists summary

* Fix bug while the inference result is empty with YOLOv5 (#29)

* Add multi-label function for yolov5

* Update README.md

Update doc

* Update fastdeploy_runtime.cc

fix variable option.trt_max_shape wrong name

* Update runtime_option.md

Update resnet model dynamic shape setting name from images to x

* Fix bug when inference result boxes are empty

* Delete detection.py

Co-authored-by: Jason <jiangjiajun@baidu.com>
Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: huangjianhui <852142024@qq.com>

* Yolor (#16)

* Develop (#11) (#12)

* Fix compile problem in different python version (#26)

* fix some usage problem in linux

* Fix compile problem

Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>

* Add PaddleDetetion/PPYOLOE model support (#22)

* add ppdet/ppyoloe

* Add demo code and documents

* add convert processor to vision (#27)

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

* fixed examples/CMakeLists.txt to avoid conflicts

* add convert processor to vision

* format examples/CMakeLists summary

* Fix bug while the inference result is empty with YOLOv5 (#29)

* Add multi-label function for yolov5

* Update README.md

Update doc

* Update fastdeploy_runtime.cc

fix variable option.trt_max_shape wrong name

* Update runtime_option.md

Update resnet model dynamic shape setting name from images to x

* Fix bug when inference result boxes are empty

* Delete detection.py

Co-authored-by: Jason <jiangjiajun@baidu.com>
Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: huangjianhui <852142024@qq.com>

Co-authored-by: Jason <jiangjiajun@baidu.com>
Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: huangjianhui <852142024@qq.com>

* Develop (#13)

* Fix compile problem in different python version (#26)

* fix some usage problem in linux

* Fix compile problem

Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>

* Add PaddleDetetion/PPYOLOE model support (#22)

* add ppdet/ppyoloe

* Add demo code and documents

* add convert processor to vision (#27)

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

* fixed examples/CMakeLists.txt to avoid conflicts

* add convert processor to vision

* format examples/CMakeLists summary

* Fix bug while the inference result is empty with YOLOv5 (#29)

* Add multi-label function for yolov5

* Update README.md

Update doc

* Update fastdeploy_runtime.cc

fix variable option.trt_max_shape wrong name

* Update runtime_option.md

Update resnet model dynamic shape setting name from images to x

* Fix bug when inference result boxes are empty

* Delete detection.py

Co-authored-by: Jason <jiangjiajun@baidu.com>
Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: huangjianhui <852142024@qq.com>

* documents

* documents

* documents

* documents

* documents

* documents

* documents

* documents

* documents

* documents

* documents

* documents

* Develop (#14)

* Fix compile problem in different python version (#26)

* fix some usage problem in linux

* Fix compile problem

Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>

* Add PaddleDetetion/PPYOLOE model support (#22)

* add ppdet/ppyoloe

* Add demo code and documents

* add convert processor to vision (#27)

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

* fixed examples/CMakeLists.txt to avoid conflicts

* add convert processor to vision

* format examples/CMakeLists summary

* Fix bug while the inference result is empty with YOLOv5 (#29)

* Add multi-label function for yolov5

* Update README.md

Update doc

* Update fastdeploy_runtime.cc

fix variable option.trt_max_shape wrong name

* Update runtime_option.md

Update resnet model dynamic shape setting name from images to x

* Fix bug when inference result boxes are empty

* Delete detection.py

Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: huangjianhui <852142024@qq.com>

Co-authored-by: Jason <jiangjiajun@baidu.com>
Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: huangjianhui <852142024@qq.com>
Co-authored-by: Jason <928090362@qq.com>

* add is_dynamic for YOLO series (#22)

* modify ppmatting backend and docs

* modify ppmatting docs

* fix the PPMatting size problem

* fix LimitShort's log

* retrigger ci

* modify PPMatting docs

* modify the way  for dealing with  LimitShort

* add python comments for external models

* modify resnet c++ comments

* modify C++ comments for external models

* modify python comments and add result class comments

* fix comments compile error

* modify result.h comments

* deadlink check

* deadlink check

* deadlink check

Co-authored-by: Jason <jiangjiajun@baidu.com>
Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: huangjianhui <852142024@qq.com>
Co-authored-by: Jason <928090362@qq.com>
This commit is contained in:
ziqi-jin
2022-11-14 18:44:33 +08:00
committed by GitHub
parent a36f5d3396
commit 57e5841d2e
15 changed files with 53 additions and 54 deletions
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8
README_CN.md
View File

@@ -112,7 +112,7 @@
```bash
pip install numpy opencv-python fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
```
##### [Conda安装(推荐)](docs/quick_start/Python_prebuilt_wheels.md)
##### [Conda安装(推荐)](docs/cn/build_and_install/download_prebuilt_libraries.md)
```bash
conda config --add channels conda-forge && conda install cudatoolkit=11.2 cudnn=8.2
```
@@ -211,7 +211,7 @@ int main(int argc, char* argv[]) {
|:----------------------:|:--------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------------:|:-------:|:----------:|:-------:|:----------:|:-------:|:-------:|:-----------:|:-------------:|:-------------:|:-------:|
| --- | --- | --- | X86 CPU | NVIDIA GPU | X86 CPU | NVIDIA GPU | X86 CPU | Arm CPU | AArch64 CPU | NVIDIA Jetson | Graphcore IPU | Serving |
| Classification | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| Classification | [TorchVison/ResNet](examples/vision/classification/resnet) | [Python](./examples/vision/classification/resnet/python)/[C++](./examples/vision/classification/resnet/python/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Classification | [TorchVison/ResNet](examples/vision/classification/resnet) | [Python](./examples/vision/classification/resnet/python)/[C++](./examples/vision/classification/resnet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Classification | [ltralytics/YOLOv5Cls](examples/vision/classification/yolov5cls) | [Python](./examples/vision/classification/yolov5cls/python)/[C++](./examples/vision/classification/yolov5cls/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Classification | [PaddleClas/PP-LCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| Classification | [PaddleClas/PP-LCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
@@ -243,9 +243,9 @@ int main(int argc, char* argv[]) {
| Detection | [WongKinYiu/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Detection | [ppogg/YOLOv5Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Detection | [RangiLyu/NanoDetPlus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| KeyPoint | [PaddleDetection/TinyPose](./examples/vision/keypointdetection/tiny_pose) | [Python](./examples/vision/keypointdetection/tiny_pose/python)/[C++](./examples/vision/keypointdetection/tiny_pose/python/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| KeyPoint | [PaddleDetection/TinyPose](./examples/vision/keypointdetection/tiny_pose) | [Python](./examples/vision/keypointdetection/tiny_pose/python)/[C++](./examples/vision/keypointdetection/tiny_pose/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| KeyPoint | [PaddleDetection/PicoDet + TinyPose](./examples/vision/keypointdetection/det_keypoint_unite) | [Python](./examples/vision/keypointdetection/det_keypoint_unite/python)/[C++](./examples/vision/keypointdetection/det_keypoint_unite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| HeadPose | [omasaht/headpose](examples/vision/headpose) | [Python](./xamples/vision/headpose/fsanet/python)/[C++](./xamples/vision/headpose/fsanet/cpp/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| HeadPose | [omasaht/headpose](examples/vision/headpose) | [Python](./examples/vision/headpose/fsanet/python)/[C++](./examples/vision/headpose/fsanet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Tracking | [PaddleDetection/PP-Tracking](examples/vision/tracking/pptracking) | [Python](examples/vision/tracking/pptracking/python)/[C++](examples/vision/tracking/pptracking/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| OCR | [PaddleOCR/PP-OCRv2](./examples/vision/ocr) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/ocr/PP-OCRv3/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| OCR | [PaddleOCR/PP-OCRv3](./examples/vision/ocr) | [Python](./examples/vision/ocr/PP-OCRv3/python)/[C++](./examples/vision/ocr/PP-OCRv3/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |

6
README_EN.md
View File

@@ -219,7 +219,7 @@ Notes: ✅: already supported; ❔: to be supported in the future; N/A: Not Ava
|:-----------------------------:|:---------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------:|:---------------------:|:------------------------:|:------------------------:|:------------------------:|:-----------------------:|:---------------------:|:--------------------------:|:---------------------------:|:--------------------------:|:---------------------------:|
| --- | --- | --- | <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 | <font size=2> Graphcore IPU | Serving|
| Classification | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| Classification | [TorchVison/ResNet](examples/vision/classification/resnet) | [Python](./examples/vision/classification/resnet/python)/[C++](./examples/vision/classification/resnet/python/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Classification | [TorchVison/ResNet](examples/vision/classification/resnet) | [Python](./examples/vision/classification/resnet/python)/[C++](./examples/vision/classification/resnet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Classification | [ltralytics/YOLOv5Cls](examples/vision/classification/yolov5cls) | [Python](./examples/vision/classification/yolov5cls/python)/[C++](./examples/vision/classification/yolov5cls/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Classification | [PaddleClas/PP-LCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| Classification | [PaddleClas/PP-LCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
@@ -251,9 +251,9 @@ Notes: ✅: already supported; ❔: to be supported in the future; N/A: Not Ava
| Detection | [WongKinYiu/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Detection | [ppogg/YOLOv5Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Detection | [RangiLyu/NanoDetPlus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| KeyPoint | [PaddleDetection/TinyPose](./examples/vision/keypointdetection/tiny_pose) | [Python](./examples/vision/keypointdetection/tiny_pose/python)/[C++](./examples/vision/keypointdetection/tiny_pose/python/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| KeyPoint | [PaddleDetection/TinyPose](./examples/vision/keypointdetection/tiny_pose) | [Python](./examples/vision/keypointdetection/tiny_pose/python)/[C++](./examples/vision/keypointdetection/tiny_pose/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| KeyPoint | [PaddleDetection/PicoDet + TinyPose](./examples/vision/keypointdetection/det_keypoint_unite) | [Python](./examples/vision/keypointdetection/det_keypoint_unite/python)/[C++](./examples/vision/keypointdetection/det_keypoint_unite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| HeadPose | [omasaht/headpose](examples/vision/headpose) | [Python](./xamples/vision/headpose/fsanet/python)/[C++](./xamples/vision/headpose/fsanet/cpp/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| HeadPose | [omasaht/headpose](examples/vision/headpose) | [Python](./examples/vision/headpose/fsanet/python)/[C++](./examples/vision/headpose/fsanet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| Tracking | [PaddleDetection/PP-Tracking](examples/vision/tracking/pptracking) | [Python](examples/vision/tracking/pptracking/python)/[C++](examples/vision/tracking/pptracking/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| OCR | [PaddleOCR/PP-OCRv2](./examples/vision/ocr) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/ocr/PP-OCRv3/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |
| OCR | [PaddleOCR/PP-OCRv3](./examples/vision/ocr) | [Python](./examples/vision/ocr/PP-OCRv3/python)/[C++](./examples/vision/ocr/PP-OCRv3/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ |

12
docs/api_docs/cpp/main_page.md
View File

@@ -18,14 +18,14 @@ Currently, FastDeploy supported backends listed as below,
- [C++ examples](./)
### Related APIs
- [RuntimeOption](./structfastdeploy_1_1RuntimeOption.html)
- [Runtime](./structfastdeploy_1_1Runtime.html)
- [RuntimeOption](https://baidu-paddle.github.io/fastdeploy-api/cpp/html/structfastdeploy_1_1RuntimeOption.html)
- [Runtime](https://baidu-paddle.github.io/fastdeploy-api/cpp/html/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](./) |
| object detection | PaddleDetection/PPYOLOE | [fastdeploy::vision::detection::PPYOLOE](https://baidu-paddle.github.io/fastdeploy-api/cpp/html/classfastdeploy_1_1vision_1_1detection_1_1PPYOLOE.html) | [C++](./)/[Python](./) |
| keypoint detection | PaddleDetection/PPTinyPose | [fastdeploy::vision::keypointdetection::PPTinyPose](https://baidu-paddle.github.io/fastdeploy-api/cpp/html/classfastdeploy_1_1pipeline_1_1PPTinyPose.html) | [C++](./)/[Python](./) |
| image classification | PaddleClassification serials | [fastdeploy::vision::classification::PaddleClasModel](https://baidu-paddle.github.io/fastdeploy-api/cpp/html/classfastdeploy_1_1vision_1_1classification_1_1PaddleClasModel.html) | [C++](./)/[Python](./) |
| semantic segmentation | PaddleSegmentation serials | [fastdeploy::vision::classification::PaddleSegModel](https://baidu-paddle.github.io/fastdeploy-api/cpp/html/classfastdeploy_1_1vision_1_1segmentation_1_1PaddleSegModel.html) | [C++](./)/[Python](./) |

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@@ -2,8 +2,8 @@
在运行demo前，需确认以下两个步骤
- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 2. 根据开发环境，下载预编译部署库和samples代码，参考[FastDeploy预编译库](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 2. 根据开发环境，下载预编译部署库和samples代码，参考[FastDeploy预编译库](../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
本文档以 PaddleClas 分类模型 MobileNetV2 为例展示CPU上的推理示例
@@ -113,9 +113,9 @@ make -j
source /Path/to/fastdeploy_cpp_sdk/fastdeploy_init.sh
```
本示例代码在各平台(Windows/Linux/Mac)上通用，但编译过程仅支持(Linux/Mac)，Windows上使用msbuild进行编译，具体使用方式参考[Windows平台使用FastDeploy C++ SDK](../../../../../docs/cn/faq/use_sdk_on_windows.md)
本示例代码在各平台(Windows/Linux/Mac)上通用，但编译过程仅支持(Linux/Mac)，Windows上使用msbuild进行编译，具体使用方式参考[Windows平台使用FastDeploy C++ SDK](../../../docs/cn/faq/use_sdk_on_windows.md)
## 其它文档
- [Runtime Python 示例](../python)
- [切换模型推理的硬件和后端](../../../../../docs/cn/faq/how_to_change_backend.md)
- [切换模型推理的硬件和后端](../../../docs/cn/faq/how_to_change_backend.md)

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在运行demo前，需确认以下两个步骤
- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 2. FastDeploy Python whl包安装，参考[FastDeploy Python安装](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 2. FastDeploy Python whl包安装，参考[FastDeploy Python安装](../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
本文档以 PaddleClas 分类模型 MobileNetV2 为例展示 CPU 上的推理示例
@@ -50,4 +50,4 @@ print(results[0].shape)
## 其它文档
- [Runtime C++ 示例](../cpp)
- [切换模型推理的硬件和后端](../../../../../docs/cn/faq/how_to_change_backend.md)
- [切换模型推理的硬件和后端](../../../docs/cn/faq/how_to_change_backend.md)

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@@ -466,8 +466,7 @@ void Predict(
**参数**
> * **texts**(list(str)): 文本列表
> * **results**(list(dict())): UIE模型抽取结果。UIEResult结构详细可见[UIEResult说明](../../../../docs/api/text_results/uie_result.md)。
> * **results**(list(dict())): UIE模型抽取结果。
## 相关文档
[UIE模型详细介绍](https://github.com/PaddlePaddle/PaddleNLP/blob/develop/model_zoo/uie/README.md)

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@@ -375,7 +375,7 @@ UIEModel模型加载和初始化，其中`model_file`, `params_file`为训练模
> > * **return_dict**(bool): 是否以字典形式输出UIE结果，默认为False。
> **返回**
>
> > 返回`dict(str, list(fastdeploy.text.C.UIEResult))`, 详细可见[UIEResult说明](../../../../docs/api/text_results/uie_result.md)。
> > 返回`dict(str, list(fastdeploy.text.C.UIEResult))`。
## 相关文档

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@@ -118,7 +118,7 @@ Paddle-Lite-Demo/object_detection/linux/picodet_detection/run.sh
## 代码讲解 （使用 Paddle Lite `C++ API` 执行预测）
ARMLinux 示例基于 C++ API 开发，调用 Paddle Lite `C++s API` 包括以下五步。更详细的 `API` 描述参考：[Paddle Lite C++ API ](https://paddle-lite.readthedocs.io/zh/latest/api_reference/c++_api_doc.html)。
ARMLinux 示例基于 C++ API 开发，调用 Paddle Lite `C++s API` 包括以下五步。更详细的 `API` 描述参考：[Paddle Lite C++ API ](https://paddle-lite.readthedocs.io/zh/latest/api_reference/cxx_api_doc.html)。
```c++
#include <iostream>

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@@ -6,7 +6,7 @@ Users can use the one-click model quantization tool to quantize and deploy the m
## FastDeploy One-Click Model Quantization Tool
FastDeploy provides a one-click quantization tool that allows users to quantize a model simply with a configuration file.
For a detailed tutorial, please refer to: [One-Click Model Quantization Tool](... /... /... /... /... /... /... /tools/quantization/)
For a detailed tutorial, please refer to: [One-Click Model Quantization Tool](../../../../../tools/auto_compression/)
## Download Quantized YOLOv5s Model

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@@ -6,7 +6,7 @@ Users can use the one-click model quantization tool to quantize and deploy the m
## FastDeploy One-Click Model Quantization Tool
FastDeploy provides a one-click quantization tool that allows users to quantize a model simply with a configuration file.
For detailed tutorial, please refer to : [One-Click Model Quantization Tool](... /... /... /... /... /... /... /tools/quantization/)
For detailed tutorial, please refer to : [One-Click Model Quantization Tool](../../../../../tools/auto_compression/)
## Download Quantized YOLOv6s Model

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@@ -6,7 +6,7 @@ Users can use the one-click model quantization tool to quantize and deploy the m
## FastDeploy One-Click Model Quantization Tool
FastDeploy provides a one-click quantization tool that allows users to quantize a model simply with a configuration file.
For detailed tutorial, please refer to : [One-Click Model Quantization Tool](... /... /... /... /... /... /... /tools/quantization/)
For detailed tutorial, please refer to : [One-Click Model Quantization Tool](../../../../../tools/auto_compression/)
## Download Quantized YOLOv7 Model

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@@ -37,4 +37,4 @@ ocr模型加载和初始化，其中模型为Paddle.js模型格式，js模型转
- [PP-OCRv3 C++部署](../cpp)
- [模型预测结果说明](../../../../../docs/api/vision_results/)
- [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md)
- [PP-OCRv3 微信小程序部署文档](../../../../application/web_demo/examples/ocrXcx/)
- [PP-OCRv3 微信小程序部署文档](../mini_program/)

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# Model Repository
FastDeploy starts the serving by specifying one or more models in the model repository to deploy the service. When the serving is running, the models in the service can be modified following [Model Management](https://github.com/triton-inference-server/server/blob/main/docs/model_management.md), and obtain serving from one or more model repositories specified at the serving initiation.
FastDeploy starts the serving by specifying one or more models in the model repository to deploy the service. When the serving is running, the models in the service can be modified following [Model Management](https://github.com/triton-inference-server/server/blob/main/docs/user_guide/model_management.md), and obtain serving from one or more model repositories specified at the serving initiation.
## Repository Architecture
@@ -39,7 +39,7 @@ Paddle models are saved in the version number subdirectory, which must be `model
## Model Version
Each model can have one or more versions available in the repository. The subdirectory named with a number in the model directory implies the version number. Subdirectories that are not named with a number, or that start with *0* will be ignored. A [version policy](https://github.com/triton-inference-server/server/blob/main/docs/model_configuration.md#version-policy) can be specified in the model configuration file to control which version of the model in model directory is launched by Triton.
Each model can have one or more versions available in the repository. The subdirectory named with a number in the model directory implies the version number. Subdirectories that are not named with a number, or that start with *0* will be ignored. A [version policy](https://github.com/triton-inference-server/server/blob/main/docs/user_guide/model_configuration.md#version-policy) can be specified in the model configuration file to control which version of the model in model directory is launched by Triton.
## Repository Demo

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模型存储库中的每个模型都必须包含一个模型配置，该配置提供了关于模型的必要和可选信息。这些配置信息一般写在 *config.pbtxt* 文件中，[ModelConfig protobuf](https://github.com/triton-inference-server/common/blob/main/protobuf/model_config.proto)格式。
## 模型通用最小配置
详细的模型通用配置请看官网文档: [model_configuration](https://github.com/triton-inference-server/server/blob/main/docs/model_configuration.md).Triton的最小模型配置必须包括: *platform* 或 *backend* 属性、*max_batch_size* 属性和模型的输入输出.
详细的模型通用配置请看官网文档: [model_configuration](https://github.com/triton-inference-server/server/blob/main/docs/user_guide/model_configuration.md).Triton的最小模型配置必须包括: *platform* 或 *backend* 属性、*max_batch_size* 属性和模型的输入输出.
例如一个Paddle模型，有两个输入*input0* 和 *input1*，一个输出*output0*，输入输出都是float32类型的tensor，最大batch为8.则最小的配置如下:

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# 模型仓库(Model Repository)
FastDeploy启动服务时指定模型仓库中一个或多个模型部署服务。当服务运行时，可以用[Model Management](https://github.com/triton-inference-server/server/blob/main/docs/model_management.md)中描述的方式修改服务中的模型。
FastDeploy启动服务时指定模型仓库中一个或多个模型部署服务。当服务运行时，可以用[Model Management](https://github.com/triton-inference-server/server/blob/main/docs/user_guide/model_management.md)中描述的方式修改服务中的模型。
从服务器启动时指定的一个或多个模型存储库中为模型提供服务
## 仓库结构
@@ -36,7 +36,7 @@ $ fastdeploy --model-repository=<model-repository-path>
Paddle模型存在版本号子目录中，必须为`model.pdmodel`文件和`model.pdiparams`文件。
## 模型版本
每个模型在仓库中可以有一个或多个可用的版本，模型目录中以数字命名的子目录就是对应的版本，数字即版本号。没有以数字命名的子目录，或以*0*开头的子目录都会被忽略。模型配置文件中可以指定[版本策略](https://github.com/triton-inference-server/server/blob/main/docs/model_configuration.md#version-policy)，控制Triton启动模型目录中的哪个版本。
每个模型在仓库中可以有一个或多个可用的版本，模型目录中以数字命名的子目录就是对应的版本，数字即版本号。没有以数字命名的子目录，或以*0*开头的子目录都会被忽略。模型配置文件中可以指定[版本策略](https://github.com/triton-inference-server/server/blob/main/docs/user_guide/model_configuration.md#version-policy)，控制Triton启动模型目录中的哪个版本。
## 模型仓库示例
部署Paddle模型时需要的模型必须是2.0版本以上导出的推理模型，模型包含`model.pdmodel`和`model.pdiparams`两个文件放在版本目录中。