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linyangshi 643f41e711 [Model] Support PP-OCRv4 pipeline (#1913) 
* 添加paddleclas模型

* 更新README_CN

* 更新README_CN

* 更新README

* update get_model.sh

* update get_models.sh

* update paddleseg models

* update paddle_seg models

* update paddle_seg models

* modified test resources

* update benchmark_gpu_trt.sh

* add paddle detection

* add paddledetection to benchmark

* modified benchmark cmakelists

* update benchmark scripts

* modified benchmark function calling

* modified paddledetection documents

* upadte getmodels.sh

* add PaddleDetectonModel

* reset examples/paddledetection

* resolve conflict

* update pybind

* resolve conflict

* fix bug

* delete debug mode

* update checkarch log

* update trt inputs example

* Update README.md

* add ppocr_v4

* update ppocr_v4

* update ocr_v4

* update ocr_v4

* update ocr_v4

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---------

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2023-05-11 16:09:50 +08:00
..
fastdeploy_capi
[Model] Support PP-OCRv4 pipeline (#1913)
2023-05-11 16:09:50 +08:00
CMakeLists.txt
[C API] Refactor code structure (#1449)
2023-02-27 20:19:13 +08:00
README_CN.md
[Tutorial Doc] add tutorial for how to use c and c sharp api (#1392)
2023-02-28 21:29:44 +08:00
README.md
[Tutorial Doc] add tutorial for how to use c and c sharp api (#1392)
2023-02-28 21:29:44 +08:00

README.md

C API tutorial

This directory is the implementation of FastDeploy C SDK, which provides solutions for scenarios where users need C API.

How to compile and install

When compiling the fastdeploy library, turn on the compile option --WITH_CAPI=ON to start compiling for this directory. The compiled C library and fastdeploy library are in the same dynamic library file, such as libfastdeploy.a under Linux. For example, to compile the CPU version of fastdeploy and compile the C API into the library, you can use the following command

git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy
mkdir build && cd build
cmake .. -DENABLE_ORT_BACKEND=ON \
          -DENABLE_PADDLE_BACKEND=ON \
          -DENABLE_OPENVINO_BACKEND=ON \
          -DCMAKE_INSTALL_PREFIX=${PWD}/compiled_fastdeploy_sdk \
          -DENABLE_VISION=ON \
          -DWITH_CAPI=ON \
          -DOPENCV_DIRECTORY=/usr/lib/x86_64-linux-gnu/cmake/opencv4 \
          -DENABLE_TEXT=ON
make -j12
make install

For more details about compiling the fastdeploy library, please refer to the documentation

How to use

The header files of the provided C API can be used. If it is manually compiled and installed, such as the above command, after make install, the header files will be in the directory ${PWD}/compiled_fastdeploy_sdk/include/fastdeploy_capi/. If it is a downloaded precompiled library, after decompression, include/fastdeploy_capi/ is the header file of the C API. For usage examples, please refer to the use cases under examples

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