mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-16 05:30:58 +08:00
[Other] Add FlyCV support for A311D (#928)
* add FlyCV support * update doc * update cmake * re-ci * fix bug * fix cmake * fix doc * update doc * fix doc
This commit is contained in:
@@ -20,19 +20,11 @@ install(TARGETS infer_demo DESTINATION ./)
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install(DIRECTORY models DESTINATION ./)
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install(DIRECTORY images DESTINATION ./)
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# install(DIRECTORY run_with_adb.sh DESTINATION ./)
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file(GLOB FASTDEPLOY_LIBS ${FASTDEPLOY_INSTALL_DIR}/lib/*)
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install(PROGRAMS ${FASTDEPLOY_LIBS} DESTINATION lib)
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file(GLOB OPENCV_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/opencv/lib/lib*)
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install(PROGRAMS ${OPENCV_LIBS} DESTINATION lib)
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file(GLOB PADDLELITE_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/paddlelite/lib/lib*)
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install(PROGRAMS ${PADDLELITE_LIBS} DESTINATION lib)
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file(GLOB TIMVX_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/paddlelite/lib/verisilicon_timvx/*)
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install(PROGRAMS ${TIMVX_LIBS} DESTINATION lib)
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file(GLOB_RECURSE FASTDEPLOY_LIBS ${FASTDEPLOY_INSTALL_DIR}/lib/lib*.so*)
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file(GLOB_RECURSE ALL_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/lib*.so*)
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list(APPEND ALL_LIBS ${FASTDEPLOY_LIBS})
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install(PROGRAMS ${ALL_LIBS} DESTINATION lib)
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file(GLOB ADB_TOOLS run_with_adb.sh)
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install(PROGRAMS ${ADB_TOOLS} DESTINATION ./)
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@@ -18,11 +18,12 @@
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2. 将编译后的库拷贝到当前目录,可使用如下命令:
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```bash
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cp -r FastDeploy/build/fastdeploy-tmivx/ FastDeploy/examples/vision/detection/yolov5/a311d/cpp
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cp -r FastDeploy/build/fastdeploy-timvx/ FastDeploy/examples/vision/detection/paddledetection/a311d/cpp
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```
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3. 在当前路径下载部署所需的模型和示例图片:
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```bash
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cd FastDeploy/examples/vision/detection/paddledetection/a311d/cpp
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mkdir models && mkdir images
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wget https://bj.bcebos.com/fastdeploy/models/ppyoloe_noshare_qat.tar.gz
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tar -xvf ppyoloe_noshare_qat.tar.gz
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@@ -33,8 +34,9 @@ cp -r 000000014439.jpg images
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4. 编译部署示例,可使入如下命令:
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```bash
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cd FastDeploy/examples/vision/detection/paddledetection/a311d/cpp
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mkdir build && cd build
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cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-tmivx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-tmivx -DTARGET_ABI=arm64 ..
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cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-timvx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-timvx -DTARGET_ABI=arm64 ..
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make -j8
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make install
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# 成功编译之后,会生成 install 文件夹,里面有一个运行 demo 和部署所需的库
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@@ -24,7 +24,7 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file) {
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auto params_file = model_dir + sep + "model.pdiparams";
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auto config_file = model_dir + sep + "infer_cfg.yml";
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auto subgraph_file = model_dir + sep + "subgraph.txt";
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fastdeploy::vision::EnableFlyCV();
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fastdeploy::RuntimeOption option;
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option.UseTimVX();
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option.SetLiteSubgraphPartitionPath(subgraph_file);
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@@ -18,11 +18,12 @@
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2. 将编译后的库拷贝到当前目录,可使用如下命令:
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```bash
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cp -r FastDeploy/build/fastdeploy-tmivx/ FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
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cp -r FastDeploy/build/fastdeploy-timvx/ FastDeploy/examples/vision/detection/paddledetection/rv1126/cpp
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```
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3. 在当前路径下载部署所需的模型和示例图片:
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```bash
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cd FastDeploy/examples/vision/detection/paddledetection/rv1126/cpp
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mkdir models && mkdir images
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wget https://bj.bcebos.com/fastdeploy/models/ppyoloe_noshare_qat.tar.gz
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tar -xvf ppyoloe_noshare_qat.tar.gz
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@@ -33,8 +34,9 @@ cp -r 000000014439.jpg images
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4. 编译部署示例,可使入如下命令:
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```bash
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cd FastDeploy/examples/vision/detection/paddledetection/rv1126/cpp
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mkdir build && cd build
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cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-tmivx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-tmivx -DTARGET_ABI=armhf ..
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cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-timvx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-timvx -DTARGET_ABI=armhf ..
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make -j8
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make install
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# 成功编译之后,会生成 install 文件夹,里面有一个运行 demo 和部署所需的库
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@@ -21,17 +21,10 @@ install(TARGETS infer_demo DESTINATION ./)
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install(DIRECTORY models DESTINATION ./)
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install(DIRECTORY images DESTINATION ./)
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file(GLOB FASTDEPLOY_LIBS ${FASTDEPLOY_INSTALL_DIR}/lib/*)
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install(PROGRAMS ${FASTDEPLOY_LIBS} DESTINATION lib)
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file(GLOB OPENCV_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/opencv/lib/lib*)
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install(PROGRAMS ${OPENCV_LIBS} DESTINATION lib)
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file(GLOB PADDLELITE_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/paddlelite/lib/lib*)
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install(PROGRAMS ${PADDLELITE_LIBS} DESTINATION lib)
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file(GLOB TIMVX_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/paddlelite/lib/verisilicon_timvx/*)
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install(PROGRAMS ${TIMVX_LIBS} DESTINATION lib)
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file(GLOB_RECURSE FASTDEPLOY_LIBS ${FASTDEPLOY_INSTALL_DIR}/lib/lib*.so*)
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file(GLOB_RECURSE ALL_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/lib*.so*)
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list(APPEND ALL_LIBS ${FASTDEPLOY_LIBS})
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install(PROGRAMS ${ALL_LIBS} DESTINATION lib)
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file(GLOB ADB_TOOLS run_with_adb.sh)
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install(PROGRAMS ${ADB_TOOLS} DESTINATION ./)
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@@ -17,11 +17,12 @@
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2. 将编译后的库拷贝到当前目录,可使用如下命令:
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```bash
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cp -r FastDeploy/build/fastdeploy-tmivx/ FastDeploy/examples/vision/detection/yolov5/a311d/cpp
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cp -r FastDeploy/build/fastdeploy-timvx/ FastDeploy/examples/vision/detection/yolov5/a311d/cpp
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```
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3. 在当前路径下载部署所需的模型和示例图片:
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```bash
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cd FastDeploy/examples/vision/detection/yolov5/a311d/cpp
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mkdir models && mkdir images
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wget https://bj.bcebos.com/fastdeploy/models/yolov5s_ptq_model.tar.gz
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tar -xvf yolov5s_ptq_model.tar.gz
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@@ -32,8 +33,9 @@ cp -r 000000014439.jpg images
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4. 编译部署示例,可使入如下命令:
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```bash
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cd FastDeploy/examples/vision/detection/yolov5/a311d/cpp
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mkdir build && cd build
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cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-tmivx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-tmivx -DTARGET_ABI=arm64 ..
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cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-timvx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-timvx -DTARGET_ABI=arm64 ..
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make -j8
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make install
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# 成功编译之后,会生成 install 文件夹,里面有一个运行 demo 和部署所需的库
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@@ -23,7 +23,7 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file) {
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auto model_file = model_dir + sep + "model.pdmodel";
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auto params_file = model_dir + sep + "model.pdiparams";
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auto subgraph_file = model_dir + sep + "subgraph.txt";
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fastdeploy::vision::EnableFlyCV();
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fastdeploy::RuntimeOption option;
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option.UseTimVX();
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option.SetLiteSubgraphPartitionPath(subgraph_file);
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@@ -17,11 +17,12 @@
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2. 将编译后的库拷贝到当前目录,可使用如下命令:
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```bash
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cp -r FastDeploy/build/fastdeploy-tmivx/ FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
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cp -r FastDeploy/build/fastdeploy-timvx/ FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
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```
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3. 在当前路径下载部署所需的模型和示例图片:
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```bash
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cd FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
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mkdir models && mkdir images
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wget https://bj.bcebos.com/fastdeploy/models/yolov5s_ptq_model.tar.gz
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tar -xvf yolov5s_ptq_model.tar.gz
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@@ -32,8 +33,9 @@ cp -r 000000014439.jpg images
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4. 编译部署示例,可使入如下命令:
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```bash
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cd FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
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mkdir build && cd build
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cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-tmivx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-tmivx -DTARGET_ABI=armhf ..
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cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-timvx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-timvx -DTARGET_ABI=armhf ..
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make -j8
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make install
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# 成功编译之后,会生成 install 文件夹,里面有一个运行 demo 和部署所需的库
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