[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:
yeliang2258
2022-12-21 20:00:43 +08:00
committed by GitHub
parent c8c204f1c4
commit 1e9872db94
21 changed files with 71 additions and 82 deletions

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@@ -20,19 +20,11 @@ install(TARGETS infer_demo DESTINATION ./)
install(DIRECTORY models DESTINATION ./)
install(DIRECTORY images DESTINATION ./)
# install(DIRECTORY run_with_adb.sh DESTINATION ./)
file(GLOB FASTDEPLOY_LIBS ${FASTDEPLOY_INSTALL_DIR}/lib/*)
install(PROGRAMS ${FASTDEPLOY_LIBS} DESTINATION lib)
file(GLOB OPENCV_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/opencv/lib/lib*)
install(PROGRAMS ${OPENCV_LIBS} DESTINATION lib)
file(GLOB PADDLELITE_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/paddlelite/lib/lib*)
install(PROGRAMS ${PADDLELITE_LIBS} DESTINATION lib)
file(GLOB TIMVX_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/paddlelite/lib/verisilicon_timvx/*)
install(PROGRAMS ${TIMVX_LIBS} DESTINATION lib)
file(GLOB_RECURSE FASTDEPLOY_LIBS ${FASTDEPLOY_INSTALL_DIR}/lib/lib*.so*)
file(GLOB_RECURSE ALL_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/lib*.so*)
list(APPEND ALL_LIBS ${FASTDEPLOY_LIBS})
install(PROGRAMS ${ALL_LIBS} DESTINATION lib)
file(GLOB ADB_TOOLS run_with_adb.sh)
install(PROGRAMS ${ADB_TOOLS} DESTINATION ./)

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@@ -18,11 +18,12 @@
2. 将编译后的库拷贝到当前目录,可使用如下命令:
```bash
cp -r FastDeploy/build/fastdeploy-tmivx/ FastDeploy/examples/vision/detection/yolov5/a311d/cpp
cp -r FastDeploy/build/fastdeploy-timvx/ FastDeploy/examples/vision/detection/paddledetection/a311d/cpp
```
3. 在当前路径下载部署所需的模型和示例图片:
```bash
cd FastDeploy/examples/vision/detection/paddledetection/a311d/cpp
mkdir models && mkdir images
wget https://bj.bcebos.com/fastdeploy/models/ppyoloe_noshare_qat.tar.gz
tar -xvf ppyoloe_noshare_qat.tar.gz
@@ -33,8 +34,9 @@ cp -r 000000014439.jpg images
4. 编译部署示例,可使入如下命令:
```bash
cd FastDeploy/examples/vision/detection/paddledetection/a311d/cpp
mkdir build && cd build
cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-tmivx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-tmivx -DTARGET_ABI=arm64 ..
cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-timvx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-timvx -DTARGET_ABI=arm64 ..
make -j8
make install
# 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) {
auto params_file = model_dir + sep + "model.pdiparams";
auto config_file = model_dir + sep + "infer_cfg.yml";
auto subgraph_file = model_dir + sep + "subgraph.txt";
fastdeploy::vision::EnableFlyCV();
fastdeploy::RuntimeOption option;
option.UseTimVX();
option.SetLiteSubgraphPartitionPath(subgraph_file);

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@@ -18,11 +18,12 @@
2. 将编译后的库拷贝到当前目录,可使用如下命令:
```bash
cp -r FastDeploy/build/fastdeploy-tmivx/ FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
cp -r FastDeploy/build/fastdeploy-timvx/ FastDeploy/examples/vision/detection/paddledetection/rv1126/cpp
```
3. 在当前路径下载部署所需的模型和示例图片:
```bash
cd FastDeploy/examples/vision/detection/paddledetection/rv1126/cpp
mkdir models && mkdir images
wget https://bj.bcebos.com/fastdeploy/models/ppyoloe_noshare_qat.tar.gz
tar -xvf ppyoloe_noshare_qat.tar.gz
@@ -33,8 +34,9 @@ cp -r 000000014439.jpg images
4. 编译部署示例,可使入如下命令:
```bash
cd FastDeploy/examples/vision/detection/paddledetection/rv1126/cpp
mkdir build && cd build
cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-tmivx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-tmivx -DTARGET_ABI=armhf ..
cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-timvx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-timvx -DTARGET_ABI=armhf ..
make -j8
make install
# 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 ./)
install(DIRECTORY models DESTINATION ./)
install(DIRECTORY images DESTINATION ./)
file(GLOB FASTDEPLOY_LIBS ${FASTDEPLOY_INSTALL_DIR}/lib/*)
install(PROGRAMS ${FASTDEPLOY_LIBS} DESTINATION lib)
file(GLOB OPENCV_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/opencv/lib/lib*)
install(PROGRAMS ${OPENCV_LIBS} DESTINATION lib)
file(GLOB PADDLELITE_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/paddlelite/lib/lib*)
install(PROGRAMS ${PADDLELITE_LIBS} DESTINATION lib)
file(GLOB TIMVX_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/paddlelite/lib/verisilicon_timvx/*)
install(PROGRAMS ${TIMVX_LIBS} DESTINATION lib)
file(GLOB_RECURSE FASTDEPLOY_LIBS ${FASTDEPLOY_INSTALL_DIR}/lib/lib*.so*)
file(GLOB_RECURSE ALL_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/lib*.so*)
list(APPEND ALL_LIBS ${FASTDEPLOY_LIBS})
install(PROGRAMS ${ALL_LIBS} DESTINATION lib)
file(GLOB ADB_TOOLS run_with_adb.sh)
install(PROGRAMS ${ADB_TOOLS} DESTINATION ./)

View File

@@ -17,11 +17,12 @@
2. 将编译后的库拷贝到当前目录,可使用如下命令:
```bash
cp -r FastDeploy/build/fastdeploy-tmivx/ FastDeploy/examples/vision/detection/yolov5/a311d/cpp
cp -r FastDeploy/build/fastdeploy-timvx/ FastDeploy/examples/vision/detection/yolov5/a311d/cpp
```
3. 在当前路径下载部署所需的模型和示例图片:
```bash
cd FastDeploy/examples/vision/detection/yolov5/a311d/cpp
mkdir models && mkdir images
wget https://bj.bcebos.com/fastdeploy/models/yolov5s_ptq_model.tar.gz
tar -xvf yolov5s_ptq_model.tar.gz
@@ -32,8 +33,9 @@ cp -r 000000014439.jpg images
4. 编译部署示例,可使入如下命令:
```bash
cd FastDeploy/examples/vision/detection/yolov5/a311d/cpp
mkdir build && cd build
cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-tmivx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-tmivx -DTARGET_ABI=arm64 ..
cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-timvx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-timvx -DTARGET_ABI=arm64 ..
make -j8
make install
# 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) {
auto model_file = model_dir + sep + "model.pdmodel";
auto params_file = model_dir + sep + "model.pdiparams";
auto subgraph_file = model_dir + sep + "subgraph.txt";
fastdeploy::vision::EnableFlyCV();
fastdeploy::RuntimeOption option;
option.UseTimVX();
option.SetLiteSubgraphPartitionPath(subgraph_file);

View File

@@ -17,11 +17,12 @@
2. 将编译后的库拷贝到当前目录,可使用如下命令:
```bash
cp -r FastDeploy/build/fastdeploy-tmivx/ FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
cp -r FastDeploy/build/fastdeploy-timvx/ FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
```
3. 在当前路径下载部署所需的模型和示例图片:
```bash
cd FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
mkdir models && mkdir images
wget https://bj.bcebos.com/fastdeploy/models/yolov5s_ptq_model.tar.gz
tar -xvf yolov5s_ptq_model.tar.gz
@@ -32,8 +33,9 @@ cp -r 000000014439.jpg images
4. 编译部署示例,可使入如下命令:
```bash
cd FastDeploy/examples/vision/detection/yolov5/rv1126/cpp
mkdir build && cd build
cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-tmivx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-tmivx -DTARGET_ABI=armhf ..
cmake -DCMAKE_TOOLCHAIN_FILE=${PWD}/../fastdeploy-timvx/toolchain.cmake -DFASTDEPLOY_INSTALL_DIR=${PWD}/../fastdeploy-timvx -DTARGET_ABI=armhf ..
make -j8
make install
# 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