[Bug Fix] fixed labels setting of YOLOv5 (#1213)

修复自己训练的yolov5无法指定label个数的错误
This commit is contained in:
Zheng-Bicheng
2023-02-02 15:28:38 +08:00
committed by GitHub
parent a711f99c69
commit afa3b886f3
5 changed files with 24 additions and 96 deletions

View File

@@ -4,34 +4,9 @@ project(rknpu2_test)
set(CMAKE_CXX_STANDARD 14)
# 指定下载解压后的fastdeploy库路径
set(FASTDEPLOY_INSTALL_DIR "thirdpartys/fastdeploy-0.0.3")
include(${FASTDEPLOY_INSTALL_DIR}/FastDeployConfig.cmake)
include_directories(${FastDeploy_INCLUDE_DIRS})
option(FASTDEPLOY_INSTALL_DIR "Path of downloaded fastdeploy sdk.")
include(${FASTDEPLOY_INSTALL_DIR}/FastDeploy.cmake)
# 添加FastDeploy依赖头文件
include_directories(${FASTDEPLOY_INCS})
add_executable(infer_rkyolo infer_rkyolo.cc)
target_link_libraries(infer_rkyolo ${FastDeploy_LIBS})
set(CMAKE_INSTALL_PREFIX ${CMAKE_SOURCE_DIR}/build/install)
install(TARGETS infer_rkyolo DESTINATION ./)
install(DIRECTORY model DESTINATION ./)
install(DIRECTORY images DESTINATION ./)
file(GLOB FASTDEPLOY_LIBS ${FASTDEPLOY_INSTALL_DIR}/lib/*)
message("${FASTDEPLOY_LIBS}")
install(PROGRAMS ${FASTDEPLOY_LIBS} DESTINATION lib)
file(GLOB ONNXRUNTIME_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/onnxruntime/lib/*)
install(PROGRAMS ${ONNXRUNTIME_LIBS} DESTINATION lib)
install(DIRECTORY ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/opencv/lib DESTINATION ./)
file(GLOB PADDLETOONNX_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/paddle2onnx/lib/*)
install(PROGRAMS ${PADDLETOONNX_LIBS} DESTINATION lib)
file(GLOB RKNPU2_LIBS ${FASTDEPLOY_INSTALL_DIR}/third_libs/install/rknpu2_runtime/${RKNN2_TARGET_SOC}/lib/*)
install(PROGRAMS ${RKNPU2_LIBS} DESTINATION lib)
target_link_libraries(infer_rkyolo ${FASTDEPLOY_LIBS})

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@@ -10,58 +10,12 @@
以上步骤请参考[RK2代NPU部署库编译](../../../../../docs/cn/build_and_install/rknpu2.md)实现
## 生成基本目录文件
该例程由以下几个部分组成
```text
.
├── CMakeLists.txt
├── build # 编译文件夹
├── image # 存放图片的文件夹
├── infer_rkyolo.cc
├── model # 存放模型文件的文件夹
└── thirdpartys # 存放sdk的文件夹
```
首先需要先生成目录结构
```bash
mkdir build
mkdir images
mkdir model
mkdir thirdpartys
```
## 编译
### 编译并拷贝SDK到thirdpartys文件夹
请参考[RK2代NPU部署库编译](../../../../../docs/cn/build_and_install/rknpu2.md)仓库编译SDK编译完成后将在build目录下生成
fastdeploy-0.0.3目录请移动它至thirdpartys目录下.
### 拷贝模型文件以及配置文件至model文件夹
在Paddle动态图模型 -> Paddle静态图模型 -> ONNX模型的过程中将生成ONNX文件以及对应的yaml配置文件请将配置文件存放到model文件夹内。
转换为RKNN后的模型文件也需要拷贝至model。
### 准备测试图片至image文件夹
```bash
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
cp 000000014439.jpg ./images
```
### 编译example
```bash
cd build
cmake ..
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
make -j8
make install
```
## 运行例程
```bash
cd ./build/install
./infer_picodet model/ images/000000014439.jpg
./infer_rkyolo /path/to/model 000000014439.jpg
```