[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

docs/cn/faq/rknpu2/build.md

@@ -47,8 +47,7 @@ cmake ..  -DCMAKE_C_COMPILER=/home/zbc/opt/gcc-linaro-6.3.1-2017.05-x86_64_aarch
           -DENABLE_ORT_BACKEND=OFF \
 	      -DENABLE_RKNPU2_BACKEND=ON \
 	      -DENABLE_VISION=ON \
-	      -DRKNN2_TARGET_SOC=RK3588 \
-	      -DENABLE_FLYCV=ON \
+	      -DRKNN2_TARGET_SOC=RK356X \
           -DCMAKE_INSTALL_PREFIX=${PWD}/fastdeploy-0.0.0
 make -j8
 make install

examples/vision/detection/rkyolo/cpp/CMakeLists.txt

@@ -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})

examples/vision/detection/rkyolo/cpp/README_CN.md

@@ -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
 ```
 
 

fastdeploy/vision/detection/contrib/rknpu2/postprocessor.cc

@@ -141,7 +141,6 @@ int RKYOLOPostprocessor::ProcessFP16(float* input, int* anchor, int grid_h,
           } else {
             limit_score = box_conf_f32 * class_prob_f32;
           }
-          // printf("limit score: %f", limit_score);
           if (limit_score > conf_threshold_) {
             float box_x, box_y, box_w, box_h;
             if (anchor_per_branch_ == 1) {

fastdeploy/vision/detection/contrib/rknpu2/postprocessor.h

@@ -55,28 +55,32 @@ class FASTDEPLOY_DECL RKYOLOPostprocessor {
   /// Get nms_threshold, default 0.45
   float GetNMSThreshold() const { return nms_threshold_; }
 
-  // Set height and weight
+  /// Set height and weight
   void SetHeightAndWeight(int& height, int& width) {
     height_ = height;
     width_ = width;
   }
 
-  // Set pad_hw_values
+  /// Set pad_hw_values
   void SetPadHWValues(std::vector<std::vector<int>> pad_hw_values) {
     pad_hw_values_ = pad_hw_values;
   }
 
-  // Set scale
-  void SetScale(std::vector<float> scale) {
-    scale_ = scale;
-  }
+  /// Set scale
+  void SetScale(std::vector<float> scale) { scale_ = scale; }
 
-  // Set Anchor
+  /// Set Anchor
   void SetAnchor(std::vector<int> anchors, int anchor_per_branch) {
     anchors_ = anchors;
     anchor_per_branch_ = anchor_per_branch;
   }
 
+  /// Set the number of class
+  void SetClassNum(int num) {
+    obj_class_num_ = num;
+    prob_box_size_ = obj_class_num_ + 5;
+  }
+
  private:
   std::vector<int> anchors_ = {10, 13, 16,  30,  33, 23,  30,  61,  62,
                                45, 59, 119, 116, 90, 156, 198, 373, 326};
@@ -85,12 +89,9 @@ class FASTDEPLOY_DECL RKYOLOPostprocessor {
   int width_ = 0;
   int anchor_per_branch_ = 0;
 
-  int ProcessFP16(float *input, int *anchor, int grid_h,
-              int grid_w, int stride,
-              std::vector<float> &boxes,
-              std::vector<float> &boxScores,
-              std::vector<int> &classId,
-              float threshold);
+  int ProcessFP16(float* input, int* anchor, int grid_h, int grid_w, int stride,
+                  std::vector<float>& boxes, std::vector<float>& boxScores,
+                  std::vector<int>& classId, float threshold);
   // Model
   int QuickSortIndiceInverse(std::vector<float>& input, int left, int right,
                              std::vector<int>& indices);