Error in launch Streamer PP-YOLOE C++ Example

环境

• 【FastDeploy版本】： release/1.0.7 分支
• 【系统平台】: Linux x64(Ubuntu 20.04)
• 【硬件】： Nvidia GPU 3080， 环境为 docker nvcr.io/nvidia/deepstream:6.1.1-devel
• 【编译语言】： C++
• 【编译命令】

# 编译 FastDeploy （opencv 版本 4.6.0）
cd FastDeploy
mkdir -p build && cd build

cmake .. \
-D WITH_GPU=ON \
-D ENABLE_ORT_BACKEND=ON \
-D ENABLE_TRT_BACKEND=ON \
-D ENABLE_VISION=ON \
-D CUDA_DIRECTORY=/usr/local/cuda \
-D TRT_DIRECTORY=/root/workspace/TensorRT-8.4.1.5 \
-D OPENCV_DIRECTORY=/root/workspace/opencv/lib/cmake/opencv4 \
-D CMAKE_INSTALL_PREFIX=./install

make -j$(nproc) && make install

# 编译 fdstreamer
cd FastDeploy/streamer/
mkdir -p build && cd build

cmake ..\
-D ENABLE_DEEPSTREAM=ON \
-D FASTDEPLOY_INSTALL_DIR=../build/install

make -j$(nproc)

# 编译 ppyoloe example
cd FastDeploy/streamer/examples/ppyoloe/cpp/
mkdir -p build && cd build

cmake -D FASTDEPLOY_INSTALL_DIR=/root/workspace/FastDeploy/build/install ..

make -j$(nproc)

# 执行
cd FastDeploy/streamer/examples/ppyoloe/cpp/
mv ./build/streamer_demo .
./streamer_demo

• 【报错内容】

root@c560e41fc7fc:~/workspace/FastDeploy/streamer/examples/ppyoloe/cpp# ./streamer_demo 
app
nvurisrcbin_list
nvstreammux
nvinfer
nvtracker
nvmultistreamtiler
nvosdbin
nvvideoencfilesinkbin
[INFO] /root/workspace/FastDeploy/streamer/src/gstreamer/utils.cc(60)::CreatePipeline   Trying to launch pipeline: nvurisrcbin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_ride_bike.mov gpu-id=0 ! mux.sink_0  nvurisrcbin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_ride_bike.mov gpu-id=0 ! mux.sink_1  nvurisrcbin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_ride_bike.mov gpu-id=0 ! mux.sink_2  nvurisrcbin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_ride_bike.mov gpu-id=0 ! mux.sink_3  nvstreammux name=mux gpu-id=0 batch-size=4 width=1920 height=1080 batched-push-timeout=40000 ! nvinfer gpu-id=0 config-file-path=nvinfer_config.txt ! nvtracker gpu-id=0 tracker-width=640 tracker-height=640 ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml enable-batch-process=true ! nvmultistreamtiler gpu-id=0 rows=2 columns=2 ! nvosdbin gpu-id=0 ! nvvideoencfilesinkbin gpu-id=0 bitrate=4000 output-file=out.mp4 
dsnvvideoencfilesinkbin0
gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
gstnvtracker: Batch processing is ON
gstnvtracker: Past frame output is OFF

!![ERROR] yaml-cpp: error at line 25, column 26: bad conversion
An exception occurred. yaml-cpp: error at line 25, column 26: bad conversion
gstnvtracker: Failed to initialize tracker context!
gstnvtracker:: Failed to create batch context. Shutting down processing.
Running...
^C

Start with the tracker configuration referenced in the launch command, especially the YAML error at line 25, column 26, then inspect streamer/src/gstreamer/utils.cc around CreatePipeline. Run streamer_demo using the provided DeepStream setup and verify that the tracker initializes successfully without the yaml-cpp conversion error.