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Hi,
I've gotten most of the way through building ros deep learning.
Using latest Nano image (r32.2), Ubuntu 18.04, CUDA 10.0, ROS Melodic.
Getting the following...
The ros_deep_learning repo has now been updated for JetPack 4.2 and to build against jetson-inference master. Let me know if you have any more problems building it.
Hi,
I've gotten most of the way through building ros deep learning.
Using latest Nano image (r32.2), Ubuntu 18.04, CUDA 10.0, ROS Melodic.
Getting the following...
nano@nano:~/catkin_ws$ catkin_make
Base path: /home/nano/catkin_ws
Source space: /home/nano/catkin_ws/src
Build space: /home/nano/catkin_ws/build
Devel space: /home/nano/catkin_ws/devel
Install space: /home/nano/catkin_ws/install
Running command: "make cmake_check_build_system" in "/home/nano/catkin_ws/build"
Running command: "make -j4 -l4" in "/home/nano/catkin_ws/build"
[ 50%] Built target segnet
[ 50%] Built target imagenet
[ 58%] Building CXX object ros_deep_learning/CMakeFiles/detectnet.dir/src/node_detectnet.cpp.o
[ 83%] Built target ros_deep_learning_nodelets
/home/nano/catkin_ws/src/ros_deep_learning/src/node_detectnet.cpp: In function ‘void img_callback(const ImageConstPtr&)’:
/home/nano/catkin_ws/src/ros_deep_learning/src/node_detectnet.cpp:74:119: error: no matching function for call to ‘detectNet::Detect(float*, uint32_t, uint32_t, float*&, int*, float*&)’
const bool result = net->Detect(cvt->ImageGPU(), cvt->GetWidth(), cvt->GetHeight(), bbCPU, &numBoundingBoxes, confCPU);
^
In file included from /home/nano/catkin_ws/src/ros_deep_learning/src/node_detectnet.cpp:29:0:
/usr/local/include/jetson-inference/detectNet.h:271:6: note: candidate: int detectNet::Detect(float*, uint32_t, uint32_t, detectNet::Detection**, uint32_t)
int Detect( float* input, uint32_t width, uint32_t height, Detection** detections, uint32_t overlay=OVERLAY_BOX );
^~~~~~
/usr/local/include/jetson-inference/detectNet.h:271:6: note: candidate expects 5 arguments, 6 provided
/usr/local/include/jetson-inference/detectNet.h:283:6: note: candidate: int detectNet::Detect(float*, uint32_t, uint32_t, detectNet::Detection*, uint32_t)
int Detect( float* input, uint32_t width, uint32_t height, Detection* detections, uint32_t overlay=OVERLAY_BOX );
^~~~~~
/usr/local/include/jetson-inference/detectNet.h:283:6: note: candidate expects 5 arguments, 6 provided
/home/nano/catkin_ws/src/ros_deep_learning/src/node_detectnet.cpp:77:7: error: in argument to unary !
if( !result )
^~~~~~
/home/nano/catkin_ws/src/ros_deep_learning/src/node_detectnet.cpp: In function ‘int main(int, char**)’:
/home/nano/catkin_ws/src/ros_deep_learning/src/node_detectnet.cpp:205:20: error: ‘class detectNet’ has no member named ‘GetMaxBoundingBoxes’
maxBoxes = net->GetMaxBoundingBoxes();
^~~~~~~~~~~~~~~~~~~
ros_deep_learning/CMakeFiles/detectnet.dir/build.make:62: recipe for target 'ros_deep_learning/CMakeFiles/detectnet.dir/src/node_detectnet.cpp.o' failed
make[2]: *** [ros_deep_learning/CMakeFiles/detectnet.dir/src/node_detectnet.cpp.o] Error 1
CMakeFiles/Makefile2:1436: recipe for target 'ros_deep_learning/CMakeFiles/detectnet.dir/all' failed
make[1]: *** [ros_deep_learning/CMakeFiles/detectnet.dir/all] Error 2
Makefile:140: recipe for target 'all' failed
make: *** [all] Error 2
Invoking "make -j4 -l4" failed
Any thoughts Dusty? I've searched for answers and tried installing several times. Keep getting stuck at this point.
Thanks,
Ben
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